diff --git "a/cvpr/cvpr2019.json" "b/cvpr/cvpr2019.json" new file mode 100644--- /dev/null +++ "b/cvpr/cvpr2019.json" @@ -0,0 +1,18118 @@ +[ + { + "title": "2.5D Visual Sound", + "status": "Oral", + "site": "", + "track": "main", + "project": "http://vision.cs.utexas.edu/projects/2.5D_visual_sound/", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Gao_2.5D_Visual_Sound_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ruohan Gao; Kristen Grauman", + "aff": "Facebook AI Research; The University of Texas at Austin", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Gao_2.5D_Visual_Sound_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "3D Appearance Super-Resolution With Deep Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_3D_Appearance_Super-Resolution_With_Deep_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yawei Li; Vagia Tsiminaki; Radu Timofte; Marc Pollefeys; Luc Van Gool", + "aff": "Computer Vision and Geometry Group, ETH Zurich, Switzerland; Computer Vision and Geometry Group, ETH Zurich, Switzerland, Microsoft, USA; Computer Vision Lab, ETH Zurich, Switzerland", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_3D_Appearance_Super-Resolution_With_Deep_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "3D Guided Fine-Grained Face Manipulation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Geng_3D_Guided_Fine-Grained_Face_Manipulation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhenglin Geng; Chen Cao; Sergey Tulyakov", + "aff": "Stanford University; Snap Inc.", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Geng_3D_Guided_Fine-Grained_Face_Manipulation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "3D Hand Shape and Pose Estimation From a Single RGB Image", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ge_3D_Hand_Shape_and_Pose_Estimation_From_a_Single_RGB_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Liuhao Ge; Zhou Ren; Yuncheng Li; Zehao Xue; Yingying Wang; Jianfei Cai; Junsong Yuan", + "aff": "State University of New York at Buffalo; Wormpex AI Research; Nanyang Technological University; Snap Inc.", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ge_3D_Hand_Shape_and_Pose_Estimation_From_a_Single_RGB_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "3D Hand Shape and Pose From Images in the Wild", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Boukhayma_3D_Hand_Shape_and_Pose_From_Images_in_the_Wild_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Adnane Boukhayma; Rodrigo de Bem; Philip H.S. Torr", + "aff": "Federal University of Rio Grande, Brazil; University of Oxford, UK", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Boukhayma_3D_Hand_Shape_and_Pose_From_Images_in_the_Wild_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/facebookresearch/VideoPose3D", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Pavllo_3D_Human_Pose_Estimation_in_Video_With_Temporal_Convolutions_and_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Dario Pavllo; Christoph Feichtenhofer; David Grangier; Michael Auli", + "aff": "ETH Z\u00fcrich; Facebook AI Research; Google Brain", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Pavllo_3D_Human_Pose_Estimation_in_Video_With_Temporal_Convolutions_and_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "3D Local Features for Direct Pairwise Registration", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Deng_3D_Local_Features_for_Direct_Pairwise_Registration_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Haowen Deng; Tolga Birdal; Slobodan Ilic", + "aff": "National University of Defense Technology, China; Technische Universit\u00e4t M\u00fcnchen, Germany; Siemens AG, M\u00fcnchen, Germany", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Deng_3D_Local_Features_for_Direct_Pairwise_Registration_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "3D Motion Decomposition for RGBD Future Dynamic Scene Synthesis", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Qi_3D_Motion_Decomposition_for_RGBD_Future_Dynamic_Scene_Synthesis_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiaojuan Qi; Zhengzhe Liu; Qifeng Chen; Jiaya Jia", + "aff": "HKUST; University of Oxford; CUHK & YouTu Lab; DJI", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Qi_3D_Motion_Decomposition_for_RGBD_Future_Dynamic_Scene_Synthesis_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "3D Point Capsule Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhao_3D_Point_Capsule_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yongheng Zhao; Tolga Birdal; Haowen Deng; Federico Tombari", + "aff": "Technische Universit\u00e4t M\u00fcnchen, Germany; University of Padova, Italy; Siemens AG, M\u00fcnchen, Germany", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhao_3D_Point_Capsule_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "3D Shape Reconstruction From Images in the Frequency Domain", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Shen_3D_Shape_Reconstruction_From_Images_in_the_Frequency_Domain_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Weichao Shen; Yunde Jia; Yuwei Wu", + "aff": "Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, 100081", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Shen_3D_Shape_Reconstruction_From_Images_in_the_Frequency_Domain_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hou_3D-SIS_3D_Semantic_Instance_Segmentation_of_RGB-D_Scans_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ji Hou; Angela Dai; Matthias Nie\u00c3\u009fner", + "aff": "Technical University of Munich", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hou_3D-SIS_3D_Semantic_Instance_Segmentation_of_RGB-D_Scans_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "3DN: 3D Deformation Network", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_3DN_3D_Deformation_Network_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Weiyue Wang; Duygu Ceylan; Radomir Mech; Ulrich Neumann", + "aff": "Adobe; University of Southern California", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_3DN_3D_Deformation_Network_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/StanfordVL/MinkowskiEngine", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Choy_4D_Spatio-Temporal_ConvNets_Minkowski_Convolutional_Neural_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Christopher Choy; JunYoung Gwak; Silvio Savarese", + "aff": "Stanford University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Choy_4D_Spatio-Temporal_ConvNets_Minkowski_Convolutional_Neural_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Bayesian Perspective on the Deep Image Prior", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://people.cs.umass.edu/~zezhoucheng/gp-dip", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Cheng_A_Bayesian_Perspective_on_the_Deep_Image_Prior_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zezhou Cheng; Matheus Gadelha; Subhransu Maji; Daniel Sheldon", + "aff": "University of Massachusetts, Amherst", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Cheng_A_Bayesian_Perspective_on_the_Deep_Image_Prior_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Compact Embedding for Facial Expression Similarity", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://ai.google/tools/datasets/google-facial-expression/", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Vemulapalli_A_Compact_Embedding_for_Facial_Expression_Similarity_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Raviteja Vemulapalli; Aseem Agarwala", + "aff": "Google AI", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Vemulapalli_A_Compact_Embedding_for_Facial_Expression_Similarity_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Content Transformation Block for Image Style Transfer", + "status": "Poster", + "site": "", + "track": "main", + "project": "2compvis.github.io/content-targeted-style-transfer/", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kotovenko_A_Content_Transformation_Block_for_Image_Style_Transfer_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Dmytro Kotovenko; Artsiom Sanakoyeu; Pingchuan Ma; Sabine Lang; Bj\u00c3\u00b6rn Ommer", + "aff": "Heidelberg Collaboratory for Image Processing, IWR, Heidelberg University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kotovenko_A_Content_Transformation_Block_for_Image_Style_Transfer_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Convex Relaxation for Multi-Graph Matching", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Swoboda_A_Convex_Relaxation_for_Multi-Graph_Matching_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Paul Swoboda; Dagmar Kainm\u00c2\u00a8uller; Ashkan Mokarian; Christian Theobalt; Florian Bernard", + "aff": "Berlin Institute of Health, MDC Berlin; MPI Informatics, Saarland Informatics Campus", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Swoboda_A_Convex_Relaxation_for_Multi-Graph_Matching_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Cross-Season Correspondence Dataset for Robust Semantic Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Larsson_A_Cross-Season_Correspondence_Dataset_for_Robust_Semantic_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "M\u00c3\u00a5ns Larsson; Erik Stenborg; Lars Hammarstrand; Marc Pollefeys; Torsten Sattler; Fredrik Kahl", + "aff": "Chalmers University of Technology; Department of Computer Science, ETH Zurich", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Larsson_A_Cross-Season_Correspondence_Dataset_for_Robust_Semantic_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://sites.google.com/qq.com/chalearnfacespoofingattackdete/", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_A_Dataset_and_Benchmark_for_Large-Scale_Multi-Modal_Face_Anti-Spoofing_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Shifeng Zhang; Xiaobo Wang; Ajian Liu; Chenxu Zhao; Jun Wan; Sergio Escalera; Hailin Shi; Zezheng Wang; Stan Z. Li", + "aff": "JD Finance; MUST, Macau, China; JD AI Research; NLPR, CASIA, UCAS, China; Universitat de Barcelona, Computer Vision Center, Spain", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_A_Dataset_and_Benchmark_for_Large-Scale_Multi-Modal_Face_Anti-Spoofing_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Decomposition Algorithm for the Sparse Generalized Eigenvalue Problem", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yuan_A_Decomposition_Algorithm_for_the_Sparse_Generalized_Eigenvalue_Problem_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ganzhao Yuan; Li Shen; Wei-Shi Zheng", + "aff": "Center for Quantum Computing, Peng Cheng Laboratory, Shenzhen 518005, China; School of Data and Computer Science, Sun Yat-sen University, China; Key Laboratory of Machine Intelligence and Advanced Computing (Sun Yat-sen University), Ministry of Education, China; Tencent AI Lab, Shenzhen, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yuan_A_Decomposition_Algorithm_for_the_Sparse_Generalized_Eigenvalue_Problem_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Flexible Convolutional Solver for Fast Style Transfers", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Puy_A_Flexible_Convolutional_Solver_for_Fast_Style_Transfers_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Gilles Puy; Patrick P\u00c3\u00a9rez", + "aff": "Valeo.ai; Technicolor", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Puy_A_Flexible_Convolutional_Solver_for_Fast_Style_Transfers_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A General and Adaptive Robust Loss Function", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Barron_A_General_and_Adaptive_Robust_Loss_Function_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jonathan T. Barron", + "aff": "Google Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Barron_A_General_and_Adaptive_Robust_Loss_Function_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Generative Adversarial Density Estimator", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Abbasnejad_A_Generative_Adversarial_Density_Estimator_CVPR_2019_paper.pdf", + "youtube": "", + "author": "M. Ehsan Abbasnejad; Qinfeng Shi; Anton van den Hengel; Lingqiao Liu", + "aff": "Australian Institute of Machine Learning & The University of Adelaide, Australia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Abbasnejad_A_Generative_Adversarial_Density_Estimator_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Generative Appearance Model for End-To-End Video Object Segmentation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Johnander_A_Generative_Appearance_Model_for_End-To-End_Video_Object_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Joakim Johnander; Martin Danelljan; Emil Brissman; Fahad Shahbaz Khan; Michael Felsberg", + "aff": "CVL, Link\u00f6ping University, Sweden and CVL, ETH Z\u00fcrich, Switzerland; CVL, Link\u00f6ping University, Sweden and Saab, Sweden; CVL, Link\u00f6ping University, Sweden; CVL, Link\u00f6ping University, Sweden and Zenuity, Sweden; CVL, Link\u00f6ping University, Sweden and IIAI, UAE", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Johnander_A_Generative_Appearance_Model_for_End-To-End_Video_Object_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Taghanaki_A_Kernelized_Manifold_Mapping_to_Diminish_the_Effect_of_Adversarial_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Saeid Asgari Taghanaki; Kumar Abhishek; Shekoofeh Azizi; Ghassan Hamarneh", + "aff": "School of Computing Science, Simon Fraser University, Canada; Department of Electrical and Computer Engineering, University of British Columbia, Canada", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Taghanaki_A_Kernelized_Manifold_Mapping_to_Diminish_the_Effect_of_Adversarial_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Late Fusion CNN for Digital Matting", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_A_Late_Fusion_CNN_for_Digital_Matting_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yunke Zhang; Lixue Gong; Lubin Fan; Peiran Ren; Qixing Huang; Hujun Bao; Weiwei Xu", + "aff": "Alibaba Group; University of Texas at Austin; Zhejiang University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_A_Late_Fusion_CNN_for_Digital_Matting_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Local Block Coordinate Descent Algorithm for the CSC Model", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zisselman_A_Local_Block_Coordinate_Descent_Algorithm_for_the_CSC_Model_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ev Zisselman; Jeremias Sulam; Michael Elad", + "aff": "Technion, Israel Institute of Technology; Johns Hopkins University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zisselman_A_Local_Block_Coordinate_Descent_Algorithm_for_the_CSC_Model_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Main/Subsidiary Network Framework for Simplifying Binary Neural Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xu_A_MainSubsidiary_Network_Framework_for_Simplifying_Binary_Neural_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yinghao Xu; Xin Dong; Yudian Li; Hao Su", + "aff": "University of California, San Diego; University of Electronic Science and Technology of China; Harvard University; Zhejiang University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xu_A_MainSubsidiary_Network_Framework_for_Simplifying_Binary_Neural_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Mutual Learning Method for Salient Object Detection With Intertwined Multi-Supervision", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wu_A_Mutual_Learning_Method_for_Salient_Object_Detection_With_Intertwined_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Runmin Wu; Mengyang Feng; Wenlong Guan; Dong Wang; Huchuan Lu; Errui Ding", + "aff": "Dalian University of Technology; Department of Computer Vision Technology (VIS), Baidu Inc.", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wu_A_Mutual_Learning_Method_for_Salient_Object_Detection_With_Intertwined_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Neural Network Based on SPD Manifold Learning for Skeleton-Based Hand Gesture Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Nguyen_A_Neural_Network_Based_on_SPD_Manifold_Learning_for_Skeleton-Based_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xuan Son Nguyen; Luc Brun; Olivier L\u00c3\u00a9zoray; S\u00c3\u00a9bastien Bougleux", + "aff": "Normandie Univ, UNICAEN, CNRS, 14000 Caen, France; Normandie Univ, UNICAEN, ENSICAEN, CNRS, GREYC, 14000 Caen, France", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Nguyen_A_Neural_Network_Based_on_SPD_Manifold_Learning_for_Skeleton-Based_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Neural Temporal Model for Human Motion Prediction", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/cr7anand/neural temporal models", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Gopalakrishnan_A_Neural_Temporal_Model_for_Human_Motion_Prediction_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Anand Gopalakrishnan; Ankur Mali; Dan Kifer; Lee Giles; Alexander G. Ororbia", + "aff": "Rochester Institute of Technology, Rochester, NY, 146232; Pennsylvania State University, University Park, PA, 168011", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Gopalakrishnan_A_Neural_Temporal_Model_for_Human_Motion_Prediction_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Neurobiological Evaluation Metric for Neural Network Model Search", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Blanchard_A_Neurobiological_Evaluation_Metric_for_Neural_Network_Model_Search_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Nathaniel Blanchard; Jeffery Kinnison; Brandon RichardWebster; Pouya Bashivan; Walter J. Scheirer", + "aff": "Computer Science and Engineering, University of Notre Dame; McGovern Institute for Brain Research and Dept. of Brain and Cognitive Sciences, MIT; Dept. of Computer Science and Engineering, University of Notre Dame", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Blanchard_A_Neurobiological_Evaluation_Metric_for_Neural_Network_Model_Search_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Parametric Top-View Representation of Complex Road Scenes", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_A_Parametric_Top-View_Representation_of_Complex_Road_Scenes_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ziyan Wang; Buyu Liu; Samuel Schulter; Manmohan Chandraker", + "aff": "NEC Laboratories America, UC San Diego; Carnegie Mellon University; NEC Laboratories America", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_A_Parametric_Top-View_Representation_of_Complex_Road_Scenes_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Perceptual Prediction Framework for Self Supervised Event Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Aakur_A_Perceptual_Prediction_Framework_for_Self_Supervised_Event_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Sathyanarayanan N. Aakur; Sudeep Sarkar", + "aff": "University of South Florida, Tampa, FL, USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Aakur_A_Perceptual_Prediction_Framework_for_Self_Supervised_Event_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Poisson-Gaussian Denoising Dataset With Real Fluorescence Microscopy Images", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_A_Poisson-Gaussian_Denoising_Dataset_With_Real_Fluorescence_Microscopy_Images_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yide Zhang; Yinhao Zhu; Evan Nichols; Qingfei Wang; Siyuan Zhang; Cody Smith; Scott Howard", + "aff": "University of Notre Dame, Notre Dame, IN 46556, USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_A_Poisson-Gaussian_Denoising_Dataset_With_Real_Fluorescence_Microscopy_Images_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Mou_A_Relation-Augmented_Fully_Convolutional_Network_for_Semantic_Segmentation_in_Aerial_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Lichao Mou; Yuansheng Hua; Xiao Xiang Zhu", + "aff": "Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Germany; Signal Processing in Earth Observation (SiPEO), Technical University of Munich (TUM), Germany", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Mou_A_Relation-Augmented_Fully_Convolutional_Network_for_Semantic_Segmentation_in_Aerial_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Robust Local Spectral Descriptor for Matching Non-Rigid Shapes With Incompatible Shape Structures", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_A_Robust_Local_Spectral_Descriptor_for_Matching_Non-Rigid_Shapes_With_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yiqun Wang; Jianwei Guo; Dong-Ming Yan; Kai Wang; Xiaopeng Zhang", + "aff": "University Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab; NLPR, Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_A_Robust_Local_Spectral_Descriptor_for_Matching_Non-Rigid_Shapes_With_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Simple Baseline for Audio-Visual Scene-Aware Dialog", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Schwartz_A_Simple_Baseline_for_Audio-Visual_Scene-Aware_Dialog_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Idan Schwartz; Alexander G. Schwing; Tamir Hazan", + "aff": "Technion; UIUC", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Schwartz_A_Simple_Baseline_for_Audio-Visual_Scene-Aware_Dialog_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Simple Pooling-Based Design for Real-Time Salient Object Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "http://mmcheng.net/poolnet/", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_A_Simple_Pooling-Based_Design_for_Real-Time_Salient_Object_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jiang-Jiang Liu; Qibin Hou; Ming-Ming Cheng; Jiashi Feng; Jianmin Jiang", + "aff": "Shenzhen University; NUS; TKLNDST, College of CS, Nankai University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_A_Simple_Pooling-Based_Design_for_Real-Time_Salient_Object_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Skeleton-Bridged Deep Learning Approach for Generating Meshes of Complex Topologies From Single RGB Images", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tang_A_Skeleton-Bridged_Deep_Learning_Approach_for_Generating_Meshes_of_Complex_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jiapeng Tang; Xiaoguang Han; Junyi Pan; Kui Jia; Xin Tong", + "aff": "Microsoft Research Asia; Shenzhen Research Institute of Big Data, the Chinese University of Hong Kong (Shenzhen); School of Electronic and Information Engineering, South China University of Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tang_A_Skeleton-Bridged_Deep_Learning_Approach_for_Generating_Meshes_of_Complex_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Structured Model for Action Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_A_Structured_Model_for_Action_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yubo Zhang; Pavel Tokmakov; Martial Hebert; Cordelia Schmid", + "aff": "Carnegie Mellon University; Google Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_A_Structured_Model_for_Action_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Style-Based Generator Architecture for Generative Adversarial Networks", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/NVlabs/stylegan", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Karras_A_Style-Based_Generator_Architecture_for_Generative_Adversarial_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Tero Karras; Samuli Laine; Timo Aila", + "aff": "NVIDIA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Karras_A_Style-Based_Generator_Architecture_for_Generative_Adversarial_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Sufficient Condition for Convergences of Adam and RMSProp", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zou_A_Sufficient_Condition_for_Convergences_of_Adam_and_RMSProp_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Fangyu Zou; Li Shen; Zequn Jie; Weizhong Zhang; Wei Liu", + "aff": "\u2020Stony Brook University; \u2021Tencent AI Lab", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zou_A_Sufficient_Condition_for_Convergences_of_Adam_and_RMSProp_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Do_A_Theoretically_Sound_Upper_Bound_on_the_Triplet_Loss_for_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Thanh-Toan Do; Toan Tran; Ian Reid; Vijay Kumar; Tuan Hoang; Gustavo Carneiro", + "aff": "University of Adelaide; PARC; Singapore University of Technology and Design; University of Liverpool", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Do_A_Theoretically_Sound_Upper_Bound_on_the_Triplet_Loss_for_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Theory of Fermat Paths for Non-Line-Of-Sight Shape Reconstruction", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xin_A_Theory_of_Fermat_Paths_for_Non-Line-Of-Sight_Shape_Reconstruction_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Shumian Xin; Sotiris Nousias; Kiriakos N. Kutulakos; Aswin C. Sankaranarayanan; Srinivasa G. Narasimhan; Ioannis Gkioulekas", + "aff": "Carnegie Mellon University; University of Toronto", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xin_A_Theory_of_Fermat_Paths_for_Non-Line-Of-Sight_Shape_Reconstruction_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Variational Auto-Encoder Model for Stochastic Point Processes", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Mehrasa_A_Variational_Auto-Encoder_Model_for_Stochastic_Point_Processes_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Nazanin Mehrasa; Akash Abdu Jyothi; Thibaut Durand; Jiawei He; Leonid Sigal; Greg Mori", + "aff": "University of British Columbia, Borealis AI; Simon Fraser University, Borealis AI", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Mehrasa_A_Variational_Auto-Encoder_Model_for_Stochastic_Point_Processes_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Variational EM Framework With Adaptive Edge Selection for Blind Motion Deblurring", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yang_A_Variational_EM_Framework_With_Adaptive_Edge_Selection_for_Blind_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Liuge Yang; Hui Ji", + "aff": "Department of Mathematics, National University of Singapore, Singapore, 119076", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yang_A_Variational_EM_Framework_With_Adaptive_Edge_Selection_for_Blind_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A Variational Pan-Sharpening With Local Gradient Constraints", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Fu_A_Variational_Pan-Sharpening_With_Local_Gradient_Constraints_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xueyang Fu; Zihuang Lin; Yue Huang; Xinghao Ding", + "aff": "School of Information Science and Technology, University of Science and Technology of China, China; Fujian Key Laboratory of Sensing and Computing for Smart City, Xiamen University, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Fu_A_Variational_Pan-Sharpening_With_Local_Gradient_Constraints_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "A-CNN: Annularly Convolutional Neural Networks on Point Clouds", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Komarichev_A-CNN_Annularly_Convolutional_Neural_Networks_on_Point_Clouds_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Artem Komarichev; Zichun Zhong; Jing Hua", + "aff": "Department of Computer Science, Wayne State University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Komarichev_A-CNN_Annularly_Convolutional_Neural_Networks_on_Point_Clouds_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "AANet: Attribute Attention Network for Person Re-Identifications", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tay_AANet_Attribute_Attention_Network_for_Person_Re-Identifications_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chiat-Pin Tay; Sharmili Roy; Kim-Hui Yap", + "aff": "Rapid-Rich Object Search Lab, Nanyang Technological University, Singapore; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore; Rapid-Rich Object Search Lab, Nanyang Technological University, Singapore", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tay_AANet_Attribute_Attention_Network_for_Person_Re-Identifications_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "ABC: A Big CAD Model Dataset for Geometric Deep Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://deep-geometry.github.io/abc-dataset", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Koch_ABC_A_Big_CAD_Model_Dataset_for_Geometric_Deep_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Sebastian Koch; Albert Matveev; Zhongshi Jiang; Francis Williams; Alexey Artemov; Evgeny Burnaev; Marc Alexa; Denis Zorin; Daniele Panozzo", + "aff": "New York University; Skoltech; Skoltech, IITP; TU Berlin", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Koch_ABC_A_Big_CAD_Model_Dataset_for_Geometric_Deep_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "ADCrowdNet: An Attention-Injective Deformable Convolutional Network for Crowd Understanding", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_ADCrowdNet_An_Attention-Injective_Deformable_Convolutional_Network_for_Crowd_Understanding_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ning Liu; Yongchao Long; Changqing Zou; Qun Niu; Li Pan; Hefeng Wu", + "aff": "School of Data and Computer Science, Sun Yat-sen University; Guangdong University of Foreign Studies; WINNER Technology; School of Data and Computer Science, Sun Yat-sen University; Guangdong Key Laboratory of Information Security Technology; University of Maryland; Shanghai Jiao Tong University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_ADCrowdNet_An_Attention-Injective_Deformable_Convolutional_Network_for_Crowd_Understanding_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/valeoai/ADVENT", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Vu_ADVENT_Adversarial_Entropy_Minimization_for_Domain_Adaptation_in_Semantic_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Tuan-Hung Vu; Himalaya Jain; Maxime Bucher; Matthieu Cord; Patrick P\u00c3\u00a9rez", + "aff": "valeo.ai, Paris, France", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Vu_ADVENT_Adversarial_Entropy_Minimization_for_Domain_Adaptation_in_Semantic_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "AE2-Nets: Autoencoder in Autoencoder Networks", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_AE2-Nets_Autoencoder_in_Autoencoder_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Changqing Zhang; Yeqing Liu; Huazhu Fu", + "aff": "College of Intelligence and Computing, Tianjin University, Tianjin, China; Inception Institute of Arti\ufb01cial Intelligence, Abu Dhabi, UAE", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_AE2-Nets_Autoencoder_in_Autoencoder_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations Rather Than Data", + "status": "Oral", + "site": "", + "track": "main", + "project": "http://maple-lab.net/projects/AET.htm", + "github": "https://github.com/maple-research-lab/AET", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_AET_vs._AED_Unsupervised_Representation_Learning_by_Auto-Encoding_Transformations_Rather_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Liheng Zhang; Guo-Jun Qi; Liqiang Wang; Jiebo Luo", + "aff": "University of Rochester; Laboratory for MAchine Perception and LEarning (MAPLE), Huawei Cloud; University of Central Florida; Laboratory for MAchine Perception and LEarning (MAPLE)", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_AET_vs._AED_Unsupervised_Representation_Learning_by_Auto-Encoding_Transformations_Rather_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "AIRD: Adversarial Learning Framework for Image Repurposing Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Jaiswal_AIRD_Adversarial_Learning_Framework_for_Image_Repurposing_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ayush Jaiswal; Yue Wu; Wael AbdAlmageed; Iacopo Masi; Premkumar Natarajan", + "aff": "USC Information Sciences Institute, Marina del Rey, CA, USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Jaiswal_AIRD_Adversarial_Learning_Framework_for_Image_Repurposing_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "AOGNets: Compositional Grammatical Architectures for Deep Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/iVMCL/AOGNets", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_AOGNets_Compositional_Grammatical_Architectures_for_Deep_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xilai Li; Xi Song; Tianfu Wu", + "aff": "Department of ECE\u2020 and the Visual Narrative Initiative\u2021, North Carolina State University; Independent Researcher", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_AOGNets_Compositional_Grammatical_Architectures_for_Deep_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "APDrawingGAN: Generating Artistic Portrait Drawings From Face Photos With Hierarchical GANs", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yi_APDrawingGAN_Generating_Artistic_Portrait_Drawings_From_Face_Photos_With_Hierarchical_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ran Yi; Yong-Jin Liu; Yu-Kun Lai; Paul L. Rosin", + "aff": "School of Computer Science and Informatics, Cardiff University, UK; CS Dept, BNRist, Tsinghua University, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yi_APDrawingGAN_Generating_Artistic_Portrait_Drawings_From_Face_Photos_With_Hierarchical_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "ATOM: Accurate Tracking by Overlap Maximization", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/visionml/pytracking", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Danelljan_ATOM_Accurate_Tracking_by_Overlap_Maximization_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Martin Danelljan; Goutam Bhat; Fahad Shahbaz Khan; Michael Felsberg", + "aff": "CVL, Link\u00f6ping University, Sweden and CVL, ETH Z\u00fcrich, Switzerland; CVL, Link\u00f6ping University, Sweden; CVL, Link\u00f6ping University, Sweden and Inception Institute of Arti\ufb01cial Intelligence, UAE", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Danelljan_ATOM_Accurate_Tracking_by_Overlap_Maximization_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Jain_Accel_A_Corrective_Fusion_Network_for_Efficient_Semantic_Segmentation_on_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Samvit Jain; Xin Wang; Joseph E. Gonzalez", + "aff": "University of California, Berkeley", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Jain_Accel_A_Corrective_Fusion_Network_for_Efficient_Semantic_Segmentation_on_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Accelerating Convolutional Neural Networks via Activation Map Compression", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Georgiadis_Accelerating_Convolutional_Neural_Networks_via_Activation_Map_Compression_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Georgios Georgiadis", + "aff": "Samsung Semiconductor, Inc.", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Georgiadis_Accelerating_Convolutional_Neural_Networks_via_Activation_Map_Compression_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Acoustic Non-Line-Of-Sight Imaging", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lindell_Acoustic_Non-Line-Of-Sight_Imaging_CVPR_2019_paper.pdf", + "youtube": "", + "author": "David B. Lindell; Gordon Wetzstein; Vladlen Koltun", + "aff": "Intel Labs; Stanford University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lindell_Acoustic_Non-Line-Of-Sight_Imaging_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Action Recognition From Single Timestamp Supervision in Untrimmed Videos", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Moltisanti_Action_Recognition_From_Single_Timestamp_Supervision_in_Untrimmed_Videos_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Davide Moltisanti; Sanja Fidler; Dima Damen", + "aff": "Visual Information Lab, University of Bristol; University of Toronto, NVIDIA Vector Institute", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Moltisanti_Action_Recognition_From_Single_Timestamp_Supervision_in_Untrimmed_Videos_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Action4D: Online Action Recognition in the Crowd and Clutter", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/You_Action4D_Online_Action_Recognition_in_the_Crowd_and_Clutter_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Quanzeng You; Hao Jiang", + "aff": "Microsoft Cloud & AI, One Microsoft Way, Redmond, WA 98052", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/You_Action4D_Online_Action_Recognition_in_the_Crowd_and_Clutter_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Actional-Structural_Graph_Convolutional_Networks_for_Skeleton-Based_Action_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Maosen Li; Siheng Chen; Xu Chen; Ya Zhang; Yanfeng Wang; Qi Tian", + "aff": "Huawei Noah\u2019s Ark Lab; Carnegie Mellon University; Cooperative Medianet Innovation Center, Shanghai Jiao Tong University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Actional-Structural_Graph_Convolutional_Networks_for_Skeleton-Based_Action_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Actively Seeking and Learning From Live Data", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Teney_Actively_Seeking_and_Learning_From_Live_Data_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Damien Teney; Anton van den Hengel", + "aff": "Australian Institute for Machine Learning, The University of Adelaide, Adelaide, Australia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Teney_Actively_Seeking_and_Learning_From_Live_Data_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Activity Driven Weakly Supervised Object Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yang_Activity_Driven_Weakly_Supervised_Object_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhenheng Yang; Dhruv Mahajan; Deepti Ghadiyaram; Ram Nevatia; Vignesh Ramanathan", + "aff": "University of Southern California; Facebook AI", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yang_Activity_Driven_Weakly_Supervised_Object_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Actor-Critic Instance Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Araslanov_Actor-Critic_Instance_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Nikita Araslanov; Constantin A. Rothkopf; Stefan Roth", + "aff": "Centre for Cognitive Science, TU Darmstadt; Dept. of Computer Science, TU Darmstadt; Institute of Psychology, TU Darmstadt", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Araslanov_Actor-Critic_Instance_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_AdaCos_Adaptively_Scaling_Cosine_Logits_for_Effectively_Learning_Deep_Face_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiao Zhang; Rui Zhao; Yu Qiao; Xiaogang Wang; Hongsheng Li", + "aff": "SIAT-SenseTime Joint Lab, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences; CUHK-SenseTime Joint Laboratory, The Chinese University of Hong Kong; SenseTime Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_AdaCos_Adaptively_Scaling_Cosine_Logits_for_Effectively_Learning_Deep_Face_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "AdaFrame: Adaptive Frame Selection for Fast Video Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wu_AdaFrame_Adaptive_Frame_Selection_for_Fast_Video_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zuxuan Wu; Caiming Xiong; Chih-Yao Ma; Richard Socher; Larry S. Davis", + "aff": "Salesforce Research; Georgia Institute of Technology; University of Maryland", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wu_AdaFrame_Adaptive_Frame_Selection_for_Fast_Video_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "AdaGraph: Unifying Predictive and Continuous Domain Adaptation Through Graphs", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Mancini_AdaGraph_Unifying_Predictive_and_Continuous_Domain_Adaptation_Through_Graphs_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Massimiliano Mancini; Samuel Rota Bul\u00c3\u00b2; Barbara Caputo; Elisa Ricci", + "aff": "Mapillary Research; University of Trento, Fondazione Bruno Kessler; Sapienza University of Rome, Fondazione Bruno Kessler; Politecnico di Torino, Italian Institute of Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Mancini_AdaGraph_Unifying_Predictive_and_Continuous_Domain_Adaptation_Through_Graphs_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Adapting Object Detectors via Selective Cross-Domain Alignment", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhu_Adapting_Object_Detectors_via_Selective_Cross-Domain_Alignment_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xinge Zhu; Jiangmiao Pang; Ceyuan Yang; Jianping Shi; Dahua Lin", + "aff": "The Chinese University of Hong Kong; SenseTime Research; Zhejiang University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhu_Adapting_Object_Detectors_via_Selective_Cross-Domain_Alignment_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Adaptive Confidence Smoothing for Generalized Zero-Shot Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Atzmon_Adaptive_Confidence_Smoothing_for_Generalized_Zero-Shot_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yuval Atzmon; Gal Chechik", + "aff": "Bar-Ilan University, NVIDIA Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Atzmon_Adaptive_Confidence_Smoothing_for_Generalized_Zero-Shot_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Adaptive NMS: Refining Pedestrian Detection in a Crowd", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Adaptive_NMS_Refining_Pedestrian_Detection_in_a_Crowd_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Songtao Liu; Di Huang; Yunhong Wang", + "aff": "Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University; State Key Laboratory of Software Development Environment, Beihang University; School of Computer Science and Engineering, Beihang University, Beijing 100191, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Adaptive_NMS_Refining_Pedestrian_Detection_in_a_Crowd_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Adaptive Pyramid Context Network for Semantic Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/He_Adaptive_Pyramid_Context_Network_for_Semantic_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Junjun He; Zhongying Deng; Lei Zhou; Yali Wang; Yu Qiao", + "aff": "Shenzhen Key Lab of Computer Vision and Pattern Recognition, SIAT-SenseTime Joint Lab, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China and Shanghai Jiao Tong University; Shenzhen Key Lab of Computer Vision and Pattern Recognition, SIAT-SenseTime Joint Lab, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China; Shenzhen Key Lab of Computer Vision and Pattern Recognition, SIAT-SenseTime Joint Lab, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China and The Chinese University of Hong Kong", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/He_Adaptive_Pyramid_Context_Network_for_Semantic_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Adaptive Transfer Network for Cross-Domain Person Re-Identification", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Adaptive_Transfer_Network_for_Cross-Domain_Person_Re-Identification_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jiawei Liu; Zheng-Jun Zha; Di Chen; Richang Hong; Meng Wang", + "aff": "University of Science and Technology of China, China; HeFei University of Technology, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Adaptive_Transfer_Network_for_Cross-Domain_Person_Re-Identification_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Adaptive Weighting Multi-Field-Of-View CNN for Semantic Segmentation in Pathology", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tokunaga_Adaptive_Weighting_Multi-Field-Of-View_CNN_for_Semantic_Segmentation_in_Pathology_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hiroki Tokunaga; Yuki Teramoto; Akihiko Yoshizawa; Ryoma Bise", + "aff": "Kyushu University, Fukuoka, Japan; Research Center for Medical Bigdata, National Institute of Informatics, Tokyo, Japan; Kyoto University Hospital, Kyoto, Japan; Kyushu University, Fukuoka, Japan", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tokunaga_Adaptive_Weighting_Multi-Field-Of-View_CNN_for_Semantic_Segmentation_in_Pathology_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "AdaptiveFace: Adaptive Margin and Sampling for Face Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/haoliu1994/AdaptiveFace", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_AdaptiveFace_Adaptive_Margin_and_Sampling_for_Face_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hao Liu; Xiangyu Zhu; Zhen Lei; Stan Z. Li", + "aff": "CBSR & NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China and University of Chinese Academy of Sciences, Beijing, China.; CBSR & NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; Faculty of Information Technology, Macau University of Science and Technology, Macau SAR, China.", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_AdaptiveFace_Adaptive_Margin_and_Sampling_for_Face_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Adaptively Connected Neural Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/wanggrun/Adaptively-Connected-Neural-Networks", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Adaptively_Connected_Neural_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Guangrun Wang; Keze Wang; Liang Lin", + "aff": "Sun Yat-sen University, Guangzhou; University of California, Los Angeles, Los Angeles", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Adaptively_Connected_Neural_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Additive Adversarial Learning for Unbiased Authentication", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liang_Additive_Adversarial_Learning_for_Unbiased_Authentication_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jian Liang; Yuren Cao; Chenbin Zhang; Shiyu Chang; Kun Bai; Zenglin Xu", + "aff": "MIT-IBM Watson AI Lab, IBM Research, USA; Cloud and Smart Industries Group, Tencent, China; University of Electronic Science and Technology of China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liang_Additive_Adversarial_Learning_for_Unbiased_Authentication_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Adversarial Attacks Beyond the Image Space", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zeng_Adversarial_Attacks_Beyond_the_Image_Space_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiaohui Zeng; Chenxi Liu; Yu-Siang Wang; Weichao Qiu; Lingxi Xie; Yu-Wing Tai; Chi-Keung Tang; Alan L. Yuille", + "aff": "Tencent YouTu; The Johns Hopkins University; National Taiwan University; University of Toronto; Hong Kong University of Science and Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zeng_Adversarial_Attacks_Beyond_the_Image_Space_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Adversarial Defense Through Network Profiling Based Path Extraction", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Qiu_Adversarial_Defense_Through_Network_Profiling_Based_Path_Extraction_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yuxian Qiu; Jingwen Leng; Cong Guo; Quan Chen; Chao Li; Minyi Guo; Yuhao Zhu", + "aff": "Department of Computer Science, University of Rochester; Department of Computer Science and Engineering, Shanghai Jiao Tong University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Qiu_Adversarial_Defense_Through_Network_Profiling_Based_Path_Extraction_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Adversarial Defense by Stratified Convolutional Sparse Coding", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Sun_Adversarial_Defense_by_Stratified_Convolutional_Sparse_Coding_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Bo Sun; Nian-Hsuan Tsai; Fangchen Liu; Ronald Yu; Hao Su", + "aff": "Peking University; UC San Diego; National Tsinghua University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Sun_Adversarial_Defense_by_Stratified_Convolutional_Sparse_Coding_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Adversarial Inference for Multi-Sentence Video Description", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/jamespark3922/adv-inf", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Park_Adversarial_Inference_for_Multi-Sentence_Video_Description_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jae Sung Park; Marcus Rohrbach; Trevor Darrell; Anna Rohrbach", + "aff": "Facebook AI Research; University of California, Berkeley", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Park_Adversarial_Inference_for_Multi-Sentence_Video_Description_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Adversarial Semantic Alignment for Improved Image Captions", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Dognin_Adversarial_Semantic_Alignment_for_Improved_Image_Captions_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Pierre Dognin; Igor Melnyk; Youssef Mroueh; Jerret Ross; Tom Sercu", + "aff": "IBM Research, Yorktown Heights, NY", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Dognin_Adversarial_Semantic_Alignment_for_Improved_Image_Captions_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Adversarial Structure Matching for Structured Prediction Tasks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hwang_Adversarial_Structure_Matching_for_Structured_Prediction_Tasks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jyh-Jing Hwang; Tsung-Wei Ke; Jianbo Shi; Stella X. Yu", + "aff": "University of Pennsylvania; UC Berkeley / ICSI", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hwang_Adversarial_Structure_Matching_for_Structured_Prediction_Tasks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Aggregation Cross-Entropy for Sequence Recognition", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/summerlvsong/Aggregation-Cross-Entropy", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xie_Aggregation_Cross-Entropy_for_Sequence_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zecheng Xie; Yaoxiong Huang; Yuanzhi Zhu; Lianwen Jin; Yuliang Liu; Lele Xie", + "aff": "South China University of Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xie_Aggregation_Cross-Entropy_for_Sequence_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chang_All_About_Structure_Adapting_Structural_Information_Across_Domains_for_Boosting_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wei-Lun Chang; Hui-Po Wang; Wen-Hsiao Peng; Wei-Chen Chiu", + "aff": "National Chiao Tung University, Taiwan", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chang_All_About_Structure_Adapting_Structural_Information_Across_Domains_for_Boosting_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_All_You_Need_Is_a_Few_Shifts_Designing_Efficient_Convolutional_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Weijie Chen; Di Xie; Yuan Zhang; Shiliang Pu", + "aff": "Hikvision Research Institute, Hangzhou, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_All_You_Need_Is_a_Few_Shifts_Designing_Efficient_Convolutional_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "All-Weather Deep Outdoor Lighting Estimation", + "status": "Poster", + "site": "", + "track": "main", + "project": "http://www.jflalonde.ca/projects/allweather", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_All-Weather_Deep_Outdoor_Lighting_Estimation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jinsong Zhang; Kalyan Sunkavalli; Yannick Hold-Geoffroy; Sunil Hadap; Jonathan Eisenman; Jean-Fran\u00c3\u00a7ois Lalonde", + "aff": "Adobe Research\u2020; Universit\u00e8 Laval*", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_All-Weather_Deep_Outdoor_Lighting_Estimation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Amodal Instance Segmentation With KINS Dataset", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Qi_Amodal_Instance_Segmentation_With_KINS_Dataset_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Lu Qi; Li Jiang; Shu Liu; Xiaoyong Shen; Jiaya Jia", + "aff": "The Chinese University of Hong Kong, YouTu Lab, Tencent; YouTu Lab, Tencent", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Qi_Amodal_Instance_Segmentation_With_KINS_Dataset_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "An Alternative Deep Feature Approach to Line Level Keyword Spotting", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Retsinas_An_Alternative_Deep_Feature_Approach_to_Line_Level_Keyword_Spotting_CVPR_2019_paper.pdf", + "youtube": "", + "author": "George Retsinas; Georgios Louloudis; Nikolaos Stamatopoulos; Giorgos Sfikas; Basilis Gatos", + "aff": "Institute of Informatics and Telecommunications, NCSR 'Demokritos', Greece; Institute of Informatics and Telecommunications, NCSR 'Demokritos', Greece; Department of Computer Science and Engineering, University of Ioannina, Greece; Institute of Informatics and Telecommunications, NCSR 'Demokritos', Greece; School of Electrical and Computer Engineering, National Technical University of Athens, Greece", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Retsinas_An_Alternative_Deep_Feature_Approach_to_Line_Level_Keyword_Spotting_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Si_An_Attention_Enhanced_Graph_Convolutional_LSTM_Network_for_Skeleton-Based_Action_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chenyang Si; Wentao Chen; Wei Wang; Liang Wang; Tieniu Tan", + "aff": "Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA); University of Science and Technology of China (USTC); Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA); University of Chinese Academy of Sciences (UCAS); Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA)", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Si_An_Attention_Enhanced_Graph_Convolutional_LSTM_Network_for_Skeleton-Based_Action_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "An Efficient Schmidt-EKF for 3D Visual-Inertial SLAM", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Geneva_An_Efficient_Schmidt-EKF_for_3D_Visual-Inertial_SLAM_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Patrick Geneva; James Maley; Guoquan Huang", + "aff": "University of Delaware", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Geneva_An_Efficient_Schmidt-EKF_for_3D_Visual-Inertial_SLAM_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "An End-To-End Network for Generating Social Relationship Graphs", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Goel_An_End-To-End_Network_for_Generating_Social_Relationship_Graphs_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Arushi Goel; Keng Teck Ma; Cheston Tan", + "aff": "Institute for Infocomm Research, A*STAR, Singapore; A*STAR Arti\ufb01cial Intelligence Initiative, Singapore; Institute for Infocomm Research, A*STAR, Singapore; A*STAR Arti\ufb01cial Intelligence Initiative, Singapore", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Goel_An_End-To-End_Network_for_Generating_Social_Relationship_Graphs_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "An End-To-End Network for Panoptic Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_An_End-To-End_Network_for_Panoptic_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Huanyu Liu; Chao Peng; Changqian Yu; Jingbo Wang; Xu Liu; Gang Yu; Wei Jiang", + "aff": "Huazhong University of Science and Technology; Zhejiang University; Peking University; The University of Tokyo; Megvii Inc. (Face++)", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_An_End-To-End_Network_for_Panoptic_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "An Iterative and Cooperative Top-Down and Bottom-Up Inference Network for Salient Object Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_An_Iterative_and_Cooperative_Top-Down_and_Bottom-Up_Inference_Network_for_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wenguan Wang; Jianbing Shen; Ming-Ming Cheng; Ling Shao", + "aff": "Inception Institute of Arti\ufb01cial Intelligence, UAE; CS, Nankai University, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_An_Iterative_and_Cooperative_Top-Down_and_Bottom-Up_Inference_Network_for_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Analysis of Feature Visibility in Non-Line-Of-Sight Measurements", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Analysis_of_Feature_Visibility_in_Non-Line-Of-Sight_Measurements_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiaochun Liu; Sebastian Bauer; Andreas Velten", + "aff": "University of Wisconsin \u2013 Madison", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Analysis_of_Feature_Visibility_in_Non-Line-Of-Sight_Measurements_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Animating Arbitrary Objects via Deep Motion Transfer", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/AliaksandrSiarohin/monkey-net", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Siarohin_Animating_Arbitrary_Objects_via_Deep_Motion_Transfer_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Aliaksandr Siarohin; St\u00c3\u00a9phane Lathuili\u00c3\u00a8re; Sergey Tulyakov; Elisa Ricci; Nicu Sebe", + "aff": "DISI, University of Trento, Italy; Fondazione Bruno Kessler (FBK), Trento, Italy; Snap Inc., Santa Monica, CA; Huawei Technologies Ireland, Dublin, Ireland", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Siarohin_Animating_Arbitrary_Objects_via_Deep_Motion_Transfer_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Answer Them All! Toward Universal Visual Question Answering Models", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Shrestha_Answer_Them_All_Toward_Universal_Visual_Question_Answering_Models_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Robik Shrestha; Kushal Kafle; Christopher Kanan", + "aff": "Rochester Institute of Technology, PAIGE, Cornell Tech; Rochester Institute of Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Shrestha_Answer_Them_All_Toward_Universal_Visual_Question_Answering_Models_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Song_ApolloCar3D_A_Large_3D_Car_Instance_Understanding_Benchmark_for_Autonomous_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xibin Song; Peng Wang; Dingfu Zhou; Rui Zhu; Chenye Guan; Yuchao Dai; Hao Su; Hongdong Li; Ruigang Yang", + "aff": "University of California, San Diego; Baidu Research, National Engineering Laboratory of Deep Learning Technology and Application, China; Australian National University, Australia, Australian Centre for Robotic Vision, Australia; Northwestern Polytechnical University, Xi\u2019an, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Song_ApolloCar3D_A_Large_3D_Car_Instance_Understanding_Benchmark_for_Autonomous_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Arbitrary Shape Scene Text Detection With Adaptive Text Region Representation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Arbitrary_Shape_Scene_Text_Detection_With_Adaptive_Text_Region_Representation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiaobing Wang; Yingying Jiang; Zhenbo Luo; Cheng-Lin Liu; Hyunsoo Choi; Sungjin Kim", + "aff": "Samsung Research, Seoul 06765, Korea; National Laboratory of Pattern Recognition, Institute of Automation of Chinese Academy of Sciences, Beijing 100190, China; Samsung Research China - Beijing, Beijing 100028, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Arbitrary_Shape_Scene_Text_Detection_With_Adaptive_Text_Region_Representation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Arbitrary Style Transfer With Style-Attentional Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Park_Arbitrary_Style_Transfer_With_Style-Attentional_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Dae Young Park; Kwang Hee Lee", + "aff": "Artificial Intelligence Research Institute, Korea; Boeing Korea Engineering and Technology Center", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Park_Arbitrary_Style_Transfer_With_Style-Attentional_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "ArcFace: Additive Angular Margin Loss for Deep Face Recognition", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/deepinsight/insightface", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Deng_ArcFace_Additive_Angular_Margin_Loss_for_Deep_Face_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jiankang Deng; Jia Guo; Niannan Xue; Stefanos Zafeiriou", + "aff": "2InsightFace; 1Imperial College London; 1Imperial College London, 3FaceSoft; 1Imperial College London, 2InsightFace, 3FaceSoft", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Deng_ArcFace_Additive_Angular_Margin_Loss_for_Deep_Face_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Argoverse: 3D Tracking and Forecasting With Rich Maps", + "status": "Oral", + "site": "", + "track": "main", + "project": "Argoverse.org", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chang_Argoverse_3D_Tracking_and_Forecasting_With_Rich_Maps_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ming-Fang Chang; John Lambert; Patsorn Sangkloy; Jagjeet Singh; Slawomir Bak; Andrew Hartnett; De Wang; Peter Carr; Simon Lucey; Deva Ramanan; James Hays", + "aff": "Argo AI, Carnegie Mellon University; Carnegie Mellon University, Argo AI; Argo AI, Georgia Institute of Technology; Argo AI", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chang_Argoverse_3D_Tracking_and_Forecasting_With_Rich_Maps_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-To-Image Translation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/aimagelab/art2real", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tomei_Art2Real_Unfolding_the_Reality_of_Artworks_via_Semantically-Aware_Image-To-Image_Translation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Matteo Tomei; Marcella Cornia; Lorenzo Baraldi; Rita Cucchiara", + "aff": "University of Modena and Reggio Emilia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tomei_Art2Real_Unfolding_the_Reality_of_Artworks_via_Semantically-Aware_Image-To-Image_Translation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Assessing Personally Perceived Image Quality via Image Features and Collaborative Filtering", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Korhonen_Assessing_Personally_Perceived_Image_Quality_via_Image_Features_and_Collaborative_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jari Korhonen", + "aff": "School of Computer Science and Software Engineering, Shenzhen University, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Korhonen_Assessing_Personally_Perceived_Image_Quality_via_Image_Features_and_Collaborative_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Assessment of Faster R-CNN in Man-Machine Collaborative Search", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Deza_Assessment_of_Faster_R-CNN_in_Man-Machine_Collaborative_Search_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Arturo Deza; Amit Surana; Miguel P. Eckstein", + "aff": "Dynamical Neuroscience, UC Santa Barbara; United Technologies Corporation, United Technologies Research Center; Psychological and Brain Sciences, UC Santa Barbara", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Deza_Assessment_of_Faster_R-CNN_in_Man-Machine_Collaborative_Search_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Derakhshani_Assisted_Excitation_of_Activations_A_Learning_Technique_to_Improve_Object_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Mohammad Mahdi Derakhshani; Saeed Masoudnia; Amir Hossein Shaker; Omid Mersa; Mohammad Amin Sadeghi; Mohammad Rastegari; Babak N. Araabi", + "aff": "MLCM Lab, Department of Electrical and Computer Engineering, University of Tehran, Tehran, Iran.; Allen Institute for Arti\ufb01cial Intelligence (AI2)", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Derakhshani_Assisted_Excitation_of_Activations_A_Learning_Technique_to_Improve_Object_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Associatively Segmenting Instances and Semantics in Point Clouds", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/WXinlong/ASIS", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Associatively_Segmenting_Instances_and_Semantics_in_Point_Clouds_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xinlong Wang; Shu Liu; Xiaoyong Shen; Chunhua Shen; Jiaya Jia", + "aff": "The Chinese University of Hong Kong; Youtu Lab, Tencent; University of Adelaide, Australia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Associatively_Segmenting_Instances_and_Semantics_in_Point_Clouds_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Atlas of Digital Pathology: A Generalized Hierarchical Histological Tissue Type-Annotated Database for Deep Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hosseini_Atlas_of_Digital_Pathology_A_Generalized_Hierarchical_Histological_Tissue_Type-Annotated_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Mahdi S. Hosseini; Lyndon Chan; Gabriel Tse; Michael Tang; Jun Deng; Sajad Norouzi; Corwyn Rowsell; Konstantinos N. Plataniotis; Savvas Damaskinos", + "aff": "Huron Digital Pathology, St. Jacobs, ON, N0B 2N0, Canada; The Edward S. Rogers Sr. Department of Electrical & Computer Engineering, University of Toronto; Division of Pathology, St. Michaels Hospital, Toronto, ON, M4N 1X3, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hosseini_Atlas_of_Digital_Pathology_A_Generalized_Hierarchical_Histological_Tissue_Type-Annotated_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Attending to Discriminative Certainty for Domain Adaptation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kurmi_Attending_to_Discriminative_Certainty_for_Domain_Adaptation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Vinod Kumar Kurmi; Shanu Kumar; Vinay P. Namboodiri", + "aff": "Indian Institute of Technology Kanpur, India", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kurmi_Attending_to_Discriminative_Certainty_for_Domain_Adaptation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Attention Based Glaucoma Detection: A Large-Scale Database and CNN Model", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Attention_Based_Glaucoma_Detection_A_Large-Scale_Database_and_CNN_Model_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Liu Li; Mai Xu; Xiaofei Wang; Lai Jiang; Hanruo Liu", + "aff": "Hangzhou Innovation InstituteBeihang University, Hangzhou, Zhejiang, China; Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Beijing, China; School of Electronic and Information Engineering, Beihang University, Beijing, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Attention_Based_Glaucoma_Detection_A_Large-Scale_Database_and_CNN_Model_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Attention Branch Network: Learning of Attention Mechanism for Visual Explanation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/machine-perception-robotics-group/attention_branch_network", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Fukui_Attention_Branch_Network_Learning_of_Attention_Mechanism_for_Visual_Explanation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hiroshi Fukui; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi", + "aff": "Chubu University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Fukui_Attention_Branch_Network_Learning_of_Attention_Mechanism_for_Visual_Explanation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Attention-Aware Multi-Stroke Style Transfer", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yao_Attention-Aware_Multi-Stroke_Style_Transfer_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yuan Yao; Jianqiang Ren; Xuansong Xie; Weidong Liu; Yong-Jin Liu; Jun Wang", + "aff": "Tsinghua University; Alibaba Group; University College London", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yao_Attention-Aware_Multi-Stroke_Style_Transfer_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Attention-Based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Suganuma_Attention-Based_Adaptive_Selection_of_Operations_for_Image_Restoration_in_the_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Masanori Suganuma; Xing Liu; Takayuki Okatani", + "aff": "Graduate School of Information Sciences, Tohoku University; RIKEN Center for AIP; Graduate School of Information Sciences, Tohoku University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Suganuma_Attention-Based_Adaptive_Selection_of_Operations_for_Image_Restoration_in_the_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Attention-Based Dropout Layer for Weakly Supervised Object Localization", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Choe_Attention-Based_Dropout_Layer_for_Weakly_Supervised_Object_Localization_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Junsuk Choe; Hyunjung Shim", + "aff": "School of Integrated Technology, Yonsei University, South Korea", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Choe_Attention-Based_Dropout_Layer_for_Weakly_Supervised_Object_Localization_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Attention-Guided Network for Ghost-Free High Dynamic Range Imaging", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://donggong1.github.io/ahdr", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yan_Attention-Guided_Network_for_Ghost-Free_High_Dynamic_Range_Imaging_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Qingsen Yan; Dong Gong; Qinfeng Shi; Anton van den Hengel; Chunhua Shen; Ian Reid; Yanning Zhang", + "aff": "The University of Adelaide, Australia; School of Computer Science and Engineering, Northwestern Polytechnical University, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yan_Attention-Guided_Network_for_Ghost-Free_High_Dynamic_Range_Imaging_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Attention-Guided Unified Network for Panoptic Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Attention-Guided_Unified_Network_for_Panoptic_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yanwei Li; Xinze Chen; Zheng Zhu; Lingxi Xie; Guan Huang; Dalong Du; Xingang Wang", + "aff": "Institute of Automation, CAS; University of Chinese Academy of Sciences; Johns Hopkins University; Noah\u2019s Ark Lab, Huawei Inc.; Institute of Automation, CAS; Horizon Robotics, Inc.", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Attention-Guided_Unified_Network_for_Panoptic_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Attentive Feedback Network for Boundary-Aware Salient Object Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Feng_Attentive_Feedback_Network_for_Boundary-Aware_Salient_Object_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Mengyang Feng; Huchuan Lu; Errui Ding", + "aff": "Dalian University of Technology, China; Department of Computer Vision Technology (VIS), Baidu Inc.", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Feng_Attentive_Feedback_Network_for_Boundary-Aware_Salient_Object_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Attentive Region Embedding Network for Zero-Shot Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xie_Attentive_Region_Embedding_Network_for_Zero-Shot_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Guo-Sen Xie; Li Liu; Xiaobo Jin; Fan Zhu; Zheng Zhang; Jie Qin; Yazhou Yao; Ling Shao", + "aff": "Inception Institute of Arti\ufb01cial Intelligence, UAE; Xi\u2019an Jiaotong-Liverpool University, China; University of Queensland, Australia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xie_Attentive_Region_Embedding_Network_for_Zero-Shot_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Attentive Relational Networks for Mapping Images to Scene Graphs", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Qi_Attentive_Relational_Networks_for_Mapping_Images_to_Scene_Graphs_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Mengshi Qi; Weijian Li; Zhengyuan Yang; Yunhong Wang; Jiebo Luo", + "aff": "State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, China; Department of Computer Science, University of Rochester, USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Qi_Attentive_Relational_Networks_for_Mapping_Images_to_Scene_Graphs_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Attentive Single-Tasking of Multiple Tasks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/facebookresearch/astmt", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Maninis_Attentive_Single-Tasking_of_Multiple_Tasks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kevis-Kokitsi Maninis; Ilija Radosavovic; Iasonas Kokkinos", + "aff": "Ariel AI, UCL; Computer Vision Lab, ETH Z\u00fcrich; Facebook AI Research (FAIR)", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Maninis_Attentive_Single-Tasking_of_Multiple_Tasks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Attribute-Aware Face Aging With Wavelet-Based Generative Adversarial Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Attribute-Aware_Face_Aging_With_Wavelet-Based_Generative_Adversarial_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yunfan Liu; Qi Li; Zhenan Sun", + "aff": "Center for Excellence in Brain Science and Intelligence Technology, CAS; National Laboratory of Pattern Recognition, CASIA; Center for Research on Intelligent Perception and Computing, CASIA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Attribute-Aware_Face_Aging_With_Wavelet-Based_Generative_Adversarial_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhao_Attribute-Driven_Feature_Disentangling_and_Temporal_Aggregation_for_Video_Person_Re-Identification_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yiru Zhao; Xu Shen; Zhongming Jin; Hongtao Lu; Xian-sheng Hua", + "aff": "Alibaba Damo Academy, Alibaba Group; Key Lab of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering, Department of Computer Science and Engineering, MoE Key Lab of Arti\ufb01cial Intelligence, AI Institute, Shanghai Jiao Tong University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhao_Attribute-Driven_Feature_Disentangling_and_Temporal_Aggregation_for_Video_Person_Re-Identification_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Audio Visual Scene-Aware Dialog", + "status": "Poster", + "site": "", + "track": "main", + "project": "video-dialog.com", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Alamri_Audio_Visual_Scene-Aware_Dialog_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Huda Alamri; Vincent Cartillier; Abhishek Das; Jue Wang; Anoop Cherian; Irfan Essa; Dhruv Batra; Tim K. Marks; Chiori Hori; Peter Anderson; Stefan Lee; Devi Parikh", + "aff": "Georgia Institute of Technology; Mitsubishi Electric Research Laboratories (MERL)", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Alamri_Audio_Visual_Scene-Aware_Dialog_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/tensorflow/models/tree/master/research/deeplab", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Auto-DeepLab_Hierarchical_Neural_Architecture_Search_for_Semantic_Image_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chenxi Liu; Liang-Chieh Chen; Florian Schroff; Hartwig Adam; Wei Hua; Alan L. Yuille; Li Fei-Fei", + "aff": "Stanford University; Johns Hopkins University; Google", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Auto-DeepLab_Hierarchical_Neural_Architecture_Search_for_Semantic_Image_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Auto-Encoding Scene Graphs for Image Captioning", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/yangxuntu/SGAE", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yang_Auto-Encoding_Scene_Graphs_for_Image_Captioning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xu Yang; Kaihua Tang; Hanwang Zhang; Jianfei Cai", + "aff": "School of Computer Science and Engineering, Nanyang Technological University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yang_Auto-Encoding_Scene_Graphs_for_Image_Captioning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "AutoAugment: Learning Augmentation Strategies From Data", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Cubuk_AutoAugment_Learning_Augmentation_Strategies_From_Data_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ekin D. Cubuk; Barret Zoph; Dandelion Man\u00c3\u00a9; Vijay Vasudevan; Quoc V. Le", + "aff": "Google Brain", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Cubuk_AutoAugment_Learning_Augmentation_Strategies_From_Data_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Automatic Adaptation of Object Detectors to New Domains Using Self-Training", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/RoyChowdhury_Automatic_Adaptation_of_Object_Detectors_to_New_Domains_Using_Self-Training_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Aruni RoyChowdhury; Prithvijit Chakrabarty; Ashish Singh; SouYoung Jin; Huaizu Jiang; Liangliang Cao; Erik Learned-Miller", + "aff": "College of Information and Computer Sciences, University of Massachusetts Amherst", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/RoyChowdhury_Automatic_Adaptation_of_Object_Detectors_to_New_Domains_Using_Self-Training_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Automatic Face Aging in Videos via Deep Reinforcement Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Duong_Automatic_Face_Aging_in_Videos_via_Deep_Reinforcement_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chi Nhan Duong; Khoa Luu; Kha Gia Quach; Nghia Nguyen; Eric Patterson; Tien D. Bui; Ngan Le", + "aff": "Computer Science and Computer Engineering, University of Arkansas, USA; Electrical and Computer Engineering, Carnegie Mellon University, USA; Computer Science and Software Engineering, Concordia University, Canada; School of Computing, Clemson University, USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Duong_Automatic_Face_Aging_in_Videos_via_Deep_Reinforcement_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "BAD SLAM: Bundle Adjusted Direct RGB-D SLAM", + "status": "Oral", + "site": "", + "track": "main", + "project": "www.eth3d.net", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Schops_BAD_SLAM_Bundle_Adjusted_Direct_RGB-D_SLAM_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Thomas Sch\u00c3\u00b6ps; Torsten Sattler; Marc Pollefeys", + "aff": "Microsoft; Chalmers University of Technology; Department of Computer Science, ETH Zurich", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Schops_BAD_SLAM_Bundle_Adjusted_Direct_RGB-D_SLAM_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "BASNet: Boundary-Aware Salient Object Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/NathanUA/BASNet", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Qin_BASNet_Boundary-Aware_Salient_Object_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xuebin Qin; Zichen Zhang; Chenyang Huang; Chao Gao; Masood Dehghan; Martin Jagersand", + "aff": "University of Alberta, Canada", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Qin_BASNet_Boundary-Aware_Salient_Object_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Bag of Tricks for Image Classification with Convolutional Neural Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/He_Bag_of_Tricks_for_Image_Classification_with_Convolutional_Neural_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Tong He; Zhi Zhang; Hang Zhang; Zhongyue Zhang; Junyuan Xie; Mu Li", + "aff": "Amazon Web Services", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/He_Bag_of_Tricks_for_Image_Classification_with_Convolutional_Neural_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Balanced Self-Paced Learning for Generative Adversarial Clustering Network", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ghasedi_Balanced_Self-Paced_Learning_for_Generative_Adversarial_Clustering_Network_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kamran Ghasedi; Xiaoqian Wang; Cheng Deng; Heng Huang", + "aff": "School of Electronic Engineering, Xidian University, Xi\u2019an, Shaanxi, China; Electrical and Computer Engineering Department, University of Pittsburgh, PA, USA; JD Digits; Electrical and Computer Engineering Department, University of Pittsburgh, PA, USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ghasedi_Balanced_Self-Paced_Learning_for_Generative_Adversarial_Clustering_Network_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Barrage of Random Transforms for Adversarially Robust Defense", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Raff_Barrage_of_Random_Transforms_for_Adversarially_Robust_Defense_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Edward Raff; Jared Sylvester; Steven Forsyth; Mark McLean", + "aff": "Laboratory for Physical Sciences, Booz Allen Hamilton, u.m.b.c.; nvidia; Laboratory for Physical Sciences; Laboratory for Physical Sciences, u.m.b.c.", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Raff_Barrage_of_Random_Transforms_for_Adversarially_Robust_Defense_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Bayesian Hierarchical Dynamic Model for Human Action Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhao_Bayesian_Hierarchical_Dynamic_Model_for_Human_Action_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Rui Zhao; Wanru Xu; Hui Su; Qiang Ji", + "aff": "RPI; IBM Research; Beijing Jiaotong University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhao_Bayesian_Hierarchical_Dynamic_Model_for_Human_Action_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "BeautyGlow: On-Demand Makeup Transfer Framework With Reversible Generative Network", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_BeautyGlow_On-Demand_Makeup_Transfer_Framework_With_Reversible_Generative_Network_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hung-Jen Chen; Ka-Ming Hui; Szu-Yu Wang; Li-Wu Tsao; Hong-Han Shuai; Wen-Huang Cheng", + "aff": "National Chiao Tung University, Taiwan", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_BeautyGlow_On-Demand_Makeup_Transfer_Framework_With_Reversible_Generative_Network_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Beyond Gradient Descent for Regularized Segmentation Losses", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/dmitrii-marin/adm-seg", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Marin_Beyond_Gradient_Descent_for_Regularized_Segmentation_Losses_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Dmitrii Marin; Meng Tang; Ismail Ben Ayed; Yuri Boykov", + "aff": "University of Waterloo, Canada; ETS Montreal, Canada", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Marin_Beyond_Gradient_Descent_for_Regularized_Segmentation_Losses_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xue_Beyond_Tracking_Selecting_Memory_and_Refining_Poses_for_Deep_Visual_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Fei Xue; Xin Wang; Shunkai Li; Qiuyuan Wang; Junqiu Wang; Hongbin Zha", + "aff": "Beijing Changcheng Aviation Measurement and Control Institute, A VIC; Key Laboratory of Machine Perception (MOE), School of EECS, Peking University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xue_Beyond_Tracking_Selecting_Memory_and_Refining_Poses_for_Deep_Visual_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Beyond Volumetric Albedo \u00e2\u0080\u0094 A Surface Optimization Framework for Non-Line-Of-Sight Imaging", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tsai_Beyond_Volumetric_Albedo_--_A_Surface_Optimization_Framework_for_Non-Line-Of-Sight_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chia-Yin Tsai; Aswin C. Sankaranarayanan; Ioannis Gkioulekas", + "aff": "Carnegie Mellon University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tsai_Beyond_Volumetric_Albedo_--_A_Surface_Optimization_Framework_for_Non-Line-Of-Sight_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Bi-Directional Cascade Network for Perceptual Edge Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/He_Bi-Directional_Cascade_Network_for_Perceptual_Edge_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jianzhong He; Shiliang Zhang; Ming Yang; Yanhu Shan; Tiejun Huang", + "aff": "Peking University; Peking University, Peng Cheng Laboratory; Horizon Robotics, Inc", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/He_Bi-Directional_Cascade_Network_for_Perceptual_Edge_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Bidirectional Learning for Domain Adaptation of Semantic Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/liyunsheng13/BDL", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Bidirectional_Learning_for_Domain_Adaptation_of_Semantic_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yunsheng Li; Lu Yuan; Nuno Vasconcelos", + "aff": "Microsoft; UC San Diego", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Bidirectional_Learning_for_Domain_Adaptation_of_Semantic_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wong_Bilateral_Cyclic_Constraint_and_Adaptive_Regularization_for_Unsupervised_Monocular_Depth_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Alex Wong; Stefano Soatto", + "aff": "UCLA Vision Lab, University of California, Los Angeles, CA 90095", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wong_Bilateral_Cyclic_Constraint_and_Adaptive_Regularization_for_Unsupervised_Monocular_Depth_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhu_Binary_Ensemble_Neural_Network_More_Bits_per_Network_or_More_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Shilin Zhu; Xin Dong; Hao Su", + "aff": "Harvard University, Cambridge, MA 02138; UC San Diego, La Jolla, CA 92093", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhu_Binary_Ensemble_Neural_Network_More_Bits_per_Network_or_More_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Biologically-Constrained Graphs for Global Connectomics Reconstruction", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Matejek_Biologically-Constrained_Graphs_for_Global_Connectomics_Reconstruction_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Brian Matejek; Daniel Haehn; Haidong Zhu; Donglai Wei; Toufiq Parag; Hanspeter Pfister", + "aff": "Comcast Research; Tsinghua University; Harvard University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Matejek_Biologically-Constrained_Graphs_for_Global_Connectomics_Reconstruction_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Blending-Target_Domain_Adaptation_by_Adversarial_Meta-Adaptation_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ziliang Chen; Jingyu Zhuang; Xiaodan Liang; Liang Lin", + "aff": "Sun Yat-sen University; Sun Yat-sen University, DarkMatter AI Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Blending-Target_Domain_Adaptation_by_Adversarial_Meta-Adaptation_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Blind Geometric Distortion Correction on Images Through Deep Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Blind_Geometric_Distortion_Correction_on_Images_Through_Deep_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiaoyu Li; Bo Zhang; Pedro V. Sander; Jing Liao", + "aff": "City University of Hong Kong; The Hong Kong University of Science and Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Blind_Geometric_Distortion_Correction_on_Images_Through_Deep_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Blind Image Deblurring With Local Maximum Gradient Prior", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Blind_Image_Deblurring_With_Local_Maximum_Gradient_Prior_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Liang Chen; Faming Fang; Tingting Wang; Guixu Zhang", + "aff": "Shanghai Key Laboratory of Multidimensional Information Processing, and Department of Computer Science and Technology, East China Normal University, Shanghai, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Blind_Image_Deblurring_With_Local_Maximum_Gradient_Prior_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Blind Super-Resolution With Iterative Kernel Correction", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Gu_Blind_Super-Resolution_With_Iterative_Kernel_Correction_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jinjin Gu; Hannan Lu; Wangmeng Zuo; Chao Dong", + "aff": "ShenZhen Key Lab of Computer Vision and Pattern Recognition, SIAT-SenseTime Joint Lab, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences; School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China; The School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Gu_Blind_Super-Resolution_With_Iterative_Kernel_Correction_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Blind Visual Motif Removal From a Single Image", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hertz_Blind_Visual_Motif_Removal_From_a_Single_Image_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Amir Hertz; Sharon Fogel; Rana Hanocka; Raja Giryes; Daniel Cohen-Or", + "aff": "Tel Aviv University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hertz_Blind_Visual_Motif_Removal_From_a_Single_Image_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Boosting Local Shape Matching for Dense 3D Face Correspondence", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Fan_Boosting_Local_Shape_Matching_for_Dense_3D_Face_Correspondence_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhenfeng Fan; Xiyuan Hu; Chen Chen; Silong Peng", + "aff": "Institute of Automation, Chinese Academy of Sciences; Beijing Visytem Co. Ltd.; Institute of Automation, Chinese Academy of Sciences", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Fan_Boosting_Local_Shape_Matching_for_Dense_3D_Face_Correspondence_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Bottom-Up Object Detection by Grouping Extreme and Center Points", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhou_Bottom-Up_Object_Detection_by_Grouping_Extreme_and_Center_Points_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xingyi Zhou; Jiacheng Zhuo; Philipp Kr\u00c3\u00a4henb\u00c3\u00bchl", + "aff": "UT Austin", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhou_Bottom-Up_Object_Detection_by_Grouping_Extreme_and_Center_Points_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Bounding Box Regression With Uncertainty for Accurate Object Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "github.com/yihui-he/KL-Loss", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/He_Bounding_Box_Regression_With_Uncertainty_for_Accurate_Object_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yihui He; Chenchen Zhu; Jianren Wang; Marios Savvides; Xiangyu Zhang", + "aff": "Carnegie Mellon University; Megvii Inc. (Face++)", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/He_Bounding_Box_Regression_With_Uncertainty_for_Accurate_Object_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Box-Driven Class-Wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Song_Box-Driven_Class-Wise_Region_Masking_and_Filling_Rate_Guided_Loss_for_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chunfeng Song; Yan Huang; Wanli Ouyang; Liang Wang", + "aff": "Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA); University of Chinese Academy of Sciences (UCAS); Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA); University of Chinese Academy of Sciences (UCAS); Center for Excellence in Brain Science and Intelligence Technology (CEBSIT); Chinese Academy of Sciences - Arti\ufb01cial Intelligence Research (CAS-AIR); The University of Sydney, SenseTime Computer Vision Research Group, Australia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Song_Box-Driven_Class-Wise_Region_Masking_and_Filling_Rate_Guided_Loss_for_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_BridgeNet_A_Continuity-Aware_Probabilistic_Network_for_Age_Estimation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wanhua Li; Jiwen Lu; Jianjiang Feng; Chunjing Xu; Jie Zhou; Qi Tian", + "aff": "Department of Automation, Tsinghua University, China; State Key Lab of Intelligent Technologies and Systems, China; Beijing National Research Center for Information Science and Technology, China; Noah\u2019s Ark Lab, Huawei; Department of Automation, Tsinghua University, China; State Key Lab of Intelligent Technologies and Systems, China; Beijing National Research Center for Information Science and Technology, China; Noah\u2019s Ark Lab, Huawei", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_BridgeNet_A_Continuity-Aware_Probabilistic_Network_for_Age_Estimation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lai_Bridging_Stereo_Matching_and_Optical_Flow_via_Spatiotemporal_Correspondence_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hsueh-Ying Lai; Yi-Hsuan Tsai; Wei-Chen Chiu", + "aff": "National Chiao Tung University, Taiwan; NEC Laboratories America", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lai_Bridging_Stereo_Matching_and_Optical_Flow_via_Spatiotemporal_Correspondence_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Bringing Alive Blurred Moments", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Purohit_Bringing_Alive_Blurred_Moments_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kuldeep Purohit; Anshul Shah; A. N. Rajagopalan", + "aff": "University of Maryland, College Park; Indian Institute of Technology Madras, India", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Purohit_Bringing_Alive_Blurred_Moments_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Bringing a Blurry Frame Alive at High Frame-Rate With an Event Camera", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Pan_Bringing_a_Blurry_Frame_Alive_at_High_Frame-Rate_With_an_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Liyuan Pan; Cedric Scheerlinck; Xin Yu; Richard Hartley; Miaomiao Liu; Yuchao Dai", + "aff": "School of Electronics and Information, Northwestern Polytechnical University, Xi\u2019an, China; Australian National University, Australian Centre for Robotic Vision", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Pan_Bringing_a_Blurry_Frame_Alive_at_High_Frame-Rate_With_an_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Griffin_BubbleNets_Learning_to_Select_the_Guidance_Frame_in_Video_Object_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Brent A. Griffin; Jason J. Corso", + "aff": "University of Michigan", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Griffin_BubbleNets_Learning_to_Select_the_Guidance_Frame_in_Video_Object_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Building Detail-Sensitive Semantic Segmentation Networks With Polynomial Pooling", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wei_Building_Detail-Sensitive_Semantic_Segmentation_Networks_With_Polynomial_Pooling_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhen Wei; Jingyi Zhang; Li Liu; Fan Zhu; Fumin Shen; Yi Zhou; Si Liu; Yao Sun; Ling Shao", + "aff": "", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wei_Building_Detail-Sensitive_Semantic_Segmentation_Networks_With_Polynomial_Pooling_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Building Efficient Deep Neural Networks With Unitary Group Convolutions", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhao_Building_Efficient_Deep_Neural_Networks_With_Unitary_Group_Convolutions_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ritchie Zhao; Yuwei Hu; Jordan Dotzel; Christopher De Sa; Zhiru Zhang", + "aff": "Cornell University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhao_Building_Efficient_Deep_Neural_Networks_With_Unitary_Group_Convolutions_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "github.com/Winfrand/C-MIL", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wan_C-MIL_Continuation_Multiple_Instance_Learning_for_Weakly_Supervised_Object_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Fang Wan; Chang Liu; Wei Ke; Xiangyang Ji; Jianbin Jiao; Qixiang Ye", + "aff": "University of Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; Peng Cheng Laboratory, Shenzhen, China; Tsinghua University, Beijing, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wan_C-MIL_Continuation_Multiple_Instance_Learning_for_Weakly_Supervised_Object_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "C2AE: Class Conditioned Auto-Encoder for Open-Set Recognition", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/otkupjnoz/c2ae", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Oza_C2AE_Class_Conditioned_Auto-Encoder_for_Open-Set_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Poojan Oza; Vishal M. Patel", + "aff": "Department of Electrical and Computer Engineering, Johns Hopkins University, 3400 N. Charles St, Baltimore, MD 21218, USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Oza_C2AE_Class_Conditioned_Auto-Encoder_for_Open-Set_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "C3AE: Exploring the Limits of Compact Model for Age Estimation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_C3AE_Exploring_the_Limits_of_Compact_Model_for_Age_Estimation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chao Zhang; Shuaicheng Liu; Xun Xu; Ce Zhu", + "aff": "National University of Singapore; University of Electronic Science and Technology of China, Megvii Technology; University of Electronic Science and Technology of China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_C3AE_Exploring_the_Limits_of_Compact_Model_for_Age_Estimation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "webdiis.unizar.es/~jmfacil/camconvs", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Facil_CAM-Convs_Camera-Aware_Multi-Scale_Convolutions_for_Single-View_Depth_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jose M. Facil; Benjamin Ummenhofer; Huizhong Zhou; Luis Montesano; Thomas Brox; Javier Civera", + "aff": "University of Zaragoza; University of Freiburg, Intel Labs; University of Zaragoza, Bitbrain; University of Freiburg", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Facil_CAM-Convs_Camera-Aware_Multi-Scale_Convolutions_for_Single-View_Depth_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_CANet_Class-Agnostic_Segmentation_Networks_With_Iterative_Refinement_and_Attentive_Few-Shot_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chi Zhang; Guosheng Lin; Fayao Liu; Rui Yao; Chunhua Shen", + "aff": "The University of Adelaide, Australia; China University of Mining and Technology, China; Nanyang Technological University, Singapore", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_CANet_Class-Agnostic_Segmentation_Networks_With_Iterative_Refinement_and_Attentive_Few-Shot_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "CLEVR-Ref+: Diagnosing Visual Reasoning With Referring Expressions", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://cs.jhu.edu/~cxliu/2019/clevr-ref+", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_CLEVR-Ref_Diagnosing_Visual_Reasoning_With_Referring_Expressions_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Runtao Liu; Chenxi Liu; Yutong Bai; Alan L. Yuille", + "aff": "Peking University; Northwestern Polytechnical University; Johns Hopkins University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_CLEVR-Ref_Diagnosing_Visual_Reasoning_With_Referring_Expressions_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "COIN: A Large-Scale Dataset for Comprehensive Instructional Video Analysis", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://coin-dataset.github.io/", + "github": "https://github.com/coin-dataset", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tang_COIN_A_Large-Scale_Dataset_for_Comprehensive_Instructional_Video_Analysis_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yansong Tang; Dajun Ding; Yongming Rao; Yu Zheng; Danyang Zhang; Lili Zhao; Jiwen Lu; Jie Zhou", + "aff": "Meitu Inc.; Department of Automation, Tsinghua University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tang_COIN_A_Large-Scale_Dataset_for_Comprehensive_Instructional_Video_Analysis_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "CRAVES: Controlling Robotic Arm With a Vision-Based Economic System", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zuo_CRAVES_Controlling_Robotic_Arm_With_a_Vision-Based_Economic_System_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yiming Zuo; Weichao Qiu; Lingxi Xie; Fangwei Zhong; Yizhou Wang; Alan L. Yuille", + "aff": "Johns Hopkins University, Noah\u2019s Ark Lab, Huawei Inc.; Johns Hopkins University; Tsinghua University; Peking University; Peking University, Peng Cheng Laboratory, DeepWise AI Lab", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zuo_CRAVES_Controlling_Robotic_Arm_With_a_Vision-Based_Economic_System_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Camera Lens Super-Resolution", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Camera_Lens_Super-Resolution_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chang Chen; Zhiwei Xiong; Xinmei Tian; Zheng-Jun Zha; Feng Wu", + "aff": "University of Science and Technology of China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Camera_Lens_Super-Resolution_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_CapSal_Leveraging_Captioning_to_Boost_Semantics_for_Salient_Object_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Lu Zhang; Jianming Zhang; Zhe Lin; Huchuan Lu; You He", + "aff": "Adobe Research, USA; Dalian University of Technology, China; Naval Aviation University, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_CapSal_Leveraging_Captioning_to_Boost_Semantics_for_Salient_Object_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Capture, Learning, and Synthesis of 3D Speaking Styles", + "status": "Poster", + "site": "", + "track": "main", + "project": "http://voca.is.tue.mpg.de", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Cudeiro_Capture_Learning_and_Synthesis_of_3D_Speaking_Styles_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Daniel Cudeiro; Timo Bolkart; Cassidy Laidlaw; Anurag Ranjan; Michael J. Black", + "aff": "Max Planck Institute for Intelligent Systems, T\u00fcbingen, Germany", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Cudeiro_Capture_Learning_and_Synthesis_of_3D_Speaking_Styles_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Cascaded_Generative_and_Discriminative_Learning_for_Microcalcification_Detection_in_Breast_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Fandong Zhang; Ling Luo; Xinwei Sun; Zhen Zhou; Xiuli Li; Yizhou Yu; Yizhou Wang", + "aff": "Deepwise AI Lab; Center for Data Science, Peking University; Computer Science Department, School of EECS, Peking University; School of Cyberspace Security, Beijing University of Posts and Telecommunications", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Cascaded_Generative_and_Discriminative_Learning_for_Microcalcification_Detection_in_Breast_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Cascaded Partial Decoder for Fast and Accurate Salient Object Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wu_Cascaded_Partial_Decoder_for_Fast_and_Accurate_Salient_Object_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhe Wu; Li Su; Qingming Huang", + "aff": "School of Computer Science and Technology, University of Chinese Academy of Sciences (UCAS), Beijing, China; Key Lab of Big Data Mining and Knowledge Management, UCAS, Beijing, China; Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wu_Cascaded_Partial_Decoder_for_Fast_and_Accurate_Salient_Object_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Cascaded Projection: End-To-End Network Compression and Acceleration", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Minnehan_Cascaded_Projection_End-To-End_Network_Compression_and_Acceleration_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Breton Minnehan; Andreas Savakis", + "aff": "Rochester Institute of Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Minnehan_Cascaded_Projection_End-To-End_Network_Compression_and_Acceleration_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Catastrophic Child's Play: Easy to Perform, Hard to Defend Adversarial Attacks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ho_Catastrophic_Childs_Play_Easy_to_Perform_Hard_to_Defend_Adversarial_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chih-Hui Ho; Brandon Leung; Erik Sandstr\u00c3\u00b6m; Yen Chang; Nuno Vasconcelos", + "aff": "University of California, San Diego; Lund University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ho_Catastrophic_Childs_Play_Easy_to_Perform_Hard_to_Defend_Adversarial_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Causes and Corrections for Bimodal Multi-Path Scanning With Structured Light", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Causes_and_Corrections_for_Bimodal_Multi-Path_Scanning_With_Structured_Light_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yu Zhang; Daniel L. Lau; Ying Yu", + "aff": "Nanjing University; University of Kentucky", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Causes_and_Corrections_for_Bimodal_Multi-Path_Scanning_With_Structured_Light_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ding_Centripetal_SGD_for_Pruning_Very_Deep_Convolutional_Networks_With_Complicated_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiaohan Ding; Guiguang Ding; Yuchen Guo; Jungong Han", + "aff": "Tsinghua University; Lancaster University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ding_Centripetal_SGD_for_Pruning_Very_Deep_Convolutional_Networks_With_Complicated_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Dai_ChamNet_Towards_Efficient_Network_Design_Through_Platform-Aware_Model_Adaptation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiaoliang Dai; Peizhao Zhang; Bichen Wu; Hongxu Yin; Fei Sun; Yanghan Wang; Marat Dukhan; Yunqing Hu; Yiming Wu; Yangqing Jia; Peter Vajda; Matt Uyttendaele; Niraj K. Jha", + "aff": "Facebook Inc.; Princeton University; University of California, Berkeley", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Dai_ChamNet_Towards_Efficient_Network_Design_Through_Platform-Aware_Model_Adaptation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Character Region Awareness for Text Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Baek_Character_Region_Awareness_for_Text_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Youngmin Baek; Bado Lee; Dongyoon Han; Sangdoo Yun; Hwalsuk Lee", + "aff": "Clova AI Research, NAVER Corp.", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Baek_Character_Region_Awareness_for_Text_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Characterizing and Avoiding Negative Transfer", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Characterizing_and_Avoiding_Negative_Transfer_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zirui Wang; Zihang Dai; Barnab\u00c3\u00a1s P\u00c3\u00b3czos; Jaime Carbonell", + "aff": "Carnegie Mellon University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Characterizing_and_Avoiding_Negative_Transfer_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Circulant Binary Convolutional Networks: Enhancing the Performance of 1-Bit DCNNs With Circulant Back Propagation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Circulant_Binary_Convolutional_Networks_Enhancing_the_Performance_of_1-Bit_DCNNs_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chunlei Liu; Wenrui Ding; Xin Xia; Baochang Zhang; Jiaxin Gu; Jianzhuang Liu; Rongrong Ji; David Doermann", + "aff": "School of Information Science and Engineering, Xiamen University; Huawei Noah\u2019s Ark Lab; School of Automation Science and Electrical Engineering, Beihang University; University at Buffalo; Unmanned System Research Institute, Beihang University; School of Electronic and Information Engineering, Beihang University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Circulant_Binary_Convolutional_Networks_Enhancing_the_Performance_of_1-Bit_DCNNs_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tang_CityFlow_A_City-Scale_Benchmark_for_Multi-Target_Multi-Camera_Vehicle_Tracking_and_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zheng Tang; Milind Naphade; Ming-Yu Liu; Xiaodong Yang; Stan Birchfield; Shuo Wang; Ratnesh Kumar; David Anastasiu; Jenq-Neng Hwang", + "aff": "University of Washington; San Jose State University; NVIDIA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tang_CityFlow_A_City-Scale_Benchmark_for_Multi-Target_Multi-Camera_Vehicle_Tracking_and_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Class-Balanced Loss Based on Effective Number of Samples", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Cui_Class-Balanced_Loss_Based_on_Effective_Number_of_Samples_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yin Cui; Menglin Jia; Tsung-Yi Lin; Yang Song; Serge Belongie", + "aff": "Alphabet Inc.; Cornell University, Cornell Tech; Google Brain; Cornell University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Cui_Class-Balanced_Loss_Based_on_Effective_Number_of_Samples_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Classification-Reconstruction Learning for Open-Set Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yoshihashi_Classification-Reconstruction_Learning_for_Open-Set_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ryota Yoshihashi; Wen Shao; Rei Kawakami; Shaodi You; Makoto Iida; Takeshi Naemura", + "aff": "Data61-CSIRO; The University of Tokyo", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yoshihashi_Classification-Reconstruction_Learning_for_Open-Set_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud Analysis", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_ClusterNet_Deep_Hierarchical_Cluster_Network_With_Rigorously_Rotation-Invariant_Representation_for_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chao Chen; Guanbin Li; Ruijia Xu; Tianshui Chen; Meng Wang; Liang Lin", + "aff": "Hefei University of Technology; Sun Yat-sen University; Sun Yat-sen University, DarkMatter AI Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_ClusterNet_Deep_Hierarchical_Cluster_Network_With_Rigorously_Rotation-Invariant_Representation_for_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Co-Occurrence Neural Network", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Shevlev_Co-Occurrence_Neural_Network_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Irina Shevlev; Shai Avidan", + "aff": "School of Electrical Engineering, Tel-Aviv University, Tel-Aviv, Israel", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Shevlev_Co-Occurrence_Neural_Network_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Co-Occurrent Features in Semantic Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "http://hangzh.com/", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Co-Occurrent_Features_in_Semantic_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hang Zhang; Han Zhang; Chenguang Wang; Junyuan Xie", + "aff": "Google Brain; Amazon Web Services", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Co-Occurrent_Features_in_Semantic_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Co-Saliency Detection via Mask-Guided Fully Convolutional Networks With Multi-Scale Label Smoothing", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Co-Saliency_Detection_via_Mask-Guided_Fully_Convolutional_Networks_With_Multi-Scale_Label_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kaihua Zhang; Tengpeng Li; Bo Liu; Qingshan Liu", + "aff": "B-DAT and CICAEET, Nanjing University of Information Science and Technology, Nanjing, China; JD Digits, Mountain View, CA, USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Co-Saliency_Detection_via_Mask-Guided_Fully_Convolutional_Networks_With_Multi-Scale_Label_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "CollaGAN: Collaborative GAN for Missing Image Data Imputation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lee_CollaGAN_Collaborative_GAN_for_Missing_Image_Data_Imputation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Dongwook Lee; Junyoung Kim; Won-Jin Moon; Jong Chul Ye", + "aff": "Konkuk University Medical Center, Seoul, Korea; Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lee_CollaGAN_Collaborative_GAN_for_Missing_Image_Data_Imputation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/chenwydj/ultra_high_resolution_segmentation", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Collaborative_Global-Local_Networks_for_Memory-Efficient_Segmentation_of_Ultra-High_Resolution_Images_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wuyang Chen; Ziyu Jiang; Zhangyang Wang; Kexin Cui; Xiaoning Qian", + "aff": "Department of Computer Science and Engineering, Texas A&M University; Department of Electrical and Computer Engineering, Texas A&M University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Collaborative_Global-Local_Networks_for_Memory-Efficient_Segmentation_of_Ultra-High_Resolution_Images_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhou_Collaborative_Learning_of_Semi-Supervised_Segmentation_and_Classification_for_Medical_Images_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yi Zhou; Xiaodong He; Lei Huang; Li Liu; Fan Zhu; Shanshan Cui; Ling Shao", + "aff": "Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, UAE", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhou_Collaborative_Learning_of_Semi-Supervised_Segmentation_and_Classification_for_Medical_Images_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Collaborative Spatiotemporal Feature Learning for Video Action Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Collaborative_Spatiotemporal_Feature_Learning_for_Video_Action_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chao Li; Qiaoyong Zhong; Di Xie; Shiliang Pu", + "aff": "Hikvision Research Institute", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Collaborative_Spatiotemporal_Feature_Learning_for_Video_Action_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Coloring With Limited Data: Few-Shot Colorization via Memory Augmented Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yoo_Coloring_With_Limited_Data_Few-Shot_Colorization_via_Memory_Augmented_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Seungjoo Yoo; Hyojin Bahng; Sunghyo Chung; Junsoo Lee; Jaehyuk Chang; Jaegul Choo", + "aff": "NA VER WEBTOON Corp.; Korea University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yoo_Coloring_With_Limited_Data_Few-Shot_Colorization_via_Memory_Augmented_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Jia_ComDefend_An_Efficient_Image_Compression_Model_to_Defend_Adversarial_Examples_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiaojun Jia; Xingxing Wei; Xiaochun Cao; Hassan Foroosh", + "aff": "Department of Computer Science and Technology, Tsinghua University; Department of Electrical Engineering and Computer Science, University of Central Florida; Institute of Information Engineering, Chinese Academy of Sciences; Cyberspace Security Research Center, Peng Cheng Laboratory, Shenzhen 518055, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Jia_ComDefend_An_Efficient_Image_Compression_Model_to_Defend_Adversarial_Examples_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Combinatorial Persistency Criteria for Multicut and Max-Cut", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lange_Combinatorial_Persistency_Criteria_for_Multicut_and_Max-Cut_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jan-Hendrik Lange; Bjoern Andres; Paul Swoboda", + "aff": "Max Planck Institute for Informatics, Saarland University; Max Planck Institute for Informatics; Max Planck Institute for Informatics, Bosch Center for AI, University of T \u00a8ubingen", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lange_Combinatorial_Persistency_Criteria_for_Multicut_and_Max-Cut_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Combining 3D Morphable Models: A Large Scale Face-And-Head Model", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ploumpis_Combining_3D_Morphable_Models_A_Large_Scale_Face-And-Head_Model_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Stylianos Ploumpis; Haoyang Wang; Nick Pears; William A. P. Smith; Stefanos Zafeiriou", + "aff": "University of York, UK; Imperial College London, UK", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ploumpis_Combining_3D_Morphable_Models_A_Large_Scale_Face-And-Head_Model_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Compact Feature Learning for Multi-Domain Image Classification", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Compact_Feature_Learning_for_Multi-Domain_Image_Classification_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yajing Liu; Xinmei Tian; Ya Li; Zhiwei Xiong; Feng Wu", + "aff": "University of Science and Technology of China, Hefei, China; iFLYTEK Research, Hefei, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Compact_Feature_Learning_for_Multi-Domain_Image_Classification_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ranjan_Competitive_Collaboration_Joint_Unsupervised_Learning_of_Depth_Camera_Motion_Optical_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Anurag Ranjan; Varun Jampani; Lukas Balles; Kihwan Kim; Deqing Sun; Jonas Wulff; Michael J. Black", + "aff": "Max Planck Institute for Intelligent Systems; NVIDIA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ranjan_Competitive_Collaboration_Joint_Unsupervised_Learning_of_Depth_Camera_Motion_Optical_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Complete the Look: Scene-Based Complementary Product Recommendation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kang_Complete_the_Look_Scene-Based_Complementary_Product_Recommendation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wang-Cheng Kang; Eric Kim; Jure Leskovec; Charles Rosenberg; Julian McAuley", + "aff": "Stanford University; Pinterest; UC San Diego", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kang_Complete_the_Look_Scene-Based_Complementary_Product_Recommendation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Completeness_Modeling_and_Context_Separation_for_Weakly_Supervised_Temporal_Action_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Daochang Liu; Tingting Jiang; Yizhou Wang", + "aff": "NELVT, Cooperative Medianet Innovation Center, School of EECS, Peking University, Peng Cheng Lab, Deepwise AI Lab; NELVT, Cooperative Medianet Innovation Center, School of EECS, Peking University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Completeness_Modeling_and_Context_Separation_for_Weakly_Supervised_Temporal_Action_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Composing Text and Image for Image Retrieval - an Empirical Odyssey", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Vo_Composing_Text_and_Image_for_Image_Retrieval_-_an_Empirical_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Nam Vo; Lu Jiang; Chen Sun; Kevin Murphy; Li-Jia Li; Li Fei-Fei; James Hays", + "aff": "Google AI; Georgia Tech; Google AI, Stanford University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Vo_Composing_Text_and_Image_for_Image_Retrieval_-_an_Empirical_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Compressing Convolutional Neural Networks via Factorized Convolutional Filters", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Compressing_Convolutional_Neural_Networks_via_Factorized_Convolutional_Filters_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Tuanhui Li; Baoyuan Wu; Yujiu Yang; Yanbo Fan; Yong Zhang; Wei Liu", + "aff": "Tencent AI Lab; Graduate School at Shenzhen, Tsinghua University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Compressing_Convolutional_Neural_Networks_via_Factorized_Convolutional_Filters_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Compressing Unknown Images With Product Quantizer for Efficient Zero-Shot Classification", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Compressing_Unknown_Images_With_Product_Quantizer_for_Efficient_Zero-Shot_Classification_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jin Li; Xuguang Lan; Yang Liu; Le Wang; Nanning Zheng", + "aff": "Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, China; National Engineering Laboratory for Visual Information Processing and Applications, Xi'an Jiaotong University, China; State Key Laboratory of Integrated Services Networks, Xidian University, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Compressing_Unknown_Images_With_Product_Quantizer_for_Efficient_Zero-Shot_Classification_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Conditional Adversarial Generative Flow for Controllable Image Synthesis", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Conditional_Adversarial_Generative_Flow_for_Controllable_Image_Synthesis_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Rui Liu; Yu Liu; Xinyu Gong; Xiaogang Wang; Hongsheng Li", + "aff": "CUHK-SenseTime Joint Laboratory, Chinese University of Hong Kong; Texas A&M University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Conditional_Adversarial_Generative_Flow_for_Controllable_Image_Synthesis_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Conditional Single-View Shape Generation for Multi-View Stereo Reconstruction", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wei_Conditional_Single-View_Shape_Generation_for_Multi-View_Stereo_Reconstruction_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yi Wei; Shaohui Liu; Wang Zhao; Jiwen Lu", + "aff": "Department of Automation, Tsinghua University, Beijing, China; Department of Electronic Engineering, Tsinghua University, Beijing, China; Department of Automation, Tsinghua University, Beijing, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wei_Conditional_Single-View_Shape_Generation_for_Multi-View_Stereo_Reconstruction_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Connecting Touch and Vision via Cross-Modal Prediction", + "status": "Poster", + "site": "", + "track": "main", + "project": "Not provided", + "github": "Not provided", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Connecting_Touch_and_Vision_via_Cross-Modal_Prediction_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yunzhu Li; Jun-Yan Zhu; Russ Tedrake; Antonio Torralba", + "aff": "MIT CSAIL", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Connecting_Touch_and_Vision_via_Cross-Modal_Prediction_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Connecting the Dots: Learning Representations for Active Monocular Depth Estimation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Riegler_Connecting_the_Dots_Learning_Representations_for_Active_Monocular_Depth_Estimation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Gernot Riegler; Yiyi Liao; Simon Donn\u00c3\u00a9; Vladlen Koltun; Andreas Geiger", + "aff": "Intel Intelligent Systems Lab; Autonomous Vision Group, MPI-IS / University of T\u00fcbingen", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Riegler_Connecting_the_Dots_Learning_Representations_for_Active_Monocular_Depth_Estimation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Constrained Generative Adversarial Networks for Interactive Image Generation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Heim_Constrained_Generative_Adversarial_Networks_for_Interactive_Image_Generation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Eric Heim", + "aff": "Air Force Research Laboratory, Information Directorate, Rome, NY USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Heim_Constrained_Generative_Adversarial_Networks_for_Interactive_Image_Generation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging", + "status": "Oral", + "site": "", + "track": "main", + "project": "https://contactdb.cc.gatech.edu", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Brahmbhatt_ContactDB_Analyzing_and_Predicting_Grasp_Contact_via_Thermal_Imaging_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Samarth Brahmbhatt; Cusuh Ham; Charles C. Kemp; James Hays", + "aff": "Institute for Robotics and Intelligent Machines, Georgia Tech; Institute for Robotics and Intelligent Machines, Georgia Tech and Argo AI", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Brahmbhatt_ContactDB_Analyzing_and_Predicting_Grasp_Contact_via_Thermal_Imaging_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Content Authentication for Neural Imaging Pipelines: End-To-End Optimization of Photo Provenance in Complex Distribution Channels", + "status": "Oral", + "site": "", + "track": "main", + "project": "http://kt.agh.edu.pl/~korus", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Korus_Content_Authentication_for_Neural_Imaging_Pipelines_End-To-End_Optimization_of_Photo_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Pawel Korus; Nasir Memon", + "aff": "New York University1, AGH University of Science and Technology2", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Korus_Content_Authentication_for_Neural_Imaging_Pipelines_End-To-End_Optimization_of_Photo_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Content-Aware Multi-Level Guidance for Interactive Instance Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Majumder_Content-Aware_Multi-Level_Guidance_for_Interactive_Instance_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Soumajit Majumder; Angela Yao", + "aff": "Institute of Computer Science II, University of Bonn, Germany; School of Computing, National University of Singapore", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Majumder_Content-Aware_Multi-Level_Guidance_for_Interactive_Instance_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Context and Attribute Grounded Dense Captioning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yin_Context_and_Attribute_Grounded_Dense_Captioning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Guojun Yin; Lu Sheng; Bin Liu; Nenghai Yu; Xiaogang Wang; Jing Shao", + "aff": "CUHK-SenseTime Joint Lab, The Chinese University of Hong Kong; University of Science and Technology of China, Key Laboratory of Electromagnetic Space Information, The Chinese Academy of Sciences; CUHK-SenseTime Joint Lab, The Chinese University of Hong Kong, College of Software, Beihang University; SenseTime Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yin_Context_and_Attribute_Grounded_Dense_Captioning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Context-Aware Crowd Counting", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://sites.google.com/view/weizheliu/home/projects/context-aware-crowd-counting", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Context-Aware_Crowd_Counting_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Weizhe Liu; Mathieu Salzmann; Pascal Fua", + "aff": "Computer Vision Laboratory, Ecole Polytechnique Federale de Lausanne (EPFL)", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Context-Aware_Crowd_Counting_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Context-Aware Spatio-Recurrent Curvilinear Structure Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Context-Aware_Spatio-Recurrent_Curvilinear_Structure_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Feigege Wang; Yue Gu; Wenxi Liu; Yuanlong Yu; Shengfeng He; Jia Pan", + "aff": "Department of Computer Science, The University of Hong Kong; School of Computer Science and Engineering, South China University of Technology; College of Mathematics and Computer Science, Fuzhou University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Context-Aware_Spatio-Recurrent_Curvilinear_Structure_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Context-Aware Visual Compatibility Prediction", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Cucurull_Context-Aware_Visual_Compatibility_Prediction_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Guillem Cucurull; Perouz Taslakian; David Vazquez", + "aff": "Element AI", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Cucurull_Context-Aware_Visual_Compatibility_Prediction_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Context-Reinforced Semantic Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhou_Context-Reinforced_Semantic_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yizhou Zhou; Xiaoyan Sun; Zheng-Jun Zha; Wenjun Zeng", + "aff": "Microsoft Research Asia; University of Science and Technology of China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhou_Context-Reinforced_Semantic_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "ContextDesc: Local Descriptor Augmentation With Cross-Modality Context", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Luo_ContextDesc_Local_Descriptor_Augmentation_With_Cross-Modality_Context_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zixin Luo; Tianwei Shen; Lei Zhou; Jiahui Zhang; Yao Yao; Shiwei Li; Tian Fang; Long Quan", + "aff": "Tsinghua University; Hong Kong University of Science and Technology; Shenzhen Zhuke Innovation Technology (Altizure)", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Luo_ContextDesc_Local_Descriptor_Augmentation_With_Cross-Modality_Context_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://mmcheng.net/rgbdsalpyr/", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhao_Contrast_Prior_and_Fluid_Pyramid_Integration_for_RGBD_Salient_Object_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jia-Xing Zhao; Yang Cao; Deng-Ping Fan; Ming-Ming Cheng; Xuan-Yi Li; Le Zhang", + "aff": "A*STAR; TKLNDST, CS, Nankai University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhao_Contrast_Prior_and_Fluid_Pyramid_Integration_for_RGBD_Salient_Object_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Contrastive Adaptation Network for Unsupervised Domain Adaptation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kang_Contrastive_Adaptation_Network_for_Unsupervised_Domain_Adaptation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Guoliang Kang; Lu Jiang; Yi Yang; Alexander G. Hauptmann", + "aff": "Google AI; Carnegie Mellon University; CAI, University of Technology Sydney", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kang_Contrastive_Adaptation_Network_for_Unsupervised_Domain_Adaptation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Convolutional Mesh Regression for Single-Image Human Shape Reconstruction", + "status": "Oral", + "site": "", + "track": "main", + "project": "http://seas.upenn.edu/~nkolot/projects/cmr", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kolotouros_Convolutional_Mesh_Regression_for_Single-Image_Human_Shape_Reconstruction_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Nikos Kolotouros; Georgios Pavlakos; Kostas Daniilidis", + "aff": "University of Pennsylvania", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kolotouros_Convolutional_Mesh_Regression_for_Single-Image_Human_Shape_Reconstruction_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Convolutional Neural Networks Can Be Deceived by Visual Illusions", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Gomez-Villa_Convolutional_Neural_Networks_Can_Be_Deceived_by_Visual_Illusions_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Alexander Gomez-Villa; Adrian Mart\u00c3\u00adn; Javier Vazquez-Corral; Marcelo Bertalm\u00c3\u00ado", + "aff": "Department of Information and Communication Technologies (DTIC), Universitat Pompeu Fabra, Barcelona, Spain; CMP, University of East Anglia, Norwich, UK", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Gomez-Villa_Convolutional_Neural_Networks_Can_Be_Deceived_by_Visual_Illusions_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Convolutional Recurrent Network for Road Boundary Extraction", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liang_Convolutional_Recurrent_Network_for_Road_Boundary_Extraction_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Justin Liang; Namdar Homayounfar; Wei-Chiu Ma; Shenlong Wang; Raquel Urtasun", + "aff": "Uber Advanced Technologies Group, University of Toronto; Uber Advanced Technologies Group; Uber Advanced Technologies Group, MIT", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liang_Convolutional_Recurrent_Network_for_Road_Boundary_Extraction_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Convolutional Relational Machine for Group Activity Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Azar_Convolutional_Relational_Machine_for_Group_Activity_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Sina Mokhtarzadeh Azar; Mina Ghadimi Atigh; Ahmad Nickabadi; Alexandre Alahi", + "aff": "\u00b4Ecole Polytechnique F \u00b4ed\u00b4erale de Lausanne (EPFL), VITA lab; Amirkabir University of Technology (AUT), SML lab", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Azar_Convolutional_Relational_Machine_for_Group_Activity_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Coordinate-Based Texture Inpainting for Pose-Guided Human Image Generation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Grigorev_Coordinate-Based_Texture_Inpainting_for_Pose-Guided_Human_Image_Generation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Artur Grigorev; Artem Sevastopolsky; Alexander Vakhitov; Victor Lempitsky", + "aff": "Samsung AI Center, Moscow, Russia; Skolkovo Institute of Science and Technology (Skoltech), Moscow, Russia; Samsung AI Center, Moscow, Russia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Grigorev_Coordinate-Based_Texture_Inpainting_for_Pose-Guided_Human_Image_Generation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Coordinate-Free Carlsson-Weinshall Duality and Relative Multi-View Geometry", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Trager_Coordinate-Free_Carlsson-Weinshall_Duality_and_Relative_Multi-View_Geometry_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Matthew Trager; Martial Hebert; Jean Ponce", + "aff": "New York University; Carnegie Mellon University; INRIA, Paris, France; D\u00b4epartement dinformatique de lENS, ENS, CNRS, PSL University, Paris, France", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Trager_Coordinate-Free_Carlsson-Weinshall_Duality_and_Relative_Multi-View_Geometry_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "CrDoCo: Pixel-Level Domain Transfer With Cross-Domain Consistency", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_CrDoCo_Pixel-Level_Domain_Transfer_With_Cross-Domain_Consistency_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yun-Chun Chen; Yen-Yu Lin; Ming-Hsuan Yang; Jia-Bin Huang", + "aff": "3. UC Merced, 4. Google; 1. Academia Sinica; 5. Virginia Tech; 1. Academia Sinica, 2. National Taiwan University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_CrDoCo_Pixel-Level_Domain_Transfer_With_Cross-Domain_Consistency_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Creative Flow+ Dataset", + "status": "Poster", + "site": "", + "track": "main", + "project": "www.cs.toronto.edu/creativeflow/", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Shugrina_Creative_Flow_Dataset_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Maria Shugrina; Ziheng Liang; Amlan Kar; Jiaman Li; Angad Singh; Karan Singh; Sanja Fidler", + "aff": "1University of Toronto, 2Vector Institute, 3NVIDIA; 4University of British Columbia; 1University of Toronto, 2Vector Institute; 1University of Toronto; 5Evertz Microsystems", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Shugrina_Creative_Flow_Dataset_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Cross Domain Model Compression by Structurally Weight Sharing", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Gao_Cross_Domain_Model_Compression_by_Structurally_Weight_Sharing_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Shangqian Gao; Cheng Deng; Heng Huang", + "aff": "School of Electronic Engineering, Xidian University, Xi\u2019an, Shaanxi, China; Electrical and Computer Engineering Department, University of Pittsburgh, PA, USA; JD Digits; Electrical and Computer Engineering Department, University of Pittsburgh, PA, USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Gao_Cross_Domain_Model_Compression_by_Structurally_Weight_Sharing_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Cross-Atlas Convolution for Parameterization Invariant Learning on Textured Mesh Surface", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Cross-Atlas_Convolution_for_Parameterization_Invariant_Learning_on_Textured_Mesh_Surface_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Shiwei Li; Zixin Luo; Mingmin Zhen; Yao Yao; Tianwei Shen; Tian Fang; Long Quan", + "aff": "Shenzhen Zhuke Innovation Technology (Altizure); The Hong Kong University of Science and Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Cross-Atlas_Convolution_for_Parameterization_Invariant_Learning_on_Textured_Mesh_Surface_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Meirovitch_Cross-Classification_Clustering_An_Efficient_Multi-Object_Tracking_Technique_for_3-D_Instance_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yaron Meirovitch; Lu Mi; Hayk Saribekyan; Alexander Matveev; David Rolnick; Nir Shavit", + "aff": "MIT; MIT, Tel-Aviv University; MIT, Harvard University; Neural Magic Inc.", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Meirovitch_Cross-Classification_Clustering_An_Efficient_Multi-Object_Tracking_Technique_for_3-D_Instance_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Cross-Modal Relationship Inference for Grounding Referring Expressions", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yang_Cross-Modal_Relationship_Inference_for_Grounding_Referring_Expressions_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Sibei Yang; Guanbin Li; Yizhou Yu", + "aff": "Sun Yat-sen University; The University of Hong Kong; The University of Hong Kong and Deepwise AI Lab", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yang_Cross-Modal_Relationship_Inference_for_Grounding_Referring_Expressions_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Cross-Modal Self-Attention Network for Referring Image Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ye_Cross-Modal_Self-Attention_Network_for_Referring_Image_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Linwei Ye; Mrigank Rochan; Zhi Liu; Yang Wang", + "aff": "Shanghai University, China; University of Manitoba, Canada", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ye_Cross-Modal_Self-Attention_Network_for_Referring_Image_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Cross-Modality Personalization for Retrieval", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Murrugarra-Llerena_Cross-Modality_Personalization_for_Retrieval_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Nils Murrugarra-Llerena; Adriana Kovashka", + "aff": "Department of Computer Science, University of Pittsburgh", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Murrugarra-Llerena_Cross-Modality_Personalization_for_Retrieval_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Cross-Task Weakly Supervised Learning From Instructional Videos", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhukov_Cross-Task_Weakly_Supervised_Learning_From_Instructional_Videos_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Dimitri Zhukov; Jean-Baptiste Alayrac; Ramazan Gokberk Cinbis; David Fouhey; Ivan Laptev; Josef Sivic", + "aff": "Inria, France; Now at DeepMind; Inria, France; D\u00e9partement d\u2019informatique de l\u2019Ecole Normale Sup\u00e9rieure, PSL Research University, Paris, France; CIIRC \u2013 Czech Institute of Informatics, Robotics and Cybernetics at the Czech Technical University in Prague; Inria, France; D\u00e9partement d\u2019informatique de l\u2019Ecole Normale Sup\u00e9rieure, PSL Research University, Paris, France; University of Michigan, Ann Arbor, MI; Middle East Technical University, Ankara, Turkey", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhukov_Cross-Task_Weakly_Supervised_Learning_From_Instructional_Videos_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "CrossInfoNet: Multi-Task Information Sharing Based Hand Pose Estimation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/dumyy/handposeCNN", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Du_CrossInfoNet_Multi-Task_Information_Sharing_Based_Hand_Pose_Estimation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kuo Du; Xiangbo Lin; Yi Sun; Xiaohong Ma", + "aff": "Dalian University of Technology, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Du_CrossInfoNet_Multi-Task_Information_Sharing_Based_Hand_Pose_Estimation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Jiang_Crowd_Counting_and_Density_Estimation_by_Trellis_Encoder-Decoder_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiaolong Jiang; Zehao Xiao; Baochang Zhang; Xiantong Zhen; Xianbin Cao; David Doermann; Ling Shao", + "aff": "School of Automation Science and Electrical Engineering, Beihang University, Beijing, China; Department of Computer Science and Engineering, University at Buffalo, New York, USA; Inception Institute of Arti\ufb01cial Intelligence, UAE; School of Electronic and Information Engineering, Beihang University, Beijing, China; School of Electronic and Information Engineering, Beihang University, Beijing, China; Key Laboratory of Advanced technology of Near Space Information System (Beihang University), Ministry of Industry and Information Technology of China, Beijing, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Jiang_Crowd_Counting_and_Density_Estimation_by_Trellis_Encoder-Decoder_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "CrowdPose: Efficient Crowded Scenes Pose Estimation and a New Benchmark", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/Jeff-sjtu/CrowdPose", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_CrowdPose_Efficient_Crowded_Scenes_Pose_Estimation_and_a_New_Benchmark_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jiefeng Li; Can Wang; Hao Zhu; Yihuan Mao; Hao-Shu Fang; Cewu Lu", + "aff": "Tsinghua University; Shanghai Jiao Tong University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_CrowdPose_Efficient_Crowded_Scenes_Pose_Estimation_and_a_New_Benchmark_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Curls & Whey: Boosting Black-Box Adversarial Attacks", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Shi_Curls__Whey_Boosting_Black-Box_Adversarial_Attacks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yucheng Shi; Siyu Wang; Yahong Han", + "aff": "College of Intelligence and Computing, Tianjin University, Tianjin, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Shi_Curls__Whey_Boosting_Black-Box_Adversarial_Attacks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Customizable Architecture Search for Semantic Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Customizable_Architecture_Search_for_Semantic_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yiheng Zhang; Zhaofan Qiu; Jingen Liu; Ting Yao; Dong Liu; Tao Mei", + "aff": "JD AI Research, Mountain View, USA; University of Science and Technology of China, Hefei, China; JD AI Research, Beijing, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Customizable_Architecture_Search_for_Semantic_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Cycle-Consistency for Robust Visual Question Answering", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Shah_Cycle-Consistency_for_Robust_Visual_Question_Answering_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Meet Shah; Xinlei Chen; Marcus Rohrbach; Devi Parikh", + "aff": "Facebook AI Research; Facebook AI Research, Georgia Institute of Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Shah_Cycle-Consistency_for_Robust_Visual_Question_Answering_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Shen_Cyclic_Guidance_for_Weakly_Supervised_Joint_Detection_and_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yunhang Shen; Rongrong Ji; Yan Wang; Yongjian Wu; Liujuan Cao", + "aff": "BestImage, Tencent Technology (Shanghai) Co.,Ltd, China; Microsoft, Redmond, USA; Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, 361005, China; Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, 361005, China; Peng Cheng Laborotory, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Shen_Cyclic_Guidance_for_Weakly_Supervised_Joint_Detection_and_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "D2-Net: A Trainable CNN for Joint Description and Detection of Local Features", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Dusmanu_D2-Net_A_Trainable_CNN_for_Joint_Description_and_Detection_of_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Mihai Dusmanu; Ignacio Rocco; Tomas Pajdla; Marc Pollefeys; Josef Sivic; Akihiko Torii; Torsten Sattler", + "aff": "Chalmers University of Technology; Department of Computer Science, ETH Zurich; DI, ENS, Inria, Department of Computer Science, ETH Zurich; Tokyo Institute of Technology; DI, ENS, Inria; CIIRC, CTU in Prague; DI, ENS, Inria, CIIRC, CTU in Prague", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Dusmanu_D2-Net_A_Trainable_CNN_for_Joint_Description_and_Detection_of_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chang_D3TW_Discriminative_Differentiable_Dynamic_Time_Warping_for_Weakly_Supervised_Action_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chien-Yi Chang; De-An Huang; Yanan Sui; Li Fei-Fei; Juan Carlos Niebles", + "aff": "Stanford University, Stanford, CA 94305, USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chang_D3TW_Discriminative_Differentiable_Dynamic_Time_Warping_for_Weakly_Supervised_Action_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "DARNet: Deep Active Ray Network for Building Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Cheng_DARNet_Deep_Active_Ray_Network_for_Building_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Dominic Cheng; Renjie Liao; Sanja Fidler; Raquel Urtasun", + "aff": "University of Toronto, Vector Institute, NVIDIA; University of Toronto, Vector Institute, Uber ATG Toronto", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Cheng_DARNet_Deep_Active_Ray_Network_for_Building_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "DAVANet: Stereo Deblurring With View Aggregation", + "status": "Oral", + "site": "", + "track": "main", + "project": "https://shangchenzhou.com/projects/davanet", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhou_DAVANet_Stereo_Deblurring_With_View_Aggregation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Shangchen Zhou; Jiawei Zhang; Wangmeng Zuo; Haozhe Xie; Jinshan Pan; Jimmy S. Ren", + "aff": "Harbin Institute of Technology, Harbin, China; Nanjing University of Science and Technology, Nanjing, China; SenseTime Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhou_DAVANet_Stereo_Deblurring_With_View_Aggregation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Perrett_DDLSTM_Dual-Domain_LSTM_for_Cross-Dataset_Action_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Toby Perrett; Dima Damen", + "aff": "Department of Computer Science, University of Bristol, Bristol, UK", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Perrett_DDLSTM_Dual-Domain_LSTM_for_Cross-Dataset_Action_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_DFANet_Deep_Feature_Aggregation_for_Real-Time_Semantic_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hanchao Li; Pengfei Xiong; Haoqiang Fan; Jian Sun", + "aff": "Megvii Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_DFANet_Deep_Feature_Aggregation_for_Real-Time_Semantic_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "DLOW: Domain Flow for Adaptation and Generalization", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/ETHRuiGong/DLOW", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Gong_DLOW_Domain_Flow_for_Adaptation_and_Generalization_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Rui Gong; Wen Li; Yuhua Chen; Luc Van Gool", + "aff": "Computer Vision Laboratory, ETH Zurich and VISICS, ESAT/PSI, KU Leuven; Computer Vision Laboratory, ETH Zurich", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Gong_DLOW_Domain_Flow_for_Adaptation_and_Generalization_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-To-Image Synthesis", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhu_DM-GAN_Dynamic_Memory_Generative_Adversarial_Networks_for_Text-To-Image_Synthesis_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Minfeng Zhu; Pingbo Pan; Wei Chen; Yi Yang", + "aff": "Centre for Arti\ufb01cial Intelligence, University of Technology Sydney; Baidu Research, Centre for Arti\ufb01cial Intelligence, University of Technology Sydney; State Key Lab of CAD&CG, Zhejiang University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhu_DM-GAN_Dynamic_Memory_Generative_Adversarial_Networks_for_Text-To-Image_Synthesis_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Shou_DMC-Net_Generating_Discriminative_Motion_Cues_for_Fast_Compressed_Video_Action_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zheng Shou; Xudong Lin; Yannis Kalantidis; Laura Sevilla-Lara; Marcus Rohrbach; Shih-Fu Chang; Zhicheng Yan", + "aff": "University of Edinburgh; Columbia University; Facebook AI", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Shou_DMC-Net_Generating_Discriminative_Motion_Cues_for_Fast_Compressed_Video_Action_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "DSFD: Dual Shot Face Detector", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_DSFD_Dual_Shot_Face_Detector_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jian Li; Yabiao Wang; Changan Wang; Ying Tai; Jianjun Qian; Jian Yang; Chengjie Wang; Jilin Li; Feiyue Huang", + "aff": "PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China; Youtu Lab, Tencent", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_DSFD_Dual_Shot_Face_Detector_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "DVC: An End-To-End Deep Video Compression Framework", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/GuoLusjtu/DVC", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lu_DVC_An_End-To-End_Deep_Video_Compression_Framework_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Guo Lu; Wanli Ouyang; Dong Xu; Xiaoyun Zhang; Chunlei Cai; Zhiyong Gao", + "aff": "The University of Sydney, SenseTime Computer Vision Research Group, Australia; The University of Sydney; Shanghai Jiao Tong University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lu_DVC_An_End-To-End_Deep_Video_Compression_Framework_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Dance With Flow: Two-In-One Stream Action Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhao_Dance_With_Flow_Two-In-One_Stream_Action_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jiaojiao Zhao; Cees G. M. Snoek", + "aff": "University of Amsterdam", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhao_Dance_With_Flow_Two-In-One_Stream_Action_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhao_Data_Augmentation_Using_Learned_Transformations_for_One-Shot_Medical_Image_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Amy Zhao; Guha Balakrishnan; Fr\u00c3\u00a9do Durand; John V. Guttag; Adrian V. Dalca", + "aff": "MIT; MIT, MGH", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhao_Data_Augmentation_Using_Learned_Transformations_for_One-Shot_Medical_Image_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Data Representation and Learning With Graph Diffusion-Embedding Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Jiang_Data_Representation_and_Learning_With_Graph_Diffusion-Embedding_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Bo Jiang; Doudou Lin; Jin Tang; Bin Luo", + "aff": "School of Computer Science and Technology, Anhui University, Hefei, 230601, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Jiang_Data_Representation_and_Learning_With_Graph_Diffusion-Embedding_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Data-Driven Neuron Allocation for Scale Aggregation Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/Eli-YiLi/ScaleNet", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Data-Driven_Neuron_Allocation_for_Scale_Aggregation_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yi Li; Zhanghui Kuang; Yimin Chen; Wayne Zhang", + "aff": "SenseTime", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Data-Driven_Neuron_Allocation_for_Scale_Aggregation_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-Scale Deep Features", + "status": "Poster", + "site": "", + "track": "main", + "project": "http://tangchang.net", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tang_DeFusionNET_Defocus_Blur_Detection_via_Recurrently_Fusing_and_Refining_Multi-Scale_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chang Tang; Xinzhong Zhu; Xinwang Liu; Lizhe Wang; Albert Zomaya", + "aff": "College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua 321004, China; School of Computer Science, China University of Geosciences, Wuhan 430074, China; School of Computer Science, National University of Defense Technology, Changsha 410073, China; School of Information Technologies, University of Sydney, NSW 2006, Australia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tang_DeFusionNET_Defocus_Blur_Detection_via_Recurrently_Fusing_and_Refining_Multi-Scale_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tian_Decoders_Matter_for_Semantic_Segmentation_Data-Dependent_Decoding_Enables_Flexible_Feature_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhi Tian; Tong He; Chunhua Shen; Youliang Yan", + "aff": "Noah\u2019s Ark Lab, Huawei Technologies; The University of Adelaide, Australia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tian_Decoders_Matter_for_Semantic_Segmentation_Data-Dependent_Decoding_Enables_Flexible_Feature_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Decorrelated Adversarial Learning for Age-Invariant Face Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Decorrelated_Adversarial_Learning_for_Age-Invariant_Face_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hao Wang; Dihong Gong; Zhifeng Li; Wei Liu", + "aff": "Tencent AI Lab; Columbia University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Decorrelated_Adversarial_Learning_for_Age-Invariant_Face_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/jeromerony/fast_adversarial", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Rony_Decoupling_Direction_and_Norm_for_Efficient_Gradient-Based_L2_Adversarial_Attacks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "J\u00c3\u00a9r\u00c3\u00b4me Rony; Luiz G. Hafemann; Luiz S. Oliveira; Ismail Ben Ayed; Robert Sabourin; Eric Granger", + "aff": "Department of Informatics, Federal University of Paran\u00e1, Curitiba, Brazil; Laboratoire d\u2019imagerie, de vision et d\u2019intelligence artificielle (LIVIA), \u00c9TS Montreal, Canada", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Rony_Decoupling_Direction_and_Norm_for_Efficient_Gradient-Based_L2_Adversarial_Attacks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Asymmetric Metric Learning via Rich Relationship Mining", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xu_Deep_Asymmetric_Metric_Learning_via_Rich_Relationship_Mining_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xinyi Xu; Yanhua Yang; Cheng Deng; Feng Zheng", + "aff": "School of Electronic Engineering, Xidian University, Xian 710071, China; Department of Computer Science and Engineering, Southern University of Science and Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xu_Deep_Asymmetric_Metric_Learning_via_Rich_Relationship_Mining_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kim_Deep_Blind_Video_Decaptioning_by_Temporal_Aggregation_and_Recurrence_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Dahun Kim; Sanghyun Woo; Joon-Young Lee; In So Kweon", + "aff": "KAIST; Adobe Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kim_Deep_Blind_Video_Decaptioning_by_Temporal_Aggregation_and_Recurrence_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep ChArUco: Dark ChArUco Marker Pose Estimation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hu_Deep_ChArUco_Dark_ChArUco_Marker_Pose_Estimation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Danying Hu; Daniel DeTone; Tomasz Malisiewicz", + "aff": "Magic Leap, Inc.", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hu_Deep_ChArUco_Dark_ChArUco_Marker_Pose_Estimation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Defocus Map Estimation Using Domain Adaptation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lee_Deep_Defocus_Map_Estimation_Using_Domain_Adaptation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Junyong Lee; Sungkil Lee; Sunghyun Cho; Seungyong Lee", + "aff": "POSTECH; DGIST; Sungkyunkwan University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lee_Deep_Defocus_Map_Estimation_Using_Domain_Adaptation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Dual Relation Modeling for Egocentric Interaction Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Deep_Dual_Relation_Modeling_for_Egocentric_Interaction_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Haoxin Li; Yijun Cai; Wei-Shi Zheng", + "aff": "School of Electronics and Information Technology, Sun Yat-sen University, China; Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China; School of Data and Computer Science, Sun Yat-sen University, China; Peng Cheng Laboratory, Shenzhen 518005, China; Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China; School of Electronics and Information Technology, Sun Yat-sen University, China; Peng Cheng Laboratory, Shenzhen 518005, China; Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Deep_Dual_Relation_Modeling_for_Egocentric_Interaction_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Embedding Learning With Discriminative Sampling Policy", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Duan_Deep_Embedding_Learning_With_Discriminative_Sampling_Policy_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yueqi Duan; Lei Chen; Jiwen Lu; Jie Zhou", + "aff": "Department of Automation, Tsinghua University, China; State Key Lab of Intelligent Technologies and Systems, China; Beijing National Research Center for Information Science and Technology, China; Department of Automation, Tsinghua University, China; State Key Lab of Intelligent Technologies and Systems, China; Beijing National Research Center for Information Science and Technology, China; School of Electrical and Information Engineering, Tianjin University, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Duan_Deep_Embedding_Learning_With_Discriminative_Sampling_Policy_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Exemplar-Based Video Colorization", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Deep_Exemplar-Based_Video_Colorization_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Bo Zhang; Mingming He; Jing Liao; Pedro V. Sander; Lu Yuan; Amine Bermak; Dong Chen", + "aff": "Microsoft Research Asia; Hong Kong University of Science and Technology; City University of Hong Kong", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Deep_Exemplar-Based_Video_Colorization_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Fitting Degree Scoring Network for Monocular 3D Object Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Deep_Fitting_Degree_Scoring_Network_for_Monocular_3D_Object_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Lijie Liu; Jiwen Lu; Chunjing Xu; Qi Tian; Jie Zhou", + "aff": "Noah\u2019s Ark Lab, Huawei; Department of Automation, Tsinghua University, China; State Key Lab of Intelligent Technologies and Systems, China; Beijing National Research Center for Information Science and Technology, China; Department of Automation, Tsinghua University, China; Noah\u2019s Ark Lab, Huawei", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Deep_Fitting_Degree_Scoring_Network_for_Monocular_3D_Object_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Flow-Guided Video Inpainting", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/nbei/Deep-Flow-Guided-Video-Inpainting", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xu_Deep_Flow-Guided_Video_Inpainting_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Rui Xu; Xiaoxiao Li; Bolei Zhou; Chen Change Loy", + "aff": "CUHK-SenseTime Joint Lab, The Chinese University of Hong Kong; Nanyang Technological University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xu_Deep_Flow-Guided_Video_Inpainting_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Geometric Prior for Surface Reconstruction", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Williams_Deep_Geometric_Prior_for_Surface_Reconstruction_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Francis Williams; Teseo Schneider; Claudio Silva; Denis Zorin; Joan Bruna; Daniele Panozzo", + "aff": "New York University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Williams_Deep_Geometric_Prior_for_Surface_Reconstruction_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Global Generalized Gaussian Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Deep_Global_Generalized_Gaussian_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Qilong Wang; Peihua Li; Qinghua Hu; Pengfei Zhu; Wangmeng Zuo", + "aff": "Tianjin University; Harbin Institute of Technology; Dalian University of Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Deep_Global_Generalized_Gaussian_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep High-Resolution Representation Learning for Human Pose Estimation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/leoxiaobin/deep-high-resolution-net.pytorch", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Sun_Deep_High-Resolution_Representation_Learning_for_Human_Pose_Estimation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ke Sun; Bin Xiao; Dong Liu; Jingdong Wang", + "aff": "Microsoft Research Asia; University of Science and Technology of China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Sun_Deep_High-Resolution_Representation_Learning_for_Human_Pose_Estimation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Incremental Hashing Network for Efficient Image Retrieval", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wu_Deep_Incremental_Hashing_Network_for_Efficient_Image_Retrieval_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Dayan Wu; Qi Dai; Jing Liu; Bo Li; Weiping Wang", + "aff": "Institute of Information Engineering, Chinese Academy of Sciences; Microsoft Research Asia; Institute of Information Engineering, Chinese Academy of Sciences; School of Cyber Security, University of Chinese Academy of Sciences", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wu_Deep_Incremental_Hashing_Network_for_Efficient_Image_Retrieval_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Metric Learning Beyond Binary Supervision", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kim_Deep_Metric_Learning_Beyond_Binary_Supervision_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Sungyeon Kim; Minkyo Seo; Ivan Laptev; Minsu Cho; Suha Kwak", + "aff": "Inria / Ecole Normale Sup\u00e9rieure, Paris, France; POSTECH, Pohang, Korea", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kim_Deep_Metric_Learning_Beyond_Binary_Supervision_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Metric Learning to Rank", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Cakir_Deep_Metric_Learning_to_Rank_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Fatih Cakir; Kun He; Xide Xia; Brian Kulis; Stan Sclaroff", + "aff": "Boston University; FirstFuel", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Cakir_Deep_Metric_Learning_to_Rank_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Modular Co-Attention Networks for Visual Question Answering", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yu_Deep_Modular_Co-Attention_Networks_for_Visual_Question_Answering_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhou Yu; Jun Yu; Yuhao Cui; Dacheng Tao; Qi Tian", + "aff": "Key Laboratory of Complex Systems Modeling and Simulation, School of Computer Science and Technology, Hangzhou Dianzi University, China.; Noah\u2019s Ark Lab, Huawei, China; UBTECH Sydney AI Centre, School of Computer Science, FEIT, University of Sydney, Australia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yu_Deep_Modular_Co-Attention_Networks_for_Visual_Question_Answering_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Multimodal Clustering for Unsupervised Audiovisual Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hu_Deep_Multimodal_Clustering_for_Unsupervised_Audiovisual_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Di Hu; Feiping Nie; Xuelong Li", + "aff": "School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an 710072, P. R. China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hu_Deep_Multimodal_Clustering_for_Unsupervised_Audiovisual_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Network Interpolation for Continuous Imagery Effect Transition", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://xinntao.github.io/projects/DNI/", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Deep_Network_Interpolation_for_Continuous_Imagery_Effect_Transition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xintao Wang; Ke Yu; Chao Dong; Xiaoou Tang; Chen Change Loy", + "aff": "Nanyang Technological University, Singapore; SIAT-SenseTime Joint Lab, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences; CUHK - SenseTime Joint Lab, The Chinese University of Hong Kong", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Deep_Network_Interpolation_for_Continuous_Imagery_Effect_Transition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Plug-And-Play Super-Resolution for Arbitrary Blur Kernels", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/cszn/DPSR", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Deep_Plug-And-Play_Super-Resolution_for_Arbitrary_Blur_Kernels_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kai Zhang; Wangmeng Zuo; Lei Zhang", + "aff": "School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China; Dept. of Computing, The Hong Kong Polytechnic University, Hong Kong, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Deep_Plug-And-Play_Super-Resolution_for_Arbitrary_Blur_Kernels_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep RNN Framework for Visual Sequential Applications", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/BoPang1996/Deep-RNN-Framework", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Pang_Deep_RNN_Framework_for_Visual_Sequential_Applications_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Bo Pang; Kaiwen Zha; Hanwen Cao; Chen Shi; Cewu Lu", + "aff": "Shanghai Jiao Tong University, MoE Key Lab of Artiificial Intelligence, AI Institute; Shanghai Jiao Tong University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Pang_Deep_RNN_Framework_for_Visual_Sequential_Applications_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Reinforcement Learning of Volume-Guided Progressive View Inpainting for 3D Point Scene Completion From a Single Depth Image", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Han_Deep_Reinforcement_Learning_of_Volume-Guided_Progressive_View_Inpainting_for_3D_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiaoguang Han; Zhaoxuan Zhang; Dong Du; Mingdai Yang; Jingming Yu; Pan Pan; Xin Yang; Ligang Liu; Zixiang Xiong; Shuguang Cui", + "aff": "TAMU; SRIBD; CUHK(Shenzhen); USTC; Alibaba Group; DUT", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Han_Deep_Reinforcement_Learning_of_Volume-Guided_Progressive_View_Inpainting_for_3D_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Rigid Instance Scene Flow", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ma_Deep_Rigid_Instance_Scene_Flow_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wei-Chiu Ma; Shenlong Wang; Rui Hu; Yuwen Xiong; Raquel Urtasun", + "aff": "Massachusetts Institute of Technology; Uber Advanced Technologies Group; University of Toronto", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ma_Deep_Rigid_Instance_Scene_Flow_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Robust Subjective Visual Property Prediction in Crowdsourcing", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xu_Deep_Robust_Subjective_Visual_Property_Prediction_in_Crowdsourcing_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Qianqian Xu; Zhiyong Yang; Yangbangyan Jiang; Xiaochun Cao; Qingming Huang; Yuan Yao", + "aff": "School of Computer Science and Tech., University of Chinese Academy of Sciences, Beijing, 101408, China; Key Lab of Intell. Info. Process., Inst. of Comput. Tech., CAS, Beijing, 100190, China; Department of Mathematics, Hong Kong University of Science and Technology, Hong Kong; State Key Laboratory of Info. Security (SKLOIS), Inst. of Info. Engin., CAS, Beijing, 100093, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xu_Deep_Robust_Subjective_Visual_Property_Prediction_in_Crowdsourcing_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Single Image Camera Calibration With Radial Distortion", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lopez_Deep_Single_Image_Camera_Calibration_With_Radial_Distortion_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Manuel L\u00c3\u00b3pez; Roger Mar\u00c3\u00ad; Pau Gargallo; Yubin Kuang; Javier Gonzalez-Jimenez; Gloria Haro", + "aff": "CMLA, ENS Cachan, mari@cmla.ens-cachan.fr; Universitat Pompeu Fabra, gloria.haro@upf.edu; Mapillary, firstname@mapillary.com; Universidad de M \u00b4alaga, javiergonzalez@uma.es", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lopez_Deep_Single_Image_Camera_Calibration_With_Radial_Distortion_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Deep_Sketch-Shape_Hashing_With_Segmented_3D_Stochastic_Viewing_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jiaxin Chen; Jie Qin; Li Liu; Fan Zhu; Fumin Shen; Jin Xie; Ling Shao", + "aff": "University of Electronic Science and Technology of China, Chengdu, China; Nanjing University of Science and Technology, Nanjing, China; Inception Institute of Arti\ufb01cial Intelligence (IIAI), Abu Dhabi, UAE", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Deep_Sketch-Shape_Hashing_With_Segmented_3D_Stochastic_Viewing_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Sky Modeling for Single Image Outdoor Lighting Estimation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hold-Geoffroy_Deep_Sky_Modeling_for_Single_Image_Outdoor_Lighting_Estimation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yannick Hold-Geoffroy; Akshaya Athawale; Jean-Fran\u00c3\u00a7ois Lalonde", + "aff": "Adobe Research; Indian Institute of Tech. Dhanbad; Universit \u00b4e Laval", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hold-Geoffroy_Deep_Sky_Modeling_for_Single_Image_Outdoor_Lighting_Estimation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Spectral Clustering Using Dual Autoencoder Network", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yang_Deep_Spectral_Clustering_Using_Dual_Autoencoder_Network_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xu Yang; Cheng Deng; Feng Zheng; Junchi Yan; Wei Liu", + "aff": "", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yang_Deep_Spectral_Clustering_Using_Dual_Autoencoder_Network_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Spherical Quantization for Image Search", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Eghbali_Deep_Spherical_Quantization_for_Image_Search_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Sepehr Eghbali; Ladan Tahvildari", + "aff": "University of Waterloo", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Eghbali_Deep_Spherical_Quantization_for_Image_Search_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Deep_Stacked_Hierarchical_Multi-Patch_Network_for_Image_Deblurring_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hongguang Zhang; Yuchao Dai; Hongdong Li; Piotr Koniusz", + "aff": "Northwestern Polytechnical University; Australian National University, Data61/CSIRO; Australian National University, Australian Centre for Robotic Vision", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Deep_Stacked_Hierarchical_Multi-Patch_Network_for_Image_Deblurring_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Supervised Cross-Modal Retrieval", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhen_Deep_Supervised_Cross-Modal_Retrieval_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Liangli Zhen; Peng Hu; Xu Wang; Dezhong Peng", + "aff": "Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, 610065, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhen_Deep_Supervised_Cross-Modal_Retrieval_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Surface Normal Estimation With Hierarchical RGB-D Fusion", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zeng_Deep_Surface_Normal_Estimation_With_Hierarchical_RGB-D_Fusion_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jin Zeng; Yanfeng Tong; Yunmu Huang; Qiong Yan; Wenxiu Sun; Jing Chen; Yongtian Wang", + "aff": "SenseTime Research, Beijing Institute of Technology; Beijing Institute of Technology; SenseTime Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zeng_Deep_Surface_Normal_Estimation_With_Hierarchical_RGB-D_Fusion_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Transfer Learning for Multiple Class Novelty Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Perera_Deep_Transfer_Learning_for_Multiple_Class_Novelty_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Pramuditha Perera; Vishal M. Patel", + "aff": "Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218, USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Perera_Deep_Transfer_Learning_for_Multiple_Class_Novelty_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Tree Learning for Zero-Shot Face Anti-Spoofing", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Deep_Tree_Learning_for_Zero-Shot_Face_Anti-Spoofing_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yaojie Liu; Joel Stehouwer; Amin Jourabloo; Xiaoming Liu", + "aff": "Department of Computer Science and Engineering, Michigan State University, East Lansing MI 48824", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Deep_Tree_Learning_for_Zero-Shot_Face_Anti-Spoofing_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Video Inpainting", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kim_Deep_Video_Inpainting_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Dahun Kim; Sanghyun Woo; Joon-Young Lee; In So Kweon", + "aff": "KAIST; Adobe Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kim_Deep_Video_Inpainting_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kim_Deep_Virtual_Networks_for_Memory_Efficient_Inference_of_Multiple_Tasks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Eunwoo Kim; Chanho Ahn; Philip H.S. Torr; Songhwai Oh", + "aff": "University of Oxford; Seoul National University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kim_Deep_Virtual_Networks_for_Memory_Efficient_Inference_of_Multiple_Tasks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "DeepCO3: Deep Instance Co-Segmentation by Co-Peak Search and Co-Saliency Detection", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/KuangJuiHsu/DeepCO3/", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hsu_DeepCO3_Deep_Instance_Co-Segmentation_by_Co-Peak_Search_and_Co-Saliency_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kuang-Jui Hsu; Yen-Yu Lin; Yung-Yu Chuang", + "aff": "1. Academia Sinica, Taiwan; 2. National Taiwan University, Taiwan; 1. Academia Sinica, Taiwan", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hsu_DeepCO3_Deep_Instance_Co-Segmentation_by_Co-Peak_Search_and_Co-Saliency_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "DeepCaps: Going Deeper With Capsule Networks", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/brjathu/deepcaps", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Rajasegaran_DeepCaps_Going_Deeper_With_Capsule_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jathushan Rajasegaran; Vinoj Jayasundara; Sandaru Jayasekara; Hirunima Jayasekara; Suranga Seneviratne; Ranga Rodrigo", + "aff": "School of Computer Science, University of Sydney; Department of Electronic and Telecommunication Engineering, University of Moratuwa", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Rajasegaran_DeepCaps_Going_Deeper_With_Capsule_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/switchablenorms/DeepFashion2", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ge_DeepFashion2_A_Versatile_Benchmark_for_Detection_Pose_Estimation_Segmentation_and_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yuying Ge; Ruimao Zhang; Xiaogang Wang; Xiaoou Tang; Ping Luo", + "aff": "The Chinese University of Hong Kong", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ge_DeepFashion2_A_Versatile_Benchmark_for_Detection_Pose_Estimation_Segmentation_and_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "DeepFlux for Skeletons in the Wild", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/YukangWang/DeepFlux", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_DeepFlux_for_Skeletons_in_the_Wild_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yukang Wang; Yongchao Xu; Stavros Tsogkas; Xiang Bai; Sven Dickinson; Kaleem Siddiqi", + "aff": "Huazhong University of Science and Technology; School of Computer Science and Centre for Intelligent Machines, McGill University; University of Toronto, Vector Institute for Arti\ufb01cial Intelligence, Samsung Toronto AI Research Center", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_DeepFlux_for_Skeletons_in_the_Wild_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene From Sparse LiDAR Data and Single Color Image", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Qiu_DeepLiDAR_Deep_Surface_Normal_Guided_Depth_Prediction_for_Outdoor_Scene_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jiaxiong Qiu; Zhaopeng Cui; Yinda Zhang; Xingdi Zhang; Shuaicheng Liu; Bing Zeng; Marc Pollefeys", + "aff": "ETH Z\u00fcrich; UESTC; Microsoft; Google; Megvii Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Qiu_DeepLiDAR_Deep_Surface_Normal_Guided_Depth_Prediction_for_Outdoor_Scene_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/LeGendre_DeepLight_Learning_Illumination_for_Unconstrained_Mobile_Mixed_Reality_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chloe LeGendre; Wan-Chun Ma; Graham Fyffe; John Flynn; Laurent Charbonnel; Jay Busch; Paul Debevec", + "aff": "Google Inc.; Google Inc., USC Institute for Creative Technologies", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/LeGendre_DeepLight_Learning_Illumination_for_Unconstrained_Mobile_Mixed_Reality_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://ai4ce.github.io/DeepMapping/", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ding_DeepMapping_Unsupervised_Map_Estimation_From_Multiple_Point_Clouds_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Li Ding; Chen Feng", + "aff": "University of Rochester; NYU Tandon School of Engineering, Mitsubishi Electric Research Laboratories (MERL)", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ding_DeepMapping_Unsupervised_Map_Estimation_From_Multiple_Point_Clouds_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Park_DeepSDF_Learning_Continuous_Signed_Distance_Functions_for_Shape_Representation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jeong Joon Park; Peter Florence; Julian Straub; Richard Newcombe; Steven Lovegrove", + "aff": "Massachusetts Institute of Technology; University of Washington; Facebook Reality Labs", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Park_DeepSDF_Learning_Continuous_Signed_Distance_Functions_for_Shape_Representation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "DeepView: View Synthesis With Learned Gradient Descent", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Flynn_DeepView_View_Synthesis_With_Learned_Gradient_Descent_CVPR_2019_paper.pdf", + "youtube": "", + "author": "John Flynn; Michael Broxton; Paul Debevec; Matthew DuVall; Graham Fyffe; Ryan Overbeck; Noah Snavely; Richard Tucker", + "aff": "Google Inc.", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Flynn_DeepView_View_Synthesis_With_Learned_Gradient_Descent_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "DeepVoxels: Learning Persistent 3D Feature Embeddings", + "status": "Oral", + "site": "", + "track": "main", + "project": "http://vsitzmann.github.io/deepvoxels/", + "github": "https://github.com/vsitzmann/deepvoxels", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Sitzmann_DeepVoxels_Learning_Persistent_3D_Feature_Embeddings_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Vincent Sitzmann; Justus Thies; Felix Heide; Matthias Nie\u00c3\u009fner; Gordon Wetzstein; Michael Zollh\u00c3\u00b6fer", + "aff": "Technical University of Munich; Stanford University; Princeton University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Sitzmann_DeepVoxels_Learning_Persistent_3D_Feature_Embeddings_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deeper and Wider Siamese Networks for Real-Time Visual Tracking", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Deeper_and_Wider_Siamese_Networks_for_Real-Time_Visual_Tracking_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhipeng Zhang; Houwen Peng", + "aff": "Microsoft Research; University of Chinese Academy of Sciences&CASIA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Deeper_and_Wider_Siamese_Networks_for_Real-Time_Visual_Tracking_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deeply-Supervised Knowledge Synergy", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/sundw2014/DKS", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Sun_Deeply-Supervised_Knowledge_Synergy_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Dawei Sun; Anbang Yao; Aojun Zhou; Hao Zhao", + "aff": "Intel Labs China; Intel Labs China, Tsinghua University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Sun_Deeply-Supervised_Knowledge_Synergy_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Defending Against Adversarial Attacks by Randomized Diversification", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Taran_Defending_Against_Adversarial_Attacks_by_Randomized_Diversification_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Olga Taran; Shideh Rezaeifar; Taras Holotyak; Slava Voloshynovskiy", + "aff": "Department of Computer Science, University of Geneva", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Taran_Defending_Against_Adversarial_Attacks_by_Randomized_Diversification_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Dubey_Defense_Against_Adversarial_Images_Using_Web-Scale_Nearest-Neighbor_Search_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Abhimanyu Dubey; Laurens van der Maaten; Zeki Yalniz; Yixuan Li; Dhruv Mahajan", + "aff": "Massachusetts Institute of Technology; Facebook AI", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Dubey_Defense_Against_Adversarial_Images_Using_Web-Scale_Nearest-Neighbor_Search_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Deformable ConvNets V2: More Deformable, Better Results", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhu_Deformable_ConvNets_V2_More_Deformable_Better_Results_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xizhou Zhu; Han Hu; Stephen Lin; Jifeng Dai", + "aff": "Microsoft Research Asia; University of Science and Technology of China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhu_Deformable_ConvNets_V2_More_Deformable_Better_Results_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Dense 3D Face Decoding Over 2500FPS: Joint Texture & Shape Convolutional Mesh Decoders", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhou_Dense_3D_Face_Decoding_Over_2500FPS_Joint_Texture__Shape_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yuxiang Zhou; Jiankang Deng; Irene Kotsia; Stefanos Zafeiriou", + "aff": "University of Middlesex; Imperial College London", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhou_Dense_3D_Face_Decoding_Over_2500FPS_Joint_Texture__Shape_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Dense Classification and Implanting for Few-Shot Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lifchitz_Dense_Classification_and_Implanting_for_Few-Shot_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yann Lifchitz; Yannis Avrithis; Sylvaine Picard; Andrei Bursuc", + "aff": "Univ Rennes, Inria, CNRS, IRISA; Safran; valeo.ai", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lifchitz_Dense_Classification_and_Implanting_for_Few-Shot_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Dense Depth Posterior (DDP) From Single Image and Sparse Range", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/YanchaoYang/Dense-Depth-Posterior", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yang_Dense_Depth_Posterior_DDP_From_Single_Image_and_Sparse_Range_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yanchao Yang; Alex Wong; Stefano Soatto", + "aff": "UCLA Vision Lab, University of California, Los Angeles, CA 90095", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yang_Dense_Depth_Posterior_DDP_From_Single_Image_and_Sparse_Range_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Dense Intrinsic Appearance Flow for Human Pose Transfer", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "http://mmlab.ie.cuhk.edu.hk/projects/pose-transfer/", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Dense_Intrinsic_Appearance_Flow_for_Human_Pose_Transfer_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yining Li; Chen Huang; Chen Change Loy", + "aff": "CUHK-SenseTime Joint Lab, The Chinese University of Hong Kong; Robotics Institute, Carnegie Mellon University; School of Computer Science and Engineering, Nanyang Technological University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Dense_Intrinsic_Appearance_Flow_for_Human_Pose_Transfer_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kim_Dense_Relational_Captioning_Triple-Stream_Networks_for_Relationship-Based_Captioning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Dong-Jin Kim; Jinsoo Choi; Tae-Hyun Oh; In So Kweon", + "aff": "KAIST, South Korea; MIT CSAIL, Cambridge, MA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kim_Dense_Relational_Captioning_Triple-Stream_Networks_for_Relationship-Based_Captioning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://sites.google.com/view/densefusion/", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_DenseFusion_6D_Object_Pose_Estimation_by_Iterative_Dense_Fusion_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chen Wang; Danfei Xu; Yuke Zhu; Roberto Mart\u00c3\u00adn-Mart\u00c3\u00adn; Cewu Lu; Li Fei-Fei; Silvio Savarese", + "aff": "Department of Computer Science, Stanford University; Department of Computer Science, Shanghai Jiao Tong University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_DenseFusion_6D_Object_Pose_Estimation_by_Iterative_Dense_Fusion_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Densely Semantically Aligned Person Re-Identification", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Densely_Semantically_Aligned_Person_Re-Identification_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhizheng Zhang; Cuiling Lan; Wenjun Zeng; Zhibo Chen", + "aff": "Microsoft Research Asia; University of Science and Technology of China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Densely_Semantically_Aligned_Person_Re-Identification_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Density Map Regression Guided Detection Network for RGB-D Crowd Counting and Localization", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lian_Density_Map_Regression_Guided_Detection_Network_for_RGB-D_Crowd_Counting_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Dongze Lian; Jing Li; Jia Zheng; Weixin Luo; Shenghua Gao", + "aff": "ShanghaiTech University, Yoke Intelligence; ShanghaiTech University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lian_Density_Map_Regression_Guided_Detection_Network_for_RGB-D_Crowd_Counting_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Depth Coefficients for Depth Completion", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Imran_Depth_Coefficients_for_Depth_Completion_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Saif Imran; Yunfei Long; Xiaoming Liu; Daniel Morris", + "aff": "", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Imran_Depth_Coefficients_for_Depth_Completion_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Depth From a Polarisation + RGB Stereo Pair", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhu_Depth_From_a_Polarisation__RGB_Stereo_Pair_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Dizhong Zhu; William A. P. Smith", + "aff": "University of York, York, UK", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhu_Depth_From_a_Polarisation__RGB_Stereo_Pair_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Depth-Attentional Features for Single-Image Rain Removal", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hu_Depth-Attentional_Features_for_Single-Image_Rain_Removal_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiaowei Hu; Chi-Wing Fu; Lei Zhu; Pheng-Ann Heng", + "aff": "Department of Computer Science and Engineering, The Chinese University of Hong Kong; Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China; Department of Computer Science and Engineering, The Chinese University of Hong Kong; Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hu_Depth-Attentional_Features_for_Single-Image_Rain_Removal_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Depth-Aware Video Frame Interpolation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/baowenbo/DAIN", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Bao_Depth-Aware_Video_Frame_Interpolation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wenbo Bao; Wei-Sheng Lai; Chao Ma; Xiaoyun Zhang; Zhiyong Gao; Ming-Hsuan Yang", + "aff": "University of California, Merced; Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University; MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University; University of California, Merced4Google", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Bao_Depth-Aware_Video_Frame_Interpolation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Describing Like Humans: On Diversity in Image Captioning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Describing_Like_Humans_On_Diversity_in_Image_Captioning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Qingzhong Wang; Antoni B. Chan", + "aff": "Department of Computer Science, City University of Hong Kong", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Describing_Like_Humans_On_Diversity_in_Image_Captioning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Destruction and Construction Learning for Fine-Grained Image Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/JDAI-CV/DCL", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Destruction_and_Construction_Learning_for_Fine-Grained_Image_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yue Chen; Yalong Bai; Wei Zhang; Tao Mei", + "aff": "JD AI Research, Beijing, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Destruction_and_Construction_Learning_for_Fine-Grained_Image_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Detailed Human Shape Estimation From a Single Image by Hierarchical Mesh Deformation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/zhuhao-nju/hmd.git", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhu_Detailed_Human_Shape_Estimation_From_a_Single_Image_by_Hierarchical_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hao Zhu; Xinxin Zuo; Sen Wang; Xun Cao; Ruigang Yang", + "aff": "University of Kentucky, Lexington, KY, USA; Northwestern Polytechnical University, Xi'an, China; Baidu Inc., Beijing, China; Nanjing University, Nanjing, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhu_Detailed_Human_Shape_Estimation_From_a_Single_Image_by_Hierarchical_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Detect-To-Retrieve: Efficient Regional Aggregation for Image Search", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Teichmann_Detect-To-Retrieve_Efficient_Regional_Aggregation_for_Image_Search_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Marvin Teichmann; Andr\u00c3\u00a9 Araujo; Menglong Zhu; Jack Sim", + "aff": "Google AI, USA; University of Cambridge, UK", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Teichmann_Detect-To-Retrieve_Efficient_Regional_Aggregation_for_Image_Search_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Detecting Overfitting of Deep Generative Networks via Latent Recovery", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Webster_Detecting_Overfitting_of_Deep_Generative_Networks_via_Latent_Recovery_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ryan Webster; Julien Rabin; Lo\u00c3\u00afc Simon; Fr\u00c3\u00a9d\u00c3\u00a9ric Jurie", + "aff": "Normandie Univ., ENSICAEN, UNICAEN, CNRS, GREYC, France", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Webster_Detecting_Overfitting_of_Deep_Generative_Networks_via_Latent_Recovery_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Detection Based Defense Against Adversarial Examples From the Steganalysis Point of View", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Detection_Based_Defense_Against_Adversarial_Examples_From_the_Steganalysis_Point_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jiayang Liu; Weiming Zhang; Yiwei Zhang; Dongdong Hou; Yujia Liu; Hongyue Zha; Nenghai Yu", + "aff": "University of Science and Technology of China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Detection_Based_Defense_Against_Adversarial_Examples_From_the_Steganalysis_Point_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Acuna_Devil_Is_in_the_Edges_Learning_Semantic_Boundaries_From_Noisy_CVPR_2019_paper.pdf", + "youtube": "", + "author": "David Acuna; Amlan Kar; Sanja Fidler", + "aff": "NVIDIA, University of Toronto, Vector Institute; University of Toronto, NVIDIA, Vector Institute", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Acuna_Devil_Is_in_the_Edges_Learning_Semantic_Boundaries_From_Noisy_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Dichromatic Model Based Temporal Color Constancy for AC Light Sources", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yoo_Dichromatic_Model_Based_Temporal_Color_Constancy_for_AC_Light_Sources_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jun-Sang Yoo; Jong-Ok Kim", + "aff": "School of Electrical Engineering, Korea University, Seoul, Korea", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yoo_Dichromatic_Model_Based_Temporal_Color_Constancy_for_AC_Light_Sources_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Did It Change? Learning to Detect Point-Of-Interest Changes for Proactive Map Updates", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Revaud_Did_It_Change_Learning_to_Detect_Point-Of-Interest_Changes_for_Proactive_CVPR_2019_paper.pdf", + "youtube": "", + "author": "J\u00c3\u00a9r\u00c3\u00b4me Revaud; Minhyeok Heo; Rafael S. Rezende; Chanmi You; Seong-Gyun Jeong", + "aff": "NAVER LABS Europe; NAVER LABS", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Revaud_Did_It_Change_Learning_to_Detect_Point-Of-Interest_Changes_for_Proactive_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Direct Object Recognition Without Line-Of-Sight Using Optical Coherence", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lei_Direct_Object_Recognition_Without_Line-Of-Sight_Using_Optical_Coherence_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xin Lei; Liangyu He; Yixuan Tan; Ken Xingze Wang; Xinggang Wang; Yihan Du; Shanhui Fan; Zongfu Yu", + "aff": "Coherent AI LLC; Institute of AI, School of EIC, Huazhong University of Science and Technology; Ginzton Laboratory, Department of Electrical Engineering, Stanford University; Department of Electrical and Computer Engineering, University of Wisconsin-Madison", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lei_Direct_Object_Recognition_Without_Line-Of-Sight_Using_Optical_Coherence_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Discovering Fair Representations in the Data Domain", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Quadrianto_Discovering_Fair_Representations_in_the_Data_Domain_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Novi Quadrianto; Viktoriia Sharmanska; Oliver Thomas", + "aff": "Department of Computing, Imperial College London, United Kingdom; Predictive Analytics Lab (PAL), University of Sussex, Brighton, United Kingdom", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Quadrianto_Discovering_Fair_Representations_in_the_Data_Domain_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Discovering Visual Patterns in Art Collections With Spatially-Consistent Feature Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "http://imagine.enpc.fr/~shenx/ArtMiner", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Shen_Discovering_Visual_Patterns_in_Art_Collections_With_Spatially-Consistent_Feature_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xi Shen; Alexei A. Efros; Mathieu Aubry", + "aff": "LIGM (UMR 8049), Ecole des Ponts ParisTech; University of California, Berkeley", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Shen_Discovering_Visual_Patterns_in_Art_Collections_With_Spatially-Consistent_Feature_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Disentangled Representation Learning for 3D Face Shape", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Jiang_Disentangled_Representation_Learning_for_3D_Face_Shape_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zi-Hang Jiang; Qianyi Wu; Keyu Chen; Juyong Zhang", + "aff": "University of Science and Technology of China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Jiang_Disentangled_Representation_Learning_for_3D_Face_Shape_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Disentangling Adversarial Robustness and Generalization", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Stutz_Disentangling_Adversarial_Robustness_and_Generalization_CVPR_2019_paper.pdf", + "youtube": "", + "author": "David Stutz; Matthias Hein; Bernt Schiele", + "aff": "Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbr\u00fccken; University of T\u00fcbingen, T\u00fcbingen", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Stutz_Disentangling_Adversarial_Robustness_and_Generalization_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Disentangling Latent Hands for Image Synthesis and Pose Estimation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yang_Disentangling_Latent_Hands_for_Image_Synthesis_and_Pose_Estimation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Linlin Yang; Angela Yao", + "aff": "National University of Singapore, Singapore; University of Bonn, Germany", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yang_Disentangling_Latent_Hands_for_Image_Synthesis_and_Pose_Estimation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zheng_Disentangling_Latent_Space_for_VAE_by_Label_RelevantIrrelevant_Dimensions_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhilin Zheng; Li Sun", + "aff": "Shanghai Key Laboratory of Multidimensional Information Processing, East China Normal University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zheng_Disentangling_Latent_Space_for_VAE_by_Label_RelevantIrrelevant_Dimensions_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Dissecting Person Re-Identification From the Viewpoint of Viewpoint", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Sun_Dissecting_Person_Re-Identification_From_the_Viewpoint_of_Viewpoint_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiaoxiao Sun; Liang Zheng", + "aff": "Australian National University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Sun_Dissecting_Person_Re-Identification_From_the_Viewpoint_of_Viewpoint_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Dissimilarity Coefficient Based Weakly Supervised Object Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Arun_Dissimilarity_Coefficient_Based_Weakly_Supervised_Object_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Aditya Arun; C.V. Jawahar; M. Pawan Kumar", + "aff": "University of Oxford, The Alan Turing Institute; CVIT, KCIS, IIIT Hyderabad", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Arun_Dissimilarity_Coefficient_Based_Weakly_Supervised_Object_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liang_Distant_Supervised_Centroid_Shift_A_Simple_and_Efficient_Approach_to_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jian Liang; Ran He; Zhenan Sun; Tieniu Tan", + "aff": "CRIPAC & NLPR, Institute of Automation, Chinese Academy of Sciences (CAS), University of Chinese Academy of Sciences, CAS Center for Excellence in Brain Science and Intelligence Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liang_Distant_Supervised_Centroid_Shift_A_Simple_and_Efficient_Approach_to_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yang_DistillHash_Unsupervised_Deep_Hashing_by_Distilling_Data_Pairs_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Erkun Yang; Tongliang Liu; Cheng Deng; Wei Liu; Dacheng Tao", + "aff": "School of Electronic Engineering, Xidian University, Xian 710071, China; UBTECH Sydney AI Centre, School of Computer Science, FEIT, University of Sydney, Darlington, NSW 2008, Australia; Tencent AI Lab, Shenzhen, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yang_DistillHash_Unsupervised_Deep_Hashing_by_Distilling_Data_Pairs_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Distilled Person Re-Identification: Towards a More Scalable System", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wu_Distilled_Person_Re-Identification_Towards_a_More_Scalable_System_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ancong Wu; Wei-Shi Zheng; Xiaowei Guo; Jian-Huang Lai", + "aff": "School of Electronics and Information Technology, Sun Yat-sen University, China; School of Data and Computer Science, Sun Yat-sen University, China; YouTu Lab, Tencent", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wu_Distilled_Person_Re-Identification_Towards_a_More_Scalable_System_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Distilling Object Detectors With Fine-Grained Feature Imitation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/twangnh/Distilling-Object-Detectors", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Distilling_Object_Detectors_With_Fine-Grained_Feature_Imitation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Tao Wang; Li Yuan; Xiaopeng Zhang; Jiashi Feng", + "aff": "Department of Electrical and Computer Engineering, National University of Singapore, Singapore; Huawei Noah\u2019s Ark Lab, Shanghai, China; Department of Electrical and Computer Engineering, National University of Singapore, Singapore", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Distilling_Object_Detectors_With_Fine-Grained_Feature_Imitation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Distraction-Aware Shadow Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zheng_Distraction-Aware_Shadow_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Quanlong Zheng; Xiaotian Qiao; Ying Cao; Rynson W.H. Lau", + "aff": "Department of Computer Science, City University of Hong Kong", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zheng_Distraction-Aware_Shadow_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Divergence Prior and Vessel-Tree Reconstruction", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Divergence_Prior_and_Vessel-Tree_Reconstruction_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhongwen Zhang; Dmitrii Marin; Egor Chesakov; Marc Moreno Maza; Maria Drangova; Yuri Boykov", + "aff": "University of Waterloo, Canada; Western University, Canada; Robarts Research, Canada", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Divergence_Prior_and_Vessel-Tree_Reconstruction_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Han_Divergence_Triangle_for_Joint_Training_of_Generator_Model_Energy-Based_Model_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Tian Han; Erik Nijkamp; Xiaolin Fang; Mitch Hill; Song-Chun Zhu; Ying Nian Wu", + "aff": "University of California, Los Angeles; Zhejiang University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Han_Divergence_Triangle_for_Joint_Training_of_Generator_Model_Energy-Based_Model_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Diverse Generation for Multi-Agent Sports Games", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yeh_Diverse_Generation_for_Multi-Agent_Sports_Games_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Raymond A. Yeh; Alexander G. Schwing; Jonathan Huang; Kevin Murphy", + "aff": "University of Illinois at Urbana-Champaign; \u2020Google Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yeh_Diverse_Generation_for_Multi-Agent_Sports_Games_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kim_Diversify_and_Match_A_Domain_Adaptive_Representation_Learning_Paradigm_for_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Taekyung Kim; Minki Jeong; Seunghyeon Kim; Seokeon Choi; Changick Kim", + "aff": "Korea Advanced Institute of Science and Technology, Daejeon, Korea", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kim_Diversify_and_Match_A_Domain_Adaptive_Representation_Learning_Paradigm_for_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Divide and Conquer the Embedding Space for Metric Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://bit.ly/dcesml", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Sanakoyeu_Divide_and_Conquer_the_Embedding_Space_for_Metric_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Artsiom Sanakoyeu; Vadim Tschernezki; Uta B\u00c3\u00bcchler; Bj\u00c3\u00b6rn Ommer", + "aff": "Heidelberg Collaboratory for Image Processing, IWR, Heidelberg University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Sanakoyeu_Divide_and_Conquer_the_Embedding_Space_for_Metric_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Do Better ImageNet Models Transfer Better?", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kornblith_Do_Better_ImageNet_Models_Transfer_Better_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Simon Kornblith; Jonathon Shlens; Quoc V. Le", + "aff": "Google Brain", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kornblith_Do_Better_ImageNet_Models_Transfer_Better_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Does Learning Specific Features for Related Parts Help Human Pose Estimation?", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tang_Does_Learning_Specific_Features_for_Related_Parts_Help_Human_Pose_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wei Tang; Ying Wu", + "aff": "Northwestern University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tang_Does_Learning_Specific_Features_for_Related_Parts_Help_Human_Pose_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Domain Generalization by Solving Jigsaw Puzzles", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Carlucci_Domain_Generalization_by_Solving_Jigsaw_Puzzles_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Fabio M. Carlucci; Antonio D'Innocente; Silvia Bucci; Barbara Caputo; Tatiana Tommasi", + "aff": "University of Rome Sapienza, Italy; Huawei, London; Politecnico di Torino, Italy; Italian Institute of Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Carlucci_Domain_Generalization_by_Solving_Jigsaw_Puzzles_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Domain-Specific Batch Normalization for Unsupervised Domain Adaptation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chang_Domain-Specific_Batch_Normalization_for_Unsupervised_Domain_Adaptation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Woong-Gi Chang; Tackgeun You; Seonguk Seo; Suha Kwak; Bohyung Han", + "aff": "Computer Vision Lab., ECE & ASRI, Seoul National University, Korea; Computer Vision Lab., CSE, POSTECH, Korea", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chang_Domain-Specific_Batch_Normalization_for_Unsupervised_Domain_Adaptation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Domain-Symmetric Networks for Adversarial Domain Adaptation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Domain-Symmetric_Networks_for_Adversarial_Domain_Adaptation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yabin Zhang; Hui Tang; Kui Jia; Mingkui Tan", + "aff": "South China University of Technology, DAMO Academy, Alibaba Group; South China University of Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Domain-Symmetric_Networks_for_Adversarial_Domain_Adaptation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Doodle to Search: Practical Zero-Shot Sketch-Based Image Retrieval", + "status": "Oral", + "site": "", + "track": "main", + "project": "http://dag.cvc.uab.es/doodle2search/", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Dey_Doodle_to_Search_Practical_Zero-Shot_Sketch-Based_Image_Retrieval_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Sounak Dey; Pau Riba; Anjan Dutta; Josep Llad\u00c3\u00b3s; Yi-Zhe Song", + "aff": "SketchX, CVSSP, University of Surrey, UK; Computer Vision Center, UAB, Spain", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Dey_Doodle_to_Search_Practical_Zero-Shot_Sketch-Based_Image_Retrieval_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Piao_Double_Nuclear_Norm_Based_Low_Rank_Representation_on_Grassmann_Manifolds_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xinglin Piao; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin", + "aff": "Discipline of Business Analytics, The University of Sydney Business School, The University of Sydney, Camperdown NSW 2006, Australia; Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, China; Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Faculty of Information Technology, Beijing University of Technology, China; Peng Cheng Laboratory, China; Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, China; Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Faculty of Information Technology, Beijing University of Technology, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Piao_Double_Nuclear_Norm_Based_Low_Rank_Representation_on_Grassmann_Manifolds_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Douglas-Rachford Networks: Learning Both the Image Prior and Data Fidelity Terms for Blind Image Deconvolution", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Aljadaany_Douglas-Rachford_Networks_Learning_Both_the_Image_Prior_and_Data_Fidelity_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Raied Aljadaany; Dipan K. Pal; Marios Savvides", + "aff": "Dept. of Electrical and Computer Engineering, Carnegie Mellon University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Aljadaany_Douglas-Rachford_Networks_Learning_Both_the_Image_Prior_and_Data_Fidelity_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://drivingstereo-dataset.github.io", + "github": "https://github.com/drivingstereo-dataset", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yang_DrivingStereo_A_Large-Scale_Dataset_for_Stereo_Matching_in_Autonomous_Driving_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Guorun Yang; Xiao Song; Chaoqin Huang; Zhidong Deng; Jianping Shi; Bolei Zhou", + "aff": "The Chinese University of Hong Kong; SenseTime Group Limited; Department of Computer Science and Technology, Tsinghua University; Shanghai Jiao Tong University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yang_DrivingStereo_A_Large-Scale_Dataset_for_Stereo_Matching_in_Autonomous_Driving_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "DuDoNet: Dual Domain Network for CT Metal Artifact Reduction", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lin_DuDoNet_Dual_Domain_Network_for_CT_Metal_Artifact_Reduction_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wei-An Lin; Haofu Liao; Cheng Peng; Xiaohang Sun; Jingdan Zhang; Jiebo Luo; Rama Chellappa; Shaohua Kevin Zhou", + "aff": "University of Maryland, College Park; University of Rochester; Chinese Academy of Sciences, Peng Cheng Laboratory, Shenzhen; Princeton University; Z2W Corporation", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lin_DuDoNet_Dual_Domain_Network_for_CT_Metal_Artifact_Reduction_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "DuLa-Net: A Dual-Projection Network for Estimating Room Layouts From a Single RGB Panorama", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yang_DuLa-Net_A_Dual-Projection_Network_for_Estimating_Room_Layouts_From_a_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Shang-Ta Yang; Fu-En Wang; Chi-Han Peng; Peter Wonka; Min Sun; Hung-Kuo Chu", + "aff": "1National Tsing Hua University; 1National Tsing Hua University, 2KAUST; 2KAUST", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yang_DuLa-Net_A_Dual-Projection_Network_for_Estimating_Room_Layouts_From_a_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Dual Attention Network for Scene Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/junfu1115/DANet/", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Fu_Dual_Attention_Network_for_Scene_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jun Fu; Jing Liu; Haijie Tian; Yong Li; Yongjun Bao; Zhiwei Fang; Hanqing Lu", + "aff": "Business Growth BU, JD.com; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Fu_Dual_Attention_Network_for_Scene_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Dual Encoding for Zero-Example Video Retrieval", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Dong_Dual_Encoding_for_Zero-Example_Video_Retrieval_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jianfeng Dong; Xirong Li; Chaoxi Xu; Shouling Ji; Yuan He; Gang Yang; Xun Wang", + "aff": "Alibaba Group; College of Computer and Information Engineering, Zhejiang Gongshang University; Key Lab of Data Engineering and Knowledge Engineering, Renmin University of China; AI & Media Computing Lab, School of Information, Renmin University of China; College of Computer Science, Zhejiang University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Dong_Dual_Encoding_for_Zero-Example_Video_Retrieval_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Dual_Residual_Networks_Leveraging_the_Potential_of_Paired_Operations_for_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xing Liu; Masanori Suganuma; Zhun Sun; Takayuki Okatani", + "aff": "Graduate School of Information Sciences, Tohoku University; RIKEN Center for AIP", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Dual_Residual_Networks_Leveraging_the_Potential_of_Paired_Operations_for_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "DynTypo: Example-Based Dynamic Text Effects Transfer", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Men_DynTypo_Example-Based_Dynamic_Text_Effects_Transfer_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yifang Men; Zhouhui Lian; Yingmin Tang; Jianguo Xiao", + "aff": "Institute of Computer Science and Technology, Peking University, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Men_DynTypo_Example-Based_Dynamic_Text_Effects_Transfer_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Gao_Dynamic_Fusion_With_Intra-_and_Inter-Modality_Attention_Flow_for_Visual_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Peng Gao; Zhengkai Jiang; Haoxuan You; Pan Lu; Steven C. H. Hoi; Xiaogang Wang; Hongsheng Li", + "aff": "CUHK-SenseTime Joint Lab, The Chinese University of Hong Kong; Tsinghua University; Singapore Management University; NLPR, CASIA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Gao_Dynamic_Fusion_With_Intra-_and_Inter-Modality_Attention_Flow_for_Visual_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Dynamic Recursive Neural Network", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Guo_Dynamic_Recursive_Neural_Network_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Qiushan Guo; Zhipeng Yu; Yichao Wu; Ding Liang; Haoyu Qin; Junjie Yan", + "aff": "", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Guo_Dynamic_Recursive_Neural_Network_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Dynamic Scene Deblurring With Parameter Selective Sharing and Nested Skip Connections", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Gao_Dynamic_Scene_Deblurring_With_Parameter_Selective_Sharing_and_Nested_Skip_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hongyun Gao; Xin Tao; Xiaoyong Shen; Jiaya Jia", + "aff": "1The Chinese University of Hong Kong; 2Youtu Lab, Tencent; 1The Chinese University of Hong Kong2Youtu Lab, Tencent", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Gao_Dynamic_Scene_Deblurring_With_Parameter_Selective_Sharing_and_Nested_Skip_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Dynamics Are Important for the Recognition of Equine Pain in Video", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Broome_Dynamics_Are_Important_for_the_Recognition_of_Equine_Pain_in_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Sofia Broom\u00c3\u00a9; Karina Bech Gleerup; Pia Haubro Andersen; Hedvig Kjellstr\u00c3\u00b6m", + "aff": "Section for Medicine and Surgery, University of Copenhagen, Denmark; Deptartment of Clinical Sciences, Swedish University of Agricultural Sciences, Sweden; Division of Robotics, Perception, and Learning, KTH Royal Institute of Technology, Sweden", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Broome_Dynamics_Are_Important_for_the_Recognition_of_Equine_Pain_in_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "ECC: Platform-Independent Energy-Constrained Deep Neural Network Compression via a Bilinear Regression Model", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yang_ECC_Platform-Independent_Energy-Constrained_Deep_Neural_Network_Compression_via_a_Bilinear_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Haichuan Yang; Yuhao Zhu; Ji Liu", + "aff": "Kwai Seattle AI Lab, Seattle, USA; University of Rochester, Rochester, USA; University of Rochester, Rochester, USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yang_ECC_Platform-Independent_Energy-Constrained_Deep_Neural_Network_Compression_via_a_Bilinear_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ren_EIGEN_Ecologically-Inspired_GENetic_Approach_for_Neural_Network_Structure_Searching_From_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jian Ren; Zhe Li; Jianchao Yang; Ning Xu; Tianbao Yang; David J. Foran", + "aff": "The University of Iowa; Bytedance AI Lab; Rutgers University; Amazon Go", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ren_EIGEN_Ecologically-Inspired_GENetic_Approach_for_Neural_Network_Structure_Searching_From_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "ELASTIC: Improving CNNs With Dynamic Scaling Policies", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/allenai/elastic", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_ELASTIC_Improving_CNNs_With_Dynamic_Scaling_Policies_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Huiyu Wang; Aniruddha Kembhavi; Ali Farhadi; Alan L. Yuille; Mohammad Rastegari", + "aff": "PRIOR @ Allen Institute for AI; University of Washington; Johns Hopkins University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_ELASTIC_Improving_CNNs_With_Dynamic_Scaling_Policies_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "ESIR: End-To-End Scene Text Recognition via Iterative Image Rectification", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhan_ESIR_End-To-End_Scene_Text_Recognition_via_Iterative_Image_Rectification_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Fangneng Zhan; Shijian Lu", + "aff": "Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhan_ESIR_End-To-End_Scene_Text_Recognition_via_Iterative_Image_Rectification_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/sacmehta/ESPNetv2", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Mehta_ESPNetv2_A_Light-Weight_Power_Efficient_and_General_Purpose_Convolutional_Neural_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Sachin Mehta; Mohammad Rastegari; Linda Shapiro; Hannaneh Hajishirzi", + "aff": "University of Washington; Allen Institute for AI (AI2)", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Mehta_ESPNetv2_A_Light-Weight_Power_Efficient_and_General_Purpose_Convolutional_Neural_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "EV-Gait: Event-Based Robust Gait Recognition Using Dynamic Vision Sensors", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_EV-Gait_Event-Based_Robust_Gait_Recognition_Using_Dynamic_Vision_Sensors_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yanxiang Wang; Bowen Du; Yiran Shen; Kai Wu; Guangrong Zhao; Jianguo Sun; Hongkai Wen", + "aff": "Harbin Engineering University; Fudan University; Data61 CSIRO; University of Warwick", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_EV-Gait_Event-Based_Robust_Gait_Recognition_Using_Dynamic_Vision_Sensors_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Edge-Labeling Graph Neural Network for Few-Shot Learning", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kim_Edge-Labeling_Graph_Neural_Network_for_Few-Shot_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jongmin Kim; Taesup Kim; Sungwoong Kim; Chang D. Yoo", + "aff": "1Korea Advanced Institute of Science and Technology; 2MILA, Universit\u00e9 de Montr\u00e9al; 3Kakao Brain", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kim_Edge-Labeling_Graph_Neural_Network_for_Few-Shot_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Effective Aesthetics Prediction With Multi-Level Spatially Pooled Features", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hosu_Effective_Aesthetics_Prediction_With_Multi-Level_Spatially_Pooled_Features_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Vlad Hosu; Bastian Goldl\u00c3\u00bccke; Dietmar Saupe", + "aff": "University of Konstanz, Germany", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hosu_Effective_Aesthetics_Prediction_With_Multi-Level_Spatially_Pooled_Features_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Dong_Efficient_Decision-Based_Black-Box_Adversarial_Attacks_on_Face_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yinpeng Dong; Hang Su; Baoyuan Wu; Zhifeng Li; Wei Liu; Tong Zhang; Jun Zhu", + "aff": "Tencent AI Lab; Hong Kong University of Science and Technology; Dept. of Comp. Sci. and Tech., BNRist Center, State Key Lab for Intell. Tech. & Sys., Institute for AI, THBI Lab, Tsinghua University, Beijing, 100084, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Dong_Efficient_Decision-Based_Black-Box_Adversarial_Attacks_on_Face_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Efficient Featurized Image Pyramid Network for Single Shot Detector", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Pang_Efficient_Featurized_Image_Pyramid_Network_for_Single_Shot_Detector_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yanwei Pang; Tiancai Wang; Rao Muhammad Anwer; Fahad Shahbaz Khan; Ling Shao", + "aff": "Inception Institute of Arti\ufb01cial Intelligence, UAE; Inception Institute of Arti\ufb01cial Intelligence, UAE and Computer Vision Laboratory, Department of Electrical Engineering, Link\u00f6ping University, Sweden; School of Electrical and Information Engineering, Tianjin University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Pang_Efficient_Featurized_Image_Pyramid_Network_for_Single_Shot_Detector_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Efficient Multi-Domain Learning by Covariance Normalization", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Efficient_Multi-Domain_Learning_by_Covariance_Normalization_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yunsheng Li; Nuno Vasconcelos", + "aff": "University of California San Diego", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Efficient_Multi-Domain_Learning_by_Covariance_Normalization_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Efficient Neural Network Compression", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kim_Efficient_Neural_Network_Compression_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hyeji Kim; Muhammad Umar Karim Khan; Chong-Min Kyung", + "aff": "Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kim_Efficient_Neural_Network_Compression_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Efficient Online Multi-Person 2D Pose Tracking With Recurrent Spatio-Temporal Affinity Fields", + "status": "Oral", + "site": "", + "track": "main", + "project": "http://posetrack.net/", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Raaj_Efficient_Online_Multi-Person_2D_Pose_Tracking_With_Recurrent_Spatio-Temporal_Affinity_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yaadhav Raaj; Haroon Idrees; Gines Hidalgo; Yaser Sheikh", + "aff": "The Robotics Institute, Carnegie Mellon University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Raaj_Efficient_Online_Multi-Person_2D_Pose_Tracking_With_Recurrent_Spatio-Temporal_Affinity_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Efficient Parameter-Free Clustering Using First Neighbor Relations", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Sarfraz_Efficient_Parameter-Free_Clustering_Using_First_Neighbor_Relations_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Saquib Sarfraz; Vivek Sharma; Rainer Stiefelhagen", + "aff": "Karlsruhe Institute of Technology; Karlsruhe Institute of Technology, Daimler TSS, Germany", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Sarfraz_Efficient_Parameter-Free_Clustering_Using_First_Neighbor_Relations_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Efficient Video Classification Using Fewer Frames", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Bhardwaj_Efficient_Video_Classification_Using_Fewer_Frames_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Shweta Bhardwaj; Mukundhan Srinivasan; Mitesh M. Khapra", + "aff": "NVIDIA Bangalore; Indian Institute of Technology Madras and Robert Bosch Centre for Data Science and AI (RBC-DSAI)", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Bhardwaj_Efficient_Video_Classification_Using_Fewer_Frames_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Elastic Boundary Projection for 3D Medical Image Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/twni2016/EBP", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ni_Elastic_Boundary_Projection_for_3D_Medical_Image_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Tianwei Ni; Lingxi Xie; Huangjie Zheng; Elliot K. Fishman; Alan L. Yuille", + "aff": "Johns Hopkins University, Noah\u2019s Ark Lab, Huawei Inc.; Johns Hopkins University; Peking University; Johns Hopkins Medical Institute; Shanghai Jiao Tong University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ni_Elastic_Boundary_Projection_for_3D_Medical_Image_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Eliminating Exposure Bias and Metric Mismatch in Multiple Object Tracking", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Maksai_Eliminating_Exposure_Bias_and_Metric_Mismatch_in_Multiple_Object_Tracking_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Andrii Maksai; Pascal Fua", + "aff": "Computer Vision Laboratory, Ecole Polytechnique Federale de Lausanne (EPFL)", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Maksai_Eliminating_Exposure_Bias_and_Metric_Mismatch_in_Multiple_Object_Tracking_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Embedding Complementary Deep Networks for Image Classification", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Embedding_Complementary_Deep_Networks_for_Image_Classification_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Qiuyu Chen; Wei Zhang; Jun Yu; Jianping Fan", + "aff": "Department of Computer Science, University of North Carolina at Charlotte, USA; School of Computer Science and Technology, Hangzhou Dianzi University, China; Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Embedding_Complementary_Deep_Networks_for_Image_Classification_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Embodied Question Answering in Photorealistic Environments With Point Cloud Perception", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wijmans_Embodied_Question_Answering_in_Photorealistic_Environments_With_Point_Cloud_Perception_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Erik Wijmans; Samyak Datta; Oleksandr Maksymets; Abhishek Das; Georgia Gkioxari; Stefan Lee; Irfan Essa; Devi Parikh; Dhruv Batra", + "aff": "Georgia Institute of Technology and Facebook AI Research; Georgia Institute of Technology; Facebook AI Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wijmans_Embodied_Question_Answering_in_Photorealistic_Environments_With_Point_Cloud_Perception_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Emotion-Aware Human Attention Prediction", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Cordel_Emotion-Aware_Human_Attention_Prediction_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Macario O. Cordel II; Shaojing Fan; Zhiqi Shen; Mohan S. Kankanhalli", + "aff": "National University of Singapore; De La Salle University \u2013 Manila", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Cordel_Emotion-Aware_Human_Attention_Prediction_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "End-To-End Efficient Representation Learning via Cascading Combinatorial Optimization", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Jeong_End-To-End_Efficient_Representation_Learning_via_Cascading_Combinatorial_Optimization_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yeonwoo Jeong; Yoonsung Kim; Hyun Oh Song", + "aff": "Department of Computer Science and Engineering, Seoul National University, Seoul, Korea", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Jeong_End-To-End_Efficient_Representation_Learning_via_Cascading_Combinatorial_Optimization_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "End-To-End Interpretable Neural Motion Planner", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zeng_End-To-End_Interpretable_Neural_Motion_Planner_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wenyuan Zeng; Wenjie Luo; Simon Suo; Abbas Sadat; Bin Yang; Sergio Casas; Raquel Urtasun", + "aff": "Uber Advanced Technologies Group, University of Toronto", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zeng_End-To-End_Interpretable_Neural_Motion_Planner_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "End-To-End Learned Random Walker for Seeded Image Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Cerrone_End-To-End_Learned_Random_Walker_for_Seeded_Image_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Lorenzo Cerrone; Alexander Zeilmann; Fred A. Hamprecht", + "aff": "Heidelberg Collaboratory for Image Processing, IWR, Heidelberg University, Germany", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Cerrone_End-To-End_Learned_Random_Walker_for_Seeded_Image_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "End-To-End Multi-Task Learning With Attention", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/lorenmt/mtan", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_End-To-End_Multi-Task_Learning_With_Attention_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Shikun Liu; Edward Johns; Andrew J. Davison", + "aff": "Department of Computing, Imperial College London", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_End-To-End_Multi-Task_Learning_With_Attention_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "End-To-End Projector Photometric Compensation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Huang_End-To-End_Projector_Photometric_Compensation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Bingyao Huang; Haibin Ling", + "aff": "Department of Computer and Information Sciences, Temple University, Philadelphia, PA USA; Meitu HiScene Lab, HiScene Information Technologies, Shanghai, China; Department of Computer and Information Sciences, Temple University, Philadelphia, PA USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Huang_End-To-End_Projector_Photometric_Compensation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "End-To-End Supervised Product Quantization for Image Search and Retrieval", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Klein_End-To-End_Supervised_Product_Quantization_for_Image_Search_and_Retrieval_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Benjamin Klein; Lior Wolf", + "aff": "The Blavatnik School of Computer Science, Tel Aviv University, Israel; Facebook AI Research; The Blavatnik School of Computer Science, Tel Aviv University, Israel", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Klein_End-To-End_Supervised_Product_Quantization_for_Image_Search_and_Retrieval_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "End-To-End Time-Lapse Video Synthesis From a Single Outdoor Image", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Nam_End-To-End_Time-Lapse_Video_Synthesis_From_a_Single_Outdoor_Image_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Seonghyeon Nam; Chongyang Ma; Menglei Chai; William Brendel; Ning Xu; Seon Joo Kim", + "aff": "Snap Inc.; Amazon Go; Yonsei University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Nam_End-To-End_Time-Lapse_Video_Synthesis_From_a_Single_Outdoor_Image_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Engaging Image Captioning via Personality", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Shuster_Engaging_Image_Captioning_via_Personality_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kurt Shuster; Samuel Humeau; Hexiang Hu; Antoine Bordes; Jason Weston", + "aff": "Facebook AI Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Shuster_Engaging_Image_Captioning_via_Personality_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Enhanced Bayesian Compression via Deep Reinforcement Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yuan_Enhanced_Bayesian_Compression_via_Deep_Reinforcement_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xin Yuan; Liangliang Ren; Jiwen Lu; Jie Zhou", + "aff": "Department of Automation, Tsinghua University; State Key Lab of Intelligent Technologies and Systems, Tsinghua University; Beijing National Research Center for Information Science and Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yuan_Enhanced_Bayesian_Compression_via_Deep_Reinforcement_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Enhanced Pix2pix Dehazing Network", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Qu_Enhanced_Pix2pix_Dehazing_Network_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yanyun Qu; Yizi Chen; Jingying Huang; Yuan Xie", + "aff": "Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, Fujian, China; School of Computer Science and Software Engineering, East China Normal University, Shanghai, China; Institute of Advanced Artificial Intelligence in Nanjing, Horizon Robotic, Nanjing, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Qu_Enhanced_Pix2pix_Dehazing_Network_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Enhancing Diversity of Defocus Blur Detectors via Cross-Ensemble Network", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhao_Enhancing_Diversity_of_Defocus_Blur_Detectors_via_Cross-Ensemble_Network_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wenda Zhao; Bowen Zheng; Qiuhua Lin; Huchuan Lu", + "aff": "Dalian University of Technology, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhao_Enhancing_Diversity_of_Defocus_Blur_Detectors_via_Cross-Ensemble_Network_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wu_Enhancing_TripleGAN_for_Semi-Supervised_Conditional_Instance_Synthesis_and_Classification_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Si Wu; Guangchang Deng; Jichang Li; Rui Li; Zhiwen Yu; Hau-San Wong", + "aff": "Department of Computer Science, City University of Hong Kong; School of Computer Science and Engineering, South China University of Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wu_Enhancing_TripleGAN_for_Semi-Supervised_Conditional_Instance_Synthesis_and_Classification_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Ensemble Deep Manifold Similarity Learning Using Hard Proxies", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Aziere_Ensemble_Deep_Manifold_Similarity_Learning_Using_Hard_Proxies_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Nicolas Aziere; Sinisa Todorovic", + "aff": "School of EECS, Oregon State University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Aziere_Ensemble_Deep_Manifold_Similarity_Learning_Using_Hard_Proxies_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Estimating 3D Motion and Forces of Person-Object Interactions From Monocular Video", + "status": "Oral", + "site": "", + "track": "main", + "project": "http://www.projectwebpage.com/2", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Estimating_3D_Motion_and_Forces_of_Person-Object_Interactions_From_Monocular_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zongmian Li; Jiri Sedlar; Justin Carpentier; Ivan Laptev; Nicolas Mansard; Josef Sivic", + "aff": "DI ENS PSL, Inria, CIIRC, CTU in Prague; CIIRC, CTU in Prague; LAAS-CNRS; DI ENS PSL, Inria", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Estimating_3D_Motion_and_Forces_of_Person-Object_Interactions_From_Monocular_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Dong_Evading_Defenses_to_Transferable_Adversarial_Examples_by_Translation-Invariant_Attacks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yinpeng Dong; Tianyu Pang; Hang Su; Jun Zhu", + "aff": "Dept. of Comp. Sci. and Tech., BNRist Center, State Key Lab for Intell. Tech. & Sys., Institute for AI, THBI Lab, Tsinghua University, Beijing, 100084, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Dong_Evading_Defenses_to_Transferable_Adversarial_Examples_by_Translation-Invariant_Attacks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Event Cameras, Contrast Maximization and Reward Functions: An Analysis", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Stoffregen_Event_Cameras_Contrast_Maximization_and_Reward_Functions_An_Analysis_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Timo Stoffregen; Lindsay Kleeman", + "aff": "Dept. Electrical and Computer Systems Engineering, Monash University, Australia; Australian Centre of Excellence for Robotic Vision, Australia; Dept. Electrical and Computer Systems Engineering, Monash University, Australia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Stoffregen_Event_Cameras_Contrast_Maximization_and_Reward_Functions_An_Analysis_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Event-Based High Dynamic Range Image and Very High Frame Rate Video Generation Using Conditional Generative Adversarial Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Event-Based_High_Dynamic_Range_Image_and_Very_High_Frame_Rate_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Lin Wang; S. Mohammad Mostafavi I.; Yo-Sung Ho; Kuk-Jin Yoon", + "aff": "Computer Vision Laboratory, Dept. EECS, GIST, Korea; Visual Intelligence Laboratory, Dept. Mechanical Engineering, KAIST, Korea", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Event-Based_High_Dynamic_Range_Image_and_Very_High_Frame_Rate_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "EventNet: Asynchronous Recursive Event Processing", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Sekikawa_EventNet_Asynchronous_Recursive_Event_Processing_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yusuke Sekikawa; Kosuke Hara; Hideo Saito", + "aff": "Denso IT Laboratory; Keio University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Sekikawa_EventNet_Asynchronous_Recursive_Event_Processing_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Events-To-Video: Bringing Modern Computer Vision to Event Cameras", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://youtu.be/IdYrC4cUO0I", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Rebecq_Events-To-Video_Bringing_Modern_Computer_Vision_to_Event_Cameras_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Henri Rebecq; Ren\u00c3\u00a9 Ranftl; Vladlen Koltun; Davide Scaramuzza", + "aff": "Dept. Informatics, Univ. of Zurich and Dept. Neuroinformatics, Univ. of Zurich and ETH Zurich; Intel Labs", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Rebecq_Events-To-Video_Bringing_Modern_Computer_Vision_to_Event_Cameras_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Exact Adversarial Attack to Image Captioning via Structured Output Learning With Latent Variables", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xu_Exact_Adversarial_Attack_to_Image_Captioning_via_Structured_Output_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yan Xu; Baoyuan Wu; Fumin Shen; Yanbo Fan; Yong Zhang; Heng Tao Shen; Wei Liu", + "aff": "\u2020Tencent AI Lab; \u2021University of Electronic Science and Technology of China; \u2020Tencent AI Lab,\u2021University of Electronic Science and Technology of China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xu_Exact_Adversarial_Attack_to_Image_Captioning_via_Structured_Output_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Example-Guided Style-Consistent Image Synthesis From Semantic Labeling", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Example-Guided_Style-Consistent_Image_Synthesis_From_Semantic_Labeling_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Miao Wang; Guo-Ye Yang; Ruilong Li; Run-Ze Liang; Song-Hai Zhang; Peter M. Hall; Shi-Min Hu", + "aff": "Department of Computer Science and Technology, Tsinghua University, Beijing; University of Bath; Department of Computer Science and Technology, Tsinghua University, Beijing; State Key Laboratory of Virtual Reality Technology and Systems, Beihang University; State Key Laboratory of Virtual Reality Technology and Systems, Beihang University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Example-Guided_Style-Consistent_Image_Synthesis_From_Semantic_Labeling_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Explainability Methods for Graph Convolutional Neural Networks", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Pope_Explainability_Methods_for_Graph_Convolutional_Neural_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Phillip E. Pope; Soheil Kolouri; Mohammad Rostami; Charles E. Martin; Heiko Hoffmann", + "aff": "HRL Laboratories, LLC", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Pope_Explainability_Methods_for_Graph_Convolutional_Neural_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Explainable and Explicit Visual Reasoning Over Scene Graphs", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Shi_Explainable_and_Explicit_Visual_Reasoning_Over_Scene_Graphs_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jiaxin Shi; Hanwang Zhang; Juanzi Li", + "aff": "Tsinghua University; Nanyang Technological University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Shi_Explainable_and_Explicit_Visual_Reasoning_Over_Scene_Graphs_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Explicit Bias Discovery in Visual Question Answering Models", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Manjunatha_Explicit_Bias_Discovery_in_Visual_Question_Answering_Models_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Varun Manjunatha; Nirat Saini; Larry S. Davis", + "aff": "Adobe Research; University of Maryland, College Park", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Manjunatha_Explicit_Bias_Discovery_in_Visual_Question_Answering_Models_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Explicit Spatial Encoding for Deep Local Descriptors", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Mukundan_Explicit_Spatial_Encoding_for_Deep_Local_Descriptors_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Arun Mukundan; Giorgos Tolias; Ond\u00c5\u0099ej Chum", + "aff": "Visual Recognition Group, FEE, CTU in Prague", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Mukundan_Explicit_Spatial_Encoding_for_Deep_Local_Descriptors_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Exploiting Edge Features for Graph Neural Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Gong_Exploiting_Edge_Features_for_Graph_Neural_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Liyu Gong; Qiang Cheng", + "aff": "Department of Computer Science, University of Kentucky, Lexington, USA; Institute for Biomedical Informatics, University of Kentucky, Lexington, USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Gong_Exploiting_Edge_Features_for_Graph_Neural_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Exploiting_Kernel_Sparsity_and_Entropy_for_Interpretable_CNN_Compression_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yuchao Li; Shaohui Lin; Baochang Zhang; Jianzhuang Liu; David Doermann; Yongjian Wu; Feiyue Huang; Rongrong Ji", + "aff": "", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Exploiting_Kernel_Sparsity_and_Entropy_for_Interpretable_CNN_Compression_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Exploiting Temporal Context for 3D Human Pose Estimation in the Wild", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Arnab_Exploiting_Temporal_Context_for_3D_Human_Pose_Estimation_in_the_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Anurag Arnab; Carl Doersch; Andrew Zisserman", + "aff": "DeepMind; University of Oxford, DeepMind; University of Oxford", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Arnab_Exploiting_Temporal_Context_for_3D_Human_Pose_Estimation_in_the_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Explore-Exploit Graph Traversal for Image Retrieval", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/layer6ai-labs/egt", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chang_Explore-Exploit_Graph_Traversal_for_Image_Retrieval_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Cheng Chang; Guangwei Yu; Chundi Liu; Maksims Volkovs", + "aff": "Layer6 AI", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chang_Explore-Exploit_Graph_Traversal_for_Image_Retrieval_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Exploring Context and Visual Pattern of Relationship for Scene Graph Generation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Exploring_Context_and_Visual_Pattern_of_Relationship_for_Scene_Graph_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wenbin Wang; Ruiping Wang; Shiguang Shan; Xilin Chen", + "aff": "Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, 100190, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Peng Cheng Laboratory, Shenzhen, 518055, China; Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing, 100190, China; University of Chinese Academy of Sciences, Beijing, 100049, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Exploring_Context_and_Visual_Pattern_of_Relationship_for_Scene_Graph_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Exploring Object Relation in Mean Teacher for Cross-Domain Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Cai_Exploring_Object_Relation_in_Mean_Teacher_for_Cross-Domain_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Qi Cai; Yingwei Pan; Chong-Wah Ngo; Xinmei Tian; Lingyu Duan; Ting Yao", + "aff": "City University of Hong Kong, Kowloon, Hong Kong; University of Science and Technology of China, Hefei, China; JD AI Research, Beijing, China; Peking University, Beijing, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Cai_Exploring_Object_Relation_in_Mean_Teacher_for_Cross-Domain_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Exploring the Bounds of the Utility of Context for Object Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Barnea_Exploring_the_Bounds_of_the_Utility_of_Context_for_Object_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ehud Barnea; Ohad Ben-Shahar", + "aff": "Dept. of Computer Science, Ben-Gurion University, Beer-Sheva, Israel", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Barnea_Exploring_the_Bounds_of_the_Utility_of_Context_for_Object_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Expressive Body Capture: 3D Hands, Face, and Body From a Single Image", + "status": "Oral", + "site": "", + "track": "main", + "project": "https://smpl-x.is.tue.mpg.de", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Pavlakos_Expressive_Body_Capture_3D_Hands_Face_and_Body_From_a_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Georgios Pavlakos; Vasileios Choutas; Nima Ghorbani; Timo Bolkart; Ahmed A. A. Osman; Dimitrios Tzionas; Michael J. Black", + "aff": "MPI for Intelligent Systems, T\u00fcbingen, DE; MPI for Intelligent Systems, T\u00fcbingen, DE and University of Pennsylvania, PA, USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Pavlakos_Expressive_Body_Capture_3D_Hands_Face_and_Body_From_a_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yang_Extreme_Relative_Pose_Estimation_for_RGB-D_Scans_via_Scene_Completion_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhenpei Yang; Jeffrey Z. Pan; Linjie Luo; Xiaowei Zhou; Kristen Grauman; Qixing Huang", + "aff": "ByteDance AI Lab; Phillips Academy Andover; Zhejiang University\u2217; UT Austin; UT Austin\u2020", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yang_Extreme_Relative_Pose_Estimation_for_RGB-D_Scans_via_Scene_Completion_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xian_F-VAEGAN-D2_A_Feature_Generating_Framework_for_Any-Shot_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yongqin Xian; Saurabh Sharma; Bernt Schiele; Zeynep Akata", + "aff": "Max Planck Institute for Informatics, Amsterdam Machine Learning Lab, Saarland Informatics Campus University of Amsterdam; Max Planck Institute for Informatics", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xian_F-VAEGAN-D2_A_Feature_Generating_Framework_for_Any-Shot_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "FA-RPN: Floating Region Proposals for Face Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Najibi_FA-RPN_Floating_Region_Proposals_for_Face_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Mahyar Najibi; Bharat Singh; Larry S. Davis", + "aff": "University of Maryland, College Park", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Najibi_FA-RPN_Floating_Region_Proposals_for_Face_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/facebookresearch/mobile-vision", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wu_FBNet_Hardware-Aware_Efficient_ConvNet_Design_via_Differentiable_Neural_Architecture_Search_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Bichen Wu; Xiaoliang Dai; Peizhao Zhang; Yanghan Wang; Fei Sun; Yiming Wu; Yuandong Tian; Peter Vajda; Yangqing Jia; Kurt Keutzer", + "aff": "Facebook Inc.; Princeton University; UC Berkeley", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wu_FBNet_Hardware-Aware_Efficient_ConvNet_Design_via_Differentiable_Neural_Architecture_Search_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/tensorflow/models/tree/master/research/feelvos", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Voigtlaender_FEELVOS_Fast_End-To-End_Embedding_Learning_for_Video_Object_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Paul Voigtlaender; Yuning Chai; Florian Schroff; Hartwig Adam; Bastian Leibe; Liang-Chieh Chen", + "aff": "Google Inc.; RWTH Aachen University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Voigtlaender_FEELVOS_Fast_End-To-End_Embedding_Learning_for_Video_Object_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "FML: Face Model Learning From Videos", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tewari_FML_Face_Model_Learning_From_Videos_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ayush Tewari; Florian Bernard; Pablo Garrido; Gaurav Bharaj; Mohamed Elgharib; Hans-Peter Seidel; Patrick P\u00c3\u00a9rez; Michael Zollh\u00c3\u00b6fer; Christian Theobalt", + "aff": "Stanford University; Valeo.ai; Technicolor; MPI Informatics, Saarland Informatics Campus", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tewari_FML_Face_Model_Learning_From_Videos_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "FOCNet: A Fractional Optimal Control Network for Image Denoising", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Jia_FOCNet_A_Fractional_Optimal_Control_Network_for_Image_Denoising_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xixi Jia; Sanyang Liu; Xiangchu Feng; Lei Zhang", + "aff": "Dept. of Computing, The Hong Kong Polytechnic University, Hong Kong, China and DAMO Academy, Alibaba Group; School of Mathematics and Statistics, Xidian University, Xi'an, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Jia_FOCNet_A_Fractional_Optimal_Control_Network_for_Image_Denoising_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation From a Single Image", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yang_FSA-Net_Learning_Fine-Grained_Structure_Aggregation_for_Head_Pose_Estimation_From_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Tsun-Yi Yang; Yi-Ting Chen; Yen-Yu Lin; Yung-Yu Chuang", + "aff": "1. Academia Sinica, Taiwan; 2. National Taiwan University, Taiwan; 1. Academia Sinica, Taiwan", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yang_FSA-Net_Learning_Fine-Grained_Structure_Aggregation_for_Head_Pose_Estimation_From_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Face Anti-Spoofing: Model Matters, so Does Data", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yang_Face_Anti-Spoofing_Model_Matters_so_Does_Data_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiao Yang; Wenhan Luo; Linchao Bao; Yuan Gao; Dihong Gong; Shibao Zheng; Zhifeng Li; Wei Liu", + "aff": "Tencent AI Lab, Shenzhen, China; Department of Electronic Engineering, Shanghai Jiao Tong University, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yang_Face_Anti-Spoofing_Model_Matters_so_Does_Data_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Face Parsing With RoI Tanh-Warping", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lin_Face_Parsing_With_RoI_Tanh-Warping_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jinpeng Lin; Hao Yang; Dong Chen; Ming Zeng; Fang Wen; Lu Yuan", + "aff": "Microsoft Research; Software School of Xiamen University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lin_Face_Parsing_With_RoI_Tanh-Warping_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Face-Focused Cross-Stream Network for Deception Detection in Videos", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ding_Face-Focused_Cross-Stream_Network_for_Deception_Detection_in_Videos_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Mingyu Ding; An Zhao; Zhiwu Lu; Tao Xiang; Ji-Rong Wen", + "aff": "Beijing Key Laboratory of Big Data Management and Analysis Methods, School of Information, Renmin University of China, Beijing 100872, China; Department of Electrical and Electronic Engineering, University of Surrey, UK; Samsung AI Centre, Cambridge, UK", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ding_Face-Focused_Cross-Stream_Network_for_Deception_Detection_in_Videos_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Facial Emotion Distribution Learning by Exploiting Low-Rank Label Correlations Locally", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Jia_Facial_Emotion_Distribution_Learning_by_Exploiting_Low-Rank_Label_Correlations_Locally_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiuyi Jia; Xiang Zheng; Weiwei Li; Changqing Zhang; Zechao Li", + "aff": "College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, China; School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China; State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China; College of Intelligence and Computing, Tianjin University, Tianjin, China; School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Jia_Facial_Emotion_Distribution_Learning_by_Exploiting_Low-Rank_Label_Correlations_Locally_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Factor Graph Attention", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Schwartz_Factor_Graph_Attention_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Idan Schwartz; Seunghak Yu; Tamir Hazan; Alexander G. Schwing", + "aff": "Technion; MIT CSAIL; UIUC", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Schwartz_Factor_Graph_Attention_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Fast Human Pose Estimation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Fast_Human_Pose_Estimation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Feng Zhang; Xiatian Zhu; Mao Ye", + "aff": "Vision Semantics Limited; School of Computer Science and Engineering, University of Electronic Science and Technology of China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Fast_Human_Pose_Estimation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Fast Interactive Object Annotation With Curve-GCN", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ling_Fast_Interactive_Object_Annotation_With_Curve-GCN_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Huan Ling; Jun Gao; Amlan Kar; Wenzheng Chen; Sanja Fidler", + "aff": "University of Toronto, Vector Institute; University of Toronto, Vector Institute, NVIDIA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ling_Fast_Interactive_Object_Annotation_With_Curve-GCN_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/drsleep/nas-segm-pytorch", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Nekrasov_Fast_Neural_Architecture_Search_of_Compact_Semantic_Segmentation_Models_via_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Vladimir Nekrasov; Hao Chen; Chunhua Shen; Ian Reid", + "aff": "The University of Adelaide, Australia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Nekrasov_Fast_Neural_Architecture_Search_of_Compact_Semantic_Segmentation_Models_via_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Fast Object Class Labelling via Speech", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Gygli_Fast_Object_Class_Labelling_via_Speech_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Michael Gygli; Vittorio Ferrari", + "aff": "Google Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Gygli_Fast_Object_Class_Labelling_via_Speech_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Fast Online Object Tracking and Segmentation: A Unifying Approach", + "status": "Poster", + "site": "", + "track": "main", + "project": "http://www.robots.ox.ac.uk/~qwang/SiamMask", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Fast_Online_Object_Tracking_and_Segmentation_A_Unifying_Approach_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Qiang Wang; Li Zhang; Luca Bertinetto; Weiming Hu; Philip H.S. Torr", + "aff": "CASIA; University of Oxford; Five AI", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Fast_Online_Object_Tracking_and_Segmentation_A_Unifying_Approach_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Fast Single Image Reflection Suppression via Convex Optimization", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/yyhz76/reflectSuppress", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yang_Fast_Single_Image_Reflection_Suppression_via_Convex_Optimization_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yang Yang; Wenye Ma; Yin Zheng; Jian-Feng Cai; Weiyu Xu", + "aff": "Hong Kong University of Science and Technology; Tencent; WeChat Search Application Department, Tencent; University of Iowa", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yang_Fast_Single_Image_Reflection_Suppression_via_Convex_Optimization_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Fast Spatially-Varying Indoor Lighting Estimation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Garon_Fast_Spatially-Varying_Indoor_Lighting_Estimation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Mathieu Garon; Kalyan Sunkavalli; Sunil Hadap; Nathan Carr; Jean-Fran\u00c3\u00a7ois Lalonde", + "aff": "Adobe Research; Universit\u00e8 Laval", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Garon_Fast_Spatially-Varying_Indoor_Lighting_Estimation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Fast Spatio-Temporal Residual Network for Video Super-Resolution", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Fast_Spatio-Temporal_Residual_Network_for_Video_Super-Resolution_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Sheng Li; Fengxiang He; Bo Du; Lefei Zhang; Yonghao Xu; Dacheng Tao", + "aff": "The State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, China; School of Computer Science, Wuhan University, China; UBTECH Sydney AI Centre, SCS, FEIT, the University of Sydney, Australia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Fast_Spatio-Temporal_Residual_Network_for_Video_Super-Resolution_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Fast User-Guided Video Object Segmentation by Interaction-And-Propagation Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Oh_Fast_User-Guided_Video_Object_Segmentation_by_Interaction-And-Propagation_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Seoung Wug Oh; Joon-Young Lee; Ning Xu; Seon Joo Kim", + "aff": "Adobe Research; Yonsei University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Oh_Fast_User-Guided_Video_Object_Segmentation_by_Interaction-And-Propagation_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ritchie_Fast_and_Flexible_Indoor_Scene_Synthesis_via_Deep_Convolutional_Generative_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Daniel Ritchie; Kai Wang; Yu-An Lin", + "aff": "Brown University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ritchie_Fast_and_Flexible_Indoor_Scene_Synthesis_via_Deep_Convolutional_Generative_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Fast and Robust Multi-Person 3D Pose Estimation From Multiple Views", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Dong_Fast_and_Robust_Multi-Person_3D_Pose_Estimation_From_Multiple_Views_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Junting Dong; Wen Jiang; Qixing Huang; Hujun Bao; Xiaowei Zhou", + "aff": "University of Texas at Austin; Zhejiang University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Dong_Fast_and_Robust_Multi-Person_3D_Pose_Estimation_From_Multiple_Views_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Fast, Diverse and Accurate Image Captioning Guided by Part-Of-Speech", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Deshpande_Fast_Diverse_and_Accurate_Image_Captioning_Guided_by_Part-Of-Speech_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Aditya Deshpande; Jyoti Aneja; Liwei Wang; Alexander G. Schwing; David Forsyth", + "aff": "University of Illinois at Urbana Champaign; Tencent AI Lab, Seattle", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Deshpande_Fast_Diverse_and_Accurate_Image_Captioning_Guided_by_Part-Of-Speech_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "FastDraw: Addressing the Long Tail of Lane Detection by Adapting a Sequential Prediction Network", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Philion_FastDraw_Addressing_the_Long_Tail_of_Lane_Detection_by_Adapting_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jonah Philion", + "aff": "ISEE.AI", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Philion_FastDraw_Addressing_the_Long_Tail_of_Lane_Detection_by_Adapting_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Feature Denoising for Improving Adversarial Robustness", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/facebookresearch/ImageNet-Adversarial-Training", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xie_Feature_Denoising_for_Improving_Adversarial_Robustness_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Cihang Xie; Yuxin Wu; Laurens van der Maaten; Alan L. Yuille; Kaiming He", + "aff": "Facebook AI Research; Johns Hopkins University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xie_Feature_Denoising_for_Improving_Adversarial_Robustness_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Feature_Distillation_DNN-Oriented_JPEG_Compression_Against_Adversarial_Examples_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zihao Liu; Qi Liu; Tao Liu; Nuo Xu; Xue Lin; Yanzhi Wang; Wujie Wen", + "aff": "", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Feature_Distillation_DNN-Oriented_JPEG_Compression_Against_Adversarial_Examples_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Feature Selective Anchor-Free Module for Single-Shot Object Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhu_Feature_Selective_Anchor-Free_Module_for_Single-Shot_Object_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chenchen Zhu; Yihui He; Marios Savvides", + "aff": "Carnegie Mellon University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhu_Feature_Selective_Anchor-Free_Module_for_Single-Shot_Object_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Feature Space Perturbations Yield More Transferable Adversarial Examples", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Inkawhich_Feature_Space_Perturbations_Yield_More_Transferable_Adversarial_Examples_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Nathan Inkawhich; Wei Wen; Hai (Helen) Li; Yiran Chen", + "aff": "Duke University, Electrical and Computer Engineering Department, Durham, NC 27708", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Inkawhich_Feature_Space_Perturbations_Yield_More_Transferable_Adversarial_Examples_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Feature Transfer Learning for Face Recognition With Under-Represented Data", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yin_Feature_Transfer_Learning_for_Face_Recognition_With_Under-Represented_Data_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xi Yin; Xiang Yu; Kihyuk Sohn; Xiaoming Liu; Manmohan Chandraker", + "aff": "Michigan State University; University of California, San Diego; NEC Laboratories America", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yin_Feature_Transfer_Learning_for_Face_Recognition_With_Under-Represented_Data_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Feature-Level Frankenstein: Eliminating Variations for Discriminative Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Feature-Level_Frankenstein_Eliminating_Variations_for_Discriminative_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiaofeng Liu; Site Li; Lingsheng Kong; Wanqing Xie; Ping Jia; Jane You; B.V.K. Kumar", + "aff": "CIOMP, Chinese Academy of Sciences, Changchun, China; Harbin Engineering University, Harbin, China; Harvard University, Cambridge, MA, USA; Dept. of Computing, The Hong Kong Polytechnic University, Hong Kong, China; Carnegie Mellon University, Pittsburgh, PA, USA; CIOMP, Chinese Academy of Sciences, Changchun, China; Harvard University, Cambridge, MA, USA; Carnegie Mellon University, Pittsburgh, PA, USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Feature-Level_Frankenstein_Eliminating_Variations_for_Discriminative_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://minyoungg.github.io/feedbackgan", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Huh_Feedback_Adversarial_Learning_Spatial_Feedback_for_Improving_Generative_Adversarial_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Minyoung Huh; Shao-Hua Sun; Ning Zhang", + "aff": "University of Southern California; UC Berkeley; Vaitl Inc.", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Huh_Feedback_Adversarial_Learning_Spatial_Feedback_for_Improving_Generative_Adversarial_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Feedback Network for Image Super-Resolution", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/Paper99/SRFBN_CVPR19", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Feedback_Network_for_Image_Super-Resolution_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhen Li; Jinglei Yang; Zheng Liu; Xiaomin Yang; Gwanggil Jeon; Wei Wu", + "aff": "University of British Columbia; University of California, Santa Barbara; Sichuan University; Incheon National University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Feedback_Network_for_Image_Super-Resolution_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Few-Shot Adaptive Faster R-CNN", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Few-Shot_Adaptive_Faster_R-CNN_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Tao Wang; Xiaopeng Zhang; Li Yuan; Jiashi Feng", + "aff": "1. Department of Electrical and Computer Engineering, National University of Singapore, Singapore; 2. Huawei Noah\u2019s Ark Lab, Shanghai, China; Department of Electrical and Computer Engineering, National University of Singapore, Singapore", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Few-Shot_Adaptive_Faster_R-CNN_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Few-Shot Learning With Localization in Realistic Settings", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wertheimer_Few-Shot_Learning_With_Localization_in_Realistic_Settings_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Davis Wertheimer; Bharath Hariharan", + "aff": "Cornell University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wertheimer_Few-Shot_Learning_With_Localization_in_Realistic_Settings_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Few-Shot Learning via Saliency-Guided Hallucination of Samples", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Few-Shot_Learning_via_Saliency-Guided_Hallucination_of_Samples_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hongguang Zhang; Jing Zhang; Piotr Koniusz", + "aff": "Australian National University, Data61/CSIRO", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Few-Shot_Learning_via_Saliency-Guided_Hallucination_of_Samples_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lee_FickleNet_Weakly_and_Semi-Supervised_Semantic_Image_Segmentation_Using_Stochastic_Inference_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jungbeom Lee; Eunji Kim; Sungmin Lee; Jangho Lee; Sungroh Yoon", + "aff": "Electrical and Computer Engineering, ASRI, INMC, and Institute of Engineering Research, Seoul National University, Seoul 08826, South Korea", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lee_FickleNet_Weakly_and_Semi-Supervised_Semantic_Image_Segmentation_Using_Stochastic_Inference_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/he-y/filter-pruning-geometric-median", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/He_Filter_Pruning_via_Geometric_Median_for_Deep_Convolutional_Neural_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yang He; Ping Liu; Ziwei Wang; Zhilan Hu; Yi Yang", + "aff": "Huawei; JD.com; CAI, University of Technology Sydney; Baidu Research; Information Science Academy, CETC", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/He_Filter_Pruning_via_Geometric_Median_for_Deep_Convolutional_Neural_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "FilterReg: Robust and Efficient Probabilistic Point-Set Registration Using Gaussian Filter and Twist Parameterization", + "status": "Oral", + "site": "", + "track": "main", + "project": "Available on the project page (video demo and source code)", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Gao_FilterReg_Robust_and_Efficient_Probabilistic_Point-Set_Registration_Using_Gaussian_Filter_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wei Gao; Russ Tedrake", + "aff": "Massachusetts Institute of Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Gao_FilterReg_Robust_and_Efficient_Probabilistic_Point-Set_Registration_Using_Gaussian_Filter_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Finding Task-Relevant Features for Few-Shot Learning by Category Traversal", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Finding_Task-Relevant_Features_for_Few-Shot_Learning_by_Category_Traversal_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hongyang Li; David Eigen; Samuel Dodge; Matthew Zeiler; Xiaogang Wang", + "aff": "The Chinese University of Hong Kong, Clarifai Inc.; Clarifai Inc.; The Chinese University of Hong Kong, SenseTime Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Finding_Task-Relevant_Features_for_Few-Shot_Learning_by_Category_Traversal_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/kkanshul/finegan", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Singh_FineGAN_Unsupervised_Hierarchical_Disentanglement_for_Fine-Grained_Object_Generation_and_Discovery_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Krishna Kumar Singh; Utkarsh Ojha; Yong Jae Lee", + "aff": "University of California, Davis", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Singh_FineGAN_Unsupervised_Hierarchical_Disentanglement_for_Fine-Grained_Object_Generation_and_Discovery_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Fitting Multiple Heterogeneous Models by Multi-Class Cascaded T-Linkage", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Magri_Fitting_Multiple_Heterogeneous_Models_by_Multi-Class_Cascaded_T-Linkage_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Luca Magri; Andrea Fusiello", + "aff": "DPIA - Universit`a degli Studi di Udine, Italy", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Magri_Fitting_Multiple_Heterogeneous_Models_by_Multi-Class_Cascaded_T-Linkage_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "FlowNet3D: Learning Scene Flow in 3D Point Clouds", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_FlowNet3D_Learning_Scene_Flow_in_3D_Point_Clouds_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xingyu Liu; Charles R. Qi; Leonidas J. Guibas", + "aff": "Stanford University; Facebook AI Research; Stanford University and Facebook AI Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_FlowNet3D_Learning_Scene_Flow_in_3D_Point_Clouds_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Focus Is All You Need: Loss Functions for Event-Based Vision", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Gallego_Focus_Is_All_You_Need_Loss_Functions_for_Event-Based_Vision_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Guillermo Gallego; Mathias Gehrig; Davide Scaramuzza", + "aff": "Dept. Informatics, Univ. of Zurich and Dept. Neuroinformatics, Univ. of Zurich and ETH Zurich", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Gallego_Focus_Is_All_You_Need_Loss_Functions_for_Event-Based_Vision_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Foreground-Aware Image Inpainting", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xiong_Foreground-Aware_Image_Inpainting_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wei Xiong; Jiahui Yu; Zhe Lin; Jimei Yang; Xin Lu; Connelly Barnes; Jiebo Luo", + "aff": "University of Rochester; Adobe Research; University of Illinois at Urbana-Champaign", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xiong_Foreground-Aware_Image_Inpainting_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Frame-Consistent Recurrent Video Deraining With Dual-Level Flow", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yang_Frame-Consistent_Recurrent_Video_Deraining_With_Dual-Level_Flow_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wenhan Yang; Jiaying Liu; Jiashi Feng", + "aff": "Institute of Computer Science and Technology, Peking University, Beijing, 100871; Department of ECE, National University of Singapore, Singapore, 119077", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yang_Frame-Consistent_Recurrent_Video_Deraining_With_Dual-Level_Flow_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "From Coarse to Fine: Robust Hierarchical Localization at Large Scale", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/ethz-asl/hf_net", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Sarlin_From_Coarse_to_Fine_Robust_Hierarchical_Localization_at_Large_Scale_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Paul-Edouard Sarlin; Cesar Cadena; Roland Siegwart; Marcin Dymczyk", + "aff": "Autonomous Systems Lab, ETH Zurich; Autonomous Systems Lab, ETH Zurich and Sevensense Robotics AG", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Sarlin_From_Coarse_to_Fine_Robust_Hierarchical_Localization_at_Large_Scale_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "From Recognition to Cognition: Visual Commonsense Reasoning", + "status": "Oral", + "site": "", + "track": "main", + "project": "http://visualcommonsense.com", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zellers_From_Recognition_to_Cognition_Visual_Commonsense_Reasoning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Rowan Zellers; Yonatan Bisk; Ali Farhadi; Yejin Choi", + "aff": "Allen Institute for Artificial Intelligence; Paul G. Allen School of Computer Science & Engineering, University of Washington", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zellers_From_Recognition_to_Cognition_Visual_Commonsense_Reasoning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Fully Automatic Video Colorization With Self-Regularization and Diversity", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lei_Fully_Automatic_Video_Colorization_With_Self-Regularization_and_Diversity_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chenyang Lei; Qifeng Chen", + "aff": "HKUST", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lei_Fully_Automatic_Video_Colorization_With_Self-Regularization_and_Diversity_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Fully Learnable Group Convolution for Acceleration of Deep Neural Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Fully_Learnable_Group_Convolution_for_Acceleration_of_Deep_Neural_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xijun Wang; Meina Kan; Shiguang Shan; Xilin Chen", + "aff": "Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai 200031, China; Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China; Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Fully_Learnable_Group_Convolution_for_Acceleration_of_Deep_Neural_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Fully Quantized Network for Object Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Fully_Quantized_Network_for_Object_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Rundong Li; Yan Wang; Feng Liang; Hongwei Qin; Junjie Yan; Rui Fan", + "aff": "ShanghaiTech University; SenseTime Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Fully_Quantized_Network_for_Object_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "GA-Net: Guided Aggregation Net for End-To-End Stereo Matching", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/feihuzhang/GANet", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_GA-Net_Guided_Aggregation_Net_for_End-To-End_Stereo_Matching_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Feihu Zhang; Victor Prisacariu; Ruigang Yang; Philip H.S. Torr", + "aff": "Baidu Research, Baidu Inc.; University of Oxford", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_GA-Net_Guided_Aggregation_Net_for_End-To-End_Stereo_Matching_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/barisgecer/ganfit", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Gecer_GANFIT_Generative_Adversarial_Network_Fitting_for_High_Fidelity_3D_Face_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Baris Gecer; Stylianos Ploumpis; Irene Kotsia; Stefanos Zafeiriou", + "aff": "University of Middlesex; Imperial College London, FaceSoft.io", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Gecer_GANFIT_Generative_Adversarial_Network_Fitting_for_High_Fidelity_3D_Face_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "GCAN: Graph Convolutional Adversarial Network for Unsupervised Domain Adaptation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ma_GCAN_Graph_Convolutional_Adversarial_Network_for_Unsupervised_Domain_Adaptation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xinhong Ma; Tianzhu Zhang; Changsheng Xu", + "aff": "National Lab of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), University of Chinese Academy of Sciences (UCAS), Peng Cheng Laboratory, ShenZhen, China; National Lab of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), University of Science and Technology of China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ma_GCAN_Graph_Convolutional_Adversarial_Network_for_Unsupervised_Domain_Adaptation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Melzi_GFrames_Gradient-Based_Local_Reference_Frame_for_3D_Shape_Matching_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Simone Melzi; Riccardo Spezialetti; Federico Tombari; Michael M. Bronstein; Luigi Di Stefano; Emanuele Rodol\u00c3", + "aff": "University of Bologna; Sapienza University of Rome; Imperial College London / USI; University of Verona; TU Munich", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Melzi_GFrames_Gradient-Based_Local_Reference_Frame_for_3D_Shape_Matching_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "GIF2Video: Color Dequantization and Temporal Interpolation of GIF Images", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_GIF2Video_Color_Dequantization_and_Temporal_Interpolation_of_GIF_Images_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yang Wang; Haibin Huang; Chuan Wang; Tong He; Jue Wang; Minh Hoai", + "aff": "UCLA; Stony Brook University; Megvii Research USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_GIF2Video_Color_Dequantization_and_Temporal_Interpolation_of_GIF_Images_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "GPSfM: Global Projective SFM Using Algebraic Constraints on Multi-View Fundamental Matrices", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kasten_GPSfM_Global_Projective_SFM_Using_Algebraic_Constraints_on_Multi-View_Fundamental_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yoni Kasten; Amnon Geifman; Meirav Galun; Ronen Basri", + "aff": "Weizmann Institute of Science", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kasten_GPSfM_Global_Projective_SFM_Using_Algebraic_Constraints_on_Multi-View_Fundamental_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering", + "status": "Oral", + "site": "", + "track": "main", + "project": "http://visualreasoning.net", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hudson_GQA_A_New_Dataset_for_Real-World_Visual_Reasoning_and_Compositional_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Drew A. Hudson; Christopher D. Manning", + "aff": "Stanford University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hudson_GQA_A_New_Dataset_for_Real-World_Visual_Reasoning_and_Compositional_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_GS3D_An_Efficient_3D_Object_Detection_Framework_for_Autonomous_Driving_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Buyu Li; Wanli Ouyang; Lu Sheng; Xingyu Zeng; Xiaogang Wang", + "aff": "CHUK-SenseTime Joint Laboratory, Beihang University; CHUK-SenseTime Joint Laboratory, Chinese University of Hong Kong; The University of Sydney; SenseTime Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_GS3D_An_Efficient_3D_Object_Detection_Framework_for_Autonomous_Driving_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yi_GSPN_Generative_Shape_Proposal_Network_for_3D_Instance_Segmentation_in_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Li Yi; Wang Zhao; He Wang; Minhyuk Sung; Leonidas J. Guibas", + "aff": "Tsinghua University; Stanford University, Facebook AI Research; Stanford University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yi_GSPN_Generative_Shape_Proposal_Network_for_3D_Instance_Segmentation_in_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Gait Recognition via Disentangled Representation Learning", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Gait_Recognition_via_Disentangled_Representation_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ziyuan Zhang; Luan Tran; Xi Yin; Yousef Atoum; Xiaoming Liu; Jian Wan; Nanxin Wang", + "aff": "Michigan State University; Ford Research and Innovation Center", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Gait_Recognition_via_Disentangled_Representation_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Gaussian Temporal Awareness Networks for Action Localization", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Long_Gaussian_Temporal_Awareness_Networks_for_Action_Localization_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Fuchen Long; Ting Yao; Zhaofan Qiu; Xinmei Tian; Jiebo Luo; Tao Mei", + "aff": "University of Science and Technology of China, Hefei, China; JD AI Research, Beijing, China; University of Rochester, Rochester, NY USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Long_Gaussian_Temporal_Awareness_Networks_for_Action_Localization_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Generalising Fine-Grained Sketch-Based Image Retrieval", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Pang_Generalising_Fine-Grained_Sketch-Based_Image_Retrieval_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kaiyue Pang; Ke Li; Yongxin Yang; Honggang Zhang; Timothy M. Hospedales; Tao Xiang; Yi-Zhe Song", + "aff": "SketchX, CVSSP, University of Surrey; Queen Mary University of London; SketchX, CVSSP, University of Surrey; SketchX, CVSSP, University of Surrey; Beijing University of Posts and Telecommunications; SketchX, CVSSP, University of Surrey; The University of Edinburgh; Beijing University of Posts and Telecommunications", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Pang_Generalising_Fine-Grained_Sketch-Based_Image_Retrieval_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Generalizable Person Re-Identification by Domain-Invariant Mapping Network", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Song_Generalizable_Person_Re-Identification_by_Domain-Invariant_Mapping_Network_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jifei Song; Yongxin Yang; Yi-Zhe Song; Tao Xiang; Timothy M. Hospedales", + "aff": "SketchX, CVSSP, University of Surrey; Queen Mary University of London; The University of Edinburgh", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Song_Generalizable_Person_Re-Identification_by_Domain-Invariant_Mapping_Network_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Rezatofighi_Generalized_Intersection_Over_Union_A_Metric_and_a_Loss_for_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hamid Rezatofighi; Nathan Tsoi; JunYoung Gwak; Amir Sadeghian; Ian Reid; Silvio Savarese", + "aff": "School of Computer Science, The University of Adelaide, Australia; Computer Science Department, Stanford University, United states", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Rezatofighi_Generalized_Intersection_Over_Union_A_Metric_and_a_Loss_for_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Schonfeld_Generalized_Zero-_and_Few-Shot_Learning_via_Aligned_Variational_Autoencoders_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Edgar Sch\u00c3\u00b6nfeld; Sayna Ebrahimi; Samarth Sinha; Trevor Darrell; Zeynep Akata", + "aff": "Bosch Center for AI; University of Toronto; University of Amsterdam; UC Berkeley", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Schonfeld_Generalized_Zero-_and_Few-Shot_Learning_via_Aligned_Variational_Autoencoders_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Generalized Zero-Shot Recognition Based on Visually Semantic Embedding", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhu_Generalized_Zero-Shot_Recognition_Based_on_Visually_Semantic_Embedding_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Pengkai Zhu; Hanxiao Wang; Venkatesh Saligrama", + "aff": "Electrical and Computer Engineering Department, Boston University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhu_Generalized_Zero-Shot_Recognition_Based_on_Visually_Semantic_Embedding_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Generalizing Eye Tracking With Bayesian Adversarial Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Generalizing_Eye_Tracking_With_Bayesian_Adversarial_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kang Wang; Rui Zhao; Hui Su; Qiang Ji", + "aff": "RPI; RPI and IBM", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Generalizing_Eye_Tracking_With_Bayesian_Adversarial_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Generating 3D Adversarial Point Clouds", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xiang_Generating_3D_Adversarial_Point_Clouds_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chong Xiang; Charles R. Qi; Bo Li", + "aff": "Facebook AI Research, California, USA; University of Illinois at Urbana-Champaign, Illinois, USA; Shanghai Jiao Tong University, Shanghai, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xiang_Generating_3D_Adversarial_Point_Clouds_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Gidaris_Generating_Classification_Weights_With_GNN_Denoising_Autoencoders_for_Few-Shot_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Spyros Gidaris; Nikos Komodakis", + "aff": "University Paris-Est, LIGM, Ecole des Ponts ParisTech", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Gidaris_Generating_Classification_Weights_With_GNN_Denoising_Autoencoders_for_Few-Shot_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Generating Multiple Hypotheses for 3D Human Pose Estimation With Mixture Density Network", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/chaneyddtt/Generating-Multiple-Hypotheses-for-3D-Human-Pose-Estimation-with-Mixture-Density-Network", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Generating_Multiple_Hypotheses_for_3D_Human_Pose_Estimation_With_Mixture_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chen Li; Gim Hee Lee", + "aff": "Department of Computer Science, National University of Singapore", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Generating_Multiple_Hypotheses_for_3D_Human_Pose_Estimation_With_Mixture_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Generative Dual Adversarial Network for Generalized Zero-Shot Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Huang_Generative_Dual_Adversarial_Network_for_Generalized_Zero-Shot_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "He Huang; Changhu Wang; Philip S. Yu; Chang-Dong Wang", + "aff": "School of Data and Computer Science, Sun Yat-sen University, China; Institute for Data Science, Tsinghua University, China; Department of Computer Science, University of Illinois at Chicago, USA; ByteDance AI Lab, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Huang_Generative_Dual_Adversarial_Network_for_Generalized_Zero-Shot_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "GeoNet: Deep Geodesic Networks for Point Cloud Analysis", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/He_GeoNet_Deep_Geodesic_Networks_for_Point_Cloud_Analysis_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Tong He; Haibin Huang; Li Yi; Yuqian Zhou; Chihao Wu; Jue Wang; Stefano Soatto", + "aff": "Stanford; UIUC; Megvii (Face++); Megvii (Face++)\u2020; UCLA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/He_GeoNet_Deep_Geodesic_Networks_for_Point_Cloud_Analysis_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Geometry-Aware Distillation for Indoor Semantic Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Jiao_Geometry-Aware_Distillation_for_Indoor_Semantic_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jianbo Jiao; Yunchao Wei; Zequn Jie; Honghui Shi; Rynson W.H. Lau; Thomas S. Huang", + "aff": "Tencent AI Lab; City University of Hong Kong; UIUC; Department of Engineering Science, University of Oxford; IBM Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Jiao_Geometry-Aware_Distillation_for_Indoor_Semantic_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/sshan-zhao/GASDA", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhao_Geometry-Aware_Symmetric_Domain_Adaptation_for_Monocular_Depth_Estimation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Shanshan Zhao; Huan Fu; Mingming Gong; Dacheng Tao", + "aff": "Department of Biomedical Informatics, University of Pittsburgh; UBTECH Sydney AI Center, School of Computer Science, FEIT, University of Sydney, Darlington, NSW 2008, Australia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhao_Geometry-Aware_Symmetric_Domain_Adaptation_for_Monocular_Depth_Estimation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Fu_Geometry-Consistent_Generative_Adversarial_Networks_for_One-Sided_Unsupervised_Domain_Mapping_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Huan Fu; Mingming Gong; Chaohui Wang; Kayhan Batmanghelich; Kun Zhang; Dacheng Tao", + "aff": "Department of Biomedical Informatics, University of Pittsburgh; UBTECH Sydney AI Centre, School of Computer Science, FEIT, University of Sydney, Darlington, NSW 2008, Australia; Department of Philosophy, Carnegie Mellon University; Universit \u00b4e Paris-Est, LIGM (UMR 8049), CNRS, ENPC, ESIEE Paris, UPEM, Marne-la-Vall \u00b4ee, France", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Fu_Geometry-Consistent_Generative_Adversarial_Networks_for_One-Sided_Unsupervised_Domain_Mapping_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Global Second-Order Pooling Convolutional Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Gao_Global_Second-Order_Pooling_Convolutional_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zilin Gao; Jiangtao Xie; Qilong Wang; Peihua Li", + "aff": "Dalian University of Technology; Tianjin University; Dalian University of Technology, DAMO Academy, Alibaba Group", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Gao_Global_Second-Order_Pooling_Convolutional_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Good News, Everyone! Context Driven Entity-Aware Captioning for News Images", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Biten_Good_News_Everyone_Context_Driven_Entity-Aware_Captioning_for_News_Images_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ali Furkan Biten; Lluis Gomez; Mar\u00c3\u00a7al Rusi\u00c3\u00b1ol; Dimosthenis Karatzas", + "aff": "Computer Vision Center, UAB, Spain", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Biten_Good_News_Everyone_Context_Driven_Entity-Aware_Captioning_for_News_Images_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tran_Gotta_Adapt_Em_All_Joint_Pixel_and_Feature-Level_Domain_Adaptation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Luan Tran; Kihyuk Sohn; Xiang Yu; Xiaoming Liu; Manmohan Chandraker", + "aff": "Michigan State University; NEC Labs America, UC San Diego; NEC Labs America", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tran_Gotta_Adapt_Em_All_Joint_Pixel_and_Feature-Level_Domain_Adaptation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Gradient Matching Generative Networks for Zero-Shot Learning", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Sariyildiz_Gradient_Matching_Generative_Networks_for_Zero-Shot_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Mert Bulent Sariyildiz; Ramazan Gokberk Cinbis", + "aff": "Bilkent University, Department of Computer Engineering; Middle East Technical University (METU), Department of Computer Engineering", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Sariyildiz_Gradient_Matching_Generative_Networks_for_Zero-Shot_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Graph Attention Convolution for Point Cloud Semantic Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Graph_Attention_Convolution_for_Point_Cloud_Semantic_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Lei Wang; Yuchun Huang; Yaolin Hou; Shenman Zhang; Jie Shan", + "aff": "Wuhan University, China; Purdue University, USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Graph_Attention_Convolution_for_Point_Cloud_Semantic_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhong_Graph_Convolutional_Label_Noise_Cleaner_Train_a_Plug-And-Play_Action_Classifier_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jia-Xing Zhong; Nannan Li; Weijie Kong; Shan Liu; Thomas H. Li; Ge Li", + "aff": "", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhong_Graph_Convolutional_Label_Noise_Cleaner_Train_a_Plug-And-Play_Action_Classifier_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Graph Convolutional Tracking", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Gao_Graph_Convolutional_Tracking_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Junyu Gao; Tianzhu Zhang; Changsheng Xu", + "aff": "National Lab of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), University of Chinese Academy of Sciences (UCAS), Peng Cheng Laboratory, ShenZhen, China; National Lab of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA); National Lab of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), University of Science and Technology of China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Gao_Graph_Convolutional_Tracking_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Graph-Based Global Reasoning Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Graph-Based_Global_Reasoning_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yunpeng Chen; Marcus Rohrbach; Zhicheng Yan; Yan Shuicheng; Jiashi Feng; Yannis Kalantidis", + "aff": "\u2021National University of Singapore; \u2020Facebook AI; \u2021National University of Singapore,\u266dQihoo 360 AI Institute; \u2020Facebook AI,\u2021National University of Singapore", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Graph-Based_Global_Reasoning_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Graphical Contrastive Losses for Scene Graph Parsing", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Graphical_Contrastive_Losses_for_Scene_Graph_Parsing_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ji Zhang; Kevin J. Shih; Ahmed Elgammal; Andrew Tao; Bryan Catanzaro", + "aff": "Nvidia Corporation; Department of Computer Science, Rutgers University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Graphical_Contrastive_Losses_for_Scene_Graph_Parsing_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Graphonomy: Universal Human Parsing via Graph Transfer Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Gong_Graphonomy_Universal_Human_Parsing_via_Graph_Transfer_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ke Gong; Yiming Gao; Xiaodan Liang; Xiaohui Shen; Meng Wang; Liang Lin", + "aff": "Hefei University of Technology; Sun Yat-sen University; ByteDance AI Lab; Sun Yat-sen University, DarkMatter AI Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Gong_Graphonomy_Universal_Human_Parsing_via_Graph_Transfer_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Greedy Structure Learning of Hierarchical Compositional Models", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kortylewski_Greedy_Structure_Learning_of_Hierarchical_Compositional_Models_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Adam Kortylewski; Aleksander Wieczorek; Mario Wieser; Clemens Blumer; Sonali Parbhoo; Andreas Morel-Forster; Volker Roth; Thomas Vetter", + "aff": "Department of Mathematics and Computer Science, University of Basel", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kortylewski_Greedy_Structure_Learning_of_Hierarchical_Compositional_Models_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Grid R-CNN", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lu_Grid_R-CNN_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xin Lu; Buyu Li; Yuxin Yue; Quanquan Li; Junjie Yan", + "aff": "The Chinese University of Hong Kong; Beihang University; SenseTime Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lu_Grid_R-CNN_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Grounded Video Description", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/facebookresearch/grounded-video-description", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhou_Grounded_Video_Description_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Luowei Zhou; Yannis Kalantidis; Xinlei Chen; Jason J. Corso; Marcus Rohrbach", + "aff": "University of Michigan; Facebook AI", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhou_Grounded_Video_Description_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Grounding Human-To-Vehicle Advice for Self-Driving Vehicles", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://usa.honda-ri.com/HAD", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kim_Grounding_Human-To-Vehicle_Advice_for_Self-Driving_Vehicles_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jinkyu Kim; Teruhisa Misu; Yi-Ting Chen; Ashish Tawari; John Canny", + "aff": "Honda Research Institute USA, Inc.; EECS, UC Berkeley", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kim_Grounding_Human-To-Vehicle_Advice_for_Self-Driving_Vehicles_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Group Sampling for Scale Invariant Face Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ming_Group_Sampling_for_Scale_Invariant_Face_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiang Ming; Fangyun Wei; Ting Zhang; Dong Chen; Fang Wen", + "aff": "Xi\u2019an Jiaotong University; Microsoft Research Asia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ming_Group_Sampling_for_Scale_Invariant_Face_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Group-Wise Correlation Stereo Network", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/xy-guo/GwcNet", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Guo_Group-Wise_Correlation_Stereo_Network_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiaoyang Guo; Kai Yang; Wukui Yang; Xiaogang Wang; Hongsheng Li", + "aff": "The Chinese University of Hong Kong; SenseTime Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Guo_Group-Wise_Correlation_Stereo_Network_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Guaranteed Matrix Completion Under Multiple Linear Transformations", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Guaranteed_Matrix_Completion_Under_Multiple_Linear_Transformations_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chao Li; Wei He; Longhao Yuan; Zhun Sun; Qibin Zhao", + "aff": "RIKEN Center for Advanced Intelligence Project, Japan; School of Automation, Guangdong University of Technology, China; Saitama Institute of Technology, Japan", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Guaranteed_Matrix_Completion_Under_Multiple_Linear_Transformations_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Guided Stereo Matching", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Poggi_Guided_Stereo_Matching_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Matteo Poggi; Davide Pallotti; Fabio Tosi; Stefano Mattoccia", + "aff": "Department of Computer Science and Engineering (DISI), University of Bologna, Italy", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Poggi_Guided_Stereo_Matching_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tekin_HO_Unified_Egocentric_Recognition_of_3D_Hand-Object_Poses_and_Interactions_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Bugra Tekin; Federica Bogo; Marc Pollefeys", + "aff": "ETH Z\u00fcrich; Microsoft", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tekin_HO_Unified_Egocentric_Recognition_of_3D_Hand-Object_Poses_and_Interactions_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "HAQ: Hardware-Aware Automated Quantization With Mixed Precision", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_HAQ_Hardware-Aware_Automated_Quantization_With_Mixed_Precision_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kuan Wang; Zhijian Liu; Yujun Lin; Ji Lin; Song Han", + "aff": "Massachusetts Institute of Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_HAQ_Hardware-Aware_Automated_Quantization_With_Mixed_Precision_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-Scale Point Clouds", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Gu_HPLFlowNet_Hierarchical_Permutohedral_Lattice_FlowNet_for_Scene_Flow_Estimation_on_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiuye Gu; Yijie Wang; Chongruo Wu; Yong Jae Lee; Panqu Wang", + "aff": "TuSimple; Stanford University; University of California, Davis", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Gu_HPLFlowNet_Hierarchical_Permutohedral_Lattice_FlowNet_for_Scene_Flow_Estimation_on_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Handwriting Recognition in Low-Resource Scripts Using Adversarial Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Bhunia_Handwriting_Recognition_in_Low-Resource_Scripts_Using_Adversarial_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ayan Kumar Bhunia; Abhirup Das; Ankan Kumar Bhunia; Perla Sai Raj Kishore; Partha Pratim Roy", + "aff": "Jadavpur University, India; Indian Institute of Technology Roorkee, India; Nanyang Technological University, Singapore; Institute of Engineering & Management, India", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Bhunia_Handwriting_Recognition_in_Low-Resource_Scripts_Using_Adversarial_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Hardness-Aware Deep Metric Learning", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/wzzheng/HDMLfeatureembedding", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zheng_Hardness-Aware_Deep_Metric_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wenzhao Zheng; Zhaodong Chen; Jiwen Lu; Jie Zhou", + "aff": "Department of Automation, Tsinghua University, China; State Key Lab of Intelligent Technologies and Systems, China; Beijing National Research Center for Information Science and Technology, China; Department of Automation, Tsinghua University, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zheng_Hardness-Aware_Deep_Metric_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Heavy_Rain_Image_Restoration_Integrating_Physics_Model_and_Conditional_Adversarial_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ruoteng Li; Loong-Fah Cheong; Robby T. Tan", + "aff": "National University of Singapore; National University of Singapore, Yale-NUS College", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Heavy_Rain_Image_Restoration_Integrating_Physics_Model_and_Conditional_Adversarial_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Singh_HetConv_Heterogeneous_Kernel-Based_Convolutions_for_Deep_CNNs_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Pravendra Singh; Vinay Kumar Verma; Piyush Rai; Vinay P. Namboodiri", + "aff": "Department of Computer Science and Engineering, IIT Kanpur, India", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Singh_HetConv_Heterogeneous_Kernel-Based_Convolutions_for_Deep_CNNs_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Fan_Heterogeneous_Memory_Enhanced_Multimodal_Attention_Model_for_Video_Question_Answering_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chenyou Fan; Xiaofan Zhang; Shu Zhang; Wensheng Wang; Chi Zhang; Heng Huang", + "aff": "JD.COM; JD.COM, JD Digits", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Fan_Heterogeneous_Memory_Enhanced_Multimodal_Attention_Model_for_Video_Question_Answering_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Hierarchical_Cross-Modal_Talking_Face_Generation_With_Dynamic_Pixel-Wise_Loss_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Lele Chen; Ross K. Maddox; Zhiyao Duan; Chenliang Xu", + "aff": "University of Rochester, USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Hierarchical_Cross-Modal_Talking_Face_Generation_With_Dynamic_Pixel-Wise_Loss_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Hierarchical Deep Stereo Matching on High-Resolution Images", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yang_Hierarchical_Deep_Stereo_Matching_on_High-Resolution_Images_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Gengshan Yang; Joshua Manela; Michael Happold; Deva Ramanan", + "aff": "Carnegie Mellon University; Carnegie Mellon University, Argo AI; Argo AI", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yang_Hierarchical_Deep_Stereo_Matching_on_High-Resolution_Images_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Hierarchical Discrete Distribution Decomposition for Match Density Estimation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yin_Hierarchical_Discrete_Distribution_Decomposition_for_Match_Density_Estimation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhichao Yin; Trevor Darrell; Fisher Yu", + "aff": "UC Berkeley", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yin_Hierarchical_Discrete_Distribution_Decomposition_for_Match_Density_Estimation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Hierarchical Disentanglement of Discriminative Latent Features for Zero-Shot Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tong_Hierarchical_Disentanglement_of_Discriminative_Latent_Features_for_Zero-Shot_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Bin Tong; Chao Wang; Martin Klinkigt; Yoshiyuki Kobayashi; Yuuichi Nonaka", + "aff": "R&D Group, Hitachi, Ltd., Japan; Ocean University of China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tong_Hierarchical_Disentanglement_of_Discriminative_Latent_Features_for_Zero-Shot_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Shi_Hierarchy_Denoising_Recursive_Autoencoders_for_3D_Scene_Layout_Prediction_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yifei Shi; Angel X. Chang; Zhelun Wu; Manolis Savva; Kai Xu", + "aff": "Princeton University; National University of Defense Technology; Simon Fraser University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Shi_Hierarchy_Denoising_Recursive_Autoencoders_for_3D_Scene_Layout_Prediction_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "High Flux Passive Imaging With Single-Photon Sensors", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ingle_High_Flux_Passive_Imaging_With_Single-Photon_Sensors_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Atul Ingle; Andreas Velten; Mohit Gupta", + "aff": "University of Wisconsin-Madison", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ingle_High_Flux_Passive_Imaging_With_Single-Photon_Sensors_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "High-Level Semantic Feature Detection: A New Perspective for Pedestrian Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/liuwei16/CSP", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_High-Level_Semantic_Feature_Detection_A_New_Perspective_for_Pedestrian_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wei Liu; Shengcai Liao; Weiqiang Ren; Weidong Hu; Yinan Yu", + "aff": "ATR, College of Electronic Science, National University of Defense Technology, Changsha, China; Horizon Robotics Inc., Beijing, China; ATR, College of Electronic Science, National University of Defense Technology, Changsha, China; CBSR & NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China; Inception Institute of Arti\ufb01cial Intelligence (IIAI), Abu Dhabi, UAE", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_High-Level_Semantic_Feature_Detection_A_New_Perspective_for_Pedestrian_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "High-Quality Face Capture Using Anatomical Muscles", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Bao_High-Quality_Face_Capture_Using_Anatomical_Muscles_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Michael Bao; Matthew Cong; St\u00c3\u00a9phane Grabli; Ronald Fedkiw", + "aff": "Stanford University; Industrial Light & Magic", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Bao_High-Quality_Face_Capture_Using_Anatomical_Muscles_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yan_Holistic_and_Comprehensive_Annotation_of_Clinically_Significant_Findings_on_Diverse_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ke Yan; Yifan Peng; Veit Sandfort; Mohammadhadi Bagheri; Zhiyong Lu; Ronald M. Summers", + "aff": "Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Clinical Center, National Institutes of Health, Bethesda, MD 20892; National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20892", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yan_Holistic_and_Comprehensive_Annotation_of_Clinically_Significant_Findings_on_Diverse_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "HoloPose: Holistic 3D Human Reconstruction In-The-Wild", + "status": "Oral", + "site": "", + "track": "main", + "project": "http://arielai.com/holopose", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Guler_HoloPose_Holistic_3D_Human_Reconstruction_In-The-Wild_CVPR_2019_paper.pdf", + "youtube": "", + "author": "R\u00c4\u00b1za Alp G\u00c3\u00bcler; Iasonas Kokkinos", + "aff": "Ariel AI", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Guler_HoloPose_Holistic_3D_Human_Reconstruction_In-The-Wild_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Homomorphic Latent Space Interpolation for Unpaired Image-To-Image Translation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Homomorphic_Latent_Space_Interpolation_for_Unpaired_Image-To-Image_Translation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ying-Cong Chen; Xiaogang Xu; Zhuotao Tian; Jiaya Jia", + "aff": "The Chinese University of Hong Kong; The Chinese University of Hong Kong, Tencent Youtu Lab", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Homomorphic_Latent_Space_Interpolation_for_Unpaired_Image-To-Image_Translation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "HorizonNet: Learning Room Layout With 1D Representation and Pano Stretch Data Augmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Sun_HorizonNet_Learning_Room_Layout_With_1D_Representation_and_Pano_Stretch_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Cheng Sun; Chi-Wei Hsiao; Min Sun; Hwann-Tzong Chen", + "aff": "National Tsing Hua University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Sun_HorizonNet_Learning_Room_Layout_With_1D_Representation_and_Pano_Stretch_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "How to Make a Pizza: Learning a Compositional Layer-Based GAN Model", + "status": "Poster", + "site": "", + "track": "main", + "project": "http://pizzagan.csail.mit.edu", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Papadopoulos_How_to_Make_a_Pizza_Learning_a_Compositional_Layer-Based_GAN_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Dim P. Papadopoulos; Youssef Tamaazousti; Ferda Ofli; Ingmar Weber; Antonio Torralba", + "aff": "Massachusetts Institute of Technology; Qatar Computing Research Institute, HBKU", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Papadopoulos_How_to_Make_a_Pizza_Learning_a_Compositional_Layer-Based_GAN_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Hybrid Scene Compression for Visual Localization", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Camposeco_Hybrid_Scene_Compression_for_Visual_Localization_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Federico Camposeco; Andrea Cohen; Marc Pollefeys; Torsten Sattler", + "aff": "Department of Computer Science, ETH Zurich and Microsoft; Chalmers University of Technology; Department of Computer Science, ETH Zurich", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Camposeco_Hybrid_Scene_Compression_for_Visual_Localization_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Hybrid Task Cascade for Instance Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/open-mmlab/mmdetection", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Hybrid_Task_Cascade_for_Instance_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kai Chen; Jiangmiao Pang; Jiaqi Wang; Yu Xiong; Xiaoxiao Li; Shuyang Sun; Wansen Feng; Ziwei Liu; Jianping Shi; Wanli Ouyang; Chen Change Loy; Dahua Lin", + "aff": "The Chinese University of Hong Kong; Nanyang Technological University; The University of Sydney; SenseTime Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Hybrid_Task_Cascade_for_Instance_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Hybrid-Attention Based Decoupled Metric Learning for Zero-Shot Image Retrieval", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "http://www.bhchen.cn", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Hybrid-Attention_Based_Decoupled_Metric_Learning_for_Zero-Shot_Image_Retrieval_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Binghui Chen; Weihong Deng", + "aff": "Beijing University of Posts and Telecommunications; Beijing University of Posts and Telecommunications, AI Labs, Didi Chuxing, Beijing 100193, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Hybrid-Attention_Based_Decoupled_Metric_Learning_for_Zero-Shot_Image_Retrieval_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Hyperspectral_Image_Reconstruction_Using_a_Deep_Spatial-Spectral_Prior_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Lizhi Wang; Chen Sun; Ying Fu; Min H. Kim; Hua Huang", + "aff": "Korea Advanced Institute of Science and Technology; Beijing Institute of Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Hyperspectral_Image_Reconstruction_Using_a_Deep_Spatial-Spectral_Prior_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Hyperspectral Image Super-Resolution With Optimized RGB Guidance", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Fu_Hyperspectral_Image_Super-Resolution_With_Optimized_RGB_Guidance_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ying Fu; Tao Zhang; Yinqiang Zheng; Debing Zhang; Hua Huang", + "aff": "DeepGlint; Beijing Institute of Technology; National Institute of Informatics", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Fu_Hyperspectral_Image_Super-Resolution_With_Optimized_RGB_Guidance_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Hyperspectral Imaging With Random Printed Mask", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhao_Hyperspectral_Imaging_With_Random_Printed_Mask_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yuanyuan Zhao; Hui Guo; Zhan Ma; Xun Cao; Tao Yue; Xuemei Hu", + "aff": "Nanjing University, Nanjing, China; NJU institute of sensing and imaging engineering, Nanjing, China; Nanjing University, Nanjing, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhao_Hyperspectral_Imaging_With_Random_Printed_Mask_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "IGE-Net: Inverse Graphics Energy Networks for Human Pose Estimation and Single-View Reconstruction", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Jack_IGE-Net_Inverse_Graphics_Energy_Networks_for_Human_Pose_Estimation_and_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Dominic Jack; Frederic Maire; Sareh Shirazi; Anders Eriksson", + "aff": "School of Electrical Engineering and Computer Science, Queensland University of Technology; School of Information Technology and Electrical Engineering, University of Queensland", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Jack_IGE-Net_Inverse_Graphics_Energy_Networks_for_Human_Pose_Estimation_and_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "IM-Net for High Resolution Video Frame Interpolation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Peleg_IM-Net_for_High_Resolution_Video_Frame_Interpolation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Tomer Peleg; Pablo Szekely; Doron Sabo; Omry Sendik", + "aff": "Samsung Israel R&D Center", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Peleg_IM-Net_for_High_Resolution_Video_Frame_Interpolation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/xpwu95/IP102", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wu_IP102_A_Large-Scale_Benchmark_Dataset_for_Insect_Pest_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiaoping Wu; Chi Zhan; Yu-Kun Lai; Ming-Ming Cheng; Jufeng Yang", + "aff": "College of Computer Science, Nankai University, Tianjin, China; School of Computer Science and Informatics, Cardiff University, Cardiff, UK", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wu_IP102_A_Large-Scale_Benchmark_Dataset_for_Insect_Pest_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "IRLAS: Inverse Reinforcement Learning for Architecture Search", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Guo_IRLAS_Inverse_Reinforcement_Learning_for_Architecture_Search_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Minghao Guo; Zhao Zhong; Wei Wu; Dahua Lin; Junjie Yan", + "aff": "NLPR, CASIA, University of Chinese Academy of Sciences; The Chinese University of Hong Kong; SenseTime Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Guo_IRLAS_Inverse_Reinforcement_Learning_for_Architecture_Search_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Im2Pencil: Controllable Pencil Illustration From Photographs", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Im2Pencil_Controllable_Pencil_Illustration_From_Photographs_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yijun Li; Chen Fang; Aaron Hertzmann; Eli Shechtman; Ming-Hsuan Yang", + "aff": "Adobe Research; ByteDance AI; UC Merced, Google Cloud; UC Merced", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Im2Pencil_Controllable_Pencil_Illustration_From_Photographs_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Image Deformation Meta-Networks for One-Shot Learning", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Image_Deformation_Meta-Networks_for_One-Shot_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zitian Chen; Yanwei Fu; Yu-Xiong Wang; Lin Ma; Wei Liu; Martial Hebert", + "aff": "Tencent AI Lab; Robotics Institute, Carnegie Mellon University; Schools of Computer Science, and Data Science, Fudan University; Jilian Technology Group (Video++)", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Image_Deformation_Meta-Networks_for_One-Shot_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Image Generation From Layout", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhao_Image_Generation_From_Layout_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Bo Zhao; Lili Meng; Weidong Yin; Leonid Sigal", + "aff": "University of British Columbia Vector Institute", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhao_Image_Generation_From_Layout_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Image Super-Resolution by Neural Texture Transfer", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/ZZUTK/SRNTT", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Image_Super-Resolution_by_Neural_Texture_Transfer_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhifei Zhang; Zhaowen Wang; Zhe Lin; Hairong Qi", + "aff": "Adobe Research; University of Tennessee", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Image_Super-Resolution_by_Neural_Texture_Transfer_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Image-Question-Answer Synergistic Network for Visual Dialog", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Guo_Image-Question-Answer_Synergistic_Network_for_Visual_Dialog_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Dalu Guo; Chang Xu; Dacheng Tao", + "aff": "UBTECH Sydney AI Centre, School of Computer Science, FEIT, University of Sydney, Darlington, NSW 2008, Australia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Guo_Image-Question-Answer_Synergistic_Network_for_Visual_Dialog_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Cho_Image-To-Image_Translation_via_Group-Wise_Deep_Whitening-And-Coloring_Transformation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wonwoong Cho; Sungha Choi; David Keetae Park; Inkyu Shin; Jaegul Choo", + "aff": "Hanyang University; Korea University; Korea University, LG Electronics", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Cho_Image-To-Image_Translation_via_Group-Wise_Deep_Whitening-And-Coloring_Transformation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Importance Estimation for Neural Network Pruning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/NVlabs/Taylor_pruning", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Molchanov_Importance_Estimation_for_Neural_Network_Pruning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Pavlo Molchanov; Arun Mallya; Stephen Tyree; Iuri Frosio; Jan Kautz", + "aff": "NVIDIA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Molchanov_Importance_Estimation_for_Neural_Network_Pruning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Improved Road Connectivity by Joint Learning of Orientation and Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/anil-2185/road-connectivity", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Batra_Improved_Road_Connectivity_by_Joint_Learning_of_Orientation_and_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Anil Batra; Suriya Singh; Guan Pang; Saikat Basu; C.V. Jawahar; Manohar Paluri", + "aff": "IIIT Hyderabad; MILA / Polytechnique Montr\u00e9al; Facebook", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Batra_Improved_Road_Connectivity_by_Joint_Learning_of_Orientation_and_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Improving Action Localization by Progressive Cross-Stream Cooperation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Su_Improving_Action_Localization_by_Progressive_Cross-Stream_Cooperation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Rui Su; Wanli Ouyang; Luping Zhou; Dong Xu", + "aff": "School of Electrical and Information Engineering, The University of Sydney; School of Electrical and Information Engineering, The University of Sydney; SenseTime Computer Vision Research Group, Australia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Su_Improving_Action_Localization_by_Progressive_Cross-Stream_Cooperation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yu_Improving_Few-Shot_User-Specific_Gaze_Adaptation_via_Gaze_Redirection_Synthesis_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yu Yu; Gang Liu; Jean-Marc Odobez", + "aff": "Idiap Research Institute, CH-1920, Martigny, Switzerland; EPFL, CH-1015, Lausanne, Switzerland", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yu_Improving_Few-Shot_User-Specific_Gaze_Adaptation_via_Gaze_Redirection_Synthesis_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Improving Referring Expression Grounding With Cross-Modal Attention-Guided Erasing", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Improving_Referring_Expression_Grounding_With_Cross-Modal_Attention-Guided_Erasing_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xihui Liu; Zihao Wang; Jing Shao; Xiaogang Wang; Hongsheng Li", + "aff": "The Chinese University of Hong Kong; SenseTime Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Improving_Referring_Expression_Grounding_With_Cross-Modal_Attention-Guided_Erasing_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Improving Semantic Segmentation via Video Propagation and Label Relaxation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhu_Improving_Semantic_Segmentation_via_Video_Propagation_and_Label_Relaxation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yi Zhu; Karan Sapra; Fitsum A. Reda; Kevin J. Shih; Shawn Newsam; Andrew Tao; Bryan Catanzaro", + "aff": "Nvidia Corporation; University of California at Merced", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhu_Improving_Semantic_Segmentation_via_Video_Propagation_and_Label_Relaxation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Improving Transferability of Adversarial Examples With Input Diversity", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/cihangxie/DI-2-FGSM", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xie_Improving_Transferability_of_Adversarial_Examples_With_Input_Diversity_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Cihang Xie; Zhishuai Zhang; Yuyin Zhou; Song Bai; Jianyu Wang; Zhou Ren; Alan L. Yuille", + "aff": "Baidu Research; University of Oxford; Wormpex AI Research; Johns Hopkins University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xie_Improving_Transferability_of_Adversarial_Examples_With_Input_Diversity_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition With Multimodal Training", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Abavisani_Improving_the_Performance_of_Unimodal_Dynamic_Hand-Gesture_Recognition_With_Multimodal_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Mahdi Abavisani; Hamid Reza Vaezi Joze; Vishal M. Patel", + "aff": "Rutgers University; Microsoft; Johns Hopkins University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Abavisani_Improving_the_Performance_of_Unimodal_Dynamic_Hand-Gesture_Recognition_With_Multimodal_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "In Defense of Pre-Trained ImageNet Architectures for Real-Time Semantic Segmentation of Road-Driving Images", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Orsic_In_Defense_of_Pre-Trained_ImageNet_Architectures_for_Real-Time_Semantic_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Marin Or\u00c5\u00a1i\u00c4\u0087; Ivan Kre\u00c5\u00a1o; Petra Bevandi\u00c4\u0087; Sini\u00c5\u00a1a \u00c5\u00a0egvic", + "aff": "Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Orsic_In_Defense_of_Pre-Trained_ImageNet_Architectures_for_Real-Time_Semantic_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representations", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Habibie_In_the_Wild_Human_Pose_Estimation_Using_Explicit_2D_Features_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ikhsanul Habibie; Weipeng Xu; Dushyant Mehta; Gerard Pons-Moll; Christian Theobalt", + "aff": "Max Planck Institute for Informatics, Saarland Informatics Campus, Saarbrucken, Germany", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Habibie_In_the_Wild_Human_Pose_Estimation_Using_Explicit_2D_Features_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Incremental Object Learning From Contiguous Views", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Stojanov_Incremental_Object_Learning_From_Contiguous_Views_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Stefan Stojanov; Samarth Mishra; Ngoc Anh Thai; Nikhil Dhanda; Ahmad Humayun; Chen Yu; Linda B. Smith; James M. Rehg", + "aff": "Indiana University Bloomington; Georgia Institute of Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Stojanov_Incremental_Object_Learning_From_Contiguous_Views_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Information Maximizing Visual Question Generation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Krishna_Information_Maximizing_Visual_Question_Generation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ranjay Krishna; Michael Bernstein; Li Fei-Fei", + "aff": "Stanford University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Krishna_Information_Maximizing_Visual_Question_Generation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Informative Object Annotations: Tell Me Something I Don't Know", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Bracha_Informative_Object_Annotations_Tell_Me_Something_I_Dont_Know_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Lior Bracha; Gal Chechik", + "aff": "Bar-Ilan University; Bar-Ilan University, NVIDIA Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Bracha_Informative_Object_Annotations_Tell_Me_Something_I_Dont_Know_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Inserting Videos Into Videos", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lee_Inserting_Videos_Into_Videos_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Donghoon Lee; Tomas Pfister; Ming-Hsuan Yang", + "aff": "Google Cloud AI; Electrical Engineering and Computer Science, University of California at Merced; Electrical and Computer Engineering and ASRI, Seoul National University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lee_Inserting_Videos_Into_Videos_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Neven_Instance_Segmentation_by_Jointly_Optimizing_Spatial_Embeddings_and_Clustering_Bandwidth_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Davy Neven; Bert De Brabandere; Marc Proesmans; Luc Van Gool", + "aff": "Dept. ESAT, Center for Processing Speech and Images, KU Leuven, Belgium", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Neven_Instance_Segmentation_by_Jointly_Optimizing_Spatial_Embeddings_and_Clustering_Bandwidth_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Instance-Level Meta Normalization", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/Gasoonjia/ILM-Norm", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Jia_Instance-Level_Meta_Normalization_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Songhao Jia; Ding-Jie Chen; Hwann-Tzong Chen", + "aff": "National Tsing Hua University; Academia Sinica", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Jia_Instance-Level_Meta_Normalization_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Intention Oriented Image Captions With Guiding Objects", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zheng_Intention_Oriented_Image_Captions_With_Guiding_Objects_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yue Zheng; Yali Li; Shengjin Wang", + "aff": "Department of Electronic Engineering, Tsinghua University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zheng_Intention_Oriented_Image_Captions_With_Guiding_Objects_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Interaction-And-Aggregation Network for Person Re-Identification", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hou_Interaction-And-Aggregation_Network_for_Person_Re-Identification_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ruibing Hou; Bingpeng Ma; Hong Chang; Xinqian Gu; Shiguang Shan; Xilin Chen", + "aff": "", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hou_Interaction-And-Aggregation_Network_for_Person_Re-Identification_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Interactive Full Image Segmentation by Considering All Regions Jointly", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Agustsson_Interactive_Full_Image_Segmentation_by_Considering_All_Regions_Jointly_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Eirikur Agustsson; Jasper R. R. Uijlings; Vittorio Ferrari", + "aff": "Google Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Agustsson_Interactive_Full_Image_Segmentation_by_Considering_All_Regions_Jointly_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Interactive Image Segmentation via Backpropagating Refinement Scheme", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Jang_Interactive_Image_Segmentation_via_Backpropagating_Refinement_Scheme_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Won-Dong Jang; Chang-Su Kim", + "aff": "Harvard University, Cambridge, MA; Korea University, Republic of Korea", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Jang_Interactive_Image_Segmentation_via_Backpropagating_Refinement_Scheme_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wagner_Interpretable_and_Fine-Grained_Visual_Explanations_for_Convolutional_Neural_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "J\u00c3\u00b6rg Wagner; Jan Mathias K\u00c3\u00b6hler; Tobias Gindele; Leon Hetzel; Jakob Thadd\u00c3\u00a4us Wiedemer; Sven Behnke", + "aff": "Bosch Center for Arti\ufb01cial Intelligence (BCAI), Germany; University of Bonn, Germany", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wagner_Interpretable_and_Fine-Grained_Visual_Explanations_for_Convolutional_Neural_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Interpreting CNNs via Decision Trees", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Interpreting_CNNs_via_Decision_Trees_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Quanshi Zhang; Yu Yang; Haotian Ma; Ying Nian Wu", + "aff": "University of California, Los Angeles; South China University of Technology; Shanghai Jiao Tong University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Interpreting_CNNs_via_Decision_Trees_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-Identification", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/zhunzhong07/ECN", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhong_Invariance_Matters_Exemplar_Memory_for_Domain_Adaptive_Person_Re-Identification_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhun Zhong; Liang Zheng; Zhiming Luo; Shaozi Li; Yi Yang", + "aff": "Centre for Arti\ufb01cial Intelligence, University of Technology Sydney; Postdoc Center of Information and Communication Engineering, Xiamen University; Research School of Computer Science, Australian National University; Cognitive Science Department, Xiamen University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhong_Invariance_Matters_Exemplar_Memory_for_Domain_Adaptive_Person_Re-Identification_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Inverse Cooking: Recipe Generation From Food Images", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/facebookresearch/inversecooking", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Salvador_Inverse_Cooking_Recipe_Generation_From_Food_Images_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Amaia Salvador; Michal Drozdzal; Xavier Giro-i-Nieto; Adriana Romero", + "aff": "Universitat Politecnica de Catalunya; Facebook AI Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Salvador_Inverse_Cooking_Recipe_Generation_From_Food_Images_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Inverse Discriminative Networks for Handwritten Signature Verification", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wei_Inverse_Discriminative_Networks_for_Handwritten_Signature_Verification_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ping Wei; Huan Li; Ping Hu", + "aff": "Xi\u2019an Jiaotong University, Xi\u2019an, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wei_Inverse_Discriminative_Networks_for_Handwritten_Signature_Verification_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Inverse Path Tracing for Joint Material and Lighting Estimation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Azinovic_Inverse_Path_Tracing_for_Joint_Material_and_Lighting_Estimation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Dejan Azinovi\u00c4\u0087; Tzu-Mao Li; Anton Kaplanyan; Matthias Nie\u00c3\u009fner", + "aff": "Technical University of Munich; MIT CSAIL; Facebook Reality Labs", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Azinovic_Inverse_Path_Tracing_for_Joint_Material_and_Lighting_Estimation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Inverse Procedural Modeling of Knitwear", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Trunz_Inverse_Procedural_Modeling_of_Knitwear_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Elena Trunz; Sebastian Merzbach; Jonathan Klein; Thomas Schulze; Michael Weinmann; Reinhard Klein", + "aff": "Institute of Computer Science II, University of Bonn, Germany", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Trunz_Inverse_Procedural_Modeling_of_Knitwear_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "InverseRenderNet: Learning Single Image Inverse Rendering", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yu_InverseRenderNet_Learning_Single_Image_Inverse_Rendering_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ye Yu; William A. P. Smith", + "aff": "Department of Computer Science, University of York, UK", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yu_InverseRenderNet_Learning_Single_Image_Inverse_Rendering_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Isospectralization, or How to Hear Shape, Style, and Correspondence", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Cosmo_Isospectralization_or_How_to_Hear_Shape_Style_and_Correspondence_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Luca Cosmo; Mikhail Panine; Arianna Rampini; Maks Ovsjanikov; Michael M. Bronstein; Emanuele Rodol\u00c3", + "aff": "University of Venice; Imperial College London / USI; Sapienza University of Rome; \u00b4Ecole Polytechnique", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Cosmo_Isospectralization_or_How_to_Hear_Shape_Style_and_Correspondence_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "It's Not About the Journey; It's About the Destination: Following Soft Paths Under Question-Guidance for Visual Reasoning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Haurilet_Its_Not_About_the_Journey_Its_About_the_Destination_Following_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Monica Haurilet; Alina Roitberg; Rainer Stiefelhagen", + "aff": "Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Haurilet_Its_Not_About_the_Journey_Its_About_the_Destination_Following_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Iterative Alignment Network for Continuous Sign Language Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Pu_Iterative_Alignment_Network_for_Continuous_Sign_Language_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Junfu Pu; Wengang Zhou; Houqiang Li", + "aff": "CAS Key Laboratory of GIPAS, University of Science and Technology of China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Pu_Iterative_Alignment_Network_for_Continuous_Sign_Language_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Iterative Normalization: Beyond Standardization Towards Efficient Whitening", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Huang_Iterative_Normalization_Beyond_Standardization_Towards_Efficient_Whitening_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Lei Huang; Yi Zhou; Fan Zhu; Li Liu; Ling Shao", + "aff": "Inception Institute of Artiificial Intelligence (IIAI), Abu Dhabi, UAE", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Huang_Iterative_Normalization_Beyond_Standardization_Towards_Efficient_Whitening_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Iterative Projection and Matching: Finding Structure-Preserving Representatives and Its Application to Computer Vision", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zaeemzadeh_Iterative_Projection_and_Matching_Finding_Structure-Preserving_Representatives_and_Its_Application_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Alireza Zaeemzadeh; Mohsen Joneidi; Nazanin Rahnavard; Mubarak Shah", + "aff": "University of Central Florida", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zaeemzadeh_Iterative_Projection_and_Matching_Finding_Structure-Preserving_Representatives_and_Its_Application_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Iterative Reorganization With Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wei_Iterative_Reorganization_With_Weak_Spatial_Constraints_Solving_Arbitrary_Jigsaw_Puzzles_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chen Wei; Lingxi Xie; Xutong Ren; Yingda Xia; Chi Su; Jiaying Liu; Qi Tian; Alan L. Yuille", + "aff": "Peking University; Noah\u2019s Ark Lab, Huawei Inc.; Johns Hopkins University; Kingsoft Cloud", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wei_Iterative_Reorganization_With_Weak_Spatial_Constraints_Solving_Arbitrary_Jigsaw_Puzzles_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Iterative Residual CNNs for Burst Photography Applications", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kokkinos_Iterative_Residual_CNNs_for_Burst_Photography_Applications_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Filippos Kokkinos; Stamatis Lefkimmiatis", + "aff": "Skolkovo Institute of Science and Technology (Skoltech), Moscow, Russia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kokkinos_Iterative_Residual_CNNs_for_Burst_Photography_Applications_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hur_Iterative_Residual_Refinement_for_Joint_Optical_Flow_and_Occlusion_Estimation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Junhwa Hur; Stefan Roth", + "aff": "Department of Computer Science, TU Darmstadt", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hur_Iterative_Residual_Refinement_for_Joint_Optical_Flow_and_Occlusion_Estimation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Pham_JSIS3D_Joint_Semantic-Instance_Segmentation_of_3D_Point_Clouds_With_Multi-Task_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Quang-Hieu Pham; Thanh Nguyen; Binh-Son Hua; Gemma Roig; Sai-Kit Yeung", + "aff": "Hong Kong University of Science and Technology; The University of Tokyo; Singapore University of Technology and Design; Deakin University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Pham_JSIS3D_Joint_Semantic-Instance_Segmentation_of_3D_Point_Clouds_With_Multi-Task_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Joint Discriminative and Generative Learning for Person Re-Identification", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zheng_Joint_Discriminative_and_Generative_Learning_for_Person_Re-Identification_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhedong Zheng; Xiaodong Yang; Zhiding Yu; Liang Zheng; Yi Yang; Jan Kautz", + "aff": "NVIDIA, CAI, University of Technology Sydney; CAI, University of Technology Sydney; Australian National University; NVIDIA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zheng_Joint_Discriminative_and_Generative_Learning_for_Person_Re-Identification_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Joint Face Detection and Facial Motion Retargeting for Multiple Faces", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chaudhuri_Joint_Face_Detection_and_Facial_Motion_Retargeting_for_Multiple_Faces_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Bindita Chaudhuri; Noranart Vesdapunt; Baoyuan Wang", + "aff": "Microsoft Corporation; University of Washington", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chaudhuri_Joint_Face_Detection_and_Facial_Motion_Retargeting_for_Multiple_Faces_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Joint Manifold Diffusion for Combining Predictions on Decoupled Observations", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kim_Joint_Manifold_Diffusion_for_Combining_Predictions_on_Decoupled_Observations_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kwang In Kim; Hyung Jin Chang", + "aff": "University of Birmingham; UNIST", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kim_Joint_Manifold_Diffusion_for_Combining_Predictions_on_Decoupled_Observations_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Joint_Representation_and_Estimator_Learning_for_Facial_Action_Unit_Intensity_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yong Zhang; Baoyuan Wu; Weiming Dong; Zhifeng Li; Wei Liu; Bao-Gang Hu; Qiang Ji", + "aff": "Tencent AI Lab; Rensselaer Polytechnic Institute; National Laboratory of Pattern Recognition, CASIA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Joint_Representation_and_Estimator_Learning_for_Facial_Action_Unit_Intensity_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Joint Representative Selection and Feature Learning: A Semi-Supervised Approach", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Joint_Representative_Selection_and_Feature_Learning_A_Semi-Supervised_Approach_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Suchen Wang; Jingjing Meng; Junsong Yuan; Yap-Peng Tan", + "aff": "Nanyang Technological University; State University of New York at Buffalo", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Joint_Representative_Selection_and_Feature_Learning_A_Semi-Supervised_Approach_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure From Motion", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kumar_Jumping_Manifolds_Geometry_Aware_Dense_Non-Rigid_Structure_From_Motion_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Suryansh Kumar", + "aff": "Australian National University, CECS, Canberra, ACT, 2601", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kumar_Jumping_Manifolds_Geometry_Aware_Dense_Non-Rigid_Structure_From_Motion_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "K-Nearest Neighbors Hashing", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/He_K-Nearest_Neighbors_Hashing_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiangyu He; Peisong Wang; Jian Cheng", + "aff": "NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; Center for Excellence in Brain Science and Intelligence Technology, CAS, Beijing, China; NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China; NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/He_K-Nearest_Neighbors_Hashing_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "KE-GAN: Knowledge Embedded Generative Adversarial Networks for Semi-Supervised Scene Parsing", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Qi_KE-GAN_Knowledge_Embedded_Generative_Adversarial_Networks_for_Semi-Supervised_Scene_Parsing_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Mengshi Qi; Yunhong Wang; Jie Qin; Annan Li", + "aff": "Beijing Advanced Innovation Center for Big Data and Brain Computing; State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, China; Inception Institute of Arti\ufb01cial Intelligence, UAE", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Qi_KE-GAN_Knowledge_Embedded_Generative_Adversarial_Networks_for_Semi-Supervised_Scene_Parsing_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Kernel Transformer Networks for Compact Spherical Convolution", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "http://vision.cs.utexas.edu/projects/ktn/", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Su_Kernel_Transformer_Networks_for_Compact_Spherical_Convolution_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yu-Chuan Su; Kristen Grauman", + "aff": "Facebook AI Research, The University of Texas at Austin; The University of Texas at Austin", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Su_Kernel_Transformer_Networks_for_Compact_Spherical_Convolution_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Kervolutional Neural Networks", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Kervolutional_Neural_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chen Wang; Jianfei Yang; Lihua Xie; Junsong Yuan", + "aff": "Computer Science and Engineering Department, State University of New York at Buffalo, USA; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Kervolutional_Neural_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Knockoff Nets: Stealing Functionality of Black-Box Models", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Orekondy_Knockoff_Nets_Stealing_Functionality_of_Black-Box_Models_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Tribhuvanesh Orekondy; Bernt Schiele; Mario Fritz", + "aff": "CISPA Helmholtz Center for Information Security; Max Planck Institute for Informatics", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Orekondy_Knockoff_Nets_Stealing_Functionality_of_Black-Box_Models_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Knowing_When_to_Stop_Evaluation_and_Verification_of_Conformity_to_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chenglong Wang; Rudy Bunel; Krishnamurthy Dvijotham; Po-Sen Huang; Edward Grefenstette; Pushmeet Kohli", + "aff": "DeepMind; University of Washington; University of Oxford", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Knowing_When_to_Stop_Evaluation_and_Verification_of_Conformity_to_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Knowledge Adaptation for Efficient Semantic Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/He_Knowledge_Adaptation_for_Efficient_Semantic_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Tong He; Chunhua Shen; Zhi Tian; Dong Gong; Changming Sun; Youliang Yan", + "aff": "Noah\u2019s Ark Lab, Huawei Technologies; Data61, CSIRO; The University of Adelaide", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/He_Knowledge_Adaptation_for_Efficient_Semantic_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Knowledge Distillation via Instance Relationship Graph", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Knowledge_Distillation_via_Instance_Relationship_Graph_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yufan Liu; Jiajiong Cao; Bing Li; Chunfeng Yuan; Weiming Hu; Yangxi Li; Yunqiang Duan", + "aff": "Not provided in the text; National Computer Network Emergency Response Technical Team/Coordination Center of China; NLPR, Institute of Automation, Chinese Academy of Sciences; Ant Financial", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Knowledge_Distillation_via_Instance_Relationship_Graph_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Knowledge-Embedded Routing Network for Scene Graph Generation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Knowledge-Embedded_Routing_Network_for_Scene_Graph_Generation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Tianshui Chen; Weihao Yu; Riquan Chen; Liang Lin", + "aff": "Sun Yat-Sen University; Sun Yat-Sen University, DarkMatter AI Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Knowledge-Embedded_Routing_Network_for_Scene_Graph_Generation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "L3-Net: Towards Learning Based LiDAR Localization for Autonomous Driving", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lu_L3-Net_Towards_Learning_Based_LiDAR_Localization_for_Autonomous_Driving_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Weixin Lu; Yao Zhou; Guowei Wan; Shenhua Hou; Shiyu Song", + "aff": "Baidu Autonomous Driving Business Unit (ADU)", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lu_L3-Net_Towards_Learning_Based_LiDAR_Localization_for_Autonomous_Driving_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "LAEO-Net: Revisiting People Looking at Each Other in Videos", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Marin-Jimenez_LAEO-Net_Revisiting_People_Looking_at_Each_Other_in_Videos_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Manuel J. Mar\u00c3\u00adn-Jim\u00c3\u00a9nez; Vicky Kalogeiton; Pablo Medina-Su\u00c3\u00a1rez; Andrew Zisserman", + "aff": "University of Cordoba; University of Oxford", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Marin-Jimenez_LAEO-Net_Revisiting_People_Looking_at_Each_Other_in_Videos_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kim_LAF-Net_Locally_Adaptive_Fusion_Networks_for_Stereo_Confidence_Estimation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Sunok Kim; Seungryong Kim; Dongbo Min; Kwanghoon Sohn", + "aff": "Yonsei University, Ecole polytechnique f\u00e9d\u00e9rale de Lausanne (EPFL); Ewha Womans University; Yonsei University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kim_LAF-Net_Locally_Adaptive_Fusion_Networks_for_Stereo_Confidence_Estimation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "LBS Autoencoder: Self-Supervised Fitting of Articulated Meshes to Point Clouds", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_LBS_Autoencoder_Self-Supervised_Fitting_of_Articulated_Meshes_to_Point_Clouds_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chun-Liang Li; Tomas Simon; Jason Saragih; Barnab\u00c3\u00a1s P\u00c3\u00b3czos; Yaser Sheikh", + "aff": "Carnegie Mellon University and Facebook Reality Labs; Carnegie Mellon University; Facebook Reality Labs", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_LBS_Autoencoder_Self-Supervised_Fitting_of_Articulated_Meshes_to_Point_Clouds_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "LO-Net: Deep Real-Time Lidar Odometry", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_LO-Net_Deep_Real-Time_Lidar_Odometry_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Qing Li; Shaoyang Chen; Cheng Wang; Xin Li; Chenglu Wen; Ming Cheng; Jonathan Li", + "aff": "Louisiana State University, Louisiana, USA; Xiamen University, Fujian, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_LO-Net_Deep_Real-Time_Lidar_Odometry_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kumawat_LP-3DCNN_Unveiling_Local_Phase_in_3D_Convolutional_Neural_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Sudhakar Kumawat; Shanmuganathan Raman", + "aff": "Indian Institute of Technology Gandhinagar", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kumawat_LP-3DCNN_Unveiling_Local_Phase_in_3D_Convolutional_Neural_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "LSTA: Long Short-Term Attention for Egocentric Action Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Sudhakaran_LSTA_Long_Short-Term_Attention_for_Egocentric_Action_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Swathikiran Sudhakaran; Sergio Escalera; Oswald Lanz", + "aff": "Fondazione Bruno Kessler, Trento, Italy and University of Trento, Trento, Italy; Computer Vision Center, Barcelona, Spain and Universitat de Barcelona, Barcelona, Spain; Fondazione Bruno Kessler, Trento, Italy", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Sudhakaran_LSTA_Long_Short-Term_Attention_for_Egocentric_Action_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "LVIS: A Dataset for Large Vocabulary Instance Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "http://www.lvisdataset.org", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Gupta_LVIS_A_Dataset_for_Large_Vocabulary_Instance_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Agrim Gupta; Piotr Doll\u00c3\u00a1r; Ross Girshick", + "aff": "Facebook AI Research (FAIR)", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Gupta_LVIS_A_Dataset_for_Large_Vocabulary_Instance_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Alfassy_LaSO_Label-Set_Operations_Networks_for_Multi-Label_Few-Shot_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Amit Alfassy; Leonid Karlinsky; Amit Aides; Joseph Shtok; Sivan Harary; Rogerio Feris; Raja Giryes; Alex M. Bronstein", + "aff": "IBM Research AI; Technion; Tel-Aviv University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Alfassy_LaSO_Label-Set_Operations_Networks_for_Multi-Label_Few-Shot_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://cis.temple.edu/lasot/", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Fan_LaSOT_A_High-Quality_Benchmark_for_Large-Scale_Single_Object_Tracking_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Heng Fan; Liting Lin; Fan Yang; Peng Chu; Ge Deng; Sijia Yu; Hexin Bai; Yong Xu; Chunyuan Liao; Haibin Ling", + "aff": "School of Computer Science & Engineering, South China Univ. of Tech., Guangzhou, Peng Cheng Laboratory, Shenzhen, China; Meitu HiScene Lab, HiScene Information Technologies, Shanghai, China; Department of Computer and Information Sciences, Temple University, Philadelphia, USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Fan_LaSOT_A_High-Quality_Benchmark_for_Large-Scale_Single_Object_Tracking_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Label Efficient Semi-Supervised Learning via Graph Filtering", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Label_Efficient_Semi-Supervised_Learning_via_Graph_Filtering_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Qimai Li; Xiao-Ming Wu; Han Liu; Xiaotong Zhang; Zhichao Guan", + "aff": "Zhejiang University; The Hong Kong Polytechnic University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Label_Efficient_Semi-Supervised_Learning_via_Graph_Filtering_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Label Propagation for Deep Semi-Supervised Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Iscen_Label_Propagation_for_Deep_Semi-Supervised_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ahmet Iscen; Giorgos Tolias; Yannis Avrithis; Ond\u00c5\u0099ej Chum", + "aff": "Univ Rennes, Inria, CNRS, IRISA; VRG, FEE, CTU in Prague", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Iscen_Label_Propagation_for_Deep_Semi-Supervised_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Label-Noise Robust Generative Adversarial Networks", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kaneko_Label-Noise_Robust_Generative_Adversarial_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Takuhiro Kaneko; Yoshitaka Ushiku; Tatsuya Harada", + "aff": "The University of Tokyo; The University of Tokyo, RIKEN", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kaneko_Label-Noise_Robust_Generative_Adversarial_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Language-Driven Temporal Activity Localization: A Semantic Matching Reinforcement Learning Model", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Language-Driven_Temporal_Activity_Localization_A_Semantic_Matching_Reinforcement_Learning_Model_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Weining Wang; Yan Huang; Liang Wang", + "aff": "Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR); Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Institute of Automation, Chinese Academy of Sciences (CASIA), University of Chinese Academy of Sciences (UCAS), Artificial Intelligence Research, Chinese Academy of Sciences (CAS-AIR)", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Language-Driven_Temporal_Activity_Localization_A_Semantic_Matching_Reinforcement_Learning_Model_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/calebrob6/land-cover", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Robinson_Large_Scale_High-Resolution_Land_Cover_Mapping_With_Multi-Resolution_Data_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Caleb Robinson; Le Hou; Kolya Malkin; Rachel Soobitsky; Jacob Czawlytko; Bistra Dilkina; Nebojsa Jojic", + "aff": "Chesapeake Conservancy; Microsoft Research; Yale University; Georgia Institute of Technology; University of Southern California; Stony Brook University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Robinson_Large_Scale_High-Resolution_Land_Cover_Mapping_With_Multi-Resolution_Data_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Large Scale Incremental Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wu_Large_Scale_Incremental_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yue Wu; Yinpeng Chen; Lijuan Wang; Yuancheng Ye; Zicheng Liu; Yandong Guo; Yun Fu", + "aff": "Northeastern University; Microsoft Research; City University of New York", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wu_Large_Scale_Incremental_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Osawa_Large-Scale_Distributed_Second-Order_Optimization_Using_Kronecker-Factored_Approximate_Curvature_for_Deep_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kazuki Osawa; Yohei Tsuji; Yuichiro Ueno; Akira Naruse; Rio Yokota; Satoshi Matsuoka", + "aff": "School of Computing, Tokyo Institute of Technology; Global Scientific Information and Computing Center, Tokyo Institute of Technology; RIKEN Center for Computational Science; NVIDIA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Osawa_Large-Scale_Distributed_Second-Order_Optimization_Using_Kronecker-Factored_Approximate_Curvature_for_Deep_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Large-Scale_Few-Shot_Learning_Knowledge_Transfer_With_Class_Hierarchy_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Aoxue Li; Tiange Luo; Zhiwu Lu; Tao Xiang; Liwei Wang", + "aff": "School of Information, Renmin University of China, Beijing 100872, China; School of EECS, Peking University, Beijing 100871, China; Department of Electrical and Electronic Engineering, University of Surrey, UK", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Large-Scale_Few-Shot_Learning_Knowledge_Transfer_With_Class_Hierarchy_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Large-Scale Interactive Object Segmentation With Human Annotators", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Benenson_Large-Scale_Interactive_Object_Segmentation_With_Human_Annotators_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Rodrigo Benenson; Stefan Popov; Vittorio Ferrari", + "aff": "Google Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Benenson_Large-Scale_Interactive_Object_Segmentation_With_Human_Annotators_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Large-Scale Long-Tailed Recognition in an Open World", + "status": "Oral", + "site": "", + "track": "main", + "project": "https://liuziwei7.github.io/projects/LongTail.html", + "github": "https://github.com/liuziwei7/LongTail", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Large-Scale_Long-Tailed_Recognition_in_an_Open_World_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ziwei Liu; Zhongqi Miao; Xiaohang Zhan; Jiayun Wang; Boqing Gong; Stella X. Yu", + "aff": "The Chinese University of Hong Kong; UC Berkeley / ICSI", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Large-Scale_Long-Tailed_Recognition_in_an_Open_World_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Large-Scale Weakly-Supervised Pre-Training for Video Action Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ghadiyaram_Large-Scale_Weakly-Supervised_Pre-Training_for_Video_Action_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Deepti Ghadiyaram; Du Tran; Dhruv Mahajan", + "aff": "Facebook AI", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ghadiyaram_Large-Scale_Weakly-Supervised_Pre-Training_for_Video_Action_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Large-Scale, Metric Structure From Motion for Unordered Light Fields", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Nousias_Large-Scale_Metric_Structure_From_Motion_for_Unordered_Light_Fields_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Sotiris Nousias; Manolis Lourakis; Christos Bergeles", + "aff": "King\u2019s College London; FORTH; University College London", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Nousias_Large-Scale_Metric_Structure_From_Motion_for_Unordered_Light_Fields_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Meyer_LaserNet_An_Efficient_Probabilistic_3D_Object_Detector_for_Autonomous_Driving_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Gregory P. Meyer; Ankit Laddha; Eric Kee; Carlos Vallespi-Gonzalez; Carl K. Wellington", + "aff": "Uber Advanced Technologies Group", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Meyer_LaserNet_An_Efficient_Probabilistic_3D_Object_Detector_for_Autonomous_Driving_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Latent Filter Scaling for Multimodal Unsupervised Image-To-Image Translation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Alharbi_Latent_Filter_Scaling_for_Multimodal_Unsupervised_Image-To-Image_Translation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yazeed Alharbi; Neil Smith; Peter Wonka", + "aff": "King Abdullah University for Science and Technology (KAUST); KAUST", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Alharbi_Latent_Filter_Scaling_for_Multimodal_Unsupervised_Image-To-Image_Translation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Latent Space Autoregression for Novelty Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Abati_Latent_Space_Autoregression_for_Novelty_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Davide Abati; Angelo Porrello; Simone Calderara; Rita Cucchiara", + "aff": "University of Modena and Reggio Emilia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Abati_Latent_Space_Autoregression_for_Novelty_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Layout-Graph Reasoning for Fashion Landmark Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yu_Layout-Graph_Reasoning_for_Fashion_Landmark_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Weijiang Yu; Xiaodan Liang; Ke Gong; Chenhan Jiang; Nong Xiao; Liang Lin", + "aff": "Sun Yat-sen University; Sun Yat-sen University, DarkMatter AI Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yu_Layout-Graph_Reasoning_for_Fashion_Landmark_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning 3D Human Dynamics From Video", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://akanazawa.github.io/human_dynamics/", + "github": "https://github.com/akanazawa/human_dynamics", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kanazawa_Learning_3D_Human_Dynamics_From_Video_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Angjoo Kanazawa; Jason Y. Zhang; Panna Felsen; Jitendra Malik", + "aff": "University of California, Berkeley", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kanazawa_Learning_3D_Human_Dynamics_From_Video_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Active Contour Models for Medical Image Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Learning_Active_Contour_Models_for_Medical_Image_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xu Chen; Bryan M. Williams; Srinivasa R. Vallabhaneni; Gabriela Czanner; Rachel Williams; Yalin Zheng", + "aff": "Department of Eye and Vision Science, Institute of Ageing and Chronic Disease, University of Liverpool, L7 8TX, UK; Department of Applied Mathematics, Liverpool John Moores University, L3 3AF, UK; Department of Eye and Vision Science, Institute of Ageing and Chronic Disease, University of Liverpool, L7 8TX, UK; Liverpool Vascular & Endovascular Service, Royal Liverpool University Hospital, L7 8XP, UK; Department of Eye and Vision Science, Institute of Ageing and Chronic Disease, University of Liverpool, L7 8TX, UK", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Learning_Active_Contour_Models_for_Medical_Image_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Actor Relation Graphs for Group Activity Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wu_Learning_Actor_Relation_Graphs_for_Group_Activity_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jianchao Wu; Limin Wang; Li Wang; Jie Guo; Gangshan Wu", + "aff": "State Key Laboratory for Novel Software Technology, Nanjing University, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wu_Learning_Actor_Relation_Graphs_for_Group_Activity_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Attraction Field Representation for Robust Line Segment Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/cherubicXN/afm_cvpr2019", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xue_Learning_Attraction_Field_Representation_for_Robust_Line_Segment_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Nan Xue; Song Bai; Fudong Wang; Gui-Song Xia; Tianfu Wu; Liangpei Zhang", + "aff": "Wuhan University, China; NC State University, USA; University of Oxford, UK", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xue_Learning_Attraction_Field_Representation_for_Robust_Line_Segment_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Binary Code for Personalized Fashion Recommendation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lu_Learning_Binary_Code_for_Personalized_Fashion_Recommendation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhi Lu; Yang Hu; Yunchao Jiang; Yan Chen; Bing Zeng", + "aff": "School of Information and Communication Engineering, University of Electronic Science and Technology of China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lu_Learning_Binary_Code_for_Personalized_Fashion_Recommendation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Channel-Wise Interactions for Binary Convolutional Neural Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Learning_Channel-Wise_Interactions_for_Binary_Convolutional_Neural_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ziwei Wang; Jiwen Lu; Chenxin Tao; Jie Zhou; Qi Tian", + "aff": "State Key Lab of Intelligent Technologies and Systems, China; Huawei Noah\u2019s Ark Lab, China; Beijing National Research Center for Information Science and Technology, China; Department of Automation, Tsinghua University, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Learning_Channel-Wise_Interactions_for_Binary_Convolutional_Neural_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Context Graph for Person Search", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yan_Learning_Context_Graph_for_Person_Search_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yichao Yan; Qiang Zhang; Bingbing Ni; Wendong Zhang; Minghao Xu; Xiaokang Yang", + "aff": "MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, China; Shanghai Jiao Tong University, China; MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, China; Tencent YouTu Lab, China; Inception Institute of Artificial Intelligence, UAE; Shanghai Jiao Tong University, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yan_Learning_Context_Graph_for_Person_Search_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Correspondence From the Cycle-Consistency of Time", + "status": "Oral", + "site": "", + "track": "main", + "project": "http://ajabri.github.io/timecycle", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Learning_Correspondence_From_the_Cycle-Consistency_of_Time_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiaolong Wang; Allan Jabri; Alexei A. Efros", + "aff": "Carnegie Mellon University; UC Berkeley", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Learning_Correspondence_From_the_Cycle-Consistency_of_Time_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Learning_Cross-Modal_Embeddings_With_Adversarial_Networks_for_Cooking_Recipes_and_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hao Wang; Doyen Sahoo; Chenghao Liu; Ee-peng Lim; Steven C. H. Hoi", + "aff": "Singapore Management University; Singapore Management University, Salesforce Research Asia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Learning_Cross-Modal_Embeddings_With_Adversarial_Networks_for_Cooking_Recipes_and_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning From Noisy Labels by Regularized Estimation of Annotator Confusion", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tanno_Learning_From_Noisy_Labels_by_Regularized_Estimation_of_Annotator_Confusion_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ryutaro Tanno; Ardavan Saeedi; Swami Sankaranarayanan; Daniel C. Alexander; Nathan Silberman", + "aff": "University College London, UK; Butterfly Network, New York, USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tanno_Learning_From_Noisy_Labels_by_Regularized_Estimation_of_Annotator_Confusion_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning From Synthetic Data for Crowd Counting in the Wild", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://gjy3035.github.io/GCC-CL/", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Learning_From_Synthetic_Data_for_Crowd_Counting_in_the_Wild_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Qi Wang; Junyu Gao; Wei Lin; Yuan Yuan", + "aff": "School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an, Shaanxi, P. R. China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Learning_From_Synthetic_Data_for_Crowd_Counting_in_the_Wild_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Image and Video Compression Through Spatial-Temporal Energy Compaction", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Cheng_Learning_Image_and_Video_Compression_Through_Spatial-Temporal_Energy_Compaction_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhengxue Cheng; Heming Sun; Masaru Takeuchi; Jiro Katto", + "aff": "Department of Computer Science and Communication Engineering, Waseda University, Tokyo, Japan", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Cheng_Learning_Image_and_Video_Compression_Through_Spatial-Temporal_Energy_Compaction_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Implicit Fields for Generative Shape Modeling", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/czq142857/implicit-decoder", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Learning_Implicit_Fields_for_Generative_Shape_Modeling_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhiqin Chen; Hao Zhang", + "aff": "Simon Fraser University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Learning_Implicit_Fields_for_Generative_Shape_Modeling_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Independent Object Motion From Unlabelled Stereoscopic Videos", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Cao_Learning_Independent_Object_Motion_From_Unlabelled_Stereoscopic_Videos_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhe Cao; Abhishek Kar; Christian H\u00c3\u00a4ne; Jitendra Malik", + "aff": "Fyusion Inc.; UC Berkeley; Google", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Cao_Learning_Independent_Object_Motion_From_Unlabelled_Stereoscopic_Videos_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Individual Styles of Conversational Gesture", + "status": "Poster", + "site": "", + "track": "main", + "project": "http://people.eecs.berkeley.edu/~shiry/gestures.html", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ginosar_Learning_Individual_Styles_of_Conversational_Gesture_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Shiry Ginosar; Amir Bar; Gefen Kohavi; Caroline Chan; Andrew Owens; Jitendra Malik", + "aff": "MIT; UC Berkeley; Zebra Medical Vision", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ginosar_Learning_Individual_Styles_of_Conversational_Gesture_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Instance Activation Maps for Weakly Supervised Instance Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhu_Learning_Instance_Activation_Maps_for_Weakly_Supervised_Instance_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yi Zhu; Yanzhao Zhou; Huijuan Xu; Qixiang Ye; David Doermann; Jianbin Jiao", + "aff": "University of Chinese Academy of Sciences; University at Buffalo; University of California, Berkeley", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhu_Learning_Instance_Activation_Maps_for_Weakly_Supervised_Instance_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Joint Gait Representation via Quintuplet Loss Minimization", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Learning_Joint_Gait_Representation_via_Quintuplet_Loss_Minimization_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kaihao Zhang; Wenhan Luo; Lin Ma; Wei Liu; Hongdong Li", + "aff": "Tencent AI Lab; Australian National University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Learning_Joint_Gait_Representation_via_Quintuplet_Loss_Minimization_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Joint Reconstruction of Hands and Manipulated Objects", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hasson_Learning_Joint_Reconstruction_of_Hands_and_Manipulated_Objects_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yana Hasson; G\u00c3\u00bcl Varol; Dimitrios Tzionas; Igor Kalevatykh; Michael J. Black; Ivan Laptev; Cordelia Schmid", + "aff": "MPI for Intelligent Systems, T\u00fcbingen; Inria, D\u00e9partement d\u2019informatique de l\u2019ENS, CNRS, PSL Research University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hasson_Learning_Joint_Reconstruction_of_Hands_and_Manipulated_Objects_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Linear Transformations for Fast Image and Video Style Transfer", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://sites.google.com/view/linear-style-transfer-cvpr19", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Learning_Linear_Transformations_for_Fast_Image_and_Video_Style_Transfer_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xueting Li; Sifei Liu; Jan Kautz; Ming-Hsuan Yang", + "aff": "University of California, Merced; University of California, Merced and Google Cloud; NVIDIA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Learning_Linear_Transformations_for_Fast_Image_and_Video_Style_Transfer_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Loss for Active Learning", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yoo_Learning_Loss_for_Active_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Donggeun Yoo; In So Kweon", + "aff": "Lunit Inc., Seoul, South Korea; KAIST, Daejeon, South Korea", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yoo_Learning_Loss_for_Active_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Metrics From Teachers: Compact Networks for Image Embedding", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/yulu0724/EmbeddingDistillation", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yu_Learning_Metrics_From_Teachers_Compact_Networks_for_Image_Embedding_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Lu Yu; Vacit Oguz Yazici; Xialei Liu; Joost van de Weijer; Yongmei Cheng; Arnau Ramisa", + "aff": "School of Automation, Northwestern Polytechnical University, Xi\u2019an, China; Wide-Eyes Technologies, Barcelona, Spain; Computer Vision Center, Universitat Autonoma de Barcelona, Barcelona, Spain", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yu_Learning_Metrics_From_Teachers_Compact_Networks_for_Image_Embedding_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/fabiotosi92/monoResMatch-Tensorflow", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tosi_Learning_Monocular_Depth_Estimation_Infusing_Traditional_Stereo_Knowledge_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Fabio Tosi; Filippo Aleotti; Matteo Poggi; Stefano Mattoccia", + "aff": "Department of Computer Science and Engineering (DISI), University of Bologna, Italy", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tosi_Learning_Monocular_Depth_Estimation_Infusing_Traditional_Stereo_Knowledge_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Multi-Class Segmentations From Single-Class Datasets", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Dmitriev_Learning_Multi-Class_Segmentations_From_Single-Class_Datasets_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Konstantin Dmitriev; Arie E. Kaufman", + "aff": "Stony Brook University, Stony Brook, NY", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Dmitriev_Learning_Multi-Class_Segmentations_From_Single-Class_Datasets_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Non-Volumetric Depth Fusion Using Successive Reprojections", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Donne_Learning_Non-Volumetric_Depth_Fusion_Using_Successive_Reprojections_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Simon Donn\u00c3\u00a9; Andreas Geiger", + "aff": "Autonomous Vision Group, MPI for Intelligent Systems and University of T \u00b4ubingen", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Donne_Learning_Non-Volumetric_Depth_Fusion_Using_Successive_Reprojections_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Not to Learn: Training Deep Neural Networks With Biased Data", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kim_Learning_Not_to_Learn_Training_Deep_Neural_Networks_With_Biased_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Byungju Kim; Hyunwoo Kim; Kyungsu Kim; Sungjin Kim; Junmo Kim", + "aff": "School of Electrical Engineering, KAIST, South Korea; Beijing Institute of Technology; Samsung Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kim_Learning_Not_to_Learn_Training_Deep_Neural_Networks_With_Biased_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Parallax Attention for Stereo Image Super-Resolution", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Learning_Parallax_Attention_for_Stereo_Image_Super-Resolution_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Longguang Wang; Yingqian Wang; Zhengfa Liang; Zaiping Lin; Jungang Yang; Wei An; Yulan Guo", + "aff": "College of Electronic Science and Technology, National University of Defense Technology, China; National Key Laboratory of Science and Technology on Blind Signal Processing, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Learning_Parallax_Attention_for_Stereo_Image_Super-Resolution_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Personalized Modular Network Guided by Structured Knowledge", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liang_Learning_Personalized_Modular_Network_Guided_by_Structured_Knowledge_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiaodan Liang", + "aff": "Sun Yat-sen University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liang_Learning_Personalized_Modular_Network_Guided_by_Structured_Knowledge_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zeng_Learning_Pyramid-Context_Encoder_Network_for_High-Quality_Image_Inpainting_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yanhong Zeng; Jianlong Fu; Hongyang Chao; Baining Guo", + "aff": "School of Data and Computer Science, Sun Yat-sen University, Guangzhou, P.R. China; The Key Laboratory of Machine Intelligence and Advanced Computing (Sun Yat-sen University), Ministry of Education, Guangzhou, P.R. China; Microsoft Research, Beijing, P.R. China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zeng_Learning_Pyramid-Context_Encoder_Network_for_High-Quality_Image_Inpainting_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Morais_Learning_Regularity_in_Skeleton_Trajectories_for_Anomaly_Detection_in_Videos_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Romero Morais; Vuong Le; Truyen Tran; Budhaditya Saha; Moussa Mansour; Svetha Venkatesh", + "aff": "iCetana, Inc. | University of Western Australia, Australia; Applied Arti\ufb01cial Intelligence Institute, Deakin University, Australia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Morais_Learning_Regularity_in_Skeleton_Trajectories_for_Anomaly_Detection_in_Videos_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning RoI Transformer for Oriented Object Detection in Aerial Images", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ding_Learning_RoI_Transformer_for_Oriented_Object_Detection_in_Aerial_Images_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jian Ding; Nan Xue; Yang Long; Gui-Song Xia; Qikai Lu", + "aff": "LIESMARS-CAPTAIN, Wuhan University, Wuhan, 430079, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ding_Learning_RoI_Transformer_for_Oriented_Object_Detection_in_Aerial_Images_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Semantic Segmentation From Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "http://github.com/yuhuayc/gio-ada", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Learning_Semantic_Segmentation_From_Synthetic_Data_A_Geometrically_Guided_Input-Output_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yuhua Chen; Wen Li; Xiaoran Chen; Luc Van Gool", + "aff": "Computer Vision Laboratory, ETH Zurich and VISICS, ESAT/PSI, KU Leuven; Computer Vision Laboratory, ETH Zurich", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Learning_Semantic_Segmentation_From_Synthetic_Data_A_Geometrically_Guided_Input-Output_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Shape-Aware Embedding for Scene Text Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tian_Learning_Shape-Aware_Embedding_for_Scene_Text_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhuotao Tian; Michelle Shu; Pengyuan Lyu; Ruiyu Li; Chao Zhou; Xiaoyong Shen; Jiaya Jia", + "aff": "The Chinese University of Hong Kong, YouTu Lab, Tencent; The Chinese University of Hong Kong; Johns Hopkins University; YouTu Lab, Tencent", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tian_Learning_Shape-Aware_Embedding_for_Scene_Text_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Single-Image Depth From Videos Using Quality Assessment Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "http://www-personal.umich.edu/~wfchen/youtube3d", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Learning_Single-Image_Depth_From_Videos_Using_Quality_Assessment_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Weifeng Chen; Shengyi Qian; Jia Deng", + "aff": "Princeton University; University of Michigan, Ann Arbor", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Learning_Single-Image_Depth_From_Videos_Using_Quality_Assessment_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Spatial Common Sense With Geometry-Aware Recurrent Networks", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tung_Learning_Spatial_Common_Sense_With_Geometry-Aware_Recurrent_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hsiao-Yu Fish Tung; Ricson Cheng; Katerina Fragkiadaki", + "aff": "Uber Advanced Technologies Group; Carnegie Mellon University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tung_Learning_Spatial_Common_Sense_With_Geometry-Aware_Recurrent_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Spatio-Temporal Representation With Local and Global Diffusion", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Qiu_Learning_Spatio-Temporal_Representation_With_Local_and_Global_Diffusion_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhaofan Qiu; Ting Yao; Chong-Wah Ngo; Xinmei Tian; Tao Mei", + "aff": "City University of Hong Kong, Kowloon, Hong Kong; University of Science and Technology of China, Hefei, China; JD AI Research, Beijing, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Qiu_Learning_Spatio-Temporal_Representation_With_Local_and_Global_Diffusion_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Structure-And-Motion-Aware Rolling Shutter Correction", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhuang_Learning_Structure-And-Motion-Aware_Rolling_Shutter_Correction_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Bingbing Zhuang; Quoc-Huy Tran; Pan Ji; Loong-Fah Cheong; Manmohan Chandraker", + "aff": "University of California, San Diego; National University of Singapore; NEC Labs America", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhuang_Learning_Structure-And-Motion-Aware_Rolling_Shutter_Correction_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Transformation Synchronization", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Huang_Learning_Transformation_Synchronization_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiangru Huang; Zhenxiao Liang; Xiaowei Zhou; Yao Xie; Leonidas J. Guibas; Qixing Huang", + "aff": "Facebook AI Research, Stanford University; Georgia Tech; Zhejiang University\u2217; UT Austin", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Huang_Learning_Transformation_Synchronization_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Unsupervised Video Object Segmentation Through Visual Attention", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/wenguanwang/AGS", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Learning_Unsupervised_Video_Object_Segmentation_Through_Visual_Attention_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wenguan Wang; Hongmei Song; Shuyang Zhao; Jianbing Shen; Sanyuan Zhao; Steven C. H. Hoi; Haibin Ling", + "aff": "Singapore Management University, Singapore; Salesforce Research Asia, Singapore; Beijing Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, China; Beijing Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, China; Inception Institute of Arti\ufb01cial Intelligence, UAE; Temple University, USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Learning_Unsupervised_Video_Object_Segmentation_Through_Visual_Attention_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Video Representations From Correspondence Proposals", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Learning_Video_Representations_From_Correspondence_Proposals_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xingyu Liu; Joon-Young Lee; Hailin Jin", + "aff": "", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Learning_Video_Representations_From_Correspondence_Proposals_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning View Priors for Single-View 3D Reconstruction", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kato_Learning_View_Priors_for_Single-View_3D_Reconstruction_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hiroharu Kato; Tatsuya Harada", + "aff": "The University of Tokyo; The University of Tokyo, RIKEN", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kato_Learning_View_Priors_for_Single-View_3D_Reconstruction_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning With Batch-Wise Optimal Transport Loss for 3D Shape Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xu_Learning_With_Batch-Wise_Optimal_Transport_Loss_for_3D_Shape_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Lin Xu; Han Sun; Yuai Liu", + "aff": "Nanjing Institute of Advanced Artificial Intelligence, Horizon Robotics", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xu_Learning_With_Batch-Wise_Optimal_Transport_Loss_for_3D_Shape_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Without Memorizing", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Dhar_Learning_Without_Memorizing_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Prithviraj Dhar; Rajat Vikram Singh; Kuan-Chuan Peng; Ziyan Wu; Rama Chellappa", + "aff": "University of Maryland, College Park, MD; Siemens Corporate Technology, Princeton, NJ", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Dhar_Learning_Without_Memorizing_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning Words by Drawing Images", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Suris_Learning_Words_by_Drawing_Images_CVPR_2019_paper.pdf", + "youtube": "", + "author": "D\u00c3\u00addac Sur\u00c3\u00ads; Adri\u00c3\u00a0 Recasens; David Bau; David Harwath; James Glass; Antonio Torralba", + "aff": "Massachusetts Institute of Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Suris_Learning_Words_by_Drawing_Images_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning a Deep ConvNet for Multi-Label Classification With Partial Labels", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Durand_Learning_a_Deep_ConvNet_for_Multi-Label_Classification_With_Partial_Labels_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Thibaut Durand; Nazanin Mehrasa; Greg Mori", + "aff": "Simon Fraser University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Durand_Learning_a_Deep_ConvNet_for_Multi-Label_Classification_With_Partial_Labels_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning a Unified Classifier Incrementally via Rebalancing", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hou_Learning_a_Unified_Classifier_Incrementally_via_Rebalancing_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Saihui Hou; Xinyu Pan; Chen Change Loy; Zilei Wang; Dahua Lin", + "aff": "The Chinese University of Hong Kong; University of Science and Technology of China; Nanyang Technological University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hou_Learning_a_Unified_Classifier_Incrementally_via_Rebalancing_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Seo_Learning_for_Single-Shot_Confidence_Calibration_in_Deep_Neural_Networks_Through_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Seonguk Seo; Paul Hongsuck Seo; Bohyung Han", + "aff": "Computer Vision Lab., ECE & ASRI, Seoul National University, Korea; Computer Vision Lab., POSTECH, Korea", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Seo_Learning_for_Single-Shot_Confidence_Calibration_in_Deep_Neural_Networks_Through_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning the Depths of Moving People by Watching Frozen People", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Learning_the_Depths_of_Moving_People_by_Watching_Frozen_People_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhengqi Li; Tali Dekel; Forrester Cole; Richard Tucker; Noah Snavely; Ce Liu; William T. Freeman", + "aff": "Google Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Learning_the_Depths_of_Moving_People_by_Watching_Frozen_People_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning to Adapt for Stereo", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tonioni_Learning_to_Adapt_for_Stereo_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Alessio Tonioni; Oscar Rahnama; Thomas Joy; Luigi Di Stefano; Thalaiyasingam Ajanthan; Philip H.S. Torr", + "aff": "University of Bologna; Australian National University; University of Oxford, FiveAI; University of Oxford", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tonioni_Learning_to_Adapt_for_Stereo_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning to Calibrate Straight Lines for Fisheye Image Rectification", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xue_Learning_to_Calibrate_Straight_Lines_for_Fisheye_Image_Rectification_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhucun Xue; Nan Xue; Gui-Song Xia; Weiming Shen", + "aff": "CAPTAIN-LIESMARS, Wuhan University, Wuhan, 430079, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xue_Learning_to_Calibrate_Straight_Lines_for_Fisheye_Image_Rectification_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning to Cluster Faces on an Affinity Graph", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yang_Learning_to_Cluster_Faces_on_an_Affinity_Graph_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Lei Yang; Xiaohang Zhan; Dapeng Chen; Junjie Yan; Chen Change Loy; Dahua Lin", + "aff": "SenseTime Group Limited; Nanyang Technological University; CUHK - SenseTime Joint Lab, The Chinese University of Hong Kong", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yang_Learning_to_Cluster_Faces_on_an_Affinity_Graph_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning to Compose Dynamic Tree Structures for Visual Contexts", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tang_Learning_to_Compose_Dynamic_Tree_Structures_for_Visual_Contexts_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kaihua Tang; Hanwang Zhang; Baoyuan Wu; Wenhan Luo; Wei Liu", + "aff": "Tencent AI Lab; Nanyang Technological University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tang_Learning_to_Compose_Dynamic_Tree_Structures_for_Visual_Contexts_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning to Detect Human-Object Interactions With Knowledge", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xu_Learning_to_Detect_Human-Object_Interactions_With_Knowledge_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Bingjie Xu; Yongkang Wong; Junnan Li; Qi Zhao; Mohan S. Kankanhalli", + "aff": "National University of Singapore; University of Minnesota", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xu_Learning_to_Detect_Human-Object_Interactions_With_Knowledge_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning to Explain With Complemental Examples", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kanehira_Learning_to_Explain_With_Complemental_Examples_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Atsushi Kanehira; Tatsuya Harada", + "aff": "The University of Tokyo, RIKEN; Preferred Networks", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kanehira_Learning_to_Explain_With_Complemental_Examples_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning to Explore Intrinsic Saliency for Stereoscopic Video", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Learning_to_Explore_Intrinsic_Saliency_for_Stereoscopic_Video_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Qiudan Zhang; Xu Wang; Shiqi Wang; Shikai Li; Sam Kwong; Jianmin Jiang", + "aff": "Department of Computer Science, City University of Hong Kong; College of Computer Science and Software Engineering, Shenzhen University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Learning_to_Explore_Intrinsic_Saliency_for_Stereoscopic_Video_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning to Extract Flawless Slow Motion From Blurry Videos", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Jin_Learning_to_Extract_Flawless_Slow_Motion_From_Blurry_Videos_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Meiguang Jin; Zhe Hu; Paolo Favaro", + "aff": "AutoNavi; University of Bern; Hikvision Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Jin_Learning_to_Extract_Flawless_Slow_Motion_From_Blurry_Videos_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning to Film From Professional Human Motion Videos", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Huang_Learning_to_Film_From_Professional_Human_Motion_Videos_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chong Huang; Chuan-En Lin; Zhenyu Yang; Yan Kong; Peng Chen; Xin Yang; Kwang-Ting Cheng", + "aff": "University of California, Santa Barbara; Hong Kong University of Science and Technology; Huazhong University of Science and Technology; Zhejiang University of Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Huang_Learning_to_Film_From_Professional_Human_Motion_Videos_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning to Generate Synthetic Data via Compositing", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tripathi_Learning_to_Generate_Synthetic_Data_via_Compositing_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Shashank Tripathi; Siddhartha Chandra; Amit Agrawal; Ambrish Tyagi; James M. Rehg; Visesh Chari", + "aff": "Amazon Lab126, Carnegie Mellon University; Amazon Lab126", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tripathi_Learning_to_Generate_Synthetic_Data_via_Compositing_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning to Learn From Noisy Labeled Data", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Learning_to_Learn_From_Noisy_Labeled_Data_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Junnan Li; Yongkang Wong; Qi Zhao; Mohan S. Kankanhalli", + "aff": "National University of Singapore; University of Minnesota", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Learning_to_Learn_From_Noisy_Labeled_Data_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/allenai/savn", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wortsman_Learning_to_Learn_How_to_Learn_Self-Adaptive_Visual_Navigation_Using_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Mitchell Wortsman; Kiana Ehsani; Mohammad Rastegari; Ali Farhadi; Roozbeh Mottaghi", + "aff": "PRIOR @ Allen Institute for AI; University of Washington", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wortsman_Learning_to_Learn_How_to_Learn_Self-Adaptive_Visual_Navigation_Using_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning to Learn Image Classifiers With Visual Analogy", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhou_Learning_to_Learn_Image_Classifiers_With_Visual_Analogy_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Linjun Zhou; Peng Cui; Shiqiang Yang; Wenwu Zhu; Qi Tian", + "aff": "Huawei Noah's Ark Lab; Tsinghua University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhou_Learning_to_Learn_Image_Classifiers_With_Visual_Analogy_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning to Learn Relation for Important People Detection in Still Images", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Learning_to_Learn_Relation_for_Important_People_Detection_in_Still_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wei-Hong Li; Fa-Ting Hong; Wei-Shi Zheng", + "aff": "School of Data and Computer Science, Sun Yat-sen University, China; VICO Group, School of Informatics, University of Edinburgh, United Kingdom; School of Data and Computer Science, Sun Yat-sen University, China; Accuvision Technology Co. Ltd.; Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China; School of Data and Computer Science, Sun Yat-sen University, China; Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Learning_to_Learn_Relation_for_Important_People_Detection_in_Still_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning to Localize Through Compressed Binary Maps", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wei_Learning_to_Localize_Through_Compressed_Binary_Maps_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xinkai Wei; Ioan Andrei B\u00c3\u00a2rsan; Shenlong Wang; Julieta Martinez; Raquel Urtasun", + "aff": "Uber Advanced Technologies Group, University of Waterloo; Uber Advanced Technologies Group; Uber Advanced Technologies Group, University of Toronto", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wei_Learning_to_Localize_Through_Compressed_Binary_Maps_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning to Minify Photometric Stereo", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Learning_to_Minify_Photometric_Stereo_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Junxuan Li; Antonio Robles-Kelly; Shaodi You; Yasuyuki Matsushita", + "aff": "Australian National University, College of Eng. and Comp. Sci., Acton, ACT 2601, Australia; Deakin University, Faculty of Sci., Eng. and Built Env., Waurn Ponds, VIC 3216, Australia; Osaka University, Graduate School of Information Science and Technology, Osaka 565-0871, Japan", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Learning_to_Minify_Photometric_Stereo_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Jung_Learning_to_Quantize_Deep_Networks_by_Optimizing_Quantization_Intervals_With_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Sangil Jung; Changyong Son; Seohyung Lee; Jinwoo Son; Jae-Joon Han; Youngjun Kwak; Sung Ju Hwang; Changkyu Choi", + "aff": "Samsung Advanced Institute of Technology (SAIT), South Korea; Korea Advanced Institute of Science and Technology (KAIST), South Korea", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Jung_Learning_to_Quantize_Deep_Networks_by_Optimizing_Quantization_Intervals_With_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning to Reconstruct People in Clothing From a Single RGB Camera", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Alldieck_Learning_to_Reconstruct_People_in_Clothing_From_a_Single_RGB_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Thiemo Alldieck; Marcus Magnor; Bharat Lal Bhatnagar; Christian Theobalt; Gerard Pons-Moll", + "aff": "Computer Graphics Lab, TU Braunschweig, Germany; Max Planck Institute for Informatics, Saarland Informatics Campus, Germany", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Alldieck_Learning_to_Reconstruct_People_in_Clothing_From_a_Single_RGB_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning to Reduce Dual-Level Discrepancy for Infrared-Visible Person Re-Identification", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Learning_to_Reduce_Dual-Level_Discrepancy_for_Infrared-Visible_Person_Re-Identification_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhixiang Wang; Zheng Wang; Yinqiang Zheng; Yung-Yu Chuang; Shin'ichi Satoh", + "aff": "National Institute of Informatics, The University of Tokyo; National Taiwan University; National Institute of Informatics", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Learning_to_Reduce_Dual-Level_Discrepancy_for_Infrared-Visible_Person_Re-Identification_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision", + "status": "Poster", + "site": "", + "track": "main", + "project": "http://ringnet.is.tuebingen.mpg.de", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Sanyal_Learning_to_Regress_3D_Face_Shape_and_Expression_From_an_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Soubhik Sanyal; Timo Bolkart; Haiwen Feng; Michael J. Black", + "aff": "Perceiving Systems Department, Max Planck Institute for Intelligent Systems", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Sanyal_Learning_to_Regress_3D_Face_Shape_and_Expression_From_an_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ostapenko_Learning_to_Remember_A_Synaptic_Plasticity_Driven_Framework_for_Continual_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Oleksiy Ostapenko; Mihai Puscas; Tassilo Klein; Patrick J\u00c3\u00a4hnichen; Moin Nabi", + "aff": "Humboldt-Universit\u00e4t zu Berlin; SAP ML Research; University of Trento", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ostapenko_Learning_to_Remember_A_Synaptic_Plasticity_Driven_Framework_for_Continual_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning to Sample", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/orendv/learning_to_sample", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Dovrat_Learning_to_Sample_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Oren Dovrat; Itai Lang; Shai Avidan", + "aff": "Tel-Aviv University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Dovrat_Learning_to_Sample_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning to Separate Multiple Illuminants in a Single Image", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hui_Learning_to_Separate_Multiple_Illuminants_in_a_Single_Image_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhuo Hui; Ayan Chakrabarti; Kalyan Sunkavalli; Aswin C. Sankaranarayanan", + "aff": "Washington University in St. Louis; Carnegie Mellon University; Adobe Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hui_Learning_to_Separate_Multiple_Illuminants_in_a_Single_Image_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning to Synthesize Motion Blur", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Brooks_Learning_to_Synthesize_Motion_Blur_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Tim Brooks; Jonathan T. Barron", + "aff": "Google Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Brooks_Learning_to_Synthesize_Motion_Blur_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning to Transfer Examples for Partial Domain Adaptation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Cao_Learning_to_Transfer_Examples_for_Partial_Domain_Adaptation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhangjie Cao; Kaichao You; Mingsheng Long; Jianmin Wang; Qiang Yang", + "aff": "Hong Kong University of Science and Technology, China; Research Center for Big Data, Tsinghua University, China; KLiss, MOE; BNRist; School of Software, Tsinghua University, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Cao_Learning_to_Transfer_Examples_for_Partial_Domain_Adaptation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Learning-Based Sampling for Natural Image Matting", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tang_Learning-Based_Sampling_for_Natural_Image_Matting_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jingwei Tang; Ya\u00c4\u009fiz Aksoy; Cengiz \u00c3\u0096ztireli; Markus Gross; Tun\u00c3\u00a7 Ozan Aydin", + "aff": "ETH Z\u00fcrich; Disney Research; Disney Research ETH Z\u00fcrich", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tang_Learning-Based_Sampling_for_Natural_Image_Matting_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Led3D: A Lightweight and Efficient Deep Approach to Recognizing Low-Quality 3D Faces", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Mu_Led3D_A_Lightweight_and_Efficient_Deep_Approach_to_Recognizing_Low-Quality_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Guodong Mu; Di Huang; Guosheng Hu; Jia Sun; Yunhong Wang", + "aff": "Anyvision, Queens Road, Belfast, UK; Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Mu_Led3D_A_Lightweight_and_Efficient_Deep_Approach_to_Recognizing_Low-Quality_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Lending Orientation to Neural Networks for Cross-View Geo-Localization", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/Liumouliu/OriCNN", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Lending_Orientation_to_Neural_Networks_for_Cross-View_Geo-Localization_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Liu Liu; Hongdong Li", + "aff": "Australian National University, Australian Centre for Robotic Vision", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Lending_Orientation_to_Neural_Networks_for_Cross-View_Geo-Localization_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Less Is More: Learning Highlight Detection From Video Duration", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xiong_Less_Is_More_Learning_Highlight_Detection_From_Video_Duration_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Bo Xiong; Yannis Kalantidis; Deepti Ghadiyaram; Kristen Grauman", + "aff": "Facebook AI Research; University of Texas at Austin; Facebook AI", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xiong_Less_Is_More_Learning_Highlight_Detection_From_Video_Duration_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Leveraging Crowdsourced GPS Data for Road Extraction From Aerial Imagery", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Sun_Leveraging_Crowdsourced_GPS_Data_for_Road_Extraction_From_Aerial_Imagery_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Tao Sun; Zonglin Di; Pengyu Che; Chun Liu; Yin Wang", + "aff": "Tongji University, Shanghai, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Sun_Leveraging_Crowdsourced_GPS_Data_for_Road_Extraction_From_Aerial_Imagery_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Leveraging Heterogeneous Auxiliary Tasks to Assist Crowd Counting", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhao_Leveraging_Heterogeneous_Auxiliary_Tasks_to_Assist_Crowd_Counting_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Muming Zhao; Jian Zhang; Chongyang Zhang; Wenjun Zhang", + "aff": "School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University; MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University; University of Technology, Sydney", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhao_Leveraging_Heterogeneous_Auxiliary_Tasks_to_Assist_Crowd_Counting_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Leveraging Shape Completion for 3D Siamese Tracking", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Giancola_Leveraging_Shape_Completion_for_3D_Siamese_Tracking_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Silvio Giancola; Jesus Zarzar; Bernard Ghanem", + "aff": "King Abdullah University of Science and Technology (KAUST), Saudi Arabia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Giancola_Leveraging_Shape_Completion_for_3D_Siamese_Tracking_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Leveraging the Invariant Side of Generative Zero-Shot Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "github.com/lijin118/LisGAN", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Leveraging_the_Invariant_Side_of_Generative_Zero-Shot_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jingjing Li; Mengmeng Jing; Ke Lu; Zhengming Ding; Lei Zhu; Zi Huang", + "aff": "Indiana University-Purdue University Indianapolis; University of Queensland; Shandong Normal University; University of Electronic Science and Technology of China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Leveraging_the_Invariant_Side_of_Generative_Zero-Shot_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "LiFF: Light Field Features in Scale and Depth", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "http://dgd.vision/Tools/LiFF", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Dansereau_LiFF_Light_Field_Features_in_Scale_and_Depth_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Donald G. Dansereau; Bernd Girod; Gordon Wetzstein", + "aff": "Stanford University, The University of Sydney; Stanford University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Dansereau_LiFF_Light_Field_Features_in_Scale_and_Depth_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Libra R-CNN: Towards Balanced Learning for Object Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/OceanPang/Libra_R-CNN", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Pang_Libra_R-CNN_Towards_Balanced_Learning_for_Object_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jiangmiao Pang; Kai Chen; Jianping Shi; Huajun Feng; Wanli Ouyang; Dahua Lin", + "aff": "The Chinese University of Hong Kong; SenseTime Research; The University of Sydney; Zhejiang University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Pang_Libra_R-CNN_Towards_Balanced_Learning_for_Object_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Lifting Vectorial Variational Problems: A Natural Formulation Based on Geometric Measure Theory and Discrete Exterior Calculus", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Mollenhoff_Lifting_Vectorial_Variational_Problems_A_Natural_Formulation_Based_on_Geometric_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Thomas M\u00c3\u00b6llenhoff; Daniel Cremers", + "aff": "Technical University of Munich", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Mollenhoff_Lifting_Vectorial_Variational_Problems_A_Natural_Formulation_Based_on_Geometric_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Light Field Messaging With Deep Photographic Steganography", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/ericwengrowski/light-field-messaging", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wengrowski_Light_Field_Messaging_With_Deep_Photographic_Steganography_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Eric Wengrowski; Kristin Dana", + "aff": "Rutgers University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wengrowski_Light_Field_Messaging_With_Deep_Photographic_Steganography_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Linkage Based Face Clustering via Graph Convolution Network", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Linkage_Based_Face_Clustering_via_Graph_Convolution_Network_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhongdao Wang; Liang Zheng; Yali Li; Shengjin Wang", + "aff": "Australian Centre for Robotic Vision, Australian National University; Department of Electronic Engineering, Tsinghua University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Linkage_Based_Face_Clustering_via_Graph_Convolution_Network_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Listen to the Image", + "status": "Poster", + "site": "", + "track": "main", + "project": "http://www.seeingwithsound.com", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hu_Listen_to_the_Image_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Di Hu; Dong Wang; Xuelong Li; Feiping Nie; Qi Wang", + "aff": "School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hu_Listen_to_the_Image_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "LiveSketch: Query Perturbations for Guided Sketch-Based Visual Search", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Collomosse_LiveSketch_Query_Perturbations_for_Guided_Sketch-Based_Visual_Search_CVPR_2019_paper.pdf", + "youtube": "", + "author": "John Collomosse; Tu Bui; Hailin Jin", + "aff": "Creative Intelligence Lab, Adobe Research; Centre for Vision Speech and Signal Processing, University of Surrey", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Collomosse_LiveSketch_Query_Perturbations_for_Guided_Sketch-Based_Visual_Search_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Local Detection of Stereo Occlusion Boundaries", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Local_Detection_of_Stereo_Occlusion_Boundaries_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jialiang Wang; Todd Zickler", + "aff": "Harvard University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Local_Detection_of_Stereo_Occlusion_Boundaries_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Local Features and Visual Words Emerge in Activations", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Simeoni_Local_Features_and_Visual_Words_Emerge_in_Activations_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Oriane Sim\u00c3\u00a9oni; Yannis Avrithis; Ond\u00c5\u0099ej Chum", + "aff": "Univ Rennes, Inria, CNRS, IRISA; VRG, FEE, CTU in Prague", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Simeoni_Local_Features_and_Visual_Words_Emerge_in_Activations_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Local Relationship Learning With Person-Specific Shape Regularization for Facial Action Unit Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Niu_Local_Relationship_Learning_With_Person-Specific_Shape_Regularization_for_Facial_Action_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xuesong Niu; Hu Han; Songfan Yang; Yan Huang; Shiguang Shan", + "aff": "College of Electronics and Information Engineering, Sichuan University, Chengdu, Sichuan, China; Peng Cheng Laboratory, Shenzhen, China; TAL Education Group, Beijing, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai, China; Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Niu_Local_Relationship_Learning_With_Person-Specific_Shape_Regularization_for_Facial_Action_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Local Temporal Bilinear Pooling for Fine-Grained Action Parsing", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Local_Temporal_Bilinear_Pooling_for_Fine-Grained_Action_Parsing_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yan Zhang; Siyu Tang; Krikamol Muandet; Christian Jarvers; Heiko Neumann", + "aff": "Institute of Neural Information Processing, Ulm University, Ulm, Germany; Max Planck Institute for Intelligent Systems, T\u00fcbingen, Germany", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Local_Temporal_Bilinear_Pooling_for_Fine-Grained_Action_Parsing_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Cheng_Local_to_Global_Learning_Gradually_Adding_Classes_for_Training_Deep_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hao Cheng; Dongze Lian; Bowen Deng; Shenghua Gao; Tao Tan; Yanlin Geng", + "aff": "State Key Lab. of ISN, Xidian University, Xi\u2019an 710071, China; School of Information Science and Technology, ShanghaiTech University, Shanghai 201210, China; Dept of Mathematics and Computer Science, Centre of Analysis, Eindhoven University of Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Cheng_Local_to_Global_Learning_Gradually_Adding_Classes_for_Training_Deep_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Locating Objects Without Bounding Boxes", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ribera_Locating_Objects_Without_Bounding_Boxes_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Javier Ribera; David G\u00c3\u00bcera; Yuhao Chen; Edward J. Delp", + "aff": "Video and Image Processing Laboratory (VIPER), Purdue University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ribera_Locating_Objects_Without_Bounding_Boxes_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Long-Term Feature Banks for Detailed Video Understanding", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/facebookresearch/video-long-term-feature-banks", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wu_Long-Term_Feature_Banks_for_Detailed_Video_Understanding_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chao-Yuan Wu; Christoph Feichtenhofer; Haoqi Fan; Kaiming He; Philipp Kr\u00c3\u00a4henb\u00c3\u00bchl; Ross Girshick", + "aff": "Facebook AI Research (FAIR); The University of Texas at Austin", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wu_Long-Term_Feature_Banks_for_Detailed_Video_Understanding_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Look Back and Predict Forward in Image Captioning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Qin_Look_Back_and_Predict_Forward_in_Image_Captioning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yu Qin; Jiajun Du; Yonghua Zhang; Hongtao Lu", + "aff": "1Key Lab of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering, Department of Computer Science and Engineering, MoE Key Lab of Arti\ufb01cial Intelligence, AI Institute, Shanghai Jiao Tong University, China; 2AI-Lab Visual Search Team, Bytedance", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Qin_Look_Back_and_Predict_Forward_in_Image_Captioning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Look_More_Than_Once_An_Accurate_Detector_for_Text_of_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chengquan Zhang; Borong Liang; Zuming Huang; Mengyi En; Junyu Han; Errui Ding; Xinghao Ding", + "aff": "Fujian Key Laboratory of Sensing and Computing for Smart City, Xiamen University; Department of Computer Vision Technology (VIS), Baidu Inc.", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Look_More_Than_Once_An_Accurate_Detector_for_Text_of_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zheng_Looking_for_the_Devil_in_the_Details_Learning_Trilinear_Attention_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Heliang Zheng; Jianlong Fu; Zheng-Jun Zha; Jiebo Luo", + "aff": "University of Science and Technology of China, Hefei, China; University of Rochester, Rochester, NY; Microsoft Research, Beijing, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zheng_Looking_for_the_Devil_in_the_Details_Learning_Trilinear_Attention_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Low-Rank Laplacian-Uniform Mixed Model for Robust Face Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Dong_Low-Rank_Laplacian-Uniform_Mixed_Model_for_Robust_Face_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jiayu Dong; Huicheng Zheng; Lina Lian", + "aff": "School of Data and Computer Science, Sun Yat-sen University, Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China, Guangdong Key Laboratory of Information Security Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Dong_Low-Rank_Laplacian-Uniform_Mixed_Model_for_Robust_Face_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lu_Low-Rank_Tensor_Completion_With_a_New_Tensor_Nuclear_Norm_Induced_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Canyi Lu; Xi Peng; Yunchao Wei", + "aff": "University of Illinois at Urbana-Champaign; Carnegie Mellon University; Sichuan University; University of Technology Sydney", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lu_Low-Rank_Tensor_Completion_With_a_New_Tensor_Nuclear_Norm_Induced_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "MAGSAC: Marginalizing Sample Consensus", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/danini/magsac", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Barath_MAGSAC_Marginalizing_Sample_Consensus_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Daniel Barath; Ji\u00c5\u0099\u00c3\u00ad Matas; Jana Noskova", + "aff": "Centre for Machine Perception, Department of Cybernetics, Czech Technical University, Prague, Czech Republic", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Barath_MAGSAC_Marginalizing_Sample_Consensus_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_MAN_Moment_Alignment_Network_for_Natural_Language_Moment_Retrieval_via_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Da Zhang; Xiyang Dai; Xin Wang; Yuan-Fang Wang; Larry S. Davis", + "aff": "University of California, Santa Barbara; University of Maryland, College Park; Microsoft", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_MAN_Moment_Alignment_Network_for_Natural_Language_Moment_Retrieval_via_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "MAP Inference via Block-Coordinate Frank-Wolfe Algorithm", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Swoboda_MAP_Inference_via_Block-Coordinate_Frank-Wolfe_Algorithm_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Paul Swoboda; Vladimir Kolmogorov", + "aff": "MPI for Informatics, Germany; IST Austria", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Swoboda_MAP_Inference_via_Block-Coordinate_Frank-Wolfe_Algorithm_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "MARS: Motion-Augmented RGB Stream for Action Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Crasto_MARS_Motion-Augmented_RGB_Stream_for_Action_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Nieves Crasto; Philippe Weinzaepfel; Karteek Alahari; Cordelia Schmid", + "aff": "NAVER LABS Europe; Inria", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Crasto_MARS_Motion-Augmented_RGB_Stream_for_Action_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "MBS: Macroblock Scaling for CNN Model Reduction", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lin_MBS_Macroblock_Scaling_for_CNN_Model_Reduction_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yu-Hsun Lin; Chun-Nan Chou; Edward Y. Chang", + "aff": "HTC Research & Healthcare (DeepQ)", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lin_MBS_Macroblock_Scaling_for_CNN_Model_Reduction_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "MFAS: Multimodal Fusion Architecture Search", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Perez-Rua_MFAS_Multimodal_Fusion_Architecture_Search_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Juan-Manuel P\u00c3\u00a9rez-R\u00c3\u00baa;; Valentin Vielzeuf; St\u00c3\u00a9phane Pateux; Moez Baccouche; Frederic Jurie", + "aff": "Orange Labs, Cesson-S\u00b4evign\u00b4e, France; Samsung AI Centre, Cambridge, UK; Orange Labs, Cesson-S\u00b4evign\u00b4e, France; Orange Labs, Cesson-S\u00b4evign\u00b4e, France; Universit\u00b4e Caen Normandie, France; Universit\u00b4e Caen Normandie, France", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Perez-Rua_MFAS_Multimodal_Fusion_Architecture_Search_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xu_MHP-VOS_Multiple_Hypotheses_Propagation_for_Video_Object_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Shuangjie Xu; Daizong Liu; Linchao Bao; Wei Liu; Pan Zhou", + "aff": "Tencent AI Lab; Huazhong University of Science and Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xu_MHP-VOS_Multiple_Hypotheses_Propagation_for_Video_Object_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "MMFace: A Multi-Metric Regression Network for Unconstrained Face Reconstruction", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yi_MMFace_A_Multi-Metric_Regression_Network_for_Unconstrained_Face_Reconstruction_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hongwei Yi; Chen Li; Qiong Cao; Xiaoyong Shen; Sheng Li; Guoping Wang; Yu-Wing Tai", + "aff": "School of Electronics Engineering and Computer Science, Peking Univ.; Tencent; Shenzhen Graduate School, Peking Univ.", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yi_MMFace_A_Multi-Metric_Regression_Network_for_Unconstrained_Face_Reconstruction_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "MOTS: Multi-Object Tracking and Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://www.vision.rwth-aachen.de/page/mots", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Voigtlaender_MOTS_Multi-Object_Tracking_and_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Paul Voigtlaender; Michael Krause; Aljosa Osep; Jonathon Luiten; Berin Balachandar Gnana Sekar; Andreas Geiger; Bastian Leibe", + "aff": "MPI for Intelligent Systems and University of T\u00fcbingen; RWTH Aachen University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Voigtlaender_MOTS_Multi-Object_Tracking_and_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Abu_Farha_MS-TCN_Multi-Stage_Temporal_Convolutional_Network_for_Action_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yazan Abu Farha; J\u00c3\u00bcrgen Gall", + "aff": "University of Bonn, Germany", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Abu_Farha_MS-TCN_Multi-Stage_Temporal_Convolutional_Network_for_Action_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "MSCap: Multi-Style Image Captioning With Unpaired Stylized Text", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Guo_MSCap_Multi-Style_Image_Captioning_With_Unpaired_Stylized_Text_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Longteng Guo; Jing Liu; Peng Yao; Jiangwei Li; Hanqing Lu", + "aff": "Multimedia Department, Huawei Devices; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences; University of Science and Technology Beijing", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Guo_MSCap_Multi-Style_Image_Captioning_With_Unpaired_Stylized_Text_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "MUREL: Multimodal Relational Reasoning for Visual Question Answering", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "github.com/Cadene/murel.bootstrap.pytorch", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Cadene_MUREL_Multimodal_Relational_Reasoning_for_Visual_Question_Answering_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Remi Cadene; Hedi Ben-younes; Matthieu Cord; Nicolas Thome", + "aff": "Sorbonne Universit \u00b4e, CNRS, LIP6, 75005 Paris; Conservatoire National des Arts et M \u00b4etiers, 75003 Paris; Sorbonne Universit \u00b4e, CNRS, LIP6, 75005 Paris; Heuritech, 75011 Paris", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Cadene_MUREL_Multimodal_Relational_Reasoning_for_Visual_Question_Answering_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "MVF-Net: Multi-View 3D Face Morphable Model Regression", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wu_MVF-Net_Multi-View_3D_Face_Morphable_Model_Regression_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Fanzi Wu; Linchao Bao; Yajing Chen; Yonggen Ling; Yibing Song; Songnan Li; King Ngi Ngan; Wei Liu", + "aff": "Tencent AI Lab; The Chinese University of Hong Kong; The Chinese University of Hong Kong, University of Electronic Science and Technology of China; Shanghai Jiao Tong University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wu_MVF-Net_Multi-View_3D_Face_Morphable_Model_Regression_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "MVTec AD \u00e2\u0080\u0094 A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "www.mvtec.com", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Bergmann_MVTec_AD_--_A_Comprehensive_Real-World_Dataset_for_Unsupervised_Anomaly_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Paul Bergmann; Michael Fauser; David Sattlegger; Carsten Steger", + "aff": "MVTec Software GmbH", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Bergmann_MVTec_AD_--_A_Comprehensive_Real-World_Dataset_for_Unsupervised_Anomaly_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Machine_Vision_Guided_3D_Medical_Image_Compression_for_Efficient_Transmission_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zihao Liu; Xiaowei Xu; Tao Liu; Qi Liu; Yanzhi Wang; Yiyu Shi; Wujie Wen; Meiping Huang; Haiyun Yuan; Jian Zhuang", + "aff": "", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Machine_Vision_Guided_3D_Medical_Image_Compression_for_Efficient_Transmission_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wu_ManTra-Net_Manipulation_Tracing_Network_for_Detection_and_Localization_of_Image_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yue Wu; Wael AbdAlmageed; Premkumar Natarajan", + "aff": "USC Information Sciences Institute, Marina del Rey, CA, USA; USC Information Sciences Institute, Marina del Rey, CA, USA; Amazon, Manhattan Beach, CA, USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wu_ManTra-Net_Manipulation_Tracing_Network_for_Detection_and_Localization_of_Image_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Mapping, Localization and Path Planning for Image-Based Navigation Using Visual Features and Map", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/janinethoma/methods", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Thoma_Mapping_Localization_and_Path_Planning_for_Image-Based_Navigation_Using_Visual_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Janine Thoma; Danda Pani Paudel; Ajad Chhatkuli; Thomas Probst; Luc Van Gool", + "aff": "Computer Vision Laboratory, ETH Zurich, Switzerland and VISICS, ESAT/PSI, KU Leuven, Belgium; Computer Vision Laboratory, ETH Zurich, Switzerland", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Thoma_Mapping_Localization_and_Path_Planning_for_Image-Based_Navigation_Using_Visual_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Marginalized Latent Semantic Encoder for Zero-Shot Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ding_Marginalized_Latent_Semantic_Encoder_for_Zero-Shot_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhengming Ding; Hongfu Liu", + "aff": "Michtom School of Computer Science, Brandeis University, MA, USA; Department of CIT, Indiana University-Purdue University Indianapolis, IN, USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ding_Marginalized_Latent_Semantic_Encoder_for_Zero-Shot_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Mask Scoring R-CNN", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/zjhuang22/maskscoring_rcnn", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Huang_Mask_Scoring_R-CNN_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhaojin Huang; Lichao Huang; Yongchao Gong; Chang Huang; Xinggang Wang", + "aff": "Institute of AI, School of EIC, Huazhong University of Science and Technology; Horizon Robotics Inc.", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Huang_Mask_Scoring_R-CNN_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Mask-Guided Portrait Editing With Conditional GANs", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Gu_Mask-Guided_Portrait_Editing_With_Conditional_GANs_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Shuyang Gu; Jianmin Bao; Hao Yang; Dong Chen; Fang Wen; Lu Yuan", + "aff": "Microsoft Research; University of Science and Technology of China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Gu_Mask-Guided_Portrait_Editing_With_Conditional_GANs_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Max-Sliced Wasserstein Distance and Its Use for GANs", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Deshpande_Max-Sliced_Wasserstein_Distance_and_Its_Use_for_GANs_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ishan Deshpande; Yuan-Ting Hu; Ruoyu Sun; Ayis Pyrros; Nasir Siddiqui; Sanmi Koyejo; Zhizhen Zhao; David Forsyth; Alexander G. Schwing", + "aff": "University of Illinois at Urbana-Champaign; \u2020Dupage Medical Group", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Deshpande_Max-Sliced_Wasserstein_Distance_and_Its_Use_for_GANs_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Cai_MaxpoolNMS_Getting_Rid_of_NMS_Bottlenecks_in_Two-Stage_Object_Detectors_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Lile Cai; Bin Zhao; Zhe Wang; Jie Lin; Chuan Sheng Foo; Mohamed Sabry Aly; Vijay Chandrasekhar", + "aff": "Institute for Infocomm Research, A*STAR, Singapore; Institute of Microelectronics, A*STAR, Singapore; Nanyang Technological University, Singapore", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Cai_MaxpoolNMS_Getting_Rid_of_NMS_Bottlenecks_in_Two-Stage_Object_Detectors_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Memory_in_Memory_A_Predictive_Neural_Network_for_Learning_Higher-Order_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yunbo Wang; Jianjin Zhang; Hongyu Zhu; Mingsheng Long; Jianmin Wang; Philip S. Yu", + "aff": "Not specified in the provided content; Research Center for Big Data, Tsinghua University, China; KLiss, MOE; BNRist; School of Software, Tsinghua University, China; Beijing Key Laboratory for Industrial Big Data System and Application", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Memory_in_Memory_A_Predictive_Neural_Network_for_Learning_Higher-Order_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Memory-Attended Recurrent Network for Video Captioning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Pei_Memory-Attended_Recurrent_Network_for_Video_Captioning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wenjie Pei; Jiyuan Zhang; Xiangrong Wang; Lei Ke; Xiaoyong Shen; Yu-Wing Tai", + "aff": "Tencent; Southern University of Science and Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Pei_Memory-Attended_Recurrent_Network_for_Video_Captioning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "MeshAdv: Adversarial Meshes for Visual Recognition", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xiao_MeshAdv_Adversarial_Meshes_for_Visual_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chaowei Xiao; Dawei Yang; Bo Li; Jia Deng; Mingyan Liu", + "aff": "Princeton University; University of Michigan, Ann Arbor; UIUC", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xiao_MeshAdv_Adversarial_Meshes_for_Visual_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Meta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Mundt_Meta-Learning_Convolutional_Neural_Architectures_for_Multi-Target_Concrete_Defect_Classification_With_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Martin Mundt; Sagnik Majumder; Sreenivas Murali; Panagiotis Panetsos; Visvanathan Ramesh", + "aff": "Goethe University; Egnatia Odos A. E.", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Mundt_Meta-Learning_Convolutional_Neural_Architectures_for_Multi-Target_Concrete_Defect_Classification_With_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Meta-Learning With Differentiable Convex Optimization", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/kjunelee/MetaOptNet", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lee_Meta-Learning_With_Differentiable_Convex_Optimization_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kwonjoon Lee; Subhransu Maji; Avinash Ravichandran; Stefano Soatto", + "aff": "Amazon Web Services; UC San Diego", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lee_Meta-Learning_With_Differentiable_Convex_Optimization_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Meta-SR: A Magnification-Arbitrary Network for Super-Resolution", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hu_Meta-SR_A_Magnification-Arbitrary_Network_for_Super-Resolution_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xuecai Hu; Haoyuan Mu; Xiangyu Zhang; Zilei Wang; Tieniu Tan; Jian Sun", + "aff": "Tsinghua University; University of Science and Technology of China; University of Science and Technology of China, Center for Research on Intelligent Perception and Computing, NLPR, CASIA; Megvii Inc (Face++)", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hu_Meta-SR_A_Magnification-Arbitrary_Network_for_Super-Resolution_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Meta-Transfer Learning for Few-Shot Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/y2l/meta-transfer-learning-tensorflow", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Sun_Meta-Transfer_Learning_for_Few-Shot_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Qianru Sun; Yaoyao Liu; Tat-Seng Chua; Bernt Schiele", + "aff": "Max Planck Institute for Informatics, Saarland Informatics Campus; National University of Singapore, Max Planck Institute for Informatics, Saarland Informatics Campus; National University of Singapore; Tianjin University, National University of Singapore", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Sun_Meta-Transfer_Learning_for_Few-Shot_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "MetaCleaner: Learning to Hallucinate Clean Representations for Noisy-Labeled Visual Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_MetaCleaner_Learning_to_Hallucinate_Clean_Representations_for_Noisy-Labeled_Visual_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Weihe Zhang; Yali Wang; Yu Qiao", + "aff": "The Chinese University of Hong Kong; Shenzhen Key Lab of Computer Vision and Pattern Recognition, SIAT-SenseTime Joint Lab, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_MetaCleaner_Learning_to_Hallucinate_Clean_Representations_for_Noisy-Labeled_Visual_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Metric Learning for Image Registration", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/uncbiag/registration", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Niethammer_Metric_Learning_for_Image_Registration_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Marc Niethammer; Roland Kwitt; Fran\u00c3\u00a7ois-Xavier Vialard", + "aff": "LIGM, UPEM; University of Salzburg; UNC Chapel Hill", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Niethammer_Metric_Learning_for_Image_Registration_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Min-Max Statistical Alignment for Transfer Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://bitbucket.org/sherath", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Herath_Min-Max_Statistical_Alignment_for_Transfer_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Samitha Herath; Mehrtash Harandi; Basura Fernando; Richard Nock", + "aff": "The Australian National University, Human-Centric AI Programme, A*STAR, Singapore; The University of Sydney, DATA61-CSIRO, Australia; Monash University, DATA61-CSIRO, Australia; The Australian National University, DATA61-CSIRO, Australia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Herath_Min-Max_Statistical_Alignment_for_Transfer_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Mind Your Neighbours: Image Annotation With Metadata Neighbourhood Graph Co-Attention Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Mind_Your_Neighbours_Image_Annotation_With_Metadata_Neighbourhood_Graph_Co-Attention_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Junjie Zhang; Qi Wu; Jian Zhang; Chunhua Shen; Jianfeng Lu", + "aff": "The University of Adelaide, Australia; Nanjing University of Science and Technology, China; University of Technology Sydney, Australia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Mind_Your_Neighbours_Image_Annotation_With_Metadata_Neighbourhood_Graph_Co-Attention_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Minimal Solvers for Mini-Loop Closures in 3D Multi-Scan Alignment", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Miraldo_Minimal_Solvers_for_Mini-Loop_Closures_in_3D_Multi-Scan_Alignment_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Pedro Miraldo; Surojit Saha; Srikumar Ramalingam", + "aff": "School of Computing, The University of Utah; KTH Royal Institute of Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Miraldo_Minimal_Solvers_for_Mini-Loop_Closures_in_3D_Multi-Scan_Alignment_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "MirrorGAN: Learning Text-To-Image Generation by Redescription", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Qiao_MirrorGAN_Learning_Text-To-Image_Generation_by_Redescription_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Tingting Qiao; Jing Zhang; Duanqing Xu; Dacheng Tao", + "aff": "College of Computer Science and Technology, Zhejiang University, China; School of Automation, Hangzhou Dianzi University, China; UBTECH Sydney AI Centre, School of Computer Science, FEIT, The University of Sydney, Australia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Qiao_MirrorGAN_Learning_Text-To-Image_Generation_by_Redescription_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Roy_Mitigating_Information_Leakage_in_Image_Representations_A_Maximum_Entropy_Approach_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Proteek Chandan Roy; Vishnu Naresh Boddeti", + "aff": "Department of Computer Science and Engineering, Michigan State University, East Lansing MI 48824", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Roy_Mitigating_Information_Leakage_in_Image_Representations_A_Maximum_Entropy_Approach_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xiong_Mixed_Effects_Neural_Networks_MeNets_With_Applications_to_Gaze_Estimation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yunyang Xiong; Hyunwoo J. Kim; Vikas Singh", + "aff": "Korea University; University of Wisconsin-Madison", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xiong_Mixed_Effects_Neural_Networks_MeNets_With_Applications_to_Gaze_Estimation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Mixture Density Generative Adversarial Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Eghbal-zadeh_Mixture_Density_Generative_Adversarial_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hamid Eghbal-zadeh; Werner Zellinger; Gerhard Widmer", + "aff": "LIT AI Lab & Institute of Computational Perception, Johannes Kepler University Linz; Software Competence Center Hagenberg GmbH; Department of Knowledge-Based Mathematical Systems, Johannes Kepler University Linz", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Eghbal-zadeh_Mixture_Density_Generative_Adversarial_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "MnasNet: Platform-Aware Neural Architecture Search for Mobile", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/tensorflow/tpu/tree/master/models/official/mnasnet", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tan_MnasNet_Platform-Aware_Neural_Architecture_Search_for_Mobile_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Mingxing Tan; Bo Chen; Ruoming Pang; Vijay Vasudevan; Mark Sandler; Andrew Howard; Quoc V. Le", + "aff": "Google Inc.; Google Brain", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tan_MnasNet_Platform-Aware_Neural_Architecture_Search_for_Mobile_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Mao_Mode_Seeking_Generative_Adversarial_Networks_for_Diverse_Image_Synthesis_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Qi Mao; Hsin-Ying Lee; Hung-Yu Tseng; Siwei Ma; Ming-Hsuan Yang", + "aff": "University of California, Merced; Google Cloud; Institute of Digital Media, Peking University; Peng Cheng Laboratory", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Mao_Mode_Seeking_Generative_Adversarial_Networks_for_Diverse_Image_Synthesis_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Model-Blind Video Denoising via Frame-To-Frame Training", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ehret_Model-Blind_Video_Denoising_via_Frame-To-Frame_Training_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Thibaud Ehret; Axel Davy; Jean-Michel Morel; Gabriele Facciolo; Pablo Arias", + "aff": "CMLA, ENS Cachan, CNRS, Universit\u00e9 Paris-Saclay, 94235 Cachan, France", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ehret_Model-Blind_Video_Denoising_via_Frame-To-Frame_Training_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Modeling Local Geometric Structure of 3D Point Clouds Using Geo-CNN", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lan_Modeling_Local_Geometric_Structure_of_3D_Point_Clouds_Using_Geo-CNN_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Shiyi Lan; Ruichi Yu; Gang Yu; Larry S. Davis", + "aff": "University of Maryland, College Park; Megvii Inc (Face++)", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lan_Modeling_Local_Geometric_Structure_of_3D_Point_Clouds_Using_Geo-CNN_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Modeling Point Clouds With Self-Attention and Gumbel Subset Sampling", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yang_Modeling_Point_Clouds_With_Self-Attention_and_Gumbel_Subset_Sampling_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jiancheng Yang; Qiang Zhang; Bingbing Ni; Linguo Li; Jinxian Liu; Mengdie Zhou; Qi Tian", + "aff": "Huawei Noahs Ark Lab; Shanghai Jiao Tong University, MoE Key Lab of Arti\ufb01cial Intelligence, AI Institute, Shanghai Jiao Tong University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yang_Modeling_Point_Clouds_With_Self-Attention_and_Gumbel_Subset_Sampling_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Modularized Textual Grounding for Counterfactual Resilience", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Fang_Modularized_Textual_Grounding_for_Counterfactual_Resilience_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhiyuan Fang; Shu Kong; Charless Fowlkes; Yezhou Yang", + "aff": "University of California, Irvine, USA; Arizona State University, Tempe, USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Fang_Modularized_Textual_Grounding_for_Counterfactual_Resilience_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Modulating Image Restoration With Continual Levels via Adaptive Feature Modification Layers", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/He_Modulating_Image_Restoration_With_Continual_Levels_via_Adaptive_Feature_Modification_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jingwen He; Chao Dong; Yu Qiao", + "aff": "ShenZhen Key Lab of Computer Vision and Pattern Recognition, SIAT-SenseTime Joint Lab, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China and The Chinese University of Hong Kong; ShenZhen Key Lab of Computer Vision and Pattern Recognition, SIAT-SenseTime Joint Lab, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/He_Modulating_Image_Restoration_With_Continual_Levels_via_Adaptive_Feature_Modification_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ku_Monocular_3D_Object_Detection_Leveraging_Accurate_Proposals_and_Shape_Reconstruction_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jason Ku; Alex D. Pon; Steven L. Waslander", + "aff": "University of Toronto", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ku_Monocular_3D_Object_Detection_Leveraging_Accurate_Proposals_and_Shape_Reconstruction_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Monocular Depth Estimation Using Relative Depth Maps", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lee_Monocular_Depth_Estimation_Using_Relative_Depth_Maps_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jae-Han Lee; Chang-Su Kim", + "aff": "Korea University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lee_Monocular_Depth_Estimation_Using_Relative_Depth_Maps_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Monocular Total Capture: Posing Face, Body, and Hands in the Wild", + "status": "Oral", + "site": "", + "track": "main", + "project": "http://domedb.perception.cs.cmu.edu/mtc", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xiang_Monocular_Total_Capture_Posing_Face_Body_and_Hands_in_the_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Donglai Xiang; Hanbyul Joo; Yaser Sheikh", + "aff": "Carnegie Mellon University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xiang_Monocular_Total_Capture_Posing_Face_Body_and_Hands_in_the_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Motion Estimation of Non-Holonomic Ground Vehicles From a Single Feature Correspondence Measured Over N Views", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Huang_Motion_Estimation_of_Non-Holonomic_Ground_Vehicles_From_a_Single_Feature_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kun Huang; Yifu Wang; Laurent Kneip", + "aff": "ShanghaiTech University; The Australian National University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Huang_Motion_Estimation_of_Non-Holonomic_Ground_Vehicles_From_a_Single_Feature_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Moving Object Detection Under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant Sparse Decomposition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Shakeri_Moving_Object_Detection_Under_Discontinuous_Change_in_Illumination_Using_Tensor_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Moein Shakeri; Hong Zhang", + "aff": "Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Shakeri_Moving_Object_Detection_Under_Discontinuous_Change_in_Illumination_Using_Tensor_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Shao_Multi-Adversarial_Discriminative_Deep_Domain_Generalization_for_Face_Presentation_Attack_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Rui Shao; Xiangyuan Lan; Jiawei Li; Pong C. Yuen", + "aff": "Department of Computer Science, Hong Kong Baptist University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Shao_Multi-Adversarial_Discriminative_Deep_Domain_Generalization_for_Face_Presentation_Attack_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Multi-Agent Tensor Fusion for Contextual Trajectory Prediction", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhao_Multi-Agent_Tensor_Fusion_for_Contextual_Trajectory_Prediction_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Tianyang Zhao; Yifei Xu; Mathew Monfort; Wongun Choi; Chris Baker; Yibiao Zhao; Yizhou Wang; Ying Nian Wu", + "aff": "", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhao_Multi-Agent_Tensor_Fusion_for_Contextual_Trajectory_Prediction_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/Ha0Tang/SelectionGAN", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tang_Multi-Channel_Attention_Selection_GAN_With_Cascaded_Semantic_Guidance_for_Cross-View_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hao Tang; Dan Xu; Nicu Sebe; Yanzhi Wang; Jason J. Corso; Yan Yan", + "aff": "University of Oxford, Oxford, UK; Northeastern University, Boston, USA; DISI, University of Trento, Trento, Italy; Texas State University, San Marcos, USA; University of Michigan, Ann Arbor, USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tang_Multi-Channel_Attention_Selection_GAN_With_Cascaded_Semantic_Guidance_for_Cross-View_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Multi-Granularity Generator for Temporal Action Proposal", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Multi-Granularity_Generator_for_Temporal_Action_Proposal_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yuan Liu; Lin Ma; Yifeng Zhang; Wei Liu; Shih-Fu Chang", + "aff": "Tencent AI Lab; Southeast University; Columbia University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Multi-Granularity_Generator_for_Temporal_Action_Proposal_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Multi-Label Image Recognition With Graph Convolutional Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Multi-Label_Image_Recognition_With_Graph_Convolutional_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhao-Min Chen; Xiu-Shen Wei; Peng Wang; Yanwen Guo", + "aff": "National Key Laboratory for Novel Software Technology, Nanjing University, China and Megvii Research Nanjing, Megvii Technology, China; Megvii Research Nanjing, Megvii Technology, China; National Key Laboratory for Novel Software Technology, Nanjing University, China and Science and Technology on Information Systems Engineering Laboratory, China, and the 28th Research Institute of China Electronics Technology Group Corporation, Nanjing 210007, China; School of Computer Science, The University of Adelaide, Australia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Multi-Label_Image_Recognition_With_Graph_Convolutional_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Multi-Level Context Ultra-Aggregation for Stereo Matching", + "status": "Poster", + "site": "", + "track": "main", + "project": "http://mmcheng.net/mcua/", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Nie_Multi-Level_Context_Ultra-Aggregation_for_Stereo_Matching_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Guang-Yu Nie; Ming-Ming Cheng; Yun Liu; Zhengfa Liang; Deng-Ping Fan; Yue Liu; Yongtian Wang", + "aff": "Beijing Institute of Technology; TKLNDST, CS, Nankai University; National Key Laboratory of Science and Technology on Blind Signal Processing", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Nie_Multi-Level_Context_Ultra-Aggregation_for_Stereo_Matching_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Multi-Level Multimodal Common Semantic Space for Image-Phrase Grounding", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/hassanhub/MultiGrounding", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Akbari_Multi-Level_Multimodal_Common_Semantic_Space_for_Image-Phrase_Grounding_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hassan Akbari; Svebor Karaman; Surabhi Bhargava; Brian Chen; Carl Vondrick; Shih-Fu Chang", + "aff": "Columbia University, New York, NY, USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Akbari_Multi-Level_Multimodal_Common_Semantic_Space_for_Image-Phrase_Grounding_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Multi-Person Articulated Tracking With Spatial and Temporal Embeddings", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Jin_Multi-Person_Articulated_Tracking_With_Spatial_and_Temporal_Embeddings_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Sheng Jin; Wentao Liu; Wanli Ouyang; Chen Qian", + "aff": "SenseTime Research, Tsinghua University; The University of Sydney, SenseTime Computer Vision Research Group, Australia; SenseTime Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Jin_Multi-Person_Articulated_Tracking_With_Spatial_and_Temporal_Embeddings_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Multi-Person Pose Estimation With Enhanced Channel-Wise and Spatial Information", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Su_Multi-Person_Pose_Estimation_With_Enhanced_Channel-Wise_and_Spatial_Information_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kai Su; Dongdong Yu; Zhenqi Xu; Xin Geng; Changhu Wang", + "aff": "ByteDance AI Lab, Beijing, China; School of Computer Science and Engineering, Southeast University, Nanjing, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Su_Multi-Person_Pose_Estimation_With_Enhanced_Channel-Wise_and_Spatial_Information_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Multi-Scale Geometric Consistency Guided Multi-View Stereo", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xu_Multi-Scale_Geometric_Consistency_Guided_Multi-View_Stereo_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Qingshan Xu; Wenbing Tao", + "aff": "National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Arti\ufb01cial Intelligence and Automation, Huazhong University of Science and Technology, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xu_Multi-Scale_Geometric_Consistency_Guided_Multi-View_Stereo_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Multi-Similarity Loss With General Pair Weighting for Deep Metric Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/MalongTech/research-ms-loss", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Multi-Similarity_Loss_With_General_Pair_Weighting_for_Deep_Metric_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xun Wang; Xintong Han; Weilin Huang; Dengke Dong; Matthew R. Scott", + "aff": "Malong Technologies, Shenzhen, China; Shenzhen Malong Arti\ufb01cial Intelligence Research Center, Shenzhen, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Multi-Similarity_Loss_With_General_Pair_Weighting_for_Deep_Metric_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Multi-Source Weak Supervision for Saliency Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zeng_Multi-Source_Weak_Supervision_for_Saliency_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yu Zeng; Yunzhi Zhuge; Huchuan Lu; Lihe Zhang; Mingyang Qian; Yizhou Yu", + "aff": "Deepwise AI Lab, China; Dalian University of Technology, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zeng_Multi-Source_Weak_Supervision_for_Saliency_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Multi-Step Prediction of Occupancy Grid Maps With Recurrent Neural Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://youtu.be/Bskd0Z7eLFE", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Mohajerin_Multi-Step_Prediction_of_Occupancy_Grid_Maps_With_Recurrent_Neural_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Nima Mohajerin; Mohsen Rohani", + "aff": "Huawei Noah\u2019s Ark, Markham, ON, Canada", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Mohajerin_Multi-Step_Prediction_of_Occupancy_Grid_Maps_With_Recurrent_Neural_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Multi-Target Embodied Question Answering", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://embodiedqa.org", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yu_Multi-Target_Embodied_Question_Answering_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Licheng Yu; Xinlei Chen; Georgia Gkioxari; Mohit Bansal; Tamara L. Berg; Dhruv Batra", + "aff": "University of North Carolina at Chapel Hill and Facebook AI; University of North Carolina at Chapel Hill; Georgia Tech and Facebook AI; Facebook AI", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yu_Multi-Target_Embodied_Question_Answering_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Multi-Task Learning of Hierarchical Vision-Language Representation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Nguyen_Multi-Task_Learning_of_Hierarchical_Vision-Language_Representation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Duy-Kien Nguyen; Takayuki Okatani", + "aff": "Graduate School of Information Sciences, Tohoku University; Graduate School of Information Sciences, Tohoku University and RIKEN Center for AIP", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Nguyen_Multi-Task_Learning_of_Hierarchical_Vision-Language_Representation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Multi-Task Multi-Sensor Fusion for 3D Object Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liang_Multi-Task_Multi-Sensor_Fusion_for_3D_Object_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ming Liang; Bin Yang; Yun Chen; Rui Hu; Raquel Urtasun", + "aff": "Uber Advanced Technologies Group, University of Toronto; Uber Advanced Technologies Group", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liang_Multi-Task_Multi-Sensor_Fusion_for_3D_Object_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations", + "status": "Poster", + "site": "", + "track": "main", + "project": "http://vision.snu.ac.kr/projects/mtl-ssl-detection", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lee_Multi-Task_Self-Supervised_Object_Detection_via_Recycling_of_Bounding_Box_Annotations_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wonhee Lee; Joonil Na; Gunhee Kim", + "aff": "Seoul National University, Seoul, Korea", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lee_Multi-Task_Self-Supervised_Object_Detection_via_Recycling_of_Bounding_Box_Annotations_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Multimodal Explanations by Predicting Counterfactuality in Videos", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kanehira_Multimodal_Explanations_by_Predicting_Counterfactuality_in_Videos_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Atsushi Kanehira; Kentaro Takemoto; Sho Inayoshi; Tatsuya Harada", + "aff": "The University of Tokyo, RIKEN; The University of Tokyo; Preferred Networks", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kanehira_Multimodal_Explanations_by_Predicting_Counterfactuality_in_Videos_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Multispectral Imaging for Fine-Grained Recognition of Powders on Complex Backgrounds", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhi_Multispectral_Imaging_for_Fine-Grained_Recognition_of_Powders_on_Complex_Backgrounds_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Tiancheng Zhi; Bernardo R. Pires; Martial Hebert; Srinivasa G. Narasimhan", + "aff": "Carnegie Mellon University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhi_Multispectral_Imaging_for_Fine-Grained_Recognition_of_Powders_on_Complex_Backgrounds_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xie_Multispectral_and_Hyperspectral_Image_Fusion_by_MSHS_Fusion_Net_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Qi Xie; Minghao Zhou; Qian Zhao; Deyu Meng; Wangmeng Zuo; Zongben Xu", + "aff": "Xi\u2019an Jiaotong University; Harbin Institute of Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xie_Multispectral_and_Hyperspectral_Image_Fusion_by_MSHS_Fusion_Net_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liao_Multiview_2D3D_Rigid_Registration_via_a_Point-Of-Interest_Network_for_Tracking_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Haofu Liao; Wei-An Lin; Jiarui Zhang; Jingdan Zhang; Jiebo Luo; S. Kevin Zhou", + "aff": "University of Maryland, College Park; University of Rochester; Chinese Academy of Sciences, Peng Cheng Laboratory, Shenzhen; Z2W Corporation; Rutgers University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liao_Multiview_2D3D_Rigid_Registration_via_a_Point-Of-Interest_Network_for_Tracking_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wu_Mutual_Learning_of_Complementary_Networks_via_Residual_Correction_for_Improving_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Si Wu; Jichang Li; Cheng Liu; Zhiwen Yu; Hau-San Wong", + "aff": "Department of Computer Science, City University of Hong Kong; School of Computer Science and Engineering, South China University of Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wu_Mutual_Learning_of_Complementary_Networks_via_Residual_Correction_for_Improving_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ghiasi_NAS-FPN_Learning_Scalable_Feature_Pyramid_Architecture_for_Object_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Golnaz Ghiasi; Tsung-Yi Lin; Quoc V. Le", + "aff": "Google Brain", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ghiasi_NAS-FPN_Learning_Scalable_Feature_Pyramid_Architecture_for_Object_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/ethanygao/NDDR-CNN", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Gao_NDDR-CNN_Layerwise_Feature_Fusing_in_Multi-Task_CNNs_by_Neural_Discriminative_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yuan Gao; Jiayi Ma; Mingbo Zhao; Wei Liu; Alan L. Yuille", + "aff": "Tencent AI Lab; Wuhan University; City University of Hong Kong; Johns Hopkins University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Gao_NDDR-CNN_Layerwise_Feature_Fusing_in_Multi-Task_CNNs_by_Neural_Discriminative_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhao_NM-Net_Mining_Reliable_Neighbors_for_Robust_Feature_Correspondences_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chen Zhao; Zhiguo Cao; Chi Li; Xin Li; Jiaqi Yang", + "aff": "School of Arti\ufb01cial Intelligence and Automation, Huazhong University of Science and Technology; Lane Department of Computer Science and Electrical Engineering, West Virginia University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhao_NM-Net_Mining_Reliable_Neighbors_for_Robust_Feature_Correspondences_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Natural and Realistic Single Image Super-Resolution With Explicit Natural Manifold Discrimination", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Soh_Natural_and_Realistic_Single_Image_Super-Resolution_With_Explicit_Natural_Manifold_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jae Woong Soh; Gu Yong Park; Junho Jo; Nam Ik Cho", + "aff": "Department of ECE, INMC, Seoul National University, Seoul, Korea", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Soh_Natural_and_Realistic_Single_Image_Super-Resolution_With_Explicit_Natural_Manifold_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Neighbourhood Watch: Referring Expression Comprehension via Language-Guided Graph Attention Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Neighbourhood_Watch_Referring_Expression_Comprehension_via_Language-Guided_Graph_Attention_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Peng Wang; Qi Wu; Jiewei Cao; Chunhua Shen; Lianli Gao; Anton van den Hengel", + "aff": "Australian Institute for Machine Learning, The University of Adelaide; The University of Electronic Science and Technology of China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Neighbourhood_Watch_Referring_Expression_Comprehension_via_Language-Guided_Graph_Attention_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds Using Convolutional Neural Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ben-Shabat_Nesti-Net_Normal_Estimation_for_Unstructured_3D_Point_Clouds_Using_Convolutional_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yizhak Ben-Shabat; Michael Lindenbaum; Anath Fischer", + "aff": "Mechanical Engineering, Techion IIT, Haifa, Israel; Computer Science, Techion IIT, Haifa, Israel", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ben-Shabat_Nesti-Net_Normal_Estimation_for_Unstructured_3D_Point_Clouds_Using_Convolutional_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "NetTailor: Tuning the Architecture, Not Just the Weights", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://pedro-morgado.github.io/nettailor", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Morgado_NetTailor_Tuning_the_Architecture_Not_Just_the_Weights_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Pedro Morgado; Nuno Vasconcelos", + "aff": "Department of Electrical and Computer Engineering, University of California, San Diego", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Morgado_NetTailor_Tuning_the_Architecture_Not_Just_the_Weights_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Networks for Joint Affine and Non-Parametric Image Registration", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Shen_Networks_for_Joint_Affine_and_Non-Parametric_Image_Registration_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhengyang Shen; Xu Han; Zhenlin Xu; Marc Niethammer", + "aff": "UNC Chapel Hill", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Shen_Networks_for_Joint_Affine_and_Non-Parametric_Image_Registration_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Neural Illumination: Lighting Prediction for Indoor Environments", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Song_Neural_Illumination_Lighting_Prediction_for_Indoor_Environments_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Shuran Song; Thomas Funkhouser", + "aff": "Google and Princeton University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Song_Neural_Illumination_Lighting_Prediction_for_Indoor_Environments_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Neural RGB\u00c2\u00aeD Sensing: Depth and Uncertainty From a Video Camera", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Neural_RGBrD_Sensing_Depth_and_Uncertainty_From_a_Video_Camera_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chao Liu; Jinwei Gu; Kihwan Kim; Srinivasa G. Narasimhan; Jan Kautz", + "aff": "SenseTime; NVIDIA; Carnegie Mellon University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Neural_RGBrD_Sensing_Depth_and_Uncertainty_From_a_Video_Camera_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/joe-siyuan-qiao/NeuralRejuvenation-CVPR19", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Qiao_Neural_Rejuvenation_Improving_Deep_Network_Training_by_Enhancing_Computational_Resource_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Siyuan Qiao; Zhe Lin; Jianming Zhang; Alan L. Yuille", + "aff": "Adobe Research; Johns Hopkins University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Qiao_Neural_Rejuvenation_Improving_Deep_Network_Training_by_Enhancing_Computational_Resource_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Neural Rerendering in the Wild", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Meshry_Neural_Rerendering_in_the_Wild_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Moustafa Meshry; Dan B. Goldman; Sameh Khamis; Hugues Hoppe; Rohit Pandey; Noah Snavely; Ricardo Martin-Brualla", + "aff": "Google Inc.; University of Maryland", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Meshry_Neural_Rerendering_in_the_Wild_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Neural Scene Decomposition for Multi-Person Motion Capture", + "status": "Poster", + "site": "", + "track": "main", + "project": "cvlab.epfl.ch", + "github": "github.com", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Rhodin_Neural_Scene_Decomposition_for_Multi-Person_Motion_Capture_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Helge Rhodin; Victor Constantin; Isinsu Katircioglu; Mathieu Salzmann; Pascal Fua", + "aff": "CVLab, EPFL, Lausanne, Switzerland", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Rhodin_Neural_Scene_Decomposition_for_Multi-Person_Motion_Capture_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Neural Sequential Phrase Grounding (SeqGROUND)", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Dogan_Neural_Sequential_Phrase_Grounding_SeqGROUND_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Pelin Dogan; Leonid Sigal; Markus Gross", + "aff": "ETH Z\u00fcrich; University of British Columbia, Vector Institute; ETH Z\u00fcrich, Disney Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Dogan_Neural_Sequential_Phrase_Grounding_SeqGROUND_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Huang_Neural_Task_Graphs_Generalizing_to_Unseen_Tasks_From_a_Single_CVPR_2019_paper.pdf", + "youtube": "", + "author": "De-An Huang; Suraj Nair; Danfei Xu; Yuke Zhu; Animesh Garg; Li Fei-Fei; Silvio Savarese; Juan Carlos Niebles", + "aff": "Computer Science Department, Stanford University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Huang_Neural_Task_Graphs_Generalizing_to_Unseen_Tasks_From_a_Single_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Neuro-Inspired Eye Tracking With Eye Movement Dynamics", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Neuro-Inspired_Eye_Tracking_With_Eye_Movement_Dynamics_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kang Wang; Hui Su; Qiang Ji", + "aff": "RPI; RPI and IBM", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Neuro-Inspired_Eye_Tracking_With_Eye_Movement_Dynamics_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Noise-Aware Unsupervised Deep Lidar-Stereo Fusion", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Cheng_Noise-Aware_Unsupervised_Deep_Lidar-Stereo_Fusion_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xuelian Cheng; Yiran Zhong; Yuchao Dai; Pan Ji; Hongdong Li", + "aff": "Australian National University; Northwestern Polytechnical University; NEC Laboratories America", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Cheng_Noise-Aware_Unsupervised_Deep_Lidar-Stereo_Fusion_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Noise-Tolerant Paradigm for Training Face Recognition CNNs", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/huangyangyu/NoiseFace", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hu_Noise-Tolerant_Paradigm_for_Training_Face_Recognition_CNNs_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wei Hu; Yangyu Huang; Fan Zhang; Ruirui Li", + "aff": "Beijing University of Chemical Technology, China; Yunshitu Corporation, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hu_Noise-Tolerant_Paradigm_for_Training_Face_Recognition_CNNs_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Noise2Void - Learning Denoising From Single Noisy Images", + "status": "Poster", + "site": "", + "track": "main", + "project": "Not provided in the content", + "github": "Not provided in the content", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Krull_Noise2Void_-_Learning_Denoising_From_Single_Noisy_Images_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Alexander Krull; Tim-Oliver Buchholz; Florian Jug", + "aff": "Not specified in the provided content; MPI-CBG/PKS (CSBD), Dresden, Germany", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Krull_Noise2Void_-_Learning_Denoising_From_Single_Noisy_Images_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Non-Adversarial Image Synthesis With Generative Latent Nearest Neighbors", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hoshen_Non-Adversarial_Image_Synthesis_With_Generative_Latent_Nearest_Neighbors_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yedid Hoshen; Ke Li; Jitendra Malik", + "aff": "Facebook AI Research and UC Berkeley; Hebrew University of Jerusalem; UC Berkeley", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hoshen_Non-Adversarial_Image_Synthesis_With_Generative_Latent_Nearest_Neighbors_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/He_Non-Local_Meets_Global_An_Integrated_Paradigm_for_Hyperspectral_Denoising_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wei He; Quanming Yao; Chao Li; Naoto Yokoya; Qibin Zhao", + "aff": "", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/He_Non-Local_Meets_Global_An_Integrated_Paradigm_for_Hyperspectral_Denoising_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Normalized Diversification", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Normalized_Diversification_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Shaohui Liu; Xiao Zhang; Jianqiao Wangni; Jianbo Shi", + "aff": "University of Pennsylvania; Tsinghua University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Normalized_Diversification_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://hughw19.github.io/NOCS_CVPR2019", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Normalized_Object_Coordinate_Space_for_Category-Level_6D_Object_Pose_and_CVPR_2019_paper.pdf", + "youtube": "", + "author": "He Wang; Srinath Sridhar; Jingwei Huang; Julien Valentin; Shuran Song; Leonidas J. Guibas", + "aff": "Facebook AI Research; Princeton University; Stanford University; Google Inc.", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Normalized_Object_Coordinate_Space_for_Category-Level_6D_Object_Pose_and_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Sun_Not_All_Areas_Are_Equal_Transfer_Learning_for_Semantic_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ruoqi Sun; Xinge Zhu; Chongruo Wu; Chen Huang; Jianping Shi; Lizhuang Ma", + "aff": "The Chinese University of Hong Kong; University of California, Davis; Shanghai Jiao Tong University; Carnegie Mellon University; SenseTime Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Sun_Not_All_Areas_Are_Equal_Transfer_Learning_for_Semantic_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Not All Frames Are Equal: Weakly-Supervised Video Grounding With Contextual Similarity and Visual Clustering Losses", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Shi_Not_All_Frames_Are_Equal_Weakly-Supervised_Video_Grounding_With_Contextual_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jing Shi; Jia Xu; Boqing Gong; Chenliang Xu", + "aff": "University of Rochester; Tencent AI Lab", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Shi_Not_All_Frames_Are_Equal_Weakly-Supervised_Video_Grounding_With_Contextual_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Not Using the Car to See the Sidewalk \u00e2\u0080\u0094 Quantifying and Controlling the Effects of Context in Classification and Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Shetty_Not_Using_the_Car_to_See_the_Sidewalk_--_Quantifying_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Rakshith Shetty; Bernt Schiele; Mario Fritz", + "aff": "CISPA Helmholtz Center for Information Security, Saarland Informatics Campus, Germany; Max Planck Institute for Informatics, Saarland Informatics Campus, Germany", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Shetty_Not_Using_the_Car_to_See_the_Sidewalk_--_Quantifying_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Perera_OCGAN_One-Class_Novelty_Detection_Using_GANs_With_Constrained_Latent_Representations_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Pramuditha Perera; Ramesh Nallapati; Bing Xiang", + "aff": "AWS AI; Johns Hopkins University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Perera_OCGAN_One-Class_Novelty_Detection_Using_GANs_With_Constrained_Latent_Representations_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "ODE-Inspired Network Design for Single Image Super-Resolution", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/He_ODE-Inspired_Network_Design_for_Single_Image_Super-Resolution_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiangyu He; Zitao Mo; Peisong Wang; Yang Liu; Mingyuan Yang; Jian Cheng", + "aff": "", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/He_ODE-Inspired_Network_Design_for_Single_Image_Super-Resolution_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_OICSR_Out-In-Channel_Sparsity_Regularization_for_Compact_Deep_Neural_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jiashi Li; Qi Qi; Jingyu Wang; Ce Ge; Yujian Li; Zhangzhang Yue; Haifeng Sun", + "aff": "State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, P.R. China; State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, P.R. China; EBUPT Information Technology Co., Ltd., Beijing 100191, P.R. China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_OICSR_Out-In-Channel_Sparsity_Regularization_for_Compact_Deep_Neural_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Marino_OK-VQA_A_Visual_Question_Answering_Benchmark_Requiring_External_Knowledge_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kenneth Marino; Mohammad Rastegari; Ali Farhadi; Roozbeh Mottaghi", + "aff": "PRIOR @ Allen Institute for AI; Carnegie Mellon University; University of Washington", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Marino_OK-VQA_A_Visual_Question_Answering_Benchmark_Requiring_External_Knowledge_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Object Counting and Instance Segmentation With Image-Level Supervision", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "github.com/GuoleiSun/CountSeg", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Cholakkal_Object_Counting_and_Instance_Segmentation_With_Image-Level_Supervision_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hisham Cholakkal; Guolei Sun; Fahad Shahbaz Khan; Ling Shao", + "aff": "Inception Institute of Arti\ufb01cial Intelligence, UAE; Inception Institute of Arti\ufb01cial Intelligence, UAE and Computer Vision Laboratory, Department of Electrical Engineering, Link\u00f6ping University, Sweden", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Cholakkal_Object_Counting_and_Instance_Segmentation_With_Image-Level_Supervision_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Object Detection With Location-Aware Deformable Convolution and Backward Attention Filtering", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Object_Detection_With_Location-Aware_Deformable_Convolution_and_Backward_Attention_Filtering_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chen Zhang; Joohee Kim", + "aff": "Illinois Institute of Technology, Chicago, USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Object_Detection_With_Location-Aware_Deformable_Convolution_and_Backward_Attention_Filtering_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Object Discovery in Videos as Foreground Motion Clustering", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xie_Object_Discovery_in_Videos_as_Foreground_Motion_Clustering_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Christopher Xie; Yu Xiang; Zaid Harchaoui; Dieter Fox", + "aff": "University of Washington; NVIDIA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xie_Object_Discovery_in_Videos_as_Foreground_Motion_Clustering_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Object Instance Annotation With Deep Extreme Level Set Evolution", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Object_Instance_Annotation_With_Deep_Extreme_Level_Set_Evolution_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zian Wang; David Acuna; Huan Ling; Amlan Kar; Sanja Fidler", + "aff": "Tsinghua University; University of Toronto, Vector Institute; University of Toronto, Vector Institute, NVIDIA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Object_Instance_Annotation_With_Deep_Extreme_Level_Set_Evolution_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Object Tracking by Reconstruction With View-Specific Discriminative Correlation Filters", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kart_Object_Tracking_by_Reconstruction_With_View-Specific_Discriminative_Correlation_Filters_CVPR_2019_paper.pdf", + "youtube": "", + "author": "U\u00c4\u009fur Kart; Alan Luke\u00c5\u00bei\u00c4\u008d; Matej Kristan; Joni-Kristian K\u00c3\u00a4m\u00c3\u00a4r\u00c3\u00a4inen; Ji\u00c5\u0099\u00c3\u00ad Matas", + "aff": "Laboratory of Signal Processing, Tampere University, Finland; Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic; Faculty of Computer and Information Science, University of Ljubljana, Slovenia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kart_Object_Tracking_by_Reconstruction_With_View-Specific_Discriminative_Correlation_Filters_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Object-Aware Aggregation With Bidirectional Temporal Graph for Video Captioning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Object-Aware_Aggregation_With_Bidirectional_Temporal_Graph_for_Video_Captioning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Junchao Zhang; Yuxin Peng", + "aff": "Institute of Computer Science and Technology, Peking University, Beijing 100871, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Object-Aware_Aggregation_With_Bidirectional_Temporal_Graph_for_Video_Captioning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Object-Centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ionescu_Object-Centric_Auto-Encoders_and_Dummy_Anomalies_for_Abnormal_Event_Detection_in_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Radu Tudor Ionescu; Fahad Shahbaz Khan; Mariana-Iuliana Georgescu; Ling Shao", + "aff": "University of Bucharest, 14 Academiei, Bucharest, Romania; SecurifAI, 21 Mircea V od \u02d8a, Bucharest, Romania; Inception Institute of Arti\ufb01cial Intelligence (IIAI), Abu Dhabi, UAE; University of Bucharest, 14 Academiei, Bucharest, Romania; SecurifAI, 21 Mircea V od \u02d8a, Bucharest, Romania; Inception Institute of Arti\ufb01cial Intelligence (IIAI), Abu Dhabi, UAE", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ionescu_Object-Centric_Auto-Encoders_and_Dummy_Anomalies_for_Abnormal_Event_Detection_in_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Object-Driven Text-To-Image Synthesis via Adversarial Training", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Object-Driven_Text-To-Image_Synthesis_via_Adversarial_Training_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wenbo Li; Pengchuan Zhang; Lei Zhang; Qiuyuan Huang; Xiaodong He; Siwei Lyu; Jianfeng Gao", + "aff": "University at Albany, SUNY; Microsoft Research AI; Microsoft; JD AI Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Object-Driven_Text-To-Image_Synthesis_via_Adversarial_Training_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "http://www.cs.cmu.edu/~ILIM/projects/IM/CarFusion/", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Reddy_Occlusion-Net_2D3D_Occluded_Keypoint_Localization_Using_Graph_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "N. Dinesh Reddy; Minh Vo; Srinivasa G. Narasimhan", + "aff": "Carnegie Mellon University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Reddy_Occlusion-Net_2D3D_Occluded_Keypoint_Localization_Using_Graph_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Occupancy Networks: Learning 3D Reconstruction in Function Space", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Mescheder_Occupancy_Networks_Learning_3D_Reconstruction_in_Function_Space_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Lars Mescheder; Michael Oechsle; Michael Niemeyer; Sebastian Nowozin; Andreas Geiger", + "aff": "Google AI Berlin; Autonomous Vision Group, MPI for Intelligent Systems and University of T\u00fcbingen; Autonomous Vision Group, MPI for Intelligent Systems and University of T\u00fcbingen; ETAS GmbH, Stuttgart", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Mescheder_Occupancy_Networks_Learning_3D_Reconstruction_in_Function_Space_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Octree Guided CNN With Spherical Kernels for 3D Point Clouds", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lei_Octree_Guided_CNN_With_Spherical_Kernels_for_3D_Point_Clouds_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Huan Lei; Naveed Akhtar; Ajmal Mian", + "aff": "Computer Science and Software Engineering, The University of Western Australia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lei_Octree_Guided_CNN_With_Spherical_Kernels_for_3D_Point_Clouds_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "On Exploring Undetermined Relationships for Visual Relationship Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhan_On_Exploring_Undetermined_Relationships_for_Visual_Relationship_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yibing Zhan; Jun Yu; Ting Yu; Dacheng Tao", + "aff": "Key Laboratory of Complex Systems Modeling and Simulation, School of Computer Science and Technology, Hangzhou Dianzi University, China; School of Computer Science and Technology, Hangzhou Dianzi University, China; UBTECH Sydney AI Centre, School of Computer Science, FEIT, University of Sydney, Darlington, NSW 2008, Australia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhan_On_Exploring_Undetermined_Relationships_for_Visual_Relationship_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "On Finding Gray Pixels", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Qian_On_Finding_Gray_Pixels_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yanlin Qian; Joni-Kristian K\u00c3\u00a4m\u00c3\u00a4r\u00c3\u00a4inen; Jarno Nikkanen; Ji\u00c5\u0099\u00c3\u00ad Matas", + "aff": "Computing Sciences, Tampere University; Intel Finland; Computing Sciences, Tampere University; Center for Machine Perception, Czech Technical University in Prague", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Qian_On_Finding_Gray_Pixels_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "On Implicit Filter Level Sparsity in Convolutional Neural Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Mehta_On_Implicit_Filter_Level_Sparsity_in_Convolutional_Neural_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Dushyant Mehta; Kwang In Kim; Christian Theobalt", + "aff": "MPI For Informatics, Saarland Informatics Campus; UNIST", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Mehta_On_Implicit_Filter_Level_Sparsity_in_Convolutional_Neural_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "On Learning Density Aware Embeddings", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ghosh_On_Learning_Density_Aware_Embeddings_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Soumyadeep Ghosh; Richa Singh; Mayank Vatsa", + "aff": "IIIT-Delhi, India", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ghosh_On_Learning_Density_Aware_Embeddings_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "On Stabilizing Generative Adversarial Training With Noise", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Jenni_On_Stabilizing_Generative_Adversarial_Training_With_Noise_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Simon Jenni; Paolo Favaro", + "aff": "University of Bern", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Jenni_On_Stabilizing_Generative_Adversarial_Training_With_Noise_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "On Zero-Shot Recognition of Generic Objects", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hascoet_On_Zero-Shot_Recognition_of_Generic_Objects_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Tristan Hascoet; Yasuo Ariki; Tetsuya Takiguchi", + "aff": "Graduate School of System Informatics, Kobe University, Japan", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hascoet_On_Zero-Shot_Recognition_of_Generic_Objects_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "On the Continuity of Rotation Representations in Neural Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhou_On_the_Continuity_of_Rotation_Representations_in_Neural_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yi Zhou; Connelly Barnes; Jingwan Lu; Jimei Yang; Hao Li", + "aff": "Adobe Research; University of Southern California; University of Southern California, Pinscreen, USC Institute for Creative Technologies", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhou_On_the_Continuity_of_Rotation_Representations_in_Neural_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "On the Intrinsic Dimensionality of Image Representations", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Gong_On_the_Intrinsic_Dimensionality_of_Image_Representations_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Sixue Gong; Vishnu Naresh Boddeti; Anil K. Jain", + "aff": "Michigan State University, East Lansing MI 48824", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Gong_On_the_Intrinsic_Dimensionality_of_Image_Representations_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tsuzuku_On_the_Structural_Sensitivity_of_Deep_Convolutional_Networks_to_the_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yusuke Tsuzuku; Issei Sato", + "aff": "The University of Tokyo, RIKEN", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tsuzuku_On_the_Structural_Sensitivity_of_Deep_Convolutional_Networks_to_the_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Online High Rank Matrix Completion", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Fan_Online_High_Rank_Matrix_Completion_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jicong Fan; Madeleine Udell", + "aff": "Cornell University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Fan_Online_High_Rank_Matrix_Completion_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Orthogonal Decomposition Network for Pixel-Wise Binary Classification", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Orthogonal_Decomposition_Network_for_Pixel-Wise_Binary_Classification_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chang Liu; Fang Wan; Wei Ke; Zhuowei Xiao; Yuan Yao; Xiaosong Zhang; Qixiang Ye", + "aff": "Peng Cheng Laboratory, Shenzhen, Guangdong, China; University of Chinese Academy of Sciences, Beijing, China; Institute of Geology and Geophysics, Chinese Academy of Sciences", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Orthogonal_Decomposition_Network_for_Pixel-Wise_Binary_Classification_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Out-Of-Distribution Detection for Generalized Zero-Shot Action Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/naraysa/gzsl-od", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Mandal_Out-Of-Distribution_Detection_for_Generalized_Zero-Shot_Action_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Devraj Mandal; Sanath Narayan; Sai Kumar Dwivedi; Vikram Gupta; Shuaib Ahmed; Fahad Shahbaz Khan; Ling Shao", + "aff": "Inception Institute of Arti\ufb01cial Intelligence, UAE; Mercedes-Benz R&D India, Bangalore; Indian Institute of Science, Bangalore", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Mandal_Out-Of-Distribution_Detection_for_Generalized_Zero-Shot_Action_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Makansi_Overcoming_Limitations_of_Mixture_Density_Networks_A_Sampling_and_Fitting_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Osama Makansi; Eddy Ilg; \u00c3\u0096zg\u00c3\u00bcn \u00c3\u0087i\u00c3\u00a7ek; Thomas Brox", + "aff": "University of Freiburg", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Makansi_Overcoming_Limitations_of_Mixture_Density_Networks_A_Sampling_and_Fitting_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "P2SGrad: Refined Gradients for Optimizing Deep Face Models", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_P2SGrad_Refined_Gradients_for_Optimizing_Deep_Face_Models_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiao Zhang; Rui Zhao; Junjie Yan; Mengya Gao; Yu Qiao; Xiaogang Wang; Hongsheng Li", + "aff": "SIAT-SenseTime Joint Lab, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences; CUHK-SenseTime Joint Laboratory, The Chinese University of Hong Kong; SenseTime Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_P2SGrad_Refined_Gradients_for_Optimizing_Deep_Face_Models_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wu_P3SGD_Patient_Privacy_Preserving_SGD_for_Regularizing_Deep_CNNs_in_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Bingzhe Wu; Shiwan Zhao; Guangyu Sun; Xiaolu Zhang; Zhong Su; Caihong Zeng; Zhihong Liu", + "aff": "", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wu_P3SGD_Patient_Privacy_Preserving_SGD_for_Regularizing_Deep_CNNs_in_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "PA3D: Pose-Action 3D Machine for Video Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yan_PA3D_Pose-Action_3D_Machine_for_Video_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "An Yan; Yali Wang; Zhifeng Li; Yu Qiao", + "aff": "Tencent AI Lab; The Chinese University of Hong Kong; Shenzhen Key Lab of Computer Vision and Pattern Recognition, SIAT-SenseTime Joint Lab, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China; University of California San Diego", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yan_PA3D_Pose-Action_3D_Machine_for_Video_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_PCAN_3D_Attention_Map_Learning_Using_Contextual_Information_for_Point_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wenxiao Zhang; Chunxia Xiao", + "aff": "School of Computer Science, Wuhan University, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_PCAN_3D_Attention_Map_Learning_Using_Contextual_Information_for_Point_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "PDE Acceleration for Active Contours", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yezzi_PDE_Acceleration_for_Active_Contours_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Anthony Yezzi; Ganesh Sundaramoorthi; Minas Benyamin", + "aff": "; Georgia Institute of Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yezzi_PDE_Acceleration_for_Active_Contours_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "PEPSI : Fast Image Inpainting With Parallel Decoding Network", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Sagong_PEPSI__Fast_Image_Inpainting_With_Parallel_Decoding_Network_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Min-cheol Sagong; Yong-goo Shin; Seung-wook Kim; Seung Park; Sung-jea Ko", + "aff": "Korea university", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Sagong_PEPSI__Fast_Image_Inpainting_With_Parallel_Decoding_Network_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "PIEs: Pose Invariant Embeddings", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ho_PIEs_Pose_Invariant_Embeddings_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chih-Hui Ho; Pedro Morgado; Amir Persekian; Nuno Vasconcelos", + "aff": "University of California, San Diego", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ho_PIEs_Pose_Invariant_Embeddings_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "PMS-Net: Robust Haze Removal Based on Patch Map for Single Images", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_PMS-Net_Robust_Haze_Removal_Based_on_Patch_Map_for_Single_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wei-Ting Chen; Jian-Jiun Ding; Sy-Yen Kuo", + "aff": "Graduate Institute of Electronics Engineering, National Taiwan University, Taipei 106, Taiwan; Department of Electrical Engineering, National Taiwan University, Taipei 106, Taiwan", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_PMS-Net_Robust_Haze_Removal_Based_on_Patch_Map_for_Single_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "PPGNet: Learning Point-Pair Graph for Line Segment Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/svip-lab/PPGNet", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_PPGNet_Learning_Point-Pair_Graph_for_Line_Segment_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ziheng Zhang; Zhengxin Li; Ning Bi; Jia Zheng; Jinlei Wang; Kun Huang; Weixin Luo; Yanyu Xu; Shenghua Gao", + "aff": "ShanghaiTech University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_PPGNet_Learning_Point-Pair_Graph_for_Line_Segment_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "PVNet: Pixel-Wise Voting Network for 6DoF Pose Estimation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://zju3dv.github.io/pvnet/", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Peng_PVNet_Pixel-Wise_Voting_Network_for_6DoF_Pose_Estimation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Sida Peng; Yuan Liu; Qixing Huang; Xiaowei Zhou; Hujun Bao", + "aff": "University of Texas at Austin; Zhejiang University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Peng_PVNet_Pixel-Wise_Voting_Network_for_6DoF_Pose_Estimation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Panoptic Feature Pyramid Networks", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kirillov_Panoptic_Feature_Pyramid_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Alexander Kirillov; Ross Girshick; Kaiming He; Piotr Doll\u00c3\u00a1r", + "aff": "Facebook AI Research (FAIR)", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kirillov_Panoptic_Feature_Pyramid_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Panoptic Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://arxiv.org/abs/1801.00868", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kirillov_Panoptic_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Alexander Kirillov; Kaiming He; Ross Girshick; Carsten Rother; Piotr Doll\u00c3\u00a1r", + "aff": "HCI/IWR, Heidelberg University, Germany; Facebook AI Research (FAIR)", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kirillov_Panoptic_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Parallel Optimal Transport GAN", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Avraham_Parallel_Optimal_Transport_GAN_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Gil Avraham; Yan Zuo; Tom Drummond", + "aff": "ARC Centre of Excellence for Robotic Vision, Monash University, Australia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Avraham_Parallel_Optimal_Transport_GAN_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/elliothe/CVPR_2019_PNI", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/He_Parametric_Noise_Injection_Trainable_Randomness_to_Improve_Deep_Neural_Network_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhezhi He; Adnan Siraj Rakin; Deliang Fan", + "aff": "Dept. of Electrical and Computer Engineering, University of Central Florida, Orlando, FL 32816", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/He_Parametric_Noise_Injection_Trainable_Randomness_to_Improve_Deep_Neural_Network_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Parsing R-CNN for Instance-Level Human Analysis", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/soeaver/Parsing-R-CNN", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yang_Parsing_R-CNN_for_Instance-Level_Human_Analysis_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Lu Yang; Qing Song; Zhihui Wang; Ming Jiang", + "aff": "Beijing University of Posts and Telecommunications; WiWide Inc.", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yang_Parsing_R-CNN_for_Instance-Level_Human_Analysis_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Part-Regularized Near-Duplicate Vehicle Re-Identification", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/He_Part-Regularized_Near-Duplicate_Vehicle_Re-Identification_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Bing He; Jia Li; Yifan Zhao; Yonghong Tian", + "aff": "National Engineering Laboratory for Video Technology, School of EE&CS, Peking University; Peng Cheng Laboratory, Shenzhen, China; State Key Laboratory of Virtual Reality Technology and Systems, SCSE, Beihang University; Peng Cheng Laboratory, Shenzhen, China; Beijing Advanced Innovation Center for Big Data and Brain Computing, Beijing, China; State Key Laboratory of Virtual Reality Technology and Systems, SCSE, Beihang University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/He_Part-Regularized_Near-Duplicate_Vehicle_Re-Identification_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://cs.stanford.edu/~kaichun/partnet/", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Mo_PartNet_A_Large-Scale_Benchmark_for_Fine-Grained_and_Hierarchical_Part-Level_3D_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kaichun Mo; Shilin Zhu; Angel X. Chang; Li Yi; Subarna Tripathi; Leonidas J. Guibas; Hao Su", + "aff": "Intel AI Lab; Stanford University; Simon Fraser University; UC San Diego", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Mo_PartNet_A_Large-Scale_Benchmark_for_Fine-Grained_and_Hierarchical_Part-Level_3D_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "PartNet: A Recursive Part Decomposition Network for Fine-Grained and Hierarchical Shape Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yu_PartNet_A_Recursive_Part_Decomposition_Network_for_Fine-Grained_and_Hierarchical_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Fenggen Yu; Kun Liu; Yan Zhang; Chenyang Zhu; Kai Xu", + "aff": "National University of Defense Technology; Nanjing University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yu_PartNet_A_Recursive_Part_Decomposition_Network_for_Fine-Grained_and_Hierarchical_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Partial Order Pruning: For Best Speed/Accuracy Trade-Off in Neural Architecture Search", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Partial_Order_Pruning_For_Best_SpeedAccuracy_Trade-Off_in_Neural_Architecture_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xin Li; Yiming Zhou; Zheng Pan; Jiashi Feng", + "aff": "UISEE Technology Inc.; Department of ECE, National University of Singapore", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Partial_Order_Pruning_For_Best_SpeedAccuracy_Trade-Off_in_Neural_Architecture_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Patch-Based Discriminative Feature Learning for Unsupervised Person Re-Identification", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/QizeYang/PAUL", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yang_Patch-Based_Discriminative_Feature_Learning_for_Unsupervised_Person_Re-Identification_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Qize Yang; Hong-Xing Yu; Ancong Wu; Wei-Shi Zheng", + "aff": "School of Electronics and Information Technology, Sun Yat-sen University, China; School of Data and Computer Science, Sun Yat-sen University, China; Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China; School of Data and Computer Science, Sun Yat-sen University, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yang_Patch-Based_Discriminative_Feature_Learning_for_Unsupervised_Person_Re-Identification_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Patch-Based Progressive 3D Point Set Upsampling", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/yifita/3pu", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yifan_Patch-Based_Progressive_3D_Point_Set_Upsampling_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wang Yifan; Shihao Wu; Hui Huang; Daniel Cohen-Or; Olga Sorkine-Hornung", + "aff": "Tel Aviv University; ETH Zurich; Shenzhen University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yifan_Patch-Based_Progressive_3D_Point_Set_Upsampling_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Path-Invariant Map Networks", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Path-Invariant_Map_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zaiwei Zhang; Zhenxiao Liang; Lemeng Wu; Xiaowei Zhou; Qixing Huang", + "aff": "Zhejiang University; UT Austin", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Path-Invariant_Map_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Pattern-Affinitive Propagation Across Depth, Surface Normal and Semantic Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Pattern-Affinitive_Propagation_Across_Depth_Surface_Normal_and_Semantic_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhenyu Zhang; Zhen Cui; Chunyan Xu; Yan Yan; Nicu Sebe; Jian Yang", + "aff": "PCA Lab, Nanjing University of Science and Technology; Multimedia and Human Understanding Group, University of Trento", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Pattern-Affinitive_Propagation_Across_Depth_Surface_Normal_and_Semantic_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Pay Attention! - Robustifying a Deep Visuomotor Policy Through Task-Focused Visual Attention", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://pouyaab.github.io/pay-attention/", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Abolghasemi_Pay_Attention_-_Robustifying_a_Deep_Visuomotor_Policy_Through_Task-Focused_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Pooya Abolghasemi; Amir Mazaheri; Mubarak Shah; Ladislau B\u00c3\u00b6l\u00c3\u00b6ni", + "aff": "University of Central Florida, Orlando, FL 32816", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Abolghasemi_Pay_Attention_-_Robustifying_a_Deep_Visuomotor_Policy_Through_Task-Focused_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Pedestrian Detection With Autoregressive Network Phases", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Brazil_Pedestrian_Detection_With_Autoregressive_Network_Phases_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Garrick Brazil; Xiaoming Liu", + "aff": "Michigan State University, East Lansing, MI", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Brazil_Pedestrian_Detection_With_Autoregressive_Network_Phases_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Peeking Into the Future: Predicting Future Person Activities and Locations in Videos", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://next.cs.cmu.edu", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liang_Peeking_Into_the_Future_Predicting_Future_Person_Activities_and_Locations_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Junwei Liang; Lu Jiang; Juan Carlos Niebles; Alexander G. Hauptmann; Li Fei-Fei", + "aff": "Google AI; Carnegie Mellon University; Stanford University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liang_Peeking_Into_the_Future_Predicting_Future_Person_Activities_and_Locations_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Perceive Where to Focus: Learning Visibility-Aware Part-Level Features for Partial Person Re-Identification", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Sun_Perceive_Where_to_Focus_Learning_Visibility-Aware_Part-Level_Features_for_Partial_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yifan Sun; Qin Xu; Yali Li; Chi Zhang; Yikang Li; Shengjin Wang; Jian Sun", + "aff": "Tsinghua University; Megvii Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Sun_Perceive_Where_to_Focus_Learning_Visibility-Aware_Part-Level_Features_for_Partial_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Perturbation Analysis of the 8-Point Algorithm: A Case Study for Wide FoV Cameras", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/da_Silveira_Perturbation_Analysis_of_the_8-Point_Algorithm_A_Case_Study_for_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Thiago L. T. da Silveira; Claudio R. Jung", + "aff": "Institute of Informatics, Federal University of Rio Grande do Sul, Brazil", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/da_Silveira_Perturbation_Analysis_of_the_8-Point_Algorithm_A_Case_Study_for_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Phase-Only Image Based Kernel Estimation for Single Image Blind Deblurring", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Pan_Phase-Only_Image_Based_Kernel_Estimation_for_Single_Image_Blind_Deblurring_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Liyuan Pan; Richard Hartley; Miaomiao Liu; Yuchao Dai", + "aff": "School of Electronics and Information, Northwestern Polytechnical University, Xi\u2019an, China; Australian National University, Canberra, Australia; Australian Centre for Robotic Vision", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Pan_Phase-Only_Image_Based_Kernel_Estimation_for_Single_Image_Blind_Deblurring_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Photo Wake-Up: 3D Character Animation From a Single Photo", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Weng_Photo_Wake-Up_3D_Character_Animation_From_a_Single_Photo_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chung-Yi Weng; Brian Curless; Ira Kemelmacher-Shlizerman", + "aff": "", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Weng_Photo_Wake-Up_3D_Character_Animation_From_a_Single_Photo_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://chenhsuanlin.bitbucket.io/photometric-mesh-optim/", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lin_Photometric_Mesh_Optimization_for_Video-Aligned_3D_Object_Reconstruction_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chen-Hsuan Lin; Oliver Wang; Bryan C. Russell; Eli Shechtman; Vladimir G. Kim; Matthew Fisher; Simon Lucey", + "aff": "The Robotics Institute, Carnegie Mellon University; Adobe Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lin_Photometric_Mesh_Optimization_for_Video-Aligned_3D_Object_Reconstruction_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Photon-Flooded Single-Photon 3D Cameras", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Gupta_Photon-Flooded_Single-Photon_3D_Cameras_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Anant Gupta; Atul Ingle; Andreas Velten; Mohit Gupta", + "aff": "University of Wisconsin-Madison", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Gupta_Photon-Flooded_Single-Photon_3D_Cameras_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "PifPaf: Composite Fields for Human Pose Estimation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kreiss_PifPaf_Composite_Fields_for_Human_Pose_Estimation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Sven Kreiss; Lorenzo Bertoni; Alexandre Alahi", + "aff": "EPFL VITA lab, CH-1015 Lausanne", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kreiss_PifPaf_Composite_Fields_for_Human_Pose_Estimation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Pixel-Adaptive Convolutional Neural Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Su_Pixel-Adaptive_Convolutional_Neural_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hang Su; Varun Jampani; Deqing Sun; Orazio Gallo; Erik Learned-Miller; Jan Kautz", + "aff": "UMass Amherst; NVIDIA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Su_Pixel-Adaptive_Convolutional_Neural_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "PlaneRCNN: 3D Plane Detection and Reconstruction From a Single Image", + "status": "Oral", + "site": "", + "track": "main", + "project": "https://research.nvidia.com/publication/2019-06-PlaneRCNN", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_PlaneRCNN_3D_Plane_Detection_and_Reconstruction_From_a_Single_Image_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chen Liu; Kihwan Kim; Jinwei Gu; Yasutaka Furukawa; Jan Kautz", + "aff": "NVIDIA, SenseTime; NVIDIA, Washington University in St. Louis; NVIDIA; Simon Fraser University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_PlaneRCNN_3D_Plane_Detection_and_Reconstruction_From_a_Single_Image_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Pluralistic Image Completion", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zheng_Pluralistic_Image_Completion_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chuanxia Zheng; Tat-Jen Cham; Jianfei Cai", + "aff": "School of Computer Science and Engineering, Nanyang Technological University, Singapore", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zheng_Pluralistic_Image_Completion_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Point Cloud Oversegmentation With Graph-Structured Deep Metric Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Landrieu_Point_Cloud_Oversegmentation_With_Graph-Structured_Deep_Metric_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Loic Landrieu; Mohamed Boussaha", + "aff": "Univ. Paris-Est, IGN-ENSG, ACTE, Saint-Mand\u00e9, France; Univ. Paris-Est, IGN-ENSG, LaSTIG,1STRUDEL, Saint-Mand\u00e9, France", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Landrieu_Point_Cloud_Oversegmentation_With_Graph-Structured_Deep_Metric_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Point in, Box Out: Beyond Counting Persons in Crowds", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Point_in_Box_Out_Beyond_Counting_Persons_in_Crowds_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yuting Liu; Miaojing Shi; Qijun Zhao; Xiaofang Wang", + "aff": "Univ Rennes, Inria, CNRS, IRISA; College of Computer Science, Sichuan University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Point_in_Box_Out_Beyond_Counting_Persons_in_Crowds_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Point-To-Pose Voting Based Hand Pose Estimation Using Residual Permutation Equivariant Layer", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Point-To-Pose_Voting_Based_Hand_Pose_Estimation_Using_Residual_Permutation_Equivariant_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Shile Li; Dongheui Lee", + "aff": "Technical University of Munich; Technical University of Munich, German Aerospace Center", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Point-To-Pose_Voting_Based_Hand_Pose_Estimation_Using_Residual_Permutation_Equivariant_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "PointConv: Deep Convolutional Networks on 3D Point Clouds", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wu_PointConv_Deep_Convolutional_Networks_on_3D_Point_Clouds_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wenxuan Wu; Zhongang Qi; Li Fuxin", + "aff": "CORIS Institute, Oregon State University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wu_PointConv_Deep_Convolutional_Networks_on_3D_Point_Clouds_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/aseembehl/pointflownet", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Behl_PointFlowNet_Learning_Representations_for_Rigid_Motion_Estimation_From_Point_Clouds_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Aseem Behl; Despoina Paschalidou; Simon Donn\u00c3\u00a9; Andreas Geiger", + "aff": "Autonomous Vision Group, MPI for Intelligent Systems and University of T\u00fcbingen", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Behl_PointFlowNet_Learning_Representations_for_Rigid_Motion_Estimation_From_Point_Clouds_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/hmgoforth/PointNetLK", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Aoki_PointNetLK_Robust__Efficient_Point_Cloud_Registration_Using_PointNet_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yasuhiro Aoki; Hunter Goforth; Rangaprasad Arun Srivatsan; Simon Lucey", + "aff": "Carnegie Mellon University, Argo AI; Carnegie Mellon University; Carnegie Mellon University, Fujitsu Laboratories Ltd.", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Aoki_PointNetLK_Robust__Efficient_Point_Cloud_Registration_Using_PointNet_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "PointPillars: Fast Encoders for Object Detection From Point Clouds", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lang_PointPillars_Fast_Encoders_for_Object_Detection_From_Point_Clouds_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Alex H. Lang; Sourabh Vora; Holger Caesar; Lubing Zhou; Jiong Yang; Oscar Beijbom", + "aff": "nuTonomy: an APTIV company", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lang_PointPillars_Fast_Encoders_for_Object_Detection_From_Point_Clouds_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/sshaoshuai/PointRCNN", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Shi_PointRCNN_3D_Object_Proposal_Generation_and_Detection_From_Point_Cloud_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Shaoshuai Shi; Xiaogang Wang; Hongsheng Li", + "aff": "The Chinese University of Hong Kong", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Shi_PointRCNN_3D_Object_Proposal_Generation_and_Detection_From_Point_Cloud_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhao_PointWeb_Enhancing_Local_Neighborhood_Features_for_Point_Cloud_Processing_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hengshuang Zhao; Li Jiang; Chi-Wing Fu; Jiaya Jia", + "aff": "The Chinese University of Hong Kong; The Chinese University of Hong Kong, Tencent Youtu Lab", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhao_PointWeb_Enhancing_Local_Neighborhood_Features_for_Point_Cloud_Processing_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Pointing Novel Objects in Image Captioning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Pointing_Novel_Objects_in_Image_Captioning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yehao Li; Ting Yao; Yingwei Pan; Hongyang Chao; Tao Mei", + "aff": "JD AI Research, Beijing, China; School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Pointing_Novel_Objects_in_Image_Captioning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Polarimetric Camera Calibration Using an LCD Monitor", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Polarimetric_Camera_Calibration_Using_an_LCD_Monitor_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhixiang Wang; Yinqiang Zheng; Yung-Yu Chuang", + "aff": "National Taiwan University; National Institute of Informatics", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Polarimetric_Camera_Calibration_Using_an_LCD_Monitor_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Polynomial Representation for Persistence Diagram", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Polynomial_Representation_for_Persistence_Diagram_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhichao Wang; Qian Li; Gang Li; Guandong Xu", + "aff": "School of Electrical Engineering and Telecommunications, University of New South Wales, Australia; School of Information Technology, Deakin University, Geelong, VIC 3216, Australia; Advanced Analytics Institute, University of Technology Sydney, Australia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Polynomial_Representation_for_Persistence_Diagram_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Song_Polysemous_Visual-Semantic_Embedding_for_Cross-Modal_Retrieval_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yale Song; Mohammad Soleymani", + "aff": "Microsoft Cloud & AI; USC Institute for Creative Technologies", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Song_Polysemous_Visual-Semantic_Embedding_for_Cross-Modal_Retrieval_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Pose2Seg: Detection Free Human Instance Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://github.com/liruilong940607/OCHumanApi", + "github": "https://github.com/liruilong940607/Pose2Seg", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Pose2Seg_Detection_Free_Human_Instance_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Song-Hai Zhang; Ruilong Li; Xin Dong; Paul Rosin; Zixi Cai; Xi Han; Dingcheng Yang; Haozhi Huang; Shi-Min Hu", + "aff": "Tencent AI Lab; Tsinghua University; Cardiff University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Pose2Seg_Detection_Free_Human_Instance_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "PoseFix: Model-Agnostic General Human Pose Refinement Network", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/mks0601/PoseFix_RELEASE", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Moon_PoseFix_Model-Agnostic_General_Human_Pose_Refinement_Network_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Gyeongsik Moon; Ju Yong Chang; Kyoung Mu Lee", + "aff": "Department of ECE, ASRI, Seoul National University; Department of EI, Kwangwoon University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Moon_PoseFix_Model-Agnostic_General_Human_Pose_Refinement_Network_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Practical Coding Function Design for Time-Of-Flight Imaging", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Gutierrez-Barragan_Practical_Coding_Function_Design_for_Time-Of-Flight_Imaging_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Felipe Gutierrez-Barragan; Syed Azer Reza; Andreas Velten; Mohit Gupta", + "aff": "University of Wisconsin-Madison", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Gutierrez-Barragan_Practical_Coding_Function_Design_for_Time-Of-Flight_Imaging_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Practical Full Resolution Learned Lossless Image Compression", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/fab-jul/L3C-PyTorch", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Mentzer_Practical_Full_Resolution_Learned_Lossless_Image_Compression_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Fabian Mentzer; Eirikur Agustsson; Michael Tschannen; Radu Timofte; Luc Van Gool", + "aff": "ETH Z\u00fcrich, Switzerland", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Mentzer_Practical_Full_Resolution_Learned_Lossless_Image_Compression_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Precise Detection in Densely Packed Scenes", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "www.github.com/eg4000/SKU110K_CVPR19", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Goldman_Precise_Detection_in_Densely_Packed_Scenes_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Eran Goldman; Roei Herzig; Aviv Eisenschtat; Jacob Goldberger; Tal Hassner", + "aff": "Tel Aviv University; Trax Retail; Bar-Ilan University; The Open University of Israel", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Goldman_Precise_Detection_in_Densely_Packed_Scenes_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Predicting Future Frames Using Retrospective Cycle GAN", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kwon_Predicting_Future_Frames_Using_Retrospective_Cycle_GAN_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yong-Hoon Kwon; Min-Gyu Park", + "aff": "Advanced Camera Lab, LG Electronics, Korea; Korea Electronics Technology Institute", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kwon_Predicting_Future_Frames_Using_Retrospective_Cycle_GAN_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Predicting Visible Image Differences Under Varying Display Brightness and Viewing Distance", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ye_Predicting_Visible_Image_Differences_Under_Varying_Display_Brightness_and_Viewing_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Nanyang Ye; Krzysztof Wolski; Rafa\u00c5\u0082 K. Mantiuk", + "aff": "", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ye_Predicting_Visible_Image_Differences_Under_Varying_Display_Brightness_and_Viewing_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Privacy Preserving Image-Based Localization", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Speciale_Privacy_Preserving_Image-Based_Localization_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Pablo Speciale; Johannes L. Sch\u00c3\u00b6nberger; Sing Bing Kang; Sudipta N. Sinha; Marc Pollefeys", + "aff": "ETH Zurich, Microsoft; Microsoft", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Speciale_Privacy_Preserving_Image-Based_Localization_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Privacy Protection in Street-View Panoramas Using Depth and Multi-View Imagery", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://research.cyclomedia.com/", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Uittenbogaard_Privacy_Protection_in_Street-View_Panoramas_Using_Depth_and_Multi-View_Imagery_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ries Uittenbogaard; Clint Sebastian; Julien Vijverberg; Bas Boom; Dariu M. Gavrila; Peter H.N. de With", + "aff": "Cyclomedia B.V; VCA Group, TU Eindhoven; Intelligent Vehicles Group, TU Delft", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Uittenbogaard_Privacy_Protection_in_Street-View_Panoramas_Using_Depth_and_Multi-View_Imagery_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Probabilistic End-To-End Noise Correction for Learning With Noisy Labels", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yi_Probabilistic_End-To-End_Noise_Correction_for_Learning_With_Noisy_Labels_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kun Yi; Jianxin Wu", + "aff": "National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yi_Probabilistic_End-To-End_Noise_Correction_for_Learning_With_Noisy_Labels_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Probabilistic Permutation Synchronization Using the Riemannian Structure of the Birkhoff Polytope", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Birdal_Probabilistic_Permutation_Synchronization_Using_the_Riemannian_Structure_of_the_Birkhoff_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Tolga Birdal; Umut \u00c5\u009eim\u00c5\u009fekli", + "aff": "Computer Science Department, Stanford University, CA 94305 Stanford, US; Fakult\u00e4t f\u00fcr Informatik, Technische Universit\u00e4t M\u00fcnchen, 85748 M\u00fcnchen, Germany; LTCI, T\u00e9l\u00e9com ParisTech, Universit\u00e9 Paris-Saclay, 75013 Paris, France", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Birdal_Probabilistic_Permutation_Synchronization_Using_the_Riemannian_Structure_of_the_Birkhoff_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Progressive Attention Memory Network for Movie Story Question Answering", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kim_Progressive_Attention_Memory_Network_for_Movie_Story_Question_Answering_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Junyeong Kim; Minuk Ma; Kyungsu Kim; Sungjin Kim; Chang D. Yoo", + "aff": "Korea Advanced Institute of Science and Technology (KAIST); Samsung Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kim_Progressive_Attention_Memory_Network_for_Movie_Story_Question_Answering_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Progressive Ensemble Networks for Zero-Shot Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ye_Progressive_Ensemble_Networks_for_Zero-Shot_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Meng Ye; Yuhong Guo", + "aff": "Computer and Information Sciences, Temple University, Philadelphia, USA; School of Computer Science, Carleton University, Ottawa, Canada", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ye_Progressive_Ensemble_Networks_for_Zero-Shot_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Progressive Feature Alignment for Unsupervised Domain Adaptation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Progressive_Feature_Alignment_for_Unsupervised_Domain_Adaptation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chaoqi Chen; Weiping Xie; Wenbing Huang; Yu Rong; Xinghao Ding; Yue Huang; Tingyang Xu; Junzhou Huang", + "aff": "Tencent AI Lab; Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Progressive_Feature_Alignment_for_Unsupervised_Domain_Adaptation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Progressive Image Deraining Networks: A Better and Simpler Baseline", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/csdwren/PReNet", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ren_Progressive_Image_Deraining_Networks_A_Better_and_Simpler_Baseline_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Dongwei Ren; Wangmeng Zuo; Qinghua Hu; Pengfei Zhu; Deyu Meng", + "aff": "College of Computing and Intelligence, Tianjin University, Tianjin, China; Xi\u2019an Jiaotong University, Xi\u2019an, China; School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ren_Progressive_Image_Deraining_Networks_A_Better_and_Simpler_Baseline_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Progressive Pose Attention Transfer for Person Image Generation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/tengteng95/Pose-Transfer.git", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhu_Progressive_Pose_Attention_Transfer_for_Person_Image_Generation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhen Zhu; Tengteng Huang; Baoguang Shi; Miao Yu; Bofei Wang; Xiang Bai", + "aff": "Microsoft, Redmond; ZTE Corporation; Huazhong Univ. Sci. and Tech.", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhu_Progressive_Pose_Attention_Transfer_for_Person_Image_Generation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Progressive Teacher-Student Learning for Early Action Prediction", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Progressive_Teacher-Student_Learning_for_Early_Action_Prediction_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xionghui Wang; Jian-Fang Hu; Jian-Huang Lai; Jianguo Zhang; Wei-Shi Zheng", + "aff": "University of Dundee, United Kingdom; Sun Yat-sen University, China; Sun Yat-sen University, China; Guangdong Province Key Laboratory of Information Security Technology, China; Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China; Sun Yat-sen University, China; Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China; Sun Yat-sen University, China; Guangdong Province Key Laboratory of Information Security Technology, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Progressive_Teacher-Student_Learning_for_Early_Action_Prediction_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Propagation Mechanism for Deep and Wide Neural Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xu_Propagation_Mechanism_for_Deep_and_Wide_Neural_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Dejiang Xu; Mong Li Lee; Wynne Hsu", + "aff": "School of Computing, National University of Singapore", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xu_Propagation_Mechanism_for_Deep_and_Wide_Neural_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Pseudo-LiDAR_From_Visual_Depth_Estimation_Bridging_the_Gap_in_3D_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yan Wang; Wei-Lun Chao; Divyansh Garg; Bharath Hariharan; Mark Campbell; Kilian Q. Weinberger", + "aff": "Cornell University, Ithaca, NY", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Pseudo-LiDAR_From_Visual_Depth_Estimation_Bridging_the_Gap_in_3D_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Pushing the Boundaries of View Extrapolation With Multiplane Images", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Srinivasan_Pushing_the_Boundaries_of_View_Extrapolation_With_Multiplane_Images_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Pratul P. Srinivasan; Richard Tucker; Jonathan T. Barron; Ravi Ramamoorthi; Ren Ng; Noah Snavely", + "aff": "UC San Diego; UC Berkeley; Google Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Srinivasan_Pushing_the_Boundaries_of_View_Extrapolation_With_Multiplane_Images_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Pushing the Envelope for RGB-Based Dense 3D Hand Pose Estimation via Neural Rendering", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Baek_Pushing_the_Envelope_for_RGB-Based_Dense_3D_Hand_Pose_Estimation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Seungryul Baek; Kwang In Kim; Tae-Kyun Kim", + "aff": "UNIST; Imperial College London", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Baek_Pushing_the_Envelope_for_RGB-Based_Dense_3D_Hand_Pose_Estimation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://sites.google.com/view/3d-affordance-cvpr19", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Putting_Humans_in_a_Scene_Learning_Affordance_in_3D_Indoor_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xueting Li; Sifei Liu; Kihwan Kim; Xiaolong Wang; Ming-Hsuan Yang; Jan Kautz", + "aff": "University of California, Merced; Carnegie Mellon University; NVIDIA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Putting_Humans_in_a_Scene_Learning_Affordance_in_3D_Indoor_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Pyramid Feature Attention Network for Saliency Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhao_Pyramid_Feature_Attention_Network_for_Saliency_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ting Zhao; Xiangqian Wu", + "aff": "School of Computer Science and Technology, Harbin Institute of Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhao_Pyramid_Feature_Attention_Network_for_Saliency_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zheng_Pyramidal_Person_Re-IDentification_via_Multi-Loss_Dynamic_Training_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Feng Zheng; Cheng Deng; Xing Sun; Xinyang Jiang; Xiaowei Guo; Zongqiao Yu; Feiyue Huang; Rongrong Ji", + "aff": "YouTu Lab Tencent, Shanghai, China; School of Electronic Enigineering, Xidian University, Xi\u2019an 710071, China; Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China; School of Information Science and Engineering, Xiamen University, Xiamen, China; Peng Cheng Laboratory, Shenzhen, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zheng_Pyramidal_Person_Re-IDentification_via_Multi-Loss_Dynamic_Training_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "QATM: Quality-Aware Template Matching for Deep Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Cheng_QATM_Quality-Aware_Template_Matching_for_Deep_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jiaxin Cheng; Yue Wu; Wael AbdAlmageed; Premkumar Natarajan", + "aff": "USC Information Sciences Institute, Marina del Rey, CA, USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Cheng_QATM_Quality-Aware_Template_Matching_for_Deep_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Quantization Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yang_Quantization_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jiwei Yang; Xu Shen; Jun Xing; Xinmei Tian; Houqiang Li; Bing Deng; Jianqiang Huang; Xian-sheng Hua", + "aff": "Department of Electronic Engineering and Information Science, University of Science and Technology of China; Institute for Creative Technologies, University of Southern California; Damo Academy, Alibaba Group", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yang_Quantization_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Quasi-Unsupervised Color Constancy", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/claudio-unipv/quasi-unsupervised-cc", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Bianco_Quasi-Unsupervised_Color_Constancy_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Simone Bianco; Claudio Cusano", + "aff": "University of Milano-Bicocca; University of Pavia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Bianco_Quasi-Unsupervised_Color_Constancy_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Query-Guided End-To-End Person Search", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Munjal_Query-Guided_End-To-End_Person_Search_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Bharti Munjal; Sikandar Amin; Federico Tombari; Fabio Galasso", + "aff": "Technische Universit\u00a8at M\u00a8unchen; OSRAM GmbH", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Munjal_Query-Guided_End-To-End_Person_Search_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "RAVEN: A Dataset for Relational and Analogical Visual REasoNing", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_RAVEN_A_Dataset_for_Relational_and_Analogical_Visual_REasoNing_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chi Zhang; Feng Gao; Baoxiong Jia; Yixin Zhu; Song-Chun Zhu", + "aff": "UCLA Center for Vision, Cognition, Learning and Autonomy; UCLA Center for Vision, Cognition, Learning and Autonomy; International Center for AI and Robot Autonomy (CARA)", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_RAVEN_A_Dataset_for_Relational_and_Analogical_Visual_REasoNing_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "RENAS: Reinforced Evolutionary Neural Architecture Search", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_RENAS_Reinforced_Evolutionary_Neural_Architecture_Search_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yukang Chen; Gaofeng Meng; Qian Zhang; Shiming Xiang; Chang Huang; Lisen Mu; Xinggang Wang", + "aff": "Horizon Robotics; Huazhong University of Science and Technology; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences; School of Arti\ufb01cial Intelligence, University of Chinese Academy of Sciences", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_RENAS_Reinforced_Evolutionary_Neural_Architecture_Search_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "REPAIR: Removing Representation Bias by Dataset Resampling", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/JerryYLi/Dataset-REPAIR/", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_REPAIR_Removing_Representation_Bias_by_Dataset_Resampling_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yi Li; Nuno Vasconcelos", + "aff": "UC San Diego", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_REPAIR_Removing_Representation_Bias_by_Dataset_Resampling_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Peng_RES-PCA_A_Scalable_Approach_to_Recovering_Low-Rank_Matrices_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chong Peng; Chenglizhao Chen; Zhao Kang; Jianbo Li; Qiang Cheng", + "aff": "Department of Computer Science, University of Kentucky; College of Computer Science and Technology, Qingdao University; School of Computer Science and Engineering, University of Electronic Science and Technology of China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Peng_RES-PCA_A_Scalable_Approach_to_Recovering_Low-Rank_Matrices_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "RF-Net: An End-To-End Image Matching Network Based on Receptive Field", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Shen_RF-Net_An_End-To-End_Image_Matching_Network_Based_on_Receptive_Field_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xuelun Shen; Cheng Wang; Xin Li; Zenglei Yu; Jonathan Li; Chenglu Wen; Ming Cheng; Zijian He", + "aff": "School of Electrical Engineering and Computer Science, Louisiana State University, USA; Department of Geography and Environmental Management, University of Waterloo, Canada; Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Shen_RF-Net_An_End-To-End_Image_Matching_Network_Based_on_Receptive_Field_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_RGBD_Based_Dimensional_Decomposition_Residual_Network_for_3D_Semantic_Scene_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jie Li; Yu Liu; Dong Gong; Qinfeng Shi; Xia Yuan; Chunxia Zhao; Ian Reid", + "aff": "Nanjing University of Science and Technology, China; The University of Adelaide, Australia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_RGBD_Based_Dimensional_Decomposition_Residual_Network_for_3D_Semantic_Scene_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Sarmad_RL-GAN-Net_A_Reinforcement_Learning_Agent_Controlled_GAN_Network_for_Real-Time_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Muhammad Sarmad; Hyunjoo Jenny Lee; Young Min Kim", + "aff": "KAIST, South Korea; KIST, SNU, South Korea", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Sarmad_RL-GAN-Net_A_Reinforcement_Learning_Agent_Controlled_GAN_Network_for_Real-Time_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "ROI Pooled Correlation Filters for Visual Tracking", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Sun_ROI_Pooled_Correlation_Filters_for_Visual_Tracking_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yuxuan Sun; Chong Sun; Dong Wang; You He; Huchuan Lu", + "aff": "Tencent Youtu Lab, China; Naval Aviation University, China; School of Information and Communication Engineering, Dalian University of Technology, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Sun_ROI_Pooled_Correlation_Filters_for_Visual_Tracking_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Manhardt_ROI-10D_Monocular_Lifting_of_2D_Detection_to_6D_Pose_and_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Fabian Manhardt; Wadim Kehl; Adrien Gaidon", + "aff": "TU Munich; Toyota Research Institute", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Manhardt_ROI-10D_Monocular_Lifting_of_2D_Detection_to_6D_Pose_and_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "RVOS: End-To-End Recurrent Network for Video Object Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ventura_RVOS_End-To-End_Recurrent_Network_for_Video_Object_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Carles Ventura; Miriam Bellver; Andreu Girbau; Amaia Salvador; Ferran Marques; Xavier Giro-i-Nieto", + "aff": "Universitat Polit\u00e8cnica de Catalunya; Barcelona Supercomputing Center; Universitat Oberta de Catalunya", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ventura_RVOS_End-To-End_Recurrent_Network_for_Video_Object_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Radial Distortion Triangulation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kukelova_Radial_Distortion_Triangulation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zuzana Kukelova; Viktor Larsson", + "aff": "Visual Recognition Group, FEE, CTU in Prague; Department of Computer Science, ETH Zurich", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kukelova_Radial_Distortion_Triangulation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Ranked List Loss for Deep Metric Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Ranked_List_Loss_for_Deep_Metric_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xinshao Wang; Yang Hua; Elyor Kodirov; Guosheng Hu; Romain Garnier; Neil M. Robertson", + "aff": "Anyvision Research Team, UK; School of Electronics, Electrical Engineering and Computer Science, Queen\u2019s University Belfast, UK", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Ranked_List_Loss_for_Deep_Metric_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Rare Event Detection Using Disentangled Representation Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hamaguchi_Rare_Event_Detection_Using_Disentangled_Representation_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ryuhei Hamaguchi; Ken Sakurada; Ryosuke Nakamura", + "aff": "National Institute of Advanced Industrial Science and Technology (AIST)", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hamaguchi_Rare_Event_Detection_Using_Disentangled_Representation_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Ray-Space Projection Model for Light Field Camera", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Ray-Space_Projection_Model_for_Light_Field_Camera_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Qi Zhang; Jinbo Ling; Qing Wang; Jingyi Yu", + "aff": "School of Computer Science, Northwestern Polytechnical University, Xi'an 710072, P.R. China; ShanghaiTech University, Shanghai 200031, P.R. China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Ray-Space_Projection_Model_for_Light_Field_Camera_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Re-Identification Supervised Texture Generation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Re-Identification_Supervised_Texture_Generation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jian Wang; Yunshan Zhong; Yachun Li; Chi Zhang; Yichen Wei", + "aff": "Peking University; State Key Lab. of Computer Science, ISCAS & University of Chinese Academy of Sciences; Megvii Technology; Zhejiang University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Re-Identification_Supervised_Texture_Generation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Re-Identification With Consistent Attentive Siamese Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zheng_Re-Identification_With_Consistent_Attentive_Siamese_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Meng Zheng; Srikrishna Karanam; Ziyan Wu; Richard J. Radke", + "aff": "Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy NY; Siemens Corporate Technology, Princeton NJ", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zheng_Re-Identification_With_Consistent_Attentive_Siamese_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Re-Ranking via Metric Fusion for Object Retrieval and Person Re-Identification", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Bai_Re-Ranking_via_Metric_Fusion_for_Object_Retrieval_and_Person_Re-Identification_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Song Bai; Peng Tang; Philip H.S. Torr; Longin Jan Latecki", + "aff": "Temple University; University of Oxford; Huazhong University of Science and Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Bai_Re-Ranking_via_Metric_Fusion_for_Object_Retrieval_and_Person_Re-Identification_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "RePr: Improved Training of Convolutional Filters", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Prakash_RePr_Improved_Training_of_Convolutional_Filters_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Aaditya Prakash; James Storer; Dinei Florencio; Cha Zhang", + "aff": "Microsoft Research; Brandeis University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Prakash_RePr_Improved_Training_of_Convolutional_Filters_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Real-Time Self-Adaptive Deep Stereo", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/CVLAB-Unibo/Real-time-self-adaptive-deep-stereo", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tonioni_Real-Time_Self-Adaptive_Deep_Stereo_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Alessio Tonioni; Fabio Tosi; Matteo Poggi; Stefano Mattoccia; Luigi Di Stefano", + "aff": "Department of Computer Science and Engineering (DISI), University of Bologna, Italy", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tonioni_Real-Time_Self-Adaptive_Deep_Stereo_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Reasoning Visual Dialogs With Structural and Partial Observations", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/zilongzheng/visdial-gnn", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zheng_Reasoning_Visual_Dialogs_With_Structural_and_Partial_Observations_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zilong Zheng; Wenguan Wang; Siyuan Qi; Song-Chun Zhu", + "aff": "Inception Institute of Arti\ufb01cial Intelligence, UAE; University of California, Los Angeles, USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zheng_Reasoning_Visual_Dialogs_With_Structural_and_Partial_Observations_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/chanyn/Reasoning-RCNN", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xu_Reasoning-RCNN_Unifying_Adaptive_Global_Reasoning_Into_Large-Scale_Object_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hang Xu; Chenhan Jiang; Xiaodan Liang; Liang Lin; Zhenguo Li", + "aff": "Sun Yat-sen University; Huawei Noah\u2019s Ark Lab", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xu_Reasoning-RCNN_Unifying_Adaptive_Global_Reasoning_Into_Large-Scale_Object_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Recurrent Attentive Zooming for Joint Crowd Counting and Precise Localization", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Recurrent_Attentive_Zooming_for_Joint_Crowd_Counting_and_Precise_Localization_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chenchen Liu; Xinyu Weng; Yadong Mu", + "aff": "", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Recurrent_Attentive_Zooming_for_Joint_Crowd_Counting_and_Precise_Localization_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Recurrent Back-Projection Network for Video Super-Resolution", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Haris_Recurrent_Back-Projection_Network_for_Video_Super-Resolution_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Muhammad Haris; Gregory Shakhnarovich; Norimichi Ukita", + "aff": "Toyota Technological Institute at Chicago, United States; Toyota Technological Institute, Japan", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Haris_Recurrent_Back-Projection_Network_for_Video_Super-Resolution_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Recurrent MVSNet for High-Resolution Multi-View Stereo Depth Inference", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/YoYo000/MVSNet", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yao_Recurrent_MVSNet_for_High-Resolution_Multi-View_Stereo_Depth_Inference_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yao Yao; Zixin Luo; Shiwei Li; Tianwei Shen; Tian Fang; Long Quan", + "aff": "Shenzhen Zhuke Innovation Technology (Altizure); The Hong Kong University of Science and Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yao_Recurrent_MVSNet_for_High-Resolution_Multi-View_Stereo_Depth_Inference_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Recurrent Neural Network for (Un-)Supervised Learning of Monocular Video Visual Odometry and Depth", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Recurrent_Neural_Network_for_Un-Supervised_Learning_of_Monocular_Video_Visual_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Rui Wang; Stephen M. Pizer; Jan-Michael Frahm", + "aff": "University of North Carolina at Chapel Hill", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Recurrent_Neural_Network_for_Un-Supervised_Learning_of_Monocular_Video_Visual_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Recurrent Neural Networks With Intra-Frame Iterations for Video Deblurring", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Nah_Recurrent_Neural_Networks_With_Intra-Frame_Iterations_for_Video_Deblurring_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Seungjun Nah; Sanghyun Son; Kyoung Mu Lee", + "aff": "Department of ECE, ASRI, Seoul National University, Seoul, Korea", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Nah_Recurrent_Neural_Networks_With_Intra-Frame_Iterations_for_Video_Deblurring_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Recursive Visual Attention in Visual Dialog", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/yuleiniu/rva", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Niu_Recursive_Visual_Attention_in_Visual_Dialog_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yulei Niu; Hanwang Zhang; Manli Zhang; Jianhong Zhang; Zhiwu Lu; Ji-Rong Wen", + "aff": "Beijing Key Laboratory of Big Data Management and Analysis Methods, School of Information, Renmin University of China, Beijing 100872, China; Nanyang Technological University, Singapore 639798", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Niu_Recursive_Visual_Attention_in_Visual_Dialog_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Reducing_Uncertainty_in_Undersampled_MRI_Reconstruction_With_Active_Acquisition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zizhao Zhang; Adriana Romero; Matthew J. Muckley; Pascal Vincent; Lin Yang; Michal Drozdzal", + "aff": "Facebook AI Research; NYU School of Medicine; University of Florida", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Reducing_Uncertainty_in_Undersampled_MRI_Reconstruction_With_Active_Acquisition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Pilzer_Refine_and_Distill_Exploiting_Cycle-Inconsistency_and_Knowledge_Distillation_for_Unsupervised_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Andrea Pilzer; St\u00c3\u00a9phane Lathuili\u00c3\u00a8re; Nicu Sebe; Elisa Ricci", + "aff": "DISI, University of Trento; DISI, University of Trento, Technologies of Vision, Fondazione Bruno Kessler; DISI, University of Trento, Huawei Technologies Ireland", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Pilzer_Refine_and_Distill_Exploiting_Cycle-Inconsistency_and_Knowledge_Distillation_for_Unsupervised_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Reflection Removal Using a Dual-Pixel Sensor", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Punnappurath_Reflection_Removal_Using_a_Dual-Pixel_Sensor_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Abhijith Punnappurath; Michael S. Brown", + "aff": "York University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Punnappurath_Reflection_Removal_Using_a_Dual-Pixel_Sensor_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Reflective and Fluorescent Separation Under Narrow-Band Illumination", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Koyamatsu_Reflective_and_Fluorescent_Separation_Under_Narrow-Band_Illumination_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Koji Koyamatsu; Daichi Hidaka; Takahiro Okabe; Hendrik P. A. Lensch", + "aff": "University of T\u00fcbingen; Kyushu Institute of Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Koyamatsu_Reflective_and_Fluorescent_Separation_Under_Narrow-Band_Illumination_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Region Proposal by Guided Anchoring", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/open-mmlab/mmdetection", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Region_Proposal_by_Guided_Anchoring_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jiaqi Wang; Kai Chen; Shuo Yang; Chen Change Loy; Dahua Lin", + "aff": "Nanyang Technological University; Amazon Rekognition; CUHK - SenseTime Joint Lab, The Chinese University of Hong Kong", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Region_Proposal_by_Guided_Anchoring_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "RegularFace: Deep Face Recognition via Exclusive Regularization", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhao_RegularFace_Deep_Face_Recognition_via_Exclusive_Regularization_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kai Zhao; Jingyi Xu; Ming-Ming Cheng", + "aff": "TKLNDST, CS, Nankai University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhao_RegularFace_Deep_Face_Recognition_via_Exclusive_Regularization_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Regularizing Activation Distribution for Training Binarized Deep Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ding_Regularizing_Activation_Distribution_for_Training_Binarized_Deep_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ruizhou Ding; Ting-Wu Chin; Zeye Liu; Diana Marculescu", + "aff": "Carnegie Mellon University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ding_Regularizing_Activation_Distribution_for_Training_Binarized_Deep_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Reinforced_Cross-Modal_Matching_and_Self-Supervised_Imitation_Learning_for_Vision-Language_Navigation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xin Wang; Qiuyuan Huang; Asli Celikyilmaz; Jianfeng Gao; Dinghan Shen; Yuan-Fang Wang; William Yang Wang; Lei Zhang", + "aff": "Microsoft Research, Redmond; University of California, Santa Barbara; Duke University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Reinforced_Cross-Modal_Matching_and_Self-Supervised_Imitation_Learning_for_Vision-Language_Navigation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Relation-Shape Convolutional Neural Network for Point Cloud Analysis", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Relation-Shape_Convolutional_Neural_Network_for_Point_Cloud_Analysis_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yongcheng Liu; Bin Fan; Shiming Xiang; Chunhong Pan", + "aff": "National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences; School of Arti\ufb01cial Intelligence, University of Chinese Academy of Sciences", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Relation-Shape_Convolutional_Neural_Network_for_Point_Cloud_Analysis_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Relational Action Forecasting", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Sun_Relational_Action_Forecasting_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chen Sun; Abhinav Shrivastava; Carl Vondrick; Rahul Sukthankar; Kevin Murphy; Cordelia Schmid", + "aff": "University of Maryland; Google Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Sun_Relational_Action_Forecasting_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Relational Knowledge Distillation", + "status": "Poster", + "site": "", + "track": "main", + "project": "http://cvlab.postech.ac.kr/research/RKD/", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Park_Relational_Knowledge_Distillation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wonpyo Park; Dongju Kim; Yan Lu; Minsu Cho", + "aff": "POSTECH; POSTECH, Kakao Corp.; Microsoft Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Park_Relational_Knowledge_Distillation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Reliable and Efficient Image Cropping: A Grid Anchor Based Approach", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zeng_Reliable_and_Efficient_Image_Cropping_A_Grid_Anchor_Based_Approach_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hui Zeng; Lida Li; Zisheng Cao; Lei Zhang", + "aff": "DJI Co., Ltd; The Hong Kong Polytechnic University, DAMO Academy, Alibaba Group; The Hong Kong Polytechnic University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zeng_Reliable_and_Efficient_Image_Cropping_A_Grid_Anchor_Based_Approach_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Karlinsky_RepMet_Representative-Based_Metric_Learning_for_Classification_and_Few-Shot_Object_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Leonid Karlinsky; Joseph Shtok; Sivan Harary; Eli Schwartz; Amit Aides; Rogerio Feris; Raja Giryes; Alex M. Bronstein", + "aff": "IBM Research AI; Technion; Tel-Aviv University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Karlinsky_RepMet_Representative-Based_Metric_Learning_for_Classification_and_Few-Shot_Object_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wandt_RepNet_Weakly_Supervised_Training_of_an_Adversarial_Reprojection_Network_for_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Bastian Wandt; Bodo Rosenhahn", + "aff": "Leibniz Universit\u00e4t Hannover, Hannover, Germany", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wandt_RepNet_Weakly_Supervised_Training_of_an_Adversarial_Reprojection_Network_for_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Representation Flow for Action Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://piergiaj.github.io/rep-flow-site/", + "github": "https://github.com/piergiaj/rep-flow", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Piergiovanni_Representation_Flow_for_Action_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "AJ Piergiovanni; Michael S. Ryoo", + "aff": "Department of Computer Science, Indiana University, Bloomington, IN 47408", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Piergiovanni_Representation_Flow_for_Action_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Representation Similarity Analysis for Efficient Task Taxonomy & Transfer Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Dwivedi_Representation_Similarity_Analysis_for_Efficient_Task_Taxonomy__Transfer_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kshitij Dwivedi; Gemma Roig", + "aff": "Singapore University of Technology and Design", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Dwivedi_Representation_Similarity_Analysis_for_Efficient_Task_Taxonomy__Transfer_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Residual Networks for Light Field Image Super-Resolution", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Residual_Networks_for_Light_Field_Image_Super-Resolution_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Shuo Zhang; Youfang Lin; Hao Sheng", + "aff": "", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Residual_Networks_for_Light_Field_Image_Super-Resolution_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Residual Regression With Semantic Prior for Crowd Counting", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wan_Residual_Regression_With_Semantic_Prior_for_Crowd_Counting_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jia Wan; Wenhan Luo; Baoyuan Wu; Antoni B. Chan; Wei Liu", + "aff": "Department of Computer Science, City University of Hong Kong; Tencent AI Lab", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wan_Residual_Regression_With_Semantic_Prior_for_Crowd_Counting_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Rethinking Knowledge Graph Propagation for Zero-Shot Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kampffmeyer_Rethinking_Knowledge_Graph_Propagation_for_Zero-Shot_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Michael Kampffmeyer; Yinbo Chen; Xiaodan Liang; Hao Wang; Yujia Zhang; Eric P. Xing", + "aff": "Massachusetts Institute of Technology; Sun Yat-sen University; Tsinghua University; UiT The Arctic University of Norway; Carnegie Mellon University; Institute of Automation, Chinese Academy of Sciences", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kampffmeyer_Rethinking_Knowledge_Graph_Propagation_for_Zero-Shot_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Rethinking the Evaluation of Video Summaries", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Otani_Rethinking_the_Evaluation_of_Video_Summaries_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Mayu Otani; Yuta Nakashima; Esa Rahtu; Janne Heikkil\u00c3\u00a4", + "aff": "University of Oulu; Osaka University; CyberAgent, Inc.; Tampere University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Otani_Rethinking_the_Evaluation_of_Video_Summaries_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Retrieval-Augmented Convolutional Neural Networks Against Adversarial Examples", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhao_Retrieval-Augmented_Convolutional_Neural_Networks_Against_Adversarial_Examples_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jake Zhao (Junbo); Kyunghyun Cho", + "aff": "New York University & Facebook AI Research, CIFAR Azrieli Global Scholar; New York University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhao_Retrieval-Augmented_Convolutional_Neural_Networks_Against_Adversarial_Examples_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Revealing Scenes by Inverting Structure From Motion Reconstructions", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Pittaluga_Revealing_Scenes_by_Inverting_Structure_From_Motion_Reconstructions_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Francesco Pittaluga; Sanjeev J. Koppal; Sing Bing Kang; Sudipta N. Sinha", + "aff": "Microsoft Research; University of Florida", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Pittaluga_Revealing_Scenes_by_Inverting_Structure_From_Motion_Reconstructions_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Reversible GANs for Memory-Efficient Image-To-Image Translation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/van_der_Ouderaa_Reversible_GANs_for_Memory-Efficient_Image-To-Image_Translation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Tycho F.A. van der Ouderaa; Daniel E. Worrall", + "aff": "University of Amsterdam", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/van_der_Ouderaa_Reversible_GANs_for_Memory-Efficient_Image-To-Image_Translation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/WenbinLee/DN4.git", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Revisiting_Local_Descriptor_Based_Image-To-Class_Measure_for_Few-Shot_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wenbin Li; Lei Wang; Jinglin Xu; Jing Huo; Yang Gao; Jiebo Luo", + "aff": "University of Rochester, USA; Nanjing University, China; University of Wollongong, Australia; Northwestern Polytechnical University, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Revisiting_Local_Descriptor_Based_Image-To-Class_Measure_for_Few-Shot_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Revisiting Perspective Information for Efficient Crowd Counting", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Shi_Revisiting_Perspective_Information_for_Efficient_Crowd_Counting_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Miaojing Shi; Zhaohui Yang; Chao Xu; Qijun Chen", + "aff": "Univ Rennes, Inria, CNRS, IRISA; Key Laboratory of Machine Perception, Cooperative Medianet Innovation Center, Peking University; Department of Control Science and Engineering, Tongji University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Shi_Revisiting_Perspective_Information_for_Efficient_Crowd_Counting_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Revisiting Self-Supervised Visual Representation Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kolesnikov_Revisiting_Self-Supervised_Visual_Representation_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Alexander Kolesnikov; Xiaohua Zhai; Lucas Beyer", + "aff": "Google Brain, Z\u00a8urich, Switzerland", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kolesnikov_Revisiting_Self-Supervised_Visual_Representation_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Rob-GAN: Generator, Discriminator, and Adversarial Attacker", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://github.com/your-repo-name/Rob-GAN", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Rob-GAN_Generator_Discriminator_and_Adversarial_Attacker_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xuanqing Liu; Cho-Jui Hsieh", + "aff": "University of California, Los Angeles", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Rob-GAN_Generator_Discriminator_and_Adversarial_Attacker_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Robust Facial Landmark Detection via Occlusion-Adaptive Deep Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhu_Robust_Facial_Landmark_Detection_via_Occlusion-Adaptive_Deep_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Meilu Zhu; Daming Shi; Mingjie Zheng; Muhammad Sadiq", + "aff": "; College of Computer Science and Software Engineering, Shenzhen University, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhu_Robust_Facial_Landmark_Detection_via_Occlusion-Adaptive_Deep_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Robust Histopathology Image Analysis: To Label or to Synthesize?", + "status": "Oral", + "site": "", + "track": "main", + "project": "http://www3.cs.stonybrook.edu/~cvl/nuclei_seg.html", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hou_Robust_Histopathology_Image_Analysis_To_Label_or_to_Synthesize_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Le Hou; Ayush Agarwal; Dimitris Samaras; Tahsin M. Kurc; Rajarsi R. Gupta; Joel H. Saltz", + "aff": "Stony Brook University; Stony Brook University, Stanford University, California", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hou_Robust_Histopathology_Image_Analysis_To_Label_or_to_Synthesize_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/ziquan111/RobustPCLReconstruction", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lan_Robust_Point_Cloud_Based_Reconstruction_of_Large-Scale_Outdoor_Scenes_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ziquan Lan; Zi Jian Yew; Gim Hee Lee", + "aff": "Department of Computer Science, National University of Singapore", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lan_Robust_Point_Cloud_Based_Reconstruction_of_Large-Scale_Outdoor_Scenes_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Robust Subspace Clustering With Independent and Piecewise Identically Distributed Noise Modeling", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Robust_Subspace_Clustering_With_Independent_and_Piecewise_Identically_Distributed_Noise_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yuanman Li; Jiantao Zhou; Xianwei Zheng; Jinyu Tian; Yuan Yan Tang", + "aff": "Department of Computer and Information Science, University of Macau, Macau, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Robust_Subspace_Clustering_With_Independent_and_Piecewise_Identically_Distributed_Noise_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Robust Video Stabilization by Optimization in CNN Weight Space", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yu_Robust_Video_Stabilization_by_Optimization_in_CNN_Weight_Space_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jiyang Yu; Ravi Ramamoorthi", + "aff": "University of California, San Diego", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yu_Robust_Video_Stabilization_by_Optimization_in_CNN_Weight_Space_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Robustness Verification of Classification Deep Neural Networks via Linear Programming", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lin_Robustness_Verification_of_Classification_Deep_Neural_Networks_via_Linear_Programming_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wang Lin; Zhengfeng Yang; Xin Chen; Qingye Zhao; Xiangkun Li; Zhiming Liu; Jifeng He", + "aff": "", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lin_Robustness_Verification_of_Classification_Deep_Neural_Networks_via_Linear_Programming_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Robustness of 3D Deep Learning in an Adversarial Setting", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wicker_Robustness_of_3D_Deep_Learning_in_an_Adversarial_Setting_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Matthew Wicker; Marta Kwiatkowska", + "aff": "University of Oxford", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wicker_Robustness_of_3D_Deep_Learning_in_an_Adversarial_Setting_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Robustness via Curvature Regularization, and Vice Versa", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Moosavi-Dezfooli_Robustness_via_Curvature_Regularization_and_Vice_Versa_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Seyed-Mohsen Moosavi-Dezfooli; Alhussein Fawzi; Jonathan Uesato; Pascal Frossard", + "aff": "DeepMind; Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Moosavi-Dezfooli_Robustness_via_Curvature_Regularization_and_Vice_Versa_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Rules of the Road: Predicting Driving Behavior With a Convolutional Model of Semantic Interactions", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hong_Rules_of_the_Road_Predicting_Driving_Behavior_With_a_Convolutional_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Joey Hong; Benjamin Sapp; James Philbin", + "aff": "; Zoox; Caltech", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hong_Rules_of_the_Road_Predicting_Driving_Behavior_With_a_Convolutional_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "R\u00c2\u00b2GAN: Cross-Modal Recipe Retrieval With Generative Adversarial Network", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhu_R2GAN_Cross-Modal_Recipe_Retrieval_With_Generative_Adversarial_Network_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Bin Zhu; Chong-Wah Ngo; Jingjing Chen; Yanbin Hao", + "aff": "National University of Singapore; City University of Hong Kong", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhu_R2GAN_Cross-Modal_Recipe_Retrieval_With_Generative_Adversarial_Network_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "R\u00c2\u00b3 Adversarial Network for Cross Model Face Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_R3_Adversarial_Network_for_Cross_Model_Face_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ken Chen; Yichao Wu; Haoyu Qin; Ding Liang; Xuebo Liu; Junjie Yan", + "aff": "Sensetime Group Limited", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_R3_Adversarial_Network_for_Cross_Model_Face_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "S4Net: Single Stage Salient-Instance Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/RuochenFan/S4Net", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Fan_S4Net_Single_Stage_Salient-Instance_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ruochen Fan; Ming-Ming Cheng; Qibin Hou; Tai-Jiang Mu; Jingdong Wang; Shi-Min Hu", + "aff": "MSRA; Nankai University; Tsinghua University, BNRist", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Fan_S4Net_Single_Stage_Salient-Instance_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "SAIL-VOS: Semantic Amodal Instance Level Video Object Segmentation \u00e2\u0080\u0093 A Synthetic Dataset and Baselines", + "status": "Poster", + "site": "", + "track": "main", + "project": "http://sailvos.web.illinois.edu", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hu_SAIL-VOS_Semantic_Amodal_Instance_Level_Video_Object_Segmentation_-_A_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yuan-Ting Hu; Hong-Shuo Chen; Kexin Hui; Jia-Bin Huang; Alexander G. Schwing", + "aff": "University of Illinois at Urbana-Champaign; Virginia Tech", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hu_SAIL-VOS_Semantic_Amodal_Instance_Level_Video_Object_Segmentation_-_A_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "SCOPS: Self-Supervised Co-Part Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hung_SCOPS_Self-Supervised_Co-Part_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wei-Chih Hung; Varun Jampani; Sifei Liu; Pavlo Molchanov; Ming-Hsuan Yang; Jan Kautz", + "aff": "NVIDIA; UC Merced", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hung_SCOPS_Self-Supervised_Co-Part_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "SDC \u00e2\u0080\u0093 Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Schuster_SDC_-_Stacked_Dilated_Convolution_A_Unified_Descriptor_Network_for_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ren\u00c3\u00a9 Schuster; Oliver Wasenm\u00c3\u00bcller; Christian Unger; Didier Stricker", + "aff": "DFKI - German Research Center for Arti\ufb01cial Intelligence; BMW Group", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Schuster_SDC_-_Stacked_Dilated_Convolution_A_Unified_Descriptor_Network_for_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/intellhave/SDRSAC", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Le_SDRSAC_Semidefinite-Based_Randomized_Approach_for_Robust_Point_Cloud_Registration_Without_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Huu M. Le; Thanh-Toan Do; Tuan Hoang; Ngai-Man Cheung", + "aff": "Singapore University of Technology and Design; University of Liverpool", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Le_SDRSAC_Semidefinite-Based_Randomized_Approach_for_Robust_Point_Cloud_Registration_Without_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "SFNet: Learning Object-Aware Semantic Correspondence", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lee_SFNet_Learning_Object-Aware_Semantic_Correspondence_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Junghyup Lee; Dohyung Kim; Jean Ponce; Bumsub Ham", + "aff": "DI ENS, INRIA; Yonsei University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lee_SFNet_Learning_Object-Aware_Semantic_Correspondence_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/mengyuest/SIGNet", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Meng_SIGNet_Semantic_Instance_Aided_Unsupervised_3D_Geometry_Perception_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yue Meng; Yongxi Lu; Aman Raj; Samuel Sunarjo; Rui Guo; Tara Javidi; Gaurav Bansal; Dinesh Bharadia", + "aff": "Toyota InfoTechnology Center; UC San Diego", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Meng_SIGNet_Semantic_Instance_Aided_Unsupervised_3D_Geometry_Perception_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/MeioJane/SIXray", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Miao_SIXray_A_Large-Scale_Security_Inspection_X-Ray_Benchmark_for_Prohibited_Item_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Caijing Miao; Lingxi Xie; Fang Wan; Chi Su; Hongye Liu; Jianbin Jiao; Qixiang Ye", + "aff": "University of Chinese Academy of Sciences, Peng Cheng Laboratory; University of Chinese Academy of Sciences; The Johns Hopkins University; Kingsoft Cloud", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Miao_SIXray_A_Large-Scale_Security_Inspection_X-Ray_Benchmark_for_Prohibited_Item_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "SOSNet: Second Order Similarity Regularization for Local Descriptor Learning", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tian_SOSNet_Second_Order_Similarity_Regularization_for_Local_Descriptor_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yurun Tian; Xin Yu; Bin Fan; Fuchao Wu; Huub Heijnen; Vassileios Balntas", + "aff": "Australian Center for Robotic Vision, Australian National University; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; Scape Technologies", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tian_SOSNet_Second_Order_Similarity_Regularization_for_Local_Descriptor_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_SPM-Tracker_Series-Parallel_Matching_for_Real-Time_Visual_Object_Tracking_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Guangting Wang; Chong Luo; Zhiwei Xiong; Wenjun Zeng", + "aff": "Microsoft Research Asia; University of Science and Technology of China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_SPM-Tracker_Series-Parallel_Matching_for_Real-Time_Visual_Object_Tracking_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "SR-LSTM: State Refinement for LSTM Towards Pedestrian Trajectory Prediction", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_SR-LSTM_State_Refinement_for_LSTM_Towards_Pedestrian_Trajectory_Prediction_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Pu Zhang; Wanli Ouyang; Pengfei Zhang; Jianru Xue; Nanning Zheng", + "aff": "Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, China; The University of Sydney, SenseTime Computer Vision Research Group, Australia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_SR-LSTM_State_Refinement_for_LSTM_Towards_Pedestrian_Trajectory_Prediction_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "SSN: Learning Sparse Switchable Normalization via SparsestMax", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/switchablenorms/Sparse_SwitchNorm", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Shao_SSN_Learning_Sparse_Switchable_Normalization_via_SparsestMax_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wenqi Shao; Tianjian Meng; Jingyu Li; Ruimao Zhang; Yudian Li; Xiaogang Wang; Ping Luo", + "aff": "CHUK-SenseTime Joint Laboratory, Chinese University of Hong Kong; SenseTime Research, University of Pittsburgh; SenseTime Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Shao_SSN_Learning_Sparse_Switchable_Normalization_via_SparsestMax_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "STEP: Spatio-Temporal Progressive Learning for Video Action Detection", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yang_STEP_Spatio-Temporal_Progressive_Learning_for_Video_Action_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xitong Yang; Xiaodong Yang; Ming-Yu Liu; Fanyi Xiao; Larry S. Davis; Jan Kautz", + "aff": "University of Maryland, College Park; University of California, Davis; NVIDIA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yang_STEP_Spatio-Temporal_Progressive_Learning_for_Video_Action_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_STGAN_A_Unified_Selective_Transfer_Network_for_Arbitrary_Image_Attribute_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ming Liu; Yukang Ding; Min Xia; Xiao Liu; Errui Ding; Wangmeng Zuo; Shilei Wen", + "aff": "Harbin Institute of Technology; Department of Computer Vision Technology (VIS), Baidu Inc.; Harbin Institute of Technology, Peng Cheng Laboratory, Shenzhen", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_STGAN_A_Unified_Selective_Transfer_Network_for_Arbitrary_Image_Attribute_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Salient Object Detection With Pyramid Attention and Salient Edges", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Salient_Object_Detection_With_Pyramid_Attention_and_Salient_Edges_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wenguan Wang; Shuyang Zhao; Jianbing Shen; Steven C. H. Hoi; Ali Borji", + "aff": "Inception Institute of Arti\ufb01cial Intelligence, UAE and Beijing Institute of Technology, China; Inception Institute of Arti\ufb01cial Intelligence, UAE; MarkableAI, USA; Singapore Management University, Singapore and Salesforce Research Asia, Singapore; Beijing Institute of Technology, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Salient_Object_Detection_With_Pyramid_Attention_and_Salient_Edges_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Sampling Techniques for Large-Scale Object Detection From Sparsely Annotated Objects", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Niitani_Sampling_Techniques_for_Large-Scale_Object_Detection_From_Sparsely_Annotated_Objects_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yusuke Niitani; Takuya Akiba; Tommi Kerola; Toru Ogawa; Shotaro Sano; Shuji Suzuki", + "aff": "Preferred Networks, Inc.", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Niitani_Sampling_Techniques_for_Large-Scale_Object_Detection_From_Sparsely_Annotated_Objects_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Scalable Convolutional Neural Network for Image Compressed Sensing", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/wzhshi/SCSNet", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Shi_Scalable_Convolutional_Neural_Network_for_Image_Compressed_Sensing_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wuzhen Shi; Feng Jiang; Shaohui Liu; Debin Zhao", + "aff": "School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China; Peng Cheng Laboratory, Shenzhen, China; School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Shi_Scalable_Convolutional_Neural_Network_for_Image_Compressed_Sensing_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/jspenmar/SAND_features", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Spencer_Scale-Adaptive_Neural_Dense_Features_Learning_via_Hierarchical_Context_Aggregation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jaime Spencer; Richard Bowden; Simon Hadfield", + "aff": "Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Spencer_Scale-Adaptive_Neural_Dense_Features_Learning_via_Hierarchical_Context_Aggregation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Scan2CAD: Learning CAD Model Alignment in RGB-D Scans", + "status": "Oral", + "site": "", + "track": "main", + "project": "www.Scan2CAD.org", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Avetisyan_Scan2CAD_Learning_CAD_Model_Alignment_in_RGB-D_Scans_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Armen Avetisyan; Manuel Dahnert; Angela Dai; Manolis Savva; Angel X. Chang; Matthias Nie\u00c3\u009fner", + "aff": "Technical University of Munich; Simon Fraser University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Avetisyan_Scan2CAD_Learning_CAD_Model_Alignment_in_RGB-D_Scans_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Scan2Mesh: From Unstructured Range Scans to 3D Meshes", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Dai_Scan2Mesh_From_Unstructured_Range_Scans_to_3D_Meshes_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Angela Dai; Matthias Nie\u00c3\u009fner", + "aff": "Technical University of Munich", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Dai_Scan2Mesh_From_Unstructured_Range_Scans_to_3D_Meshes_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Scene Categorization From Contours: Medial Axis Based Salience Measures", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Rezanejad_Scene_Categorization_From_Contours_Medial_Axis_Based_Salience_Measures_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Morteza Rezanejad; Gabriel Downs; John Wilder; Dirk B. Walther; Allan Jepson; Sven Dickinson; Kaleem Siddiqi", + "aff": "University of Toronto, ON, Canada; Samsung Toronto AI Research Center, ON, Canada\u2217; McGill University, Montr\u00b4eal, QC, Canada; University of Toronto, ON, Canada", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Rezanejad_Scene_Categorization_From_Contours_Medial_Axis_Based_Salience_Measures_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Scene Graph Generation With External Knowledge and Image Reconstruction", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Gu_Scene_Graph_Generation_With_External_Knowledge_and_Image_Reconstruction_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jiuxiang Gu; Handong Zhao; Zhe Lin; Sheng Li; Jianfei Cai; Mingyang Ling", + "aff": "Adobe Research, USA; Google Cloud AI, USA; ROSE Lab, Interdisciplinary Graduate School, Nanyang Technological University, Singapore; University of Georgia, USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Gu_Scene_Graph_Generation_With_External_Knowledge_and_Image_Reconstruction_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Fang_Scene_Memory_Transformer_for_Embodied_Agents_in_Long-Horizon_Tasks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kuan Fang; Alexander Toshev; Li Fei-Fei; Silvio Savarese", + "aff": "Stanford University; Google Brain", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Fang_Scene_Memory_Transformer_for_Embodied_Agents_in_Long-Horizon_Tasks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Scene Parsing via Integrated Classification Model and Variance-Based Regularization", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/shihengcan/ICM-matcaffeInput", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Shi_Scene_Parsing_via_Integrated_Classification_Model_and_Variance-Based_Regularization_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hengcan Shi; Hongliang Li; Qingbo Wu; Zichen Song", + "aff": "University of Electronic Science and Technology of China, Chengdu, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Shi_Scene_Parsing_via_Integrated_Classification_Model_and_Variance-Based_Regularization_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "SceneCode: Monocular Dense Semantic Reconstruction Using Learned Encoded Scene Representations", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhi_SceneCode_Monocular_Dense_Semantic_Reconstruction_Using_Learned_Encoded_Scene_Representations_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Shuaifeng Zhi; Michael Bloesch; Stefan Leutenegger; Andrew J. Davison", + "aff": "Dyson Robotics Laboratory at Imperial College, Department of Computing, Imperial College London, UK", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhi_SceneCode_Monocular_Dense_Semantic_Reconstruction_Using_Learned_Encoded_Scene_Representations_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "ScratchDet: Training Single-Shot Object Detectors From Scratch", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/KimSoybean/ScratchDet", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhu_ScratchDet_Training_Single-Shot_Object_Detectors_From_Scratch_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Rui Zhu; Shifeng Zhang; Xiaobo Wang; Longyin Wen; Hailin Shi; Liefeng Bo; Tao Mei", + "aff": "JD Digits, USA; CASIA, UCAS, China; JD AI Research, China; Sun Yat-sen University, China; JD AI Research, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhu_ScratchDet_Training_Single-Shot_Object_Detectors_From_Scratch_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Sea-Thru: A Method for Removing Water From Underwater Images", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Akkaynak_Sea-Thru_A_Method_for_Removing_Water_From_Underwater_Images_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Derya Akkaynak; Tali Treibitz", + "aff": "University of Haifa", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Akkaynak_Sea-Thru_A_Method_for_Removing_Water_From_Underwater_Images_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Seamless Scene Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Porzi_Seamless_Scene_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Lorenzo Porzi; Samuel Rota Bul\u00c3\u00b2; Aleksander Colovic; Peter Kontschieder", + "aff": "Mapillary Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Porzi_Seamless_Scene_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Searching for a Robust Neural Architecture in Four GPU Hours", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/D-X-Y/GDAS", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Dong_Searching_for_a_Robust_Neural_Architecture_in_Four_GPU_Hours_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xuanyi Dong; Yi Yang", + "aff": "University of Technology Sydney, Baidu Research; University of Technology Sydney", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Dong_Searching_for_a_Robust_Neural_Architecture_in_Four_GPU_Hours_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Second-Order Attention Network for Single Image Super-Resolution", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Dai_Second-Order_Attention_Network_for_Single_Image_Super-Resolution_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Tao Dai; Jianrui Cai; Yongbing Zhang; Shu-Tao Xia; Lei Zhang", + "aff": "Graduate School at Shenzhen, Tsinghua University, Shenzhen, China; Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China; Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China; DAMO Academy, Alibaba Group; Graduate School at Shenzhen, Tsinghua University, Shenzhen, China; PCL Research Center of Networks and Communications, Peng Cheng Laboratory, Shenzhen, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Dai_Second-Order_Attention_Network_for_Single_Image_Super-Resolution_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/carrierlxk/COSNet", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lu_See_More_Know_More_Unsupervised_Video_Object_Segmentation_With_Co-Attention_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiankai Lu; Wenguan Wang; Chao Ma; Jianbing Shen; Ling Shao; Fatih Porikli", + "aff": "Inception Institute of Arti\ufb01cial Intelligence, UAE; Australian National University, Australia; MoE Key Lab of Arti\ufb01cial Intelligence, AI Institute, Shanghai Jiao Tong University, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lu_See_More_Know_More_Unsupervised_Video_Object_Segmentation_With_Co-Attention_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Cao_SeerNet_Predicting_Convolutional_Neural_Network_Feature-Map_Sparsity_Through_Low-Bit_Quantization_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Shijie Cao; Lingxiao Ma; Wencong Xiao; Chen Zhang; Yunxin Liu; Lintao Zhang; Lanshun Nie; Zhi Yang", + "aff": "", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Cao_SeerNet_Predicting_Convolutional_Neural_Network_Feature-Map_Sparsity_Through_Low-Bit_Quantization_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Segmentation-Driven 6D Object Pose Estimation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hu_Segmentation-Driven_6D_Object_Pose_Estimation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yinlin Hu; Joachim Hugonot; Pascal Fua; Mathieu Salzmann", + "aff": "CVLab, EPFL, Switzerland", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hu_Segmentation-Driven_6D_Object_Pose_Estimation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "SelFlow: Self-Supervised Learning of Optical Flow", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_SelFlow_Self-Supervised_Learning_of_Optical_Flow_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Pengpeng Liu; Michael Lyu; Irwin King; Jia Xu", + "aff": "Tencent AI Lab; Chinese University of Hong Kong", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_SelFlow_Self-Supervised_Learning_of_Optical_Flow_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Selective Kernel Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/implus/SKNet", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Selective_Kernel_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiang Li; Wenhai Wang; Xiaolin Hu; Jian Yang", + "aff": "PCALab, Nanjing University of Science and Technology; Tsinghua University; Nanjing University; Momenta; PCALab, Nanjing University of Science and Technology; Momenta", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Selective_Kernel_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Selective Sensor Fusion for Neural Visual-Inertial Odometry", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Selective_Sensor_Fusion_for_Neural_Visual-Inertial_Odometry_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Changhao Chen; Stefano Rosa; Yishu Miao; Chris Xiaoxuan Lu; Wei Wu; Andrew Markham; Niki Trigoni", + "aff": "MO Intelligence; Tencent; Department of Computer Science, University of Oxford", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Selective_Sensor_Fusion_for_Neural_Visual-Inertial_Odometry_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Self-Calibrating Deep Photometric Stereo Networks", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://guanyingc.github.io/SDPS-Net", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Self-Calibrating_Deep_Photometric_Stereo_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Guanying Chen; Kai Han; Boxin Shi; Yasuyuki Matsushita; Kwan-Yee K. Wong", + "aff": "Peking University; The University of Hong Kong; University of Oxford; Osaka University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Self-Calibrating_Deep_Photometric_Stereo_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Self-Critical n-Step Training for Image Captioning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Gao_Self-Critical_N-Step_Training_for_Image_Captioning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Junlong Gao; Shiqi Wang; Shanshe Wang; Siwei Ma; Wen Gao", + "aff": "Institute of Digital Media, Peking University; Department of Computer Science, City University of Hong Kong, Hong Kong; Peng Cheng Laboratory; Peking University Shenzhen Graduate School", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Gao_Self-Critical_N-Step_Training_for_Image_Captioning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Self-Supervised 3D Hand Pose Estimation Through Training by Fitting", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wan_Self-Supervised_3D_Hand_Pose_Estimation_Through_Training_by_Fitting_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chengde Wan; Thomas Probst; Luc Van Gool; Angela Yao", + "aff": "ETH Z\u00fcrich; National University of Singapore; ETH Z\u00fcrich/KU Leuven", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wan_Self-Supervised_3D_Hand_Pose_Estimation_Through_Training_by_Fitting_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yoon_Self-Supervised_Adaptation_of_High-Fidelity_Face_Models_for_Monocular_Performance_Tracking_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jae Shin Yoon; Takaaki Shiratori; Shoou-I Yu; Hyun Soo Park", + "aff": "Facebook Reality Labs; University of Minnesota", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yoon_Self-Supervised_Adaptation_of_High-Fidelity_Face_Models_for_Monocular_Performance_Tracking_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Self-Supervised Convolutional Subspace Clustering Network", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Self-Supervised_Convolutional_Subspace_Clustering_Network_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Junjian Zhang; Chun-Guang Li; Chong You; Xianbiao Qi; Honggang Zhang; Jun Guo; Zhouchen Lin", + "aff": "Shenzhen Research Institute of Big Data; EECS, University of California, Berkeley; Key Laboratory of Machine Perception (MOE), School of EECS, Peking University; SICE, Beijing University of Posts and Telecommunications", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Self-Supervised_Convolutional_Subspace_Clustering_Network_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Self-Supervised GANs via Auxiliary Rotation Loss", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/google/compare_gan", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Self-Supervised_GANs_via_Auxiliary_Rotation_Loss_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ting Chen; Xiaohua Zhai; Marvin Ritter; Mario Lucic; Neil Houlsby", + "aff": "University of California, Los Angeles; Google Brain", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Self-Supervised_GANs_via_Auxiliary_Rotation_Loss_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Self-Supervised Learning of 3D Human Pose Using Multi-View Geometry", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/mkocabas/EpipolarPose", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kocabas_Self-Supervised_Learning_of_3D_Human_Pose_Using_Multi-View_Geometry_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Muhammed Kocabas; Salih Karagoz; Emre Akbas", + "aff": "Department of Computer Engineering, Middle East Technical University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kocabas_Self-Supervised_Learning_of_3D_Human_Pose_Using_Multi-View_Geometry_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Self-Supervised Learning via Conditional Motion Propagation", + "status": "Poster", + "site": "", + "track": "main", + "project": "http://mmlab.ie.cuhk.edu.hk/projects/CMP/", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhan_Self-Supervised_Learning_via_Conditional_Motion_Propagation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiaohang Zhan; Xingang Pan; Ziwei Liu; Dahua Lin; Chen Change Loy", + "aff": "Nanyang Technological University; CUHK - SenseTime Joint Lab, The Chinese University of Hong Kong", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhan_Self-Supervised_Learning_via_Conditional_Motion_Propagation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Self-Supervised Representation Learning From Videos for Facial Action Unit Detection", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Self-Supervised_Representation_Learning_From_Videos_for_Facial_Action_Unit_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yong Li; Jiabei Zeng; Shiguang Shan; Xilin Chen", + "aff": "Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China; Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China; Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai, 200031, China; Peng Cheng Laboratory, Shenzhen, 518055, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Self-Supervised_Representation_Learning_From_Videos_for_Facial_Action_Unit_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Self-Supervised Representation Learning by Rotation Feature Decoupling", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Feng_Self-Supervised_Representation_Learning_by_Rotation_Feature_Decoupling_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zeyu Feng; Chang Xu; Dacheng Tao", + "aff": "UBTECH Sydney AI Centre, School of Computer Science, FEIT, University of Sydney, Darlington, NSW 2008, Australia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Feng_Self-Supervised_Representation_Learning_by_Rotation_Feature_Decoupling_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Self-Supervised Spatio-Temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/laura-wang/video repres mas", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Self-Supervised_Spatio-Temporal_Representation_Learning_for_Videos_by_Predicting_Motion_and_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jiangliu Wang; Jianbo Jiao; Linchao Bao; Shengfeng He; Yunhui Liu; Wei Liu", + "aff": "Tencent AI Lab; The Chinese University of Hong Kong; University of Oxford; South China University of Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Self-Supervised_Spatio-Temporal_Representation_Learning_for_Videos_by_Predicting_Motion_and_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Self-Supervised Spatiotemporal Learning via Video Clip Order Prediction", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xu_Self-Supervised_Spatiotemporal_Learning_via_Video_Clip_Order_Prediction_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Dejing Xu; Jun Xiao; Zhou Zhao; Jian Shao; Di Xie; Yueting Zhuang", + "aff": "Hikvision Research Institute; Zhejiang University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xu_Self-Supervised_Spatiotemporal_Learning_via_Video_Clip_Order_Prediction_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Semantic_Alignment_Finding_Semantically_Consistent_Ground-Truth_for_Facial_Landmark_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhiwei Liu; Xiangyu Zhu; Guosheng Hu; Haiyun Guo; Ming Tang; Zhen Lei; Neil M. Robertson; Jinqiao Wang", + "aff": "AnyVision; Queens University Belfast; Queens University Belfast; National Lab of Pattern Recognition, Institute of Automation, CAS, Beijing 100190, China; National Lab of Pattern Recognition, Institute of Automation, CAS, Beijing 100190, China; Visionfinity Inc., ObjectEye Inc., Universal AI Inc.; National Lab of Pattern Recognition, Institute of Automation, CAS, Beijing 100190, China; University of Chinese Academy of Sciences", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Semantic_Alignment_Finding_Semantically_Consistent_Ground-Truth_for_Facial_Landmark_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Semantic Attribute Matching Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kim_Semantic_Attribute_Matching_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Seungryong Kim; Dongbo Min; Somi Jeong; Sunok Kim; Sangryul Jeon; Kwanghoon Sohn", + "aff": "Yonsei University, Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL); Ewha Womans University; Yonsei University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kim_Semantic_Attribute_Matching_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Semantic Component Decomposition for Face Attribute Manipulation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Semantic_Component_Decomposition_for_Face_Attribute_Manipulation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ying-Cong Chen; Xiaohui Shen; Zhe Lin; Xin Lu; I-Ming Pao; Jiaya Jia", + "aff": "Adobe Research; The Chinese University of Hong Kong; ByteDance AI Lab; The Chinese University of Hong Kong, Tencent Youtu Lab", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Semantic_Component_Decomposition_for_Face_Attribute_Manipulation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Semantic Correlation Promoted Shape-Variant Context for Segmentation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ding_Semantic_Correlation_Promoted_Shape-Variant_Context_for_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Henghui Ding; Xudong Jiang; Bing Shuai; Ai Qun Liu; Gang Wang", + "aff": "School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore; Alibaba Group, Hangzhou, China; Amazon, Seattle, United States", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ding_Semantic_Correlation_Promoted_Shape-Variant_Context_for_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Semantic Graph Convolutional Networks for 3D Human Pose Regression", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhao_Semantic_Graph_Convolutional_Networks_for_3D_Human_Pose_Regression_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Long Zhao; Xi Peng; Yu Tian; Mubbasir Kapadia; Dimitris N. Metaxas", + "aff": "Rutgers University; Binghamton University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhao_Semantic_Graph_Convolutional_Networks_for_3D_Human_Pose_Regression_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Semantic Image Synthesis With Spatially-Adaptive Normalization", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Park_Semantic_Image_Synthesis_With_Spatially-Adaptive_Normalization_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Taesung Park; Ming-Yu Liu; Ting-Chun Wang; Jun-Yan Zhu", + "aff": "", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Park_Semantic_Image_Synthesis_With_Spatially-Adaptive_Normalization_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Semantic Projection Network for Zero- and Few-Label Semantic Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xian_Semantic_Projection_Network_for_Zero-_and_Few-Label_Semantic_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yongqin Xian; Subhabrata Choudhury; Yang He; Bernt Schiele; Zeynep Akata", + "aff": "Max Planck Institute for Informatics, Amsterdam Machine Learning Lab, Saarland Informatics Campus University of Amsterdam; Max Planck Institute for Informatics", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xian_Semantic_Projection_Network_for_Zero-_and_Few-Label_Semantic_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Semantically Aligned Bias Reducing Zero Shot Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Paul_Semantically_Aligned_Bias_Reducing_Zero_Shot_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Akanksha Paul; Narayanan C. Krishnan; Prateek Munjal", + "aff": "Indian Institute of Technology Ropar", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Paul_Semantically_Aligned_Bias_Reducing_Zero_Shot_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-Based Image Retrieval", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Dutta_Semantically_Tied_Paired_Cycle_Consistency_for_Zero-Shot_Sketch-Based_Image_Retrieval_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Anjan Dutta; Zeynep Akata", + "aff": "Computer Vision Center, Autonomous University of Barcelona; Amsterdam Machine Learning Lab, University of Amsterdam", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Dutta_Semantically_Tied_Paired_Cycle_Consistency_for_Zero-Shot_Sketch-Based_Image_Retrieval_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Semantics Disentangling for Text-To-Image Generation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yin_Semantics_Disentangling_for_Text-To-Image_Generation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Guojun Yin; Bin Liu; Lu Sheng; Nenghai Yu; Xiaogang Wang; Jing Shao", + "aff": "CUHK-SenseTime Joint Lab, The Chinese University of Hong Kong; University of Science and Technology of China, Key Laboratory of Electromagnetic Space Information, The Chinese Academy of Sciences; CUHK-SenseTime Joint Lab, The Chinese University of Hong Kong, College of Software, Beihang University; SenseTime Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yin_Semantics_Disentangling_for_Text-To-Image_Generation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Semi-Supervised Learning With Graph Learning-Convolutional Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Jiang_Semi-Supervised_Learning_With_Graph_Learning-Convolutional_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Bo Jiang; Ziyan Zhang; Doudou Lin; Jin Tang; Bin Luo", + "aff": "School of Computer Science and Technology, Anhui University, Hefei, 230601, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Jiang_Semi-Supervised_Learning_With_Graph_Learning-Convolutional_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Semi-Supervised Transfer Learning for Image Rain Removal", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wei_Semi-Supervised_Transfer_Learning_for_Image_Rain_Removal_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wei Wei; Deyu Meng; Qian Zhao; Zongben Xu; Ying Wu", + "aff": "Department of Electrical and Computer Engineering, Northwestern University, IL, USA; School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wei_Semi-Supervised_Transfer_Learning_for_Image_Rain_Removal_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Sensitive-Sample Fingerprinting of Deep Neural Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/He_Sensitive-Sample_Fingerprinting_of_Deep_Neural_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zecheng He; Tianwei Zhang; Ruby Lee", + "aff": "Princeton University; No Affiliation", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/He_Sensitive-Sample_Fingerprinting_of_Deep_Neural_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Separate to Adapt: Open Set Domain Adaptation via Progressive Separation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Separate_to_Adapt_Open_Set_Domain_Adaptation_via_Progressive_Separation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hong Liu; Zhangjie Cao; Mingsheng Long; Jianmin Wang; Qiang Yang", + "aff": "Hong Kong University of Science and Technology, China; Research Center for Big Data, Tsinghua University, China; KLiss, MOE; BNRist; School of Software, Tsinghua University, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Separate_to_Adapt_Open_Set_Domain_Adaptation_via_Progressive_Separation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Sequence-To-Sequence Domain Adaptation Network for Robust Text Image Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Sequence-To-Sequence_Domain_Adaptation_Network_for_Robust_Text_Image_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yaping Zhang; Shuai Nie; Wenju Liu; Xing Xu; Dongxiang Zhang; Heng Tao Shen", + "aff": "College of Computer Science and Technology, Zhejiang University, China and Afanti AI Lab, China; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences (CASIA); National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences (CASIA) and School of Arti\ufb01cial Intelligence, University of Chinese Academy of Sciences (UCAS); Center for Future Media & School of Computer Science and Engineering, University of Electronic Science and Technology of China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Sequence-To-Sequence_Domain_Adaptation_Network_for_Robust_Text_Image_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Shape Robust Text Detection With Progressive Scale Expansion Network", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Shape_Robust_Text_Detection_With_Progressive_Scale_Expansion_Network_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wenhai Wang; Enze Xie; Xiang Li; Wenbo Hou; Tong Lu; Gang Yu; Shuai Shao", + "aff": "National Key Lab for Novel Software Technology, Nanjing University; Momenta; Megvii (Face++) Technology Inc.; School of Computer and Engineering, Nanjing University of Science and Technology; PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, and Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China; Momenta (visiting scholar); National Key Lab for Novel Software Technology, Nanjing University; Department of Comuter Science and Technology, Tongji University; Megvii (Face++) Technology Inc.", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Shape_Robust_Text_Detection_With_Progressive_Scale_Expansion_Network_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Shape Unicode: A Unified Shape Representation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Muralikrishnan_Shape_Unicode_A_Unified_Shape_Representation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Sanjeev Muralikrishnan; Vladimir G. Kim; Matthew Fisher; Siddhartha Chaudhuri", + "aff": "Adobe Research; Adobe Research, IIT Bombay", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Muralikrishnan_Shape_Unicode_A_Unified_Shape_Representation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Shape2Motion: Joint Analysis of Motion Parts and Attributes From 3D Shapes", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Shape2Motion_Joint_Analysis_of_Motion_Parts_and_Attributes_From_3D_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiaogang Wang; Bin Zhou; Yahao Shi; Xiaowu Chen; Qinping Zhao; Kai Xu", + "aff": "National University of Defense Technology; State Key Laboratory of Virtual Reality Technology and Systems, Beihang University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Shape2Motion_Joint_Analysis_of_Motion_Parts_and_Attributes_From_3D_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Shapes and Context: In-The-Wild Image Synthesis & Manipulation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Bansal_Shapes_and_Context_In-The-Wild_Image_Synthesis__Manipulation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Aayush Bansal; Yaser Sheikh; Deva Ramanan", + "aff": "Carnegie Mellon University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Bansal_Shapes_and_Context_In-The-Wild_Image_Synthesis__Manipulation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "ShieldNets: Defending Against Adversarial Attacks Using Probabilistic Adversarial Robustness", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Theagarajan_ShieldNets_Defending_Against_Adversarial_Attacks_Using_Probabilistic_Adversarial_Robustness_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Rajkumar Theagarajan; Ming Chen; Bir Bhanu; Jing Zhang", + "aff": "KLA Corporation, Milpitas, CA 95035; Lawrence Berkeley National Laboratory, Berkeley, CA 94720; Center for Research in Intelligent Systems, University of California, Riverside, CA 92521", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Theagarajan_ShieldNets_Defending_Against_Adversarial_Attacks_Using_Probabilistic_Adversarial_Robustness_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Shifting More Attention to Video Salient Object Detection", + "status": "Oral", + "site": "", + "track": "main", + "project": "http://mmcheng.net/DAVSOD/", + "github": "http://dpfan.net/DAVSOD/", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Fan_Shifting_More_Attention_to_Video_Salient_Object_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Deng-Ping Fan; Wenguan Wang; Ming-Ming Cheng; Jianbing Shen", + "aff": "Beijing Institute of Technology; TKLNDST, CS, Nankai University; Inception Institute of Arti\ufb01cial Intelligence", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Fan_Shifting_More_Attention_to_Video_Salient_Object_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/aimagelab/show-control-and-tell", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Cornia_Show_Control_and_Tell_A_Framework_for_Generating_Controllable_and_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Marcella Cornia; Lorenzo Baraldi; Rita Cucchiara", + "aff": "University of Modena and Reggio Emilia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Cornia_Show_Control_and_Tell_A_Framework_for_Generating_Controllable_and_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "SiCloPe: Silhouette-Based Clothed People", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Natsume_SiCloPe_Silhouette-Based_Clothed_People_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ryota Natsume; Shunsuke Saito; Zeng Huang; Weikai Chen; Chongyang Ma; Hao Li; Shigeo Morishima", + "aff": "Snap Inc.; Waseda University; University of Southern California; USC Institute for Creative Technologies", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Natsume_SiCloPe_Silhouette-Based_Clothed_People_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks", + "status": "Oral", + "site": "", + "track": "main", + "project": "http://bo-li.info/SiamRPN++", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_SiamRPN_Evolution_of_Siamese_Visual_Tracking_With_Very_Deep_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Bo Li; Wei Wu; Qiang Wang; Fangyi Zhang; Junliang Xing; Junjie Yan", + "aff": "VIPL, ICT; NLPR, CASIA; SenseTime Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_SiamRPN_Evolution_of_Siamese_Visual_Tracking_With_Very_Deep_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Fan_Siamese_Cascaded_Region_Proposal_Networks_for_Real-Time_Visual_Tracking_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Heng Fan; Haibin Ling", + "aff": "Department of Computer and Information Sciences, Temple University, Philadelphia, PA USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Fan_Siamese_Cascaded_Region_Proposal_Networks_for_Real-Time_Visual_Tracking_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Side Window Filtering", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yin_Side_Window_Filtering_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hui Yin; Yuanhao Gong; Guoping Qiu", + "aff": "School of Computer Science, The University of Nottingham, UK; College of Information Engineering and Guangdong Key Lab for Intelligent Information Processing, Shenzhen University, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yin_Side_Window_Filtering_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Signal-To-Noise Ratio: A Robust Distance Metric for Deep Metric Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yuan_Signal-To-Noise_Ratio_A_Robust_Distance_Metric_for_Deep_Metric_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Tongtong Yuan; Weihong Deng; Jian Tang; Yinan Tang; Binghui Chen", + "aff": "AI Labs, Didi Chuxing, Beijing, China; Beijing University of Posts and Telecommunications, Beijing, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yuan_Signal-To-Noise_Ratio_A_Robust_Distance_Metric_for_Deep_Metric_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Sim-Real Joint Reinforcement Transfer for 3D Indoor Navigation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhu_Sim-Real_Joint_Reinforcement_Transfer_for_3D_Indoor_Navigation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Fengda Zhu; Linchao Zhu; Yi Yang", + "aff": "Baidu Research; CAI, University of Technology Sydney; UTS-SUSTech Joint Research Centre, Southern University of Science and Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhu_Sim-Real_Joint_Reinforcement_Transfer_for_3D_Indoor_Navigation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/James_Sim-To-Real_via_Sim-To-Sim_Data-Efficient_Robotic_Grasping_via_Randomized-To-Canonical_Adaptation_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Stephen James; Paul Wohlhart; Mrinal Kalakrishnan; Dmitry Kalashnikov; Alex Irpan; Julian Ibarz; Sergey Levine; Raia Hadsell; Konstantinos Bousmalis", + "aff": "X, Mountain View, California, United States; Imperial College London. Work done while Stephen James was at X; DeepMind, London; Google Brain, United States", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/James_Sim-To-Real_via_Sim-To-Sim_Data-Efficient_Robotic_Grasping_via_Randomized-To-Canonical_Adaptation_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "SimulCap : Single-View Human Performance Capture With Cloth Simulation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yu_SimulCap__Single-View_Human_Performance_Capture_With_Cloth_Simulation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Tao Yu; Zerong Zheng; Yuan Zhong; Jianhui Zhao; Qionghai Dai; Gerard Pons-Moll; Yebin Liu", + "aff": "", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yu_SimulCap__Single-View_Human_Performance_Capture_With_Cloth_Simulation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network Using Truncated Gaussian Approximation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/He_Simultaneously_Optimizing_Weight_and_Quantizer_of_Ternary_Neural_Network_Using_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhezhi He; Deliang Fan", + "aff": "University of Central Florida, Orlando, FL 32816", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/He_Simultaneously_Optimizing_Weight_and_Quantizer_of_Ternary_Neural_Network_Using_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Single Image Depth Estimation Trained via Depth From Defocus Cues", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Gur_Single_Image_Depth_Estimation_Trained_via_Depth_From_Defocus_Cues_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Shir Gur; Lior Wolf", + "aff": "Tel Aviv University; Facebook AI Research and Tel Aviv University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Gur_Single_Image_Depth_Estimation_Trained_via_Depth_From_Defocus_Cues_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Single Image Deraining: A Comprehensive Benchmark Analysis", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/lsy17096535/Single-Image-Deraining", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Single_Image_Deraining_A_Comprehensive_Benchmark_Analysis_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Siyuan Li; Iago Breno Araujo; Wenqi Ren; Zhangyang Wang; Eric K. Tokuda; Roberto Hirata Junior; Roberto Cesar-Junior; Jiawan Zhang; Xiaojie Guo; Xiaochun Cao", + "aff": "Tianjin University; SKLOIS, IIE, CAS; Texas A&M University; University of Sao Paulo", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Single_Image_Deraining_A_Comprehensive_Benchmark_Analysis_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Single Image Reflection Removal Beyond Linearity", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wen_Single_Image_Reflection_Removal_Beyond_Linearity_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Qiang Wen; Yinjie Tan; Jing Qin; Wenxi Liu; Guoqiang Han; Shengfeng He", + "aff": "College of Mathematics and Computer Science, Fuzhou University; School of Computer Science and Engineering, South China University of Technology; Department of Nursing, Hong Kong Polytechnic University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wen_Single_Image_Reflection_Removal_Beyond_Linearity_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wei_Single_Image_Reflection_Removal_Exploiting_Misaligned_Training_Data_and_Network_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kaixuan Wei; Jiaolong Yang; Ying Fu; David Wipf; Hua Huang", + "aff": "Microsoft Research; Beijing Institute of Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wei_Single_Image_Reflection_Removal_Exploiting_Misaligned_Training_Data_and_Network_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Single-Frame Regularization for Temporally Stable CNNs", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Eilertsen_Single-Frame_Regularization_for_Temporally_Stable_CNNs_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Gabriel Eilertsen; Rafal K. Mantiuk; Jonas Unger", + "aff": "Dept. of Computer Science and Technology, University of Cambridge, UK; Dept. of Science and Technology, Link\u00f6ping University, Sweden", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Eilertsen_Single-Frame_Regularization_for_Temporally_Stable_CNNs_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Single-Image Piece-Wise Planar 3D Reconstruction via Associative Embedding", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/svip-lab/PlanarReconstruction", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yu_Single-Image_Piece-Wise_Planar_3D_Reconstruction_via_Associative_Embedding_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zehao Yu; Jia Zheng; Dongze Lian; Zihan Zhou; Shenghua Gao", + "aff": "The Pennsylvania State University; ShanghaiTech University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yu_Single-Image_Piece-Wise_Planar_3D_Reconstruction_via_Associative_Embedding_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Skeleton-Based Action Recognition With Directed Graph Neural Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Shi_Skeleton-Based_Action_Recognition_With_Directed_Graph_Neural_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Lei Shi; Yifan Zhang; Jian Cheng; Hanqing Lu", + "aff": "National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences; CAS Center for Excellence in Brain Science and Intelligence Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Shi_Skeleton-Based_Action_Recognition_With_Directed_Graph_Neural_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "SketchGAN: Joint Sketch Completion and Recognition With Generative Adversarial Network", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_SketchGAN_Joint_Sketch_Completion_and_Recognition_With_Generative_Adversarial_Network_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Fang Liu; Xiaoming Deng; Yu-Kun Lai; Yong-Jin Liu; Cuixia Ma; Hongan Wang", + "aff": "", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_SketchGAN_Joint_Sketch_Completion_and_Recognition_With_Generative_Adversarial_Network_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Skin-Based Identification From Multispectral Image Data Using CNNs", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Uemori_Skin-Based_Identification_From_Multispectral_Image_Data_Using_CNNs_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Takeshi Uemori; Atsushi Ito; Yusuke Moriuchi; Alexander Gatto; Jun Murayama", + "aff": "Sony Corporation, Tokyo, Japan; Sony Europe B.V., Stuttgart, Germany", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Uemori_Skin-Based_Identification_From_Multispectral_Image_Data_Using_CNNs_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lee_Sliced_Wasserstein_Discrepancy_for_Unsupervised_Domain_Adaptation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chen-Yu Lee; Tanmay Batra; Mohammad Haris Baig; Daniel Ulbricht", + "aff": "Apple Inc", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lee_Sliced_Wasserstein_Discrepancy_for_Unsupervised_Domain_Adaptation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Sliced Wasserstein Generative Models", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/musikisomorphie/swd.git", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wu_Sliced_Wasserstein_Generative_Models_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jiqing Wu; Zhiwu Huang; Dinesh Acharya; Wen Li; Janine Thoma; Danda Pani Paudel; Luc Van Gool", + "aff": "Computer Vision Lab, ETH Zurich, Switzerland; VISICS, KU Leuven, Belgium; Computer Vision Lab, ETH Zurich, Switzerland", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wu_Sliced_Wasserstein_Generative_Models_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Slim DensePose: Thrifty Learning From Sparse Annotations and Motion Cues", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Neverova_Slim_DensePose_Thrifty_Learning_From_Sparse_Annotations_and_Motion_Cues_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Natalia Neverova; James Thewlis; R\u00c4\u00b1za Alp G\u00c3\u00bcler; Iasonas Kokkinos; Andrea Vedaldi", + "aff": "University of Oxford; Facebook AI Research; Ariel AI", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Neverova_Slim_DensePose_Thrifty_Learning_From_Sparse_Annotations_and_Motion_Cues_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Snapshot Distillation: Teacher-Student Optimization in One Generation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yang_Snapshot_Distillation_Teacher-Student_Optimization_in_One_Generation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chenglin Yang; Lingxi Xie; Chi Su; Alan L. Yuille", + "aff": "Johns Hopkins University, Noah\u2019s Ark Lab, Huawei Inc.; Johns Hopkins University; Kingsoft Cloud", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yang_Snapshot_Distillation_Teacher-Student_Optimization_in_One_Generation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "SoDeep: A Sorting Deep Net to Learn Ranking Loss Surrogates", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Engilberge_SoDeep_A_Sorting_Deep_Net_to_Learn_Ranking_Loss_Surrogates_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Martin Engilberge; Louis Chevallier; Patrick P\u00c3\u00a9rez; Matthieu Cord", + "aff": "Sorbonne Universit\u00e9, Paris, France; Valeo.ai, Paris, France; Technicolor, Cesson S\u00e9vign\u00e9, France", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Engilberge_SoDeep_A_Sorting_Deep_Net_to_Learn_Ranking_Loss_Surrogates_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Sadeghian_SoPhie_An_Attentive_GAN_for_Predicting_Paths_Compliant_to_Social_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Amir Sadeghian; Vineet Kosaraju; Ali Sadeghian; Noriaki Hirose; Hamid Rezatofighi; Silvio Savarese", + "aff": "Stanford University, University of Adelaide; Stanford University; University of Florida; Stanford University, Aibee Inc", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Sadeghian_SoPhie_An_Attentive_GAN_for_Predicting_Paths_Compliant_to_Social_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Social Relation Recognition From Videos via Multi-Scale Spatial-Temporal Reasoning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://lxc86739795.github.io", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Social_Relation_Recognition_From_Videos_via_Multi-Scale_Spatial-Temporal_Reasoning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xinchen Liu; Wu Liu; Meng Zhang; Jingwen Chen; Lianli Gao; Chenggang Yan; Tao Mei", + "aff": "University of Electronic Science and Technology of China, Chengdu, China; Hangzhou Dianzi University, Hangzhou, China; JD AI Research, Beijing, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Social_Relation_Recognition_From_Videos_via_Multi-Scale_Spatial-Temporal_Reasoning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Social-IQ: A Question Answering Benchmark for Artificial Social Intelligence", + "status": "Oral", + "site": "", + "track": "main", + "project": "http://multicomp.cs.cmu.edu/social-iq", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zadeh_Social-IQ_A_Question_Answering_Benchmark_for_Artificial_Social_Intelligence_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Amir Zadeh; Michael Chan; Paul Pu Liang; Edmund Tong; Louis-Philippe Morency", + "aff": "Language Technologies Institute, School of Computer Science, Carnegie Mellon University; Machine Learning Department, School of Computer Science, Carnegie Mellon University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zadeh_Social-IQ_A_Question_Answering_Benchmark_for_Artificial_Social_Intelligence_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Soft Labels for Ordinal Regression", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Diaz_Soft_Labels_for_Ordinal_Regression_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ra\u00c3\u00bal D\u00c3\u00adaz; Amit Marathe", + "aff": "HP Inc.", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Diaz_Soft_Labels_for_Ordinal_Regression_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "SparseFool: A Few Pixels Make a Big Difference", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/LTS4/SparseFool", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Modas_SparseFool_A_Few_Pixels_Make_a_Big_Difference_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Apostolos Modas; Seyed-Mohsen Moosavi-Dezfooli; Pascal Frossard", + "aff": "\u00b4Ecole Polytechnique F \u00b4ed\u00b4erale de Lausanne", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Modas_SparseFool_A_Few_Pixels_Make_a_Big_Difference_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Spatial Attentive Single-Image Deraining With a High Quality Real Rain Dataset", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Spatial_Attentive_Single-Image_Deraining_With_a_High_Quality_Real_Rain_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Tianyu Wang; Xin Yang; Ke Xu; Shaozhe Chen; Qiang Zhang; Rynson W.H. Lau", + "aff": "Dalian University of Technology; City University of Hong Kong", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Spatial_Attentive_Single-Image_Deraining_With_a_High_Quality_Real_Rain_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Spatial Fusion GAN for Image Synthesis", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhan_Spatial_Fusion_GAN_for_Image_Synthesis_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Fangneng Zhan; Hongyuan Zhu; Shijian Lu", + "aff": "Nanyang Technological University; Institute for Infocomm, A*STAR, Singapore", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhan_Spatial_Fusion_GAN_for_Image_Synthesis_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Spatial-Aware Graph Relation Network for Large-Scale Object Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xu_Spatial-Aware_Graph_Relation_Network_for_Large-Scale_Object_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hang Xu; Chenhan Jiang; Xiaodan Liang; Zhenguo Li", + "aff": "Sun Yat-sen University; Huawei Noah\u2019s Ark Lab", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xu_Spatial-Aware_Graph_Relation_Network_for_Large-Scale_Object_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Spatially Variant Linear Representation Models for Joint Filtering", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Pan_Spatially_Variant_Linear_Representation_Models_for_Joint_Filtering_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jinshan Pan; Jiangxin Dong; Jimmy S. Ren; Liang Lin; Jinhui Tang; Ming-Hsuan Yang", + "aff": "Nanjing University of Science and Technology; Dalian University of Technology; UC Merced and Google Cloud; Sun Yat-Sen University; SenseTime Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Pan_Spatially_Variant_Linear_Representation_Models_for_Joint_Filtering_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Aafaq_Spatio-Temporal_Dynamics_and_Semantic_Attribute_Enriched_Visual_Encoding_for_Video_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Nayyer Aafaq; Naveed Akhtar; Wei Liu; Syed Zulqarnain Gilani; Ajmal Mian", + "aff": "Computer Science and Software Engineering, The University of Western Australia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Aafaq_Spatio-Temporal_Dynamics_and_Semantic_Attribute_Enriched_Visual_Encoding_for_Video_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Spatio-Temporal Video Re-Localization by Warp LSTM", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Feng_Spatio-Temporal_Video_Re-Localization_by_Warp_LSTM_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yang Feng; Lin Ma; Wei Liu; Jiebo Luo", + "aff": "Tencent AI Lab; University of Rochester", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Feng_Spatio-Temporal_Video_Re-Localization_by_Warp_LSTM_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Spatiotemporal CNN for Video Object Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/longyin880815/STCNN", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xu_Spatiotemporal_CNN_for_Video_Object_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kai Xu; Longyin Wen; Guorong Li; Liefeng Bo; Qingming Huang", + "aff": "JD Digits, Mountain View, CA, USA.; School of Computer Science and Technology, UCAS, Beijing, China.", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xu_Spatiotemporal_CNN_for_Video_Object_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Spectral Metric for Dataset Complexity Assessment", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Branchaud-Charron_Spectral_Metric_for_Dataset_Complexity_Assessment_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Fr\u00c3\u00a9d\u00c3\u00a9ric Branchaud-Charron; Andrew Achkar; Pierre-Marc Jodoin", + "aff": "Miovision Inc.; Universit \u00b4e de Sherbrooke", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Branchaud-Charron_Spectral_Metric_for_Dataset_Complexity_Assessment_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Spectral Reconstruction From Dispersive Blur: A Novel Light Efficient Spectral Imager", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhao_Spectral_Reconstruction_From_Dispersive_Blur_A_Novel_Light_Efficient_Spectral_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yuanyuan Zhao; Xuemei Hu; Hui Guo; Zhan Ma; Tao Yue; Xun Cao", + "aff": "Nanjing University, Nanjing, China; NJU institute of sensing and imaging engineering, Nanjing, China; Nanjing University, Nanjing, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhao_Spectral_Reconstruction_From_Dispersive_Blur_A_Novel_Light_Efficient_Spectral_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Speech2Face: Learning the Face Behind a Voice", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://speech2face.github.io", + "github": "https://github.com/speech2face", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Oh_Speech2Face_Learning_the_Face_Behind_a_Voice_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Tae-Hyun Oh; Tali Dekel; Changil Kim; Inbar Mosseri; William T. Freeman; Michael Rubinstein; Wojciech Matusik", + "aff": "MIT CSAIL", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Oh_Speech2Face_Learning_the_Face_Behind_a_Voice_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Speed Invariant Time Surface for Learning to Detect Corner Points With Event-Based Cameras", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Manderscheid_Speed_Invariant_Time_Surface_for_Learning_to_Detect_Corner_Points_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jacques Manderscheid; Amos Sironi; Nicolas Bourdis; Davide Migliore; Vincent Lepetit", + "aff": "Prophesee, Paris, France; University of Bordeaux, Bordeaux, France", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Manderscheid_Speed_Invariant_Time_Surface_for_Learning_to_Detect_Corner_Points_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Sphere Generative Adversarial Network Based on Geometric Moment Matching", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/pswkiki/SphereGAN", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Park_Sphere_Generative_Adversarial_Network_Based_on_Geometric_Moment_Matching_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Sung Woo Park; Junseok Kwon", + "aff": "School of Computer Science and Engineering, Chung-Ang University, Seoul, Korea", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Park_Sphere_Generative_Adversarial_Network_Based_on_Geometric_Moment_Matching_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360\u00c2\u00b0 Images", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lee_SpherePHD_Applying_CNNs_on_a_Spherical_PolyHeDron_Representation_of_360deg_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yeonkun Lee; Jaeseok Jeong; Jongseob Yun; Wonjune Cho; Kuk-Jin Yoon", + "aff": "Visual Intelligence Laboratory, Department of Mechanical Engineering, KAIST, Korea", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lee_SpherePHD_Applying_CNNs_on_a_Spherical_PolyHeDron_Representation_of_360deg_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Rao_Spherical_Fractal_Convolutional_Neural_Networks_for_Point_Cloud_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yongming Rao; Jiwen Lu; Jie Zhou", + "aff": "Department of Automation, Tsinghua University, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Rao_Spherical_Fractal_Convolutional_Neural_Networks_for_Point_Cloud_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on N-Spheres", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/leoshine/Spherical Regression", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liao_Spherical_Regression_Learning_Viewpoints_Surface_Normals_and_3D_Rotations_on_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Shuai Liao; Efstratios Gavves; Cees G. M. Snoek", + "aff": "QUV A Lab, University of Amsterdam", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liao_Spherical_Regression_Learning_Viewpoints_Surface_Normals_and_3D_Rotations_on_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image Classification", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chu_Spot_and_Learn_A_Maximum-Entropy_Patch_Sampler_for_Few-Shot_Image_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wen-Hsuan Chu; Yu-Jhe Li; Jing-Cheng Chang; Yu-Chiang Frank Wang", + "aff": "Carnegie Mellon University, Pittsburgh, PA, USA; National Taiwan University, Taipei, Taiwan", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chu_Spot_and_Learn_A_Maximum-Entropy_Patch_Sampler_for_Few-Shot_Image_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "SpotTune: Transfer Learning Through Adaptive Fine-Tuning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Guo_SpotTune_Transfer_Learning_Through_Adaptive_Fine-Tuning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yunhui Guo; Honghui Shi; Abhishek Kumar; Kristen Grauman; Tajana Rosing; Rogerio Feris", + "aff": "University of California, San Diego; IBM Research & Google Brain; The University of Texas at Austin; IBM Research & MIT-IBM Watson AI Lab", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Guo_SpotTune_Transfer_Learning_Through_Adaptive_Fine-Tuning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Steady-State Non-Line-Of-Sight Imaging", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Steady-State_Non-Line-Of-Sight_Imaging_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wenzheng Chen; Simon Daneau; Fahim Mannan; Felix Heide", + "aff": "Algolux; Princeton University; Universit \u00b4e de Montr \u00b4eal; Algolux, University of Toronto", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Steady-State_Non-Line-Of-Sight_Imaging_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Stereo R-CNN Based 3D Object Detection for Autonomous Driving", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Stereo_R-CNN_Based_3D_Object_Detection_for_Autonomous_Driving_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Peiliang Li; Xiaozhi Chen; Shaojie Shen", + "aff": "DJI; The Hong Kong University of Science and Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Stereo_R-CNN_Based_3D_Object_Detection_for_Autonomous_Driving_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "StereoDRNet: Dilated Residual StereoNet", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chabra_StereoDRNet_Dilated_Residual_StereoNet_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Rohan Chabra; Julian Straub; Christopher Sweeney; Richard Newcombe; Henry Fuchs", + "aff": "University of North Carolina at Chapel Hill; Facebook Reality Labs", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chabra_StereoDRNet_Dilated_Residual_StereoNet_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Stochastic Class-Based Hard Example Mining for Deep Metric Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Suh_Stochastic_Class-Based_Hard_Example_Mining_for_Deep_Metric_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yumin Suh; Bohyung Han; Wonsik Kim; Kyoung Mu Lee", + "aff": "ECE & ASRI, Seoul National University, Korea; Samsung Research, Samsung Electronics", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Suh_Stochastic_Class-Based_Hard_Example_Mining_for_Deep_Metric_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "StoryGAN: A Sequential Conditional GAN for Story Visualization", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_StoryGAN_A_Sequential_Conditional_GAN_for_Story_Visualization_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yitong Li; Zhe Gan; Yelong Shen; Jingjing Liu; Yu Cheng; Yuexin Wu; Lawrence Carin; David Carlson; Jianfeng Gao", + "aff": "Tencent AI Research; Microsoft Dynamics 365 AI Research; Microsoft Research; Carnegie Mellon University; Duke University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_StoryGAN_A_Sequential_Conditional_GAN_for_Story_Visualization_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Strand-Accurate Multi-View Hair Capture", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Nam_Strand-Accurate_Multi-View_Hair_Capture_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Giljoo Nam; Chenglei Wu; Min H. Kim; Yaser Sheikh", + "aff": "Facebook Reality Labs, Pittsburgh; KAIST", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Nam_Strand-Accurate_Multi-View_Hair_Capture_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Streamlined Dense Video Captioning", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Mun_Streamlined_Dense_Video_Captioning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jonghwan Mun; Linjie Yang; Zhou Ren; Ning Xu; Bohyung Han", + "aff": "POSTECH; ByteDance AI Lab; Seoul National University; Wormpex AI Research; Amazon Go", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Mun_Streamlined_Dense_Video_Captioning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Alcorn_Strike_With_a_Pose_Neural_Networks_Are_Easily_Fooled_by_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Michael A. Alcorn; Qi Li; Zhitao Gong; Chengfei Wang; Long Mai; Wei-Shinn Ku; Anh Nguyen", + "aff": "Adobe Inc.; Auburn University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Alcorn_Strike_With_a_Pose_Neural_Networks_Are_Easily_Fooled_by_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Striking the Right Balance With Uncertainty", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Khan_Striking_the_Right_Balance_With_Uncertainty_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Salman Khan; Munawar Hayat; Syed Waqas Zamir; Jianbing Shen; Ling Shao", + "aff": "Inception Institute of Arti\ufb01cial Intelligence, UAE", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Khan_Striking_the_Right_Balance_With_Uncertainty_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Strong-Weak Distribution Alignment for Adaptive Object Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/VisionLearningGroup/DA_Detection", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Saito_Strong-Weak_Distribution_Alignment_for_Adaptive_Object_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kuniaki Saito; Yoshitaka Ushiku; Tatsuya Harada; Kate Saenko", + "aff": "The University of Tokyo; Boston University; The University of Tokyo, RIKEN", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Saito_Strong-Weak_Distribution_Alignment_for_Adaptive_Object_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Structural Relational Reasoning of Point Clouds", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Duan_Structural_Relational_Reasoning_of_Point_Clouds_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yueqi Duan; Yu Zheng; Jiwen Lu; Jie Zhou; Qi Tian", + "aff": "Huawei Noah\u2019s Ark Lab, China; Department of Automation, Tsinghua University, China; State Key Lab of Intelligent Technologies and Systems, China; Beijing National Research Center for Information Science and Technology, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Duan_Structural_Relational_Reasoning_of_Point_Clouds_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Structure-Preserving Stereoscopic View Synthesis With Multi-Scale Adversarial Correlation Matching", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Structure-Preserving_Stereoscopic_View_Synthesis_With_Multi-Scale_Adversarial_Correlation_Matching_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yu Zhang; Dongqing Zou; Jimmy S. Ren; Zhe Jiang; Xiaohao Chen", + "aff": "SenseTime Research, Tsinghua University; SenseTime Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Structure-Preserving_Stereoscopic_View_Synthesis_With_Multi-Scale_Adversarial_Correlation_Matching_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhuang_Structured_Binary_Neural_Networks_for_Accurate_Image_Classification_and_Semantic_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Bohan Zhuang; Chunhua Shen; Mingkui Tan; Lingqiao Liu; Ian Reid", + "aff": "South China University of Technology; Australian Centre for Robotic Vision, The University of Adelaide", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhuang_Structured_Binary_Neural_Networks_for_Accurate_Image_Classification_and_Semantic_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Structured Knowledge Distillation for Semantic Segmentation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Structured_Knowledge_Distillation_for_Semantic_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yifan Liu; Ke Chen; Chris Liu; Zengchang Qin; Zhenbo Luo; Jingdong Wang", + "aff": "Microsoft Research Asia; The University of Adelaide; Beihang University; Samsung Research China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Structured_Knowledge_Distillation_for_Semantic_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Structured Pruning of Neural Networks With Budget-Aware Regularization", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lemaire_Structured_Pruning_of_Neural_Networks_With_Budget-Aware_Regularization_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Carl Lemaire; Andrew Achkar; Pierre-Marc Jodoin", + "aff": "Universit \u00b4e de Sherbrooke, Sherbrooke, Canada; Miovision Technologies Inc., Kitchener, Canada", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lemaire_Structured_Pruning_of_Neural_Networks_With_Budget-Aware_Regularization_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ye_Student_Becoming_the_Master_Knowledge_Amalgamation_for_Joint_Scene_Parsing_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jingwen Ye; Yixin Ji; Xinchao Wang; Kairi Ou; Dapeng Tao; Mingli Song", + "aff": "School of Information Science and Engineering, Yunnan University, Kunming, China; College of Computer Science and Technology, Zhejiang University, Hangzhou, China; Alibaba Group, Hangzhou, China; Department of Computer Science, Stevens Institute of Technology, New Jersey, United States", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ye_Student_Becoming_the_Master_Knowledge_Amalgamation_for_Joint_Scene_Parsing_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Style Transfer by Relaxed Optimal Transport and Self-Similarity", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kolkin_Style_Transfer_by_Relaxed_Optimal_Transport_and_Self-Similarity_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Nicholas Kolkin; Jason Salavon; Gregory Shakhnarovich", + "aff": "Toyota Technological Institute at Chicago; University of Chicago", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kolkin_Style_Transfer_by_Relaxed_Optimal_Transport_and_Self-Similarity_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Superquadrics Revisited: Learning 3D Shape Parsing Beyond Cuboids", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Paschalidou_Superquadrics_Revisited_Learning_3D_Shape_Parsing_Beyond_Cuboids_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Despoina Paschalidou; Ali Osman Ulusoy; Andreas Geiger", + "aff": "Autonomous Vision Group, MPI for Intelligent Systems T\u00fcbingen; Microsoft; University of T\u00fcbingen, Max Planck ETH Center for Learning Systems", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Paschalidou_Superquadrics_Revisited_Learning_3D_Shape_Parsing_Beyond_Cuboids_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Supervised Fitting of Geometric Primitives to 3D Point Clouds", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Supervised_Fitting_of_Geometric_Primitives_to_3D_Point_Clouds_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Lingxiao Li; Minhyuk Sung; Anastasia Dubrovina; Li Yi; Leonidas J. Guibas", + "aff": "Stanford University, Facebook AI Research; Stanford University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Supervised_Fitting_of_Geometric_Primitives_to_3D_Point_Clouds_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Surface Reconstruction From Normals: A Robust DGP-Based Discontinuity Preservation Approach", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xie_Surface_Reconstruction_From_Normals_A_Robust_DGP-Based_Discontinuity_Preservation_Approach_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wuyuan Xie; Miaohui Wang; Mingqiang Wei; Jianmin Jiang; Jing Qin", + "aff": "School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, P. R. China; Guangdong Key Laboratory of Intelligent Information Processing, College of Information Engineering, SZU, P. R. China; College of Computer and Software Engineering, Shenzhen University (SZU), P. R. China; School of Nursing, Hong Kong Polytechnic University, Hong Kong, P. R. China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xie_Surface_Reconstruction_From_Normals_A_Robust_DGP-Based_Discontinuity_Preservation_Approach_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Synthesizing 3D Shapes From Silhouette Image Collections Using Multi-Projection Generative Adversarial Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Synthesizing_3D_Shapes_From_Silhouette_Image_Collections_Using_Multi-Projection_Generative_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiao Li; Yue Dong; Pieter Peers; Xin Tong", + "aff": "Microsoft Research Asia; College of William & Mary; University of Science and Technology of China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Synthesizing_3D_Shapes_From_Silhouette_Image_Collections_Using_Multi-Projection_Generative_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Synthesizing Environment-Aware Activities via Activity Sketches", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liao_Synthesizing_Environment-Aware_Activities_via_Activity_Sketches_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yuan-Hong Liao; Xavier Puig; Marko Boben; Antonio Torralba; Sanja Fidler", + "aff": "MIT; University of Ljubljana, Abelium d.o.o; University of Toronto, Vector Institute", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liao_Synthesizing_Environment-Aware_Activities_via_Activity_Sketches_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "T-Net: Parametrizing Fully Convolutional Nets With a Single High-Order Tensor", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kossaifi_T-Net_Parametrizing_Fully_Convolutional_Nets_With_a_Single_High-Order_Tensor_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jean Kossaifi; Adrian Bulat; Georgios Tzimiropoulos; Maja Pantic", + "aff": "Samsung AI Center, Cambridge, United Kingdom", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kossaifi_T-Net_Parametrizing_Fully_Convolutional_Nets_With_a_Single_High-Order_Tensor_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "TACNet: Transition-Aware Context Network for Spatio-Temporal Action Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Song_TACNet_Transition-Aware_Context_Network_for_Spatio-Temporal_Action_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Lin Song; Shiwei Zhang; Gang Yu; Hongbin Sun", + "aff": "Arti\ufb01cial Intelligence and Automation, Huazhong University of Science and Technology; Megvii Inc. (Face++); Institute of Arti\ufb01cial Intelligence and Robotics, Xi\u2019an Jiaotong Univeristy", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Song_TACNet_Transition-Aware_Context_Network_for_Spatio-Temporal_Action_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_TAFE-Net_Task-Aware_Feature_Embeddings_for_Low_Shot_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xin Wang; Fisher Yu; Ruth Wang; Trevor Darrell; Joseph E. Gonzalez", + "aff": "UC Berkeley", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_TAFE-Net_Task-Aware_Feature_Embeddings_for_Low_Shot_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://touchdown.ai", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_TOUCHDOWN_Natural_Language_Navigation_and_Spatial_Reasoning_in_Visual_Street_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Howard Chen; Alane Suhr; Dipendra Misra; Noah Snavely; Yoav Artzi", + "aff": "Department of Computer Science & Cornell Tech, Cornell University, New York, NY; ASAPP Inc., New York, NY", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_TOUCHDOWN_Natural_Language_Navigation_and_Spatial_Reasoning_in_Visual_Street_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/Kelym/FAST", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ke_Tactical_Rewind_Self-Correction_via_Backtracking_in_Vision-And-Language_Navigation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Liyiming Ke; Xiujun Li; Yonatan Bisk; Ari Holtzman; Zhe Gan; Jingjing Liu; Jianfeng Gao; Yejin Choi; Siddhartha Srinivasa", + "aff": "Microsoft Research AI; Paul G. Allen School of Computer Science & Engineering, University of Washington", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ke_Tactical_Rewind_Self-Correction_via_Backtracking_in_Vision-And-Language_Navigation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/RoyalVane/CLAN", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Luo_Taking_a_Closer_Look_at_Domain_Shift_Category-Level_Adversaries_for_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yawei Luo; Liang Zheng; Tao Guan; Junqing Yu; Yi Yang", + "aff": "School of Computer Science & Technology, Huazhong University of Science & Technology; Research School of Computer Science, Australian National University; CAI, University of Technology Sydney; Center of Network and Computation, Huazhong University of Science & Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Luo_Taking_a_Closer_Look_at_Domain_Shift_Category-Level_Adversaries_for_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Taking a Deeper Look at the Inverse Compositional Algorithm", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lv_Taking_a_Deeper_Look_at_the_Inverse_Compositional_Algorithm_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhaoyang Lv; Frank Dellaert; James M. Rehg; Andreas Geiger", + "aff": "Georgia Institute of Technology, Atlanta, United States; Autonomous Vision Group, MPI-IS and University of T\u00fcbingen, Germany", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lv_Taking_a_Deeper_Look_at_the_Inverse_Compositional_Algorithm_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Tangent-Normal Adversarial Regularization for Semi-Supervised Learning", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yu_Tangent-Normal_Adversarial_Regularization_for_Semi-Supervised_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Bing Yu; Jingfeng Wu; Jinwen Ma; Zhanxing Zhu", + "aff": "Center for Data Science, Peking University and Beijing Institute of Big Data Research; School of Mathematical Sciences, Peking University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yu_Tangent-Normal_Adversarial_Regularization_for_Semi-Supervised_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Target-Aware Deep Tracking", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Target-Aware_Deep_Tracking_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xin Li; Chao Ma; Baoyuan Wu; Zhenyu He; Ming-Hsuan Yang", + "aff": "Tencent AI Lab; Harbin Institute of Technology, Shenzhen; MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University; University of California, Merced and Google Cloud AI", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Target-Aware_Deep_Tracking_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Task Agnostic Meta-Learning for Few-Shot Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Jamal_Task_Agnostic_Meta-Learning_for_Few-Shot_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Muhammad Abdullah Jamal; Guo-Jun Qi", + "aff": "University of Central Florida, Orlando, FL; Laboratory for MAchine Perception and LEarning (MAPLE), Huawei Cloud", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Jamal_Task_Agnostic_Meta-Learning_for_Few-Shot_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Task-Free Continual Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Aljundi_Task-Free_Continual_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Rahaf Aljundi; Klaas Kelchtermans; Tinne Tuytelaars", + "aff": "KU Leuven, ESAT-PSI, Belgium", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Aljundi_Task-Free_Continual_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Tell Me Where I Am: Object-Level Scene Context Prediction", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Qiao_Tell_Me_Where_I_Am_Object-Level_Scene_Context_Prediction_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiaotian Qiao; Quanlong Zheng; Ying Cao; Rynson W.H. Lau", + "aff": "City University of Hong Kong", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Qiao_Tell_Me_Where_I_Am_Object-Level_Scene_Context_Prediction_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Temporal Cycle-Consistency Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://sites.google.com/view/temporal-cycle-consistency", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Dwibedi_Temporal_Cycle-Consistency_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Debidatta Dwibedi; Yusuf Aytar; Jonathan Tompson; Pierre Sermanet; Andrew Zisserman", + "aff": "DeepMind; Google Brain", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Dwibedi_Temporal_Cycle-Consistency_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lohit_Temporal_Transformer_Networks_Joint_Learning_of_Invariant_and_Discriminative_Time_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Suhas Lohit; Qiao Wang; Pavan Turaga", + "aff": "SRI International; Geometric Media Lab, Arizona State University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lohit_Temporal_Transformer_Networks_Joint_Learning_of_Invariant_and_Discriminative_Time_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Text Guided Person Image Synthesis", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhou_Text_Guided_Person_Image_Synthesis_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xingran Zhou; Siyu Huang; Bin Li; Yingming Li; Jiachen Li; Zhongfei Zhang", + "aff": "Nanjing University; Zhejiang University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhou_Text_Guided_Person_Image_Synthesis_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Text2Scene: Generating Compositional Scenes From Textual Descriptions", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tan_Text2Scene_Generating_Compositional_Scenes_From_Textual_Descriptions_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Fuwen Tan; Song Feng; Vicente Ordonez", + "aff": "University of Virginia; IBM Thomas J. Watson Research Center", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tan_Text2Scene_Generating_Compositional_Scenes_From_Textual_Descriptions_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/ningyu1993/texture-mixer", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yu_Texture_Mixer_A_Network_for_Controllable_Synthesis_and_Interpolation_of_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ning Yu; Connelly Barnes; Eli Shechtman; Sohrab Amirghodsi; Michal Luk\u00c3\u00a1\u00c4\u008d", + "aff": "Adobe Research; Adobe Research, University of Virginia; University of Maryland, Max Planck Institute for Informatics", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yu_Texture_Mixer_A_Network_for_Controllable_Synthesis_and_Interpolation_of_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "TextureNet: Consistent Local Parametrizations for Learning From High-Resolution Signals on Meshes", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Huang_TextureNet_Consistent_Local_Parametrizations_for_Learning_From_High-Resolution_Signals_on_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jingwei Huang; Haotian Zhang; Li Yi; Thomas Funkhouser; Matthias Nie\u00c3\u009fner; Leonidas J. Guibas", + "aff": "Technical University of Munich; Princeton University; Stanford University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Huang_TextureNet_Consistent_Local_Parametrizations_for_Learning_From_High-Resolution_Signals_on_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Textured Neural Avatars", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Shysheya_Textured_Neural_Avatars_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Aliaksandra Shysheya; Egor Zakharov; Kara-Ali Aliev; Renat Bashirov; Egor Burkov; Karim Iskakov; Aleksei Ivakhnenko; Yury Malkov; Igor Pasechnik; Dmitry Ulyanov; Alexander Vakhitov; Victor Lempitsky", + "aff": "Samsung AI Center, Moscow; Samsung AI Center, Moscow; Skolkovo Institute of Science and Technology, Moscow", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Shysheya_Textured_Neural_Avatars_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Campbell_The_Alignment_of_the_Spheres_Globally-Optimal_Spherical_Mixture_Alignment_for_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Dylan Campbell; Lars Petersson; Laurent Kneip; Hongdong Li; Stephen Gould", + "aff": "Australian National University; ShanghaiTech; Data61/CSIRO", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Campbell_The_Alignment_of_the_Spheres_Globally-Optimal_Spherical_Mixture_Alignment_for_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "The Domain Transform Solver", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Bapat_The_Domain_Transform_Solver_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Akash Bapat; Jan-Michael Frahm", + "aff": "Department of Computer Science, The University of North Carolina at Chapel Hill", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Bapat_The_Domain_Transform_Solver_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "The Perfect Match: 3D Point Cloud Matching With Smoothed Densities", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/zgojcic/3DSmoothNet", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Gojcic_The_Perfect_Match_3D_Point_Cloud_Matching_With_Smoothed_Densities_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zan Gojcic; Caifa Zhou; Jan D. Wegner; Andreas Wieser", + "aff": "ETH Zurich", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Gojcic_The_Perfect_Match_3D_Point_Cloud_Matching_With_Smoothed_Densities_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "The Pros and Cons: Rank-Aware Temporal Attention for Skill Determination in Long Videos", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Doughty_The_Pros_and_Cons_Rank-Aware_Temporal_Attention_for_Skill_Determination_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hazel Doughty; Walterio Mayol-Cuevas; Dima Damen", + "aff": "University of Bristol, Bristol, UK", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Doughty_The_Pros_and_Cons_Rank-Aware_Temporal_Attention_for_Skill_Determination_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/chihyaoma/regretful-agent", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ma_The_Regretful_Agent_Heuristic-Aided_Navigation_Through_Progress_Estimation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chih-Yao Ma; Zuxuan Wu; Ghassan AlRegib; Caiming Xiong; Zsolt Kira", + "aff": "University of Maryland, College Park; Georgia Institute of Technology; Salesforce Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ma_The_Regretful_Agent_Heuristic-Aided_Navigation_Through_Progress_Estimation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "The Visual Centrifuge: Model-Free Layered Video Representations", + "status": "Oral", + "site": "", + "track": "main", + "project": "https://youtu.be/u8QwiSa6L0Q", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Alayrac_The_Visual_Centrifuge_Model-Free_Layered_Video_Representations_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jean-Baptiste Alayrac; Jo\u00c3\u00a3o Carreira; Andrew Zisserman", + "aff": "DeepMind; VGG, Dept. of Engineering Science, University of Oxford", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Alayrac_The_Visual_Centrifuge_Model-Free_Layered_Video_Representations_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Thinking Outside the Pool: Active Training Image Creation for Relative Attributes", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yu_Thinking_Outside_the_Pool_Active_Training_Image_Creation_for_Relative_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Aron Yu; Kristen Grauman", + "aff": "UT Austin and Facebook AI Research; University of Texas at Austin", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yu_Thinking_Outside_the_Pool_Active_Training_Image_Creation_for_Relative_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Tightness-Aware Evaluation Protocol for Scene Text Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/Yuliang-Liu/TIoU-metric", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Tightness-Aware_Evaluation_Protocol_for_Scene_Text_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yuliang Liu; Lianwen Jin; Zecheng Xie; Canjie Luo; Shuaitao Zhang; Lele Xie", + "aff": "College of Electronic Information Engineering, South China University of Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Tightness-Aware_Evaluation_Protocol_for_Scene_Text_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Time-Conditioned Action Anticipation in One Shot", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ke_Time-Conditioned_Action_Anticipation_in_One_Shot_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Qiuhong Ke; Mario Fritz; Bernt Schiele", + "aff": "Max Planck Institute for Informatics, Saarland Informatics Campus; CISPA Helmholtz Center for Information Security, Saarland Informatics Campus", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ke_Time-Conditioned_Action_Anticipation_in_One_Shot_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Timeception for Complex Action Recognition", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hussein_Timeception_for_Complex_Action_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Noureldien Hussein; Efstratios Gavves; Arnold W.M. Smeulders", + "aff": "QUV A Lab, University of Amsterdam", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hussein_Timeception_for_Complex_Action_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "ToothNet: Automatic Tooth Instance Segmentation and Identification From Cone Beam CT Images", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Cui_ToothNet_Automatic_Tooth_Instance_Segmentation_and_Identification_From_Cone_Beam_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhiming Cui; Changjian Li; Wenping Wang", + "aff": "The University of Hong Kong", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Cui_ToothNet_Automatic_Tooth_Instance_Segmentation_and_Identification_From_Cone_Beam_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "TopNet: Structural Point Cloud Decoder", + "status": "Poster", + "site": "", + "track": "main", + "project": "http://completion3d.stanford.edu", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tchapmi_TopNet_Structural_Point_Cloud_Decoder_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Lyne P. Tchapmi; Vineet Kosaraju; Hamid Rezatofighi; Ian Reid; Silvio Savarese", + "aff": "The University of Adelaide, Australia; Stanford University; Stanford University, The University of Adelaide, Australia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tchapmi_TopNet_Structural_Point_Cloud_Decoder_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Topology Reconstruction of Tree-Like Structure in Images via Structural Similarity Measure and Dominant Set Clustering", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xie_Topology_Reconstruction_of_Tree-Like_Structure_in_Images_via_Structural_Similarity_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jianyang Xie; Yitian Zhao; Yonghuai Liu; Pan Su; Yifan Zhao; Jun Cheng; Yalin Zheng; Jiang Liu", + "aff": "Ningbo Institute of Industrial Technology, Chinese Academy of Sciences; Department of Computer Science, Edge Hill University; School of Aerospace, Transport and Manufacturing, Cranfield University; Department of Eye and Vision Science, University of Liverpool", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xie_Topology_Reconstruction_of_Tree-Like_Structure_in_Images_via_Structural_Similarity_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Toward Convolutional Blind Denoising of Real Photographs", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/GuoShi28/CBDNet", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Guo_Toward_Convolutional_Blind_Denoising_of_Real_Photographs_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Shi Guo; Zifei Yan; Kai Zhang; Wangmeng Zuo; Lei Zhang", + "aff": "Harbin Institute of Technology, Harbin; Peng Cheng Laboratory, Shenzhen; The Hong Kong Polytechnic University, Hong Kong; DAMO Academy, Alibaba Group; Harbin Institute of Technology, Harbin; Harbin Institute of Technology, Harbin; DAMO Academy, Alibaba Group; Harbin Institute of Technology, Harbin; The Hong Kong Polytechnic University, Hong Kong", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Guo_Toward_Convolutional_Blind_Denoising_of_Real_Photographs_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Toward Realistic Image Compositing With Adversarial Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Toward_Realistic_Image_Compositing_With_Adversarial_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Bor-Chun Chen; Andrew Kae", + "aff": "University of Maryland, College Park; Verizon Media Group", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Toward_Realistic_Image_Compositing_With_Adversarial_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Towards Accurate One-Stage Object Detection With AP-Loss", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Towards_Accurate_One-Stage_Object_Detection_With_AP-Loss_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kean Chen; Jianguo Li; Weiyao Lin; John See; Ji Wang; Lingyu Duan; Zhibo Chen; Changwei He; Junni Zou", + "aff": "Multimedia University, Malaysia; Intel Labs, China; Tencent YouTu Lab, China; Shanghai Jiao Tong University, China; Peking University, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Towards_Accurate_One-Stage_Object_Detection_With_AP-Loss_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Towards High-Fidelity Nonlinear 3D Face Morphable Model", + "status": "Poster", + "site": "", + "track": "main", + "project": "http://cvlab.cse.msu.edu/project-nonlinear-3dmm.html", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tran_Towards_High-Fidelity_Nonlinear_3D_Face_Morphable_Model_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Luan Tran; Feng Liu; Xiaoming Liu", + "aff": "Department of Computer Science and Engineering, Michigan State University, East Lansing MI 48824", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tran_Towards_High-Fidelity_Nonlinear_3D_Face_Morphable_Model_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Towards Instance-Level Image-To-Image Translation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Shen_Towards_Instance-Level_Image-To-Image_Translation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhiqiang Shen; Mingyang Huang; Jianping Shi; Xiangyang Xue; Thomas S. Huang", + "aff": "University of Illinois at Urbana-Champaign; Fudan University; University of Illinois at Urbana-Champaign, Fudan University; SenseTime Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Shen_Towards_Instance-Level_Image-To-Image_Translation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Towards Natural and Accurate Future Motion Prediction of Humans and Animals", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Towards_Natural_and_Accurate_Future_Motion_Prediction_of_Humans_and_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhenguang Liu; Shuang Wu; Shuyuan Jin; Qi Liu; Shijian Lu; Roger Zimmermann; Li Cheng", + "aff": "", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Towards_Natural_and_Accurate_Future_Motion_Prediction_of_Humans_and_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Towards Optimal Structured CNN Pruning via Generative Adversarial Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lin_Towards_Optimal_Structured_CNN_Pruning_via_Generative_Adversarial_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Shaohui Lin; Rongrong Ji; Chenqian Yan; Baochang Zhang; Liujuan Cao; Qixiang Ye; Feiyue Huang; David Doermann", + "aff": "Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, China; Peng Cheng Laboratory, China; University at Buffalo, USA; BestImage, Tencent Technology (Shanghai) Co.,Ltd, China; Peng Cheng Laboratory, China; University of Chinese Academy of Sciences, China; Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, China; Beihang University, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lin_Towards_Optimal_Structured_CNN_Pruning_via_Generative_Adversarial_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Towards Real Scene Super-Resolution With Raw Images", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xu_Towards_Real_Scene_Super-Resolution_With_Raw_Images_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiangyu Xu; Yongrui Ma; Wenxiu Sun", + "aff": "SenseTime Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xu_Towards_Real_Scene_Super-Resolution_With_Raw_Images_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Towards Rich Feature Discovery With Class Activation Maps Augmentation for Person Re-Identification", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yang_Towards_Rich_Feature_Discovery_With_Class_Activation_Maps_Augmentation_for_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wenjie Yang; Houjing Huang; Zhang Zhang; Xiaotang Chen; Kaiqi Huang; Shu Zhang", + "aff": "Deepwise AI Lab; CRISE, CASIA & University of Chinese Academy of Sciences; CRIPAC & NLPR, CASIA; CRISE, CASIA & University of Chinese Academy of Sciences & CAS Center for Excellence in Brain Science and Intelligence Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yang_Towards_Rich_Feature_Discovery_With_Class_Activation_Maps_Augmentation_for_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Towards Robust Curve Text Detection With Conditional Spatial Expansion", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Towards_Robust_Curve_Text_Detection_With_Conditional_Spatial_Expansion_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zichuan Liu; Guosheng Lin; Sheng Yang; Fayao Liu; Weisi Lin; Wang Ling Goh", + "aff": "University of Adelaide, Australia; Nanyang Technological University, Singapore", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Towards_Robust_Curve_Text_Detection_With_Conditional_Spatial_Expansion_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Towards_Scene_Understanding_Unsupervised_Monocular_Depth_Estimation_With_Semantic-Aware_Representation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Po-Yi Chen; Alexander H. Liu; Yen-Cheng Liu; Yu-Chiang Frank Wang", + "aff": "Georgia Institute of Technology; National Taiwan University and MOST Joint Research Center for AI Technology and All Vista Healthcare", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Towards_Scene_Understanding_Unsupervised_Monocular_Depth_Estimation_With_Semantic-Aware_Representation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Towards Social Artificial Intelligence: Nonverbal Social Signal Prediction in a Triadic Interaction", + "status": "Oral", + "site": "", + "track": "main", + "project": "http://domedb.perception.cs.cmu.edu/ssp", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Joo_Towards_Social_Artificial_Intelligence_Nonverbal_Social_Signal_Prediction_in_a_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hanbyul Joo; Tomas Simon; Mina Cikara; Yaser Sheikh", + "aff": "Harvard University; Carnegie Mellon University; Carnegie Mellon University, Now at Facebook Reality Labs; Carnegie Mellon University, Now at Facebook AI Research (FAIR)", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Joo_Towards_Social_Artificial_Intelligence_Nonverbal_Social_Signal_Prediction_in_a_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Towards Universal Object Detection by Domain Attention", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "http://www.svcl.ucsd.edu/projects/universal-detection/", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Towards_Universal_Object_Detection_by_Domain_Attention_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xudong Wang; Zhaowei Cai; Dashan Gao; Nuno Vasconcelos", + "aff": "University of California, San Diego; 212 Sigma Technologies", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Towards_Universal_Object_Detection_by_Domain_Attention_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Towards VQA Models That Can Read", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Singh_Towards_VQA_Models_That_Can_Read_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Amanpreet Singh; Vivek Natarajan; Meet Shah; Yu Jiang; Xinlei Chen; Dhruv Batra; Devi Parikh; Marcus Rohrbach", + "aff": "Facebook AI Research; Facebook AI Research, Georgia Institute of Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Singh_Towards_VQA_Models_That_Can_Read_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Towards Visual Feature Translation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hu_Towards_Visual_Feature_Translation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jie Hu; Rongrong Ji; Hong Liu; Shengchuan Zhang; Cheng Deng; Qi Tian", + "aff": "Noah\u2019s Ark Lab, Huawei.; Xidian University.; Fujian Key Laboratory of Sensing and Computing for Smart City, Department of Cognitive Science, School of Information Science and Engineering, Xiamen University, Xiamen, China.; Fujian Key Laboratory of Sensing and Computing for Smart City, Department of Cognitive Science, School of Information Science and Engineering, Xiamen University, Xiamen, China. Peng Cheng Laboratory, Shenzhen, China.", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hu_Towards_Visual_Feature_Translation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://go.umd.edu/TraPHic", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chandra_TraPHic_Trajectory_Prediction_in_Dense_and_Heterogeneous_Traffic_Using_Weighted_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Rohan Chandra; Uttaran Bhattacharya; Aniket Bera; Dinesh Manocha", + "aff": "University of North Carolina, Chapel Hill; University of Maryland, College Park", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chandra_TraPHic_Trajectory_Prediction_in_Dense_and_Heterogeneous_Traffic_Using_Weighted_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "TraVeLGAN: Image-To-Image Translation by Transformation Vector Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Amodio_TraVeLGAN_Image-To-Image_Translation_by_Transformation_Vector_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Matthew Amodio; Smita Krishnaswamy", + "aff": "Yale University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Amodio_TraVeLGAN_Image-To-Image_Translation_by_Transformation_Vector_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/zhen-he/tracking-by-animation", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/He_Tracking_by_Animation_Unsupervised_Learning_of_Multi-Object_Attentive_Trackers_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhen He; Jian Li; Daxue Liu; Hangen He; David Barber", + "aff": "National University of Defense Technology; Academy of Military Medical Sciences; University College London, The Alan Turing Institute", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/He_Tracking_by_Animation_Unsupervised_Learning_of_Multi-Object_Attentive_Trackers_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhussip_Training_Deep_Learning_Based_Image_Denoisers_From_Undersampled_Measurements_Without_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Magauiya Zhussip; Shakarim Soltanayev; Se Young Chun", + "aff": "Ulsan National Institute of Science and Technology (UNIST), Republic of Korea", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhussip_Training_Deep_Learning_Based_Image_Denoisers_From_Undersampled_Measurements_Without_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "TransGaGa: Geometry-Aware Unsupervised Image-To-Image Translation", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://wywu.github.io/projects/TGaGa/TGaGa.html", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wu_TransGaGa_Geometry-Aware_Unsupervised_Image-To-Image_Translation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wayne Wu; Kaidi Cao; Cheng Li; Chen Qian; Chen Change Loy", + "aff": "Stanford University; Nanyang Technological University; SenseTime Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wu_TransGaGa_Geometry-Aware_Unsupervised_Image-To-Image_Translation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Transfer Learning via Unsupervised Task Discovery for Visual Question Answering", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Noh_Transfer_Learning_via_Unsupervised_Task_Discovery_for_Visual_Question_Answering_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hyeonwoo Noh; Taehoon Kim; Jonghwan Mun; Bohyung Han", + "aff": "OpenAI, USA; Computer Vision Lab., ECE & ASRI, Seoul National University, Korea; Computer Vision Lab., POSTECH, Korea", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Noh_Transfer_Learning_via_Unsupervised_Task_Discovery_for_Visual_Question_Answering_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Transferable AutoML by Model Sharing Over Grouped Datasets", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xue_Transferable_AutoML_by_Model_Sharing_Over_Grouped_Datasets_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chao Xue; Junchi Yan; Rong Yan; Stephen M. Chu; Yonggang Hu; Yonghua Lin", + "aff": "", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xue_Transferable_AutoML_by_Model_Sharing_Over_Grouped_Datasets_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Transferable Interactiveness Knowledge for Human-Object Interaction Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/DirtyHarryLYL/Transferable-Interactiveness-Network", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Transferable_Interactiveness_Knowledge_for_Human-Object_Interaction_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yong-Lu Li; Siyuan Zhou; Xijie Huang; Liang Xu; Ze Ma; Hao-Shu Fang; Yanfeng Wang; Cewu Lu", + "aff": "Shanghai Jiao Tong University, MoE Key Lab of Arti\ufb01cial Intelligence, AI Institute, SJTU-SenseTime AI lab; Shanghai Jiao Tong University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Transferable_Interactiveness_Knowledge_for_Human-Object_Interaction_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Transferrable Prototypical Networks for Unsupervised Domain Adaptation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Pan_Transferrable_Prototypical_Networks_for_Unsupervised_Domain_Adaptation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yingwei Pan; Ting Yao; Yehao Li; Yu Wang; Chong-Wah Ngo; Tao Mei", + "aff": "Sun Yat-sen University, Guangzhou, China; City University of Hong Kong, Kowloon, Hong Kong; JD AI Research, Beijing, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Pan_Transferrable_Prototypical_Networks_for_Unsupervised_Domain_Adaptation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Translate-to-Recognize Networks for RGB-D Scene Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Du_Translate-to-Recognize_Networks_for_RGB-D_Scene_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Dapeng Du; Limin Wang; Huiling Wang; Kai Zhao; Gangshan Wu", + "aff": "State Key Laboratory for Novel Software Technology, Nanjing University, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Du_Translate-to-Recognize_Networks_for_RGB-D_Scene_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Triangulation Learning Network: From Monocular to Stereo 3D Object Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Qin_Triangulation_Learning_Network_From_Monocular_to_Stereo_3D_Object_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zengyi Qin; Jinglu Wang; Yan Lu", + "aff": "", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Qin_Triangulation_Learning_Network_From_Monocular_to_Stereo_3D_Object_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Triply Supervised Decoder Networks for Joint Detection and Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Cao_Triply_Supervised_Decoder_Networks_for_Joint_Detection_and_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jiale Cao; Yanwei Pang; Xuelong Li", + "aff": "Center for OPTical IMagery Analysis and Learning, Northwestern Polytechnical University; School of Electrical and Information Engineering, Tianjin University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Cao_Triply_Supervised_Decoder_Networks_for_Joint_Detection_and_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Trust Region Based Adversarial Attack on Neural Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "Not provided", + "github": "Not provided", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yao_Trust_Region_Based_Adversarial_Attack_on_Neural_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhewei Yao; Amir Gholami; Peng Xu; Kurt Keutzer; Michael W. Mahoney", + "aff": "Stanford Univeristy; University of California, Berkeley", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yao_Trust_Region_Based_Adversarial_Attack_on_Neural_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Turn a Silicon Camera Into an InGaAs Camera", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lv_Turn_a_Silicon_Camera_Into_an_InGaAs_Camera_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Feifan Lv; Yinqiang Zheng; Bohan Zhang; Feng Lu", + "aff": "State Key Laboratory of VR Technology and Systems, School of CSE, Beihang University, Beijing, China; National Institute of Informatics, Japan; State Key Laboratory of VR Technology and Systems, School of CSE, Beihang University, Beijing, China; Peng Cheng Laboratory, Shenzhen, China; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lv_Turn_a_Silicon_Camera_Into_an_InGaAs_Camera_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Two Body Problem: Collaborative Visual Task Completion", + "status": "Oral", + "site": "", + "track": "main", + "project": "https://prior.allenai.org/projects/two-body-problem", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Jain_Two_Body_Problem_Collaborative_Visual_Task_Completion_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Unnat Jain; Luca Weihs; Eric Kolve; Mohammad Rastegari; Svetlana Lazebnik; Ali Farhadi; Alexander G. Schwing; Aniruddha Kembhavi", + "aff": "PRIOR @ Allen Institute for AI; PRIOR @ Allen Institute for AI, University of Washington, Xnor.ai; UIUC", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Jain_Two_Body_Problem_Collaborative_Visual_Task_Completion_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Shi_Two-Stream_Adaptive_Graph_Convolutional_Networks_for_Skeleton-Based_Action_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Lei Shi; Yifan Zhang; Jian Cheng; Hanqing Lu", + "aff": "National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences; CAS Center for Excellence in Brain Science and Intelligence Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Shi_Two-Stream_Adaptive_Graph_Convolutional_Networks_for_Skeleton-Based_Action_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Typography With Decor: Intelligent Text Style Transfer", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Typography_With_Decor_Intelligent_Text_Style_Transfer_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Wenjing Wang; Jiaying Liu; Shuai Yang; Zongming Guo", + "aff": "Institute of Computer Science and Technology, Peking University, Beijing, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Typography_With_Decor_Intelligent_Text_Style_Transfer_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "UPSNet: A Unified Panoptic Segmentation Network", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/uber-research/UPSNet", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xiong_UPSNet_A_Unified_Panoptic_Segmentation_Network_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yuwen Xiong; Renjie Liao; Hengshuang Zhao; Rui Hu; Min Bai; Ersin Yumer; Raquel Urtasun", + "aff": "Uber ATG; Uber ATG, University of Toronto; The Chinese University of Hong Kong", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xiong_UPSNet_A_Unified_Panoptic_Segmentation_Network_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching Videos", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_UnOS_Unified_Unsupervised_Optical-Flow_and_Stereo-Depth_Estimation_by_Watching_Videos_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yang Wang; Peng Wang; Zhenheng Yang; Chenxu Luo; Yi Yang; Wei Xu", + "aff": "Baidu Research; University of Southern California; Johns Hopkins University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_UnOS_Unified_Unsupervised_Optical-Flow_and_Stereo-Depth_Estimation_by_Watching_Videos_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Uncertainty Guided Multi-Scale Residual Learning-Using a Cycle Spinning CNN for Single Image De-Raining", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yasarla_Uncertainty_Guided_Multi-Scale_Residual_Learning-Using_a_Cycle_Spinning_CNN_for_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Rajeev Yasarla; Vishal M. Patel", + "aff": "Johns Hopkins University, Department of Electrical and Computer Engineering, Baltimore, MD 21218, USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yasarla_Uncertainty_Guided_Multi-Scale_Residual_Learning-Using_a_Cycle_Spinning_CNN_for_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Underexposed Photo Enhancement Using Deep Illumination Estimation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Underexposed_Photo_Enhancement_Using_Deep_Illumination_Estimation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ruixing Wang; Qing Zhang; Chi-Wing Fu; Xiaoyong Shen; Wei-Shi Zheng; Jiaya Jia", + "aff": "The Chinese University of Hong Kong; Sun Yat-sen University, China; YouTu Lab, Tencent; The Chinese University of Hong Kong and YouTu Lab, Tencent", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Underexposed_Photo_Enhancement_Using_Deep_Illumination_Estimation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Understanding and Visualizing Deep Visual Saliency Models", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/He_Understanding_and_Visualizing_Deep_Visual_Saliency_Models_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Sen He; Hamed R. Tavakoli; Ali Borji; Yang Mi; Nicolas Pugeault", + "aff": "MarkableAI; Aalto University; University of Exeter", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/He_Understanding_and_Visualizing_Deep_Visual_Saliency_Models_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Understanding_the_Disharmony_Between_Dropout_and_Batch_Normalization_by_Variance_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiang Li; Shuo Chen; Xiaolin Hu; Jian Yang", + "aff": "PCALab, Nanjing University of Science and Technology; PCALab, Nanjing University of Science and Technology and Momenta; Tsinghua University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Understanding_the_Disharmony_Between_Dropout_and_Batch_Normalization_by_Variance_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Understanding the Limitations of CNN-Based Absolute Camera Pose Regression", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Sattler_Understanding_the_Limitations_of_CNN-Based_Absolute_Camera_Pose_Regression_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Torsten Sattler; Qunjie Zhou; Marc Pollefeys; Laura Leal-Taix\u00c3\u00a9", + "aff": "ETH Zurich; TU Munich; Chalmers University of Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Sattler_Understanding_the_Limitations_of_CNN-Based_Absolute_Camera_Pose_Regression_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Unequal-Training for Deep Face Recognition With Long-Tailed Noisy Data", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhong_Unequal-Training_for_Deep_Face_Recognition_With_Long-Tailed_Noisy_Data_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yaoyao Zhong; Weihong Deng; Mei Wang; Jiani Hu; Jianteng Peng; Xunqiang Tao; Yaohai Huang", + "aff": "Beijing University of Posts and Telecommunications; Canon Information Technology (Beijing) Co., Ltd", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhong_Unequal-Training_for_Deep_Face_Recognition_With_Long-Tailed_Noisy_Data_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Unified Visual-Semantic Embeddings: Bridging Vision and Language With Structured Meaning Representations", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wu_Unified_Visual-Semantic_Embeddings_Bridging_Vision_and_Language_With_Structured_Meaning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hao Wu; Jiayuan Mao; Yufeng Zhang; Yuning Jiang; Lei Li; Weiwei Sun; Wei-Ying Ma", + "aff": "Bytedance AI Lab; School of Computer Science, Systems and Shanghai Key Laboratory of Data Science, Fudan University, Shanghai Insitute of Intelligent Electroics & Systems; School of Economics, Fudan University, Bytedance AI Lab; School of Computer Science, Systems and Shanghai Key Laboratory of Data Science, Fudan University; ITCS, Institute for Interdisciplinary Information Sciences, Tsinghua University, Bytedance AI Lab", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wu_Unified_Visual-Semantic_Embeddings_Bridging_Vision_and_Language_With_Structured_Meaning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "UniformFace: Learning Deep Equidistributed Representation for Face Recognition", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Duan_UniformFace_Learning_Deep_Equidistributed_Representation_for_Face_Recognition_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yueqi Duan; Jiwen Lu; Jie Zhou", + "aff": "Department of Automation, Tsinghua University, China; State Key Lab of Intelligent Technologies and Systems, China; Beijing National Research Center for Information Science and Technology, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Duan_UniformFace_Learning_Deep_Equidistributed_Representation_for_Face_Recognition_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Unifying Heterogeneous Classifiers With Distillation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Vongkulbhisal_Unifying_Heterogeneous_Classifiers_With_Distillation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jayakorn Vongkulbhisal; Phongtharin Vinayavekhin; Marco Visentini-Scarzanella", + "aff": "IBM Research, Tokyo, Japan; Amazon, Tokyo, Japan", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Vongkulbhisal_Unifying_Heterogeneous_Classifiers_With_Distillation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Universal Domain Adaptation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/You_Universal_Domain_Adaptation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kaichao You; Mingsheng Long; Zhangjie Cao; Jianmin Wang; Michael I. Jordan", + "aff": "University of California, Berkeley, USA; KLiss, MOE; BNRist; School of Software, Tsinghua University, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/You_Universal_Domain_Adaptation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Unprocessing Images for Learned Raw Denoising", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Brooks_Unprocessing_Images_for_Learned_Raw_Denoising_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Tim Brooks; Ben Mildenhall; Tianfan Xue; Jiawen Chen; Dillon Sharlet; Jonathan T. Barron", + "aff": "UC Berkeley; Google Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Brooks_Unprocessing_Images_for_Learned_Raw_Denoising_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Unsupervised 3D Pose Estimation With Geometric Self-Supervision", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Unsupervised_3D_Pose_Estimation_With_Geometric_Self-Supervision_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ching-Hang Chen; Ambrish Tyagi; Amit Agrawal; Dylan Drover; Rohith MV; Stefan Stojanov; James M. Rehg", + "aff": "Amazon Lab126; Amazon Lab126, Georgia Institute of Technology", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Unsupervised_3D_Pose_Estimation_With_Geometric_Self-Supervision_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhong_Unsupervised_Deep_Epipolar_Flow_for_Stationary_or_Dynamic_Scenes_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yiran Zhong; Pan Ji; Jianyuan Wang; Yuchao Dai; Hongdong Li", + "aff": "Australian National University; Northwestern Polytechnical University; NEC Labs America", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhong_Unsupervised_Deep_Epipolar_Flow_for_Stationary_or_Dynamic_Scenes_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Unsupervised Deep Tracking", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/594422814/UDT", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Unsupervised_Deep_Tracking_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ning Wang; Yibing Song; Chao Ma; Wengang Zhou; Wei Liu; Houqiang Li", + "aff": "Tencent AI Lab; MoE Key Lab of Arti\ufb01cial Intelligence, AI Institute, Shanghai Jiao Tong University; CAS Key Laboratory of GIPAS, University of Science and Technology of China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Unsupervised_Deep_Tracking_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xing_Unsupervised_Disentangling_of_Appearance_and_Geometry_by_Deformable_Generator_Network_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xianglei Xing; Tian Han; Ruiqi Gao; Song-Chun Zhu; Ying Nian Wu", + "aff": "College of Automation, Harbin Engineering University, Harbin 150001, China; Department of Statistics, University of California, Los Angeles, California 90095", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xing_Unsupervised_Disentangling_of_Appearance_and_Geometry_by_Deformable_Generator_Network_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Roy_Unsupervised_Domain_Adaptation_Using_Feature-Whitening_and_Consensus_Loss_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Subhankar Roy; Aliaksandr Siarohin; Enver Sangineto; Samuel Rota Bul\u00c3\u00b2; Nicu Sebe; Elisa Ricci", + "aff": "Mapillary Research; DISI, University of Trento, Italy; DISI, University of Trento, Italy; Fondazione Bruno Kessler, Trento, Italy", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Roy_Unsupervised_Domain_Adaptation_Using_Feature-Whitening_and_Consensus_Loss_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Unsupervised Domain Adaptation for ToF Data Denoising With Adversarial Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Agresti_Unsupervised_Domain_Adaptation_for_ToF_Data_Denoising_With_Adversarial_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Gianluca Agresti; Henrik Schaefer; Piergiorgio Sartor; Pietro Zanuttigh", + "aff": "University of Padova; Sony Europe B.V.", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Agresti_Unsupervised_Domain_Adaptation_for_ToF_Data_Denoising_With_Adversarial_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Unsupervised Domain-Specific Deblurring via Disentangled Representations", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lu_Unsupervised_Domain-Specific_Deblurring_via_Disentangled_Representations_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Boyu Lu; Jun-Cheng Chen; Rama Chellappa", + "aff": "UMIACS, University of Maryland, College Park", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lu_Unsupervised_Domain-Specific_Deblurring_via_Disentangled_Representations_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Unsupervised Embedding Learning via Invariant and Spreading Instance Feature", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ye_Unsupervised_Embedding_Learning_via_Invariant_and_Spreading_Instance_Feature_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Mang Ye; Xu Zhang; Pong C. Yuen; Shih-Fu Chang", + "aff": "Hong Kong Baptist University, Hong Kong; Columbia University, New York", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ye_Unsupervised_Embedding_Learning_via_Invariant_and_Spreading_Instance_Feature_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Unsupervised Event-Based Learning of Optical Flow, Depth, and Egomotion", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhu_Unsupervised_Event-Based_Learning_of_Optical_Flow_Depth_and_Egomotion_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Alex Zihao Zhu; Liangzhe Yuan; Kenneth Chaney; Kostas Daniilidis", + "aff": "University of Pennsylvania", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhu_Unsupervised_Event-Based_Learning_of_Optical_Flow_Depth_and_Egomotion_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Unsupervised Face Normalization With Extreme Pose and Expression in the Wild", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/mx54039q/fnm", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Qian_Unsupervised_Face_Normalization_With_Extreme_Pose_and_Expression_in_the_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yichen Qian; Weihong Deng; Jiani Hu", + "aff": "Beijing University of Posts and Telecommunications; AI Labs, Didi Chuxing, Beijing 100193, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Qian_Unsupervised_Face_Normalization_With_Extreme_Pose_and_Expression_in_the_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Unsupervised Image Captioning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Feng_Unsupervised_Image_Captioning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yang Feng; Lin Ma; Wei Liu; Jiebo Luo", + "aff": "Tencent AI Lab; University of Rochester", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Feng_Unsupervised_Image_Captioning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Unsupervised Image Matching and Object Discovery as Optimization", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Vo_Unsupervised_Image_Matching_and_Object_Discovery_as_Optimization_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Huy V. Vo; Francis Bach; Minsu Cho; Kai Han; Yann LeCun; Patrick P\u00c3\u00a9rez; Jean Ponce", + "aff": "POSTECH; 1D\u00b4epartement d\u2019informatique de l\u2019ENS, ENS, CNRS, PSL University, Paris, France; 2INRIA, Paris, France; 1D\u00b4epartement d\u2019informatique de l\u2019ENS, ENS, CNRS, PSL University, Paris, France; 2INRIA, Paris, France; 3Valeo.ai; New York University; Valeo.ai; University of Oxford", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Vo_Unsupervised_Image_Matching_and_Object_Discovery_as_Optimization_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Unsupervised Learning of Action Classes With Continuous Temporal Embedding", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kukleva_Unsupervised_Learning_of_Action_Classes_With_Continuous_Temporal_Embedding_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Anna Kukleva; Hilde Kuehne; Fadime Sener; J\u00c3\u00bcrgen Gall", + "aff": "MIT-IBM Watson Lab, Cambridge, MA; University of Bonn, Germany", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kukleva_Unsupervised_Learning_of_Action_Classes_With_Continuous_Temporal_Embedding_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Unsupervised Learning of Consensus Maximization for 3D Vision Problems", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Probst_Unsupervised_Learning_of_Consensus_Maximization_for_3D_Vision_Problems_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Thomas Probst; Danda Pani Paudel; Ajad Chhatkuli; Luc Van Gool", + "aff": "Computer Vision Laboratory, ETH Zurich, Switzerland", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Probst_Unsupervised_Learning_of_Consensus_Maximization_for_3D_Vision_Problems_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Unsupervised Learning of Dense Shape Correspondence", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Halimi_Unsupervised_Learning_of_Dense_Shape_Correspondence_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Oshri Halimi; Or Litany; Emanuele Rodol\u00c3\u00a0; Alex M. Bronstein; Ron Kimmel", + "aff": "Technion, Israel; Sapienza University of Rome; Facebook AI Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Halimi_Unsupervised_Learning_of_Dense_Shape_Correspondence_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Unsupervised Moving Object Detection via Contextual Information Separation", + "status": "Poster", + "site": "", + "track": "main", + "project": "http://rpg.ifi.uzh.ch/unsupervised_detection.html", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yang_Unsupervised_Moving_Object_Detection_via_Contextual_Information_Separation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yanchao Yang; Antonio Loquercio; Davide Scaramuzza; Stefano Soatto", + "aff": "UCLA Vision Lab; University of Zurich", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yang_Unsupervised_Moving_Object_Detection_via_Contextual_Information_Separation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Unsupervised Multi-Modal Neural Machine Translation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Su_Unsupervised_Multi-Modal_Neural_Machine_Translation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yuanhang Su; Kai Fan; Nguyen Bach; C.-C. Jay Kuo; Fei Huang", + "aff": "University of Southern California; Alibaba Group Inc. (US)", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Su_Unsupervised_Multi-Modal_Neural_Machine_Translation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhuo_Unsupervised_Open_Domain_Recognition_by_Semantic_Discrepancy_Minimization_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Junbao Zhuo; Shuhui Wang; Shuhao Cui; Qingming Huang", + "aff": "Key Lab of Intell. Info. Process., Inst. of Comput. Tech., CAS, Beijing, 100190, China; University of Chinese Academy of Sciences, Beijing, 100049, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhuo_Unsupervised_Open_Domain_Recognition_by_Semantic_Discrepancy_Minimization_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Unsupervised Part-Based Disentangling of Object Shape and Appearance", + "status": "Oral", + "site": "", + "track": "main", + "project": "https://compvis.github.io/unsupervised-disentangling/", + "github": "https://github.com/compvis/unsupervised-disentangling", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lorenz_Unsupervised_Part-Based_Disentangling_of_Object_Shape_and_Appearance_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Dominik Lorenz; Leonard Bereska; Timo Milbich; Bj\u00c3\u00b6rn Ommer", + "aff": "Heidelberg Collaboratory for Image Processing / IWR, Heidelberg University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lorenz_Unsupervised_Part-Based_Disentangling_of_Object_Shape_and_Appearance_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Unsupervised Person Image Generation With Semantic Parsing Transformation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/SijieSong/person_generation_spt.git", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Song_Unsupervised_Person_Image_Generation_With_Semantic_Parsing_Transformation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Sijie Song; Wei Zhang; Jiaying Liu; Tao Mei", + "aff": "Institute of Computer Science and Technology, Peking University, Beijing, China; JD AI Research, Beijing, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Song_Unsupervised_Person_Image_Generation_With_Semantic_Parsing_Transformation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Unsupervised Person Re-Identification by Soft Multilabel Learning", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/KovenYu/MAR", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yu_Unsupervised_Person_Re-Identification_by_Soft_Multilabel_Learning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hong-Xing Yu; Wei-Shi Zheng; Ancong Wu; Xiaowei Guo; Shaogang Gong; Jian-Huang Lai", + "aff": "Sun Yat-sen University, China and Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China; Queen Mary University of London, UK; Sun Yat-sen University, China; YouTu Lab, Tencent", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yu_Unsupervised_Person_Re-Identification_by_Soft_Multilabel_Learning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Unsupervised Primitive Discovery for Improved 3D Generative Modeling", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Khan_Unsupervised_Primitive_Discovery_for_Improved_3D_Generative_Modeling_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Salman H. Khan; Yulan Guo; Munawar Hayat; Nick Barnes", + "aff": "Inception Institute of Arti\ufb01cial Intelligence, UAE; National University of Defense Technology, China; Australian National University, AU", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Khan_Unsupervised_Primitive_Discovery_for_Improved_3D_Generative_Modeling_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kim_Unsupervised_Visual_Domain_Adaptation_A_Deep_Max-Margin_Gaussian_Process_Approach_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Minyoung Kim; Pritish Sahu; Behnam Gholami; Vladimir Pavlovic", + "aff": "Dept. of Computer Science, Rutgers University, NJ, USA; Dept. of Electronic Engineering, Seoul National University of Science & Technology, South Korea; Samsung AI Center, Cambridge, UK; Dept. of Computer Science, Rutgers University, NJ, USA; Dept. of Computer Science, Rutgers University, NJ, USA; Samsung AI Center, Cambridge, UK", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kim_Unsupervised_Visual_Domain_Adaptation_A_Deep_Max-Margin_Gaussian_Process_Approach_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Using Unknown Occluders to Recover Hidden Scenes", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yedidia_Using_Unknown_Occluders_to_Recover_Hidden_Scenes_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Adam B. Yedidia; Manel Baradad; Christos Thrampoulidis; William T. Freeman; Gregory W. Wornell", + "aff": "Massachusetts Institute of Technology; Massachusetts Institute of Technology, Google Research; U.C. Santa Barbara", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yedidia_Using_Unknown_Occluders_to_Recover_Hidden_Scenes_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/PKU-IMRE/VERI-Wild", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lou_VERI-Wild_A_Large_Dataset_and_a_New_Method_for_Vehicle_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yihang Lou; Yan Bai; Jun Liu; Shiqi Wang; Lingyu Duan", + "aff": "City University of Hong Kong, Hongkong, China; Nanyang Technological University, Singapore; Peking University, Beijing, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lou_VERI-Wild_A_Large_Dataset_and_a_New_Method_for_Vehicle_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "VITAMIN-E: VIsual Tracking and MappINg With Extremely Dense Feature Points", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yokozuka_VITAMIN-E_VIsual_Tracking_and_MappINg_With_Extremely_Dense_Feature_Points_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Masashi Yokozuka; Shuji Oishi; Simon Thompson; Atsuhiko Banno", + "aff": "Robot Innovation Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Japan", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yokozuka_VITAMIN-E_VIsual_Tracking_and_MappINg_With_Extremely_Dense_Feature_Points_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "VRSTC: Occlusion-Free Video Person Re-Identification", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hou_VRSTC_Occlusion-Free_Video_Person_Re-Identification_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ruibing Hou; Bingpeng Ma; Hong Chang; Xinqian Gu; Shiguang Shan; Xilin Chen", + "aff": "", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hou_VRSTC_Occlusion-Free_Video_Person_Re-Identification_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Variational Autoencoders Pursue PCA Directions (by Accident)", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Rolinek_Variational_Autoencoders_Pursue_PCA_Directions_by_Accident_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Michal Rol\u00c3\u00adnek; Dominik Zietlow; Georg Martius", + "aff": "Max-Planck-Institute for Intelligent Systems, T \u00b4ubingen, Germany", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Rolinek_Variational_Autoencoders_Pursue_PCA_Directions_by_Accident_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Variational Bayesian Dropout With a Hierarchical Prior", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://sites.google.com/view/yuhangliu/pro", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Liu_Variational_Bayesian_Dropout_With_a_Hierarchical_Prior_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yuhang Liu; Wenyong Dong; Lei Zhang; Dong Gong; Qinfeng Shi", + "aff": "School of Computer Science, Wuhan University, Hubei, China; The University of Adelaide, Australia; Inception Institute of Arti\ufb01cial Intelligence, UAE; School of Computer Science, Wuhan University, Hubei, China; The University of Adelaide, Australia; The University of Adelaide, Australia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Liu_Variational_Bayesian_Dropout_With_a_Hierarchical_Prior_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Variational Convolutional Neural Network Pruning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhao_Variational_Convolutional_Neural_Network_Pruning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chenglong Zhao; Bingbing Ni; Jian Zhang; Qiwei Zhao; Wenjun Zhang; Qi Tian", + "aff": "Huawei Noah\u2019s Ark Lab; Shanghai Jiao Tong University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhao_Variational_Convolutional_Neural_Network_Pruning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Variational Information Distillation for Knowledge Transfer", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ahn_Variational_Information_Distillation_for_Knowledge_Transfer_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Sungsoo Ahn; Shell Xu Hu; Andreas Damianou; Neil D. Lawrence; Zhenwen Dai", + "aff": "Korea Advanced Institute of Science and Technology, Daejeon, Korea; Amazon, Cambridge, United Kingdom; \u00b4Ecole des Ponts ParisTech, Champs-sur-Marne, France", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ahn_Variational_Information_Distillation_for_Knowledge_Transfer_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Kim_Variational_Prototyping-Encoder_One-Shot_Learning_With_Prototypical_Images_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Junsik Kim; Tae-Hyun Oh; Seokju Lee; Fei Pan; In So Kweon", + "aff": "\u2020MIT CSAIL, Cambridge, US; Dept. of Electrical Engineering, KAIST, Daejeon, Korea", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Kim_Variational_Prototyping-Encoder_One-Shot_Learning_With_Prototypical_Images_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Atapour-Abarghouei_Veritatem_Dies_Aperit_-_Temporally_Consistent_Depth_Prediction_Enabled_by_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Amir Atapour-Abarghouei; Toby P. Breckon", + "aff": "Department of Engineering, Durham University, UK; Department of Computer Science, Durham University, UK", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Atapour-Abarghouei_Veritatem_Dies_Aperit_-_Temporally_Consistent_Depth_Prediction_Enabled_by_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Versatile Multiple Choice Learning and Its Application to Vision Computing", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tian_Versatile_Multiple_Choice_Learning_and_Its_Application_to_Vision_Computing_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kai Tian; Yi Xu; Shuigeng Zhou; Jihong Guan", + "aff": "Shanghai Key Lab of Intelligent Information Processing, and School of Computer Science, Fudan University, Shanghai 200433, China; Shanghai Institute of Intelligent Electronics & Systems, Fudan University, Shanghai 200433, China; Department of Computer Science & Technology, Tongji University, Shanghai 201804, China; Shanghai Key Lab of Intelligent Information Processing, and School of Computer Science, Fudan University, Shanghai 200433, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tian_Versatile_Multiple_Choice_Learning_and_Its_Application_to_Vision_Computing_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Video Action Transformer Network", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "http://rohitgirdhar.github.io/ActionTransformer", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Girdhar_Video_Action_Transformer_Network_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Rohit Girdhar; Jo\u00c3\u00a3o Carreira; Carl Doersch; Andrew Zisserman", + "aff": "DeepMind; Carnegie Mellon University; DeepMind, University of Oxford", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Girdhar_Video_Action_Transformer_Network_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Video Generation From Single Semantic Label Map", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/junting/seg2vid", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Pan_Video_Generation_From_Single_Semantic_Label_Map_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Junting Pan; Chengyu Wang; Xu Jia; Jing Shao; Lu Sheng; Junjie Yan; Xiaogang Wang", + "aff": "Sensetime Research1, CUHK-SenseTime Joint Lab, The Chinese University of Hong Kong4; Huawei Noah\u2019s Ark Lab2; College of Software, Beihang University3, CUHK-SenseTime Joint Lab, The Chinese University of Hong Kong4", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Pan_Video_Generation_From_Single_Semantic_Label_Map_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Video Magnification in the Wild Using Fractional Anisotropy in Temporal Distribution", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Takeda_Video_Magnification_in_the_Wild_Using_Fractional_Anisotropy_in_Temporal_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Shoichiro Takeda; Yasunori Akagi; Kazuki Okami; Megumi Isogai; Hideaki Kimata", + "aff": "NTT Media Intelligence Laboratories; NTT Service Evolution Laboratories", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Takeda_Video_Magnification_in_the_Wild_Using_Fractional_Anisotropy_in_Temporal_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Video Relationship Reasoning Using Gated Spatio-Temporal Energy Graph", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/yaohungt/GSTEG_CVPR_2019", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tsai_Video_Relationship_Reasoning_Using_Gated_Spatio-Temporal_Energy_Graph_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yao-Hung Hubert Tsai; Santosh Divvala; Louis-Philippe Morency; Ruslan Salakhutdinov; Ali Farhadi", + "aff": "Allen Institute for AI; Carnegie Mellon University; University of Washington", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tsai_Video_Relationship_Reasoning_Using_Gated_Spatio-Temporal_Energy_Graph_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Video Summarization by Learning From Unpaired Data", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Rochan_Video_Summarization_by_Learning_From_Unpaired_Data_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Mrigank Rochan; Yang Wang", + "aff": "University of Manitoba", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Rochan_Video_Summarization_by_Learning_From_Unpaired_Data_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Viewport Proposal CNN for 360\u00c2\u00b0 Video Quality Assessment", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/Archer-Tatsu/V-CNN", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Viewport_Proposal_CNN_for_360deg_Video_Quality_Assessment_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Chen Li; Mai Xu; Lai Jiang; Shanyi Zhang; Xiaoming Tao", + "aff": "Department of Electronic Engineering, Tsinghua University, Beijing, China; Hangzhou Innovation Institute (HZII), Beihang University, Hangzhou, Zhejiang, China; School of Electronic and Information Engineering, Beihang University, Beijing, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Viewport_Proposal_CNN_for_360deg_Video_Quality_Assessment_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Vision-Based Navigation With Language-Based Assistance via Imitation Learning With Indirect Intervention", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "https://github.com/debadeepta/vnla", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Nguyen_Vision-Based_Navigation_With_Language-Based_Assistance_via_Imitation_Learning_With_Indirect_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Khanh Nguyen; Debadeepta Dey; Chris Brockett; Bill Dolan", + "aff": "Microsoft Research, Redmond; University of Maryland, College Park", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Nguyen_Vision-Based_Navigation_With_Language-Based_Assistance_via_Imitation_Learning_With_Indirect_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Visual Attention Consistency Under Image Transforms for Multi-Label Image Classification", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Guo_Visual_Attention_Consistency_Under_Image_Transforms_for_Multi-Label_Image_Classification_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hao Guo; Kang Zheng; Xiaochuan Fan; Hongkai Yu; Song Wang", + "aff": "Tianjin University; University of Texas - Rio Grande Valley; University of South Carolina", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Guo_Visual_Attention_Consistency_Under_Image_Transforms_for_Multi-Label_Image_Classification_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Visual Localization by Learning Objects-Of-Interest Dense Match Regression", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Weinzaepfel_Visual_Localization_by_Learning_Objects-Of-Interest_Dense_Match_Regression_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Philippe Weinzaepfel; Gabriela Csurka; Yohann Cabon; Martin Humenberger", + "aff": "NAVER LABS Europe", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Weinzaepfel_Visual_Localization_by_Learning_Objects-Of-Interest_Dense_Match_Regression_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Visual Query Answering by Entity-Attribute Graph Matching and Reasoning", + "status": "Poster", + "site": "", + "track": "main", + "project": "http://120.25.121.173/research/vqa", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xiong_Visual_Query_Answering_by_Entity-Attribute_Graph_Matching_and_Reasoning_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Peixi Xiong; Huayi Zhan; Xin Wang; Baivab Sinha; Ying Wu", + "aff": "Sichuan Changhong Electric Co. Ltd; Northwestern University; Southwest Jiaotong University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xiong_Visual_Query_Answering_by_Entity-Attribute_Graph_Matching_and_Reasoning_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Visual Question Answering as Reading Comprehension", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Visual_Question_Answering_as_Reading_Comprehension_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Hui Li; Peng Wang; Chunhua Shen; Anton van den Hengel", + "aff": "School of Computer Science, Northwestern Polytechnical University, China; Australian Centre for Robotic Vision, The University of Adelaide, Australia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Visual_Question_Answering_as_Reading_Comprehension_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Visual Tracking via Adaptive Spatially-Regularized Correlation Filters", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Dai_Visual_Tracking_via_Adaptive_Spatially-Regularized_Correlation_Filters_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Kenan Dai; Dong Wang; Huchuan Lu; Chong Sun; Jianhua Li", + "aff": "Peng Cheng Laboratory; School of Information and Communication Engineering, Dalian University of Technology, China; Tencent Youtu Lab", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Dai_Visual_Tracking_via_Adaptive_Spatially-Regularized_Correlation_Filters_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "VizWiz-Priv: A Dataset for Recognizing the Presence and Purpose of Private Visual Information in Images Taken by Blind People", + "status": "Poster", + "site": "", + "track": "main", + "project": "http://vizwiz.org/data/", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Gurari_VizWiz-Priv_A_Dataset_for_Recognizing_the_Presence_and_Purpose_of_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Danna Gurari; Qing Li; Chi Lin; Yinan Zhao; Anhong Guo; Abigale Stangl; Jeffrey P. Bigham", + "aff": "University of California, Los Angeles; University of Colorado Boulder; University of Texas at Austin; Carnegie Mellon University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Gurari_VizWiz-Priv_A_Dataset_for_Recognizing_the_Presence_and_Purpose_of_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Volumetric Capture of Humans With a Single RGBD Camera via Semi-Parametric Learning", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Pandey_Volumetric_Capture_of_Humans_With_a_Single_RGBD_Camera_via_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Rohit Pandey; Anastasia Tkach; Shuoran Yang; Pavel Pidlypenskyi; Jonathan Taylor; Ricardo Martin-Brualla; Andrea Tagliasacchi; George Papandreou; Philip Davidson; Cem Keskin; Shahram Izadi; Sean Fanello", + "aff": "Google Inc.", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Pandey_Volumetric_Capture_of_Humans_With_a_Single_RGBD_Camera_via_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "WarpGAN: Automatic Caricature Generation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Shi_WarpGAN_Automatic_Caricature_Generation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yichun Shi; Debayan Deb; Anil K. Jain", + "aff": "Michigan State University, East Lansing MI 48824", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Shi_WarpGAN_Automatic_Caricature_Generation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ge_Weakly_Supervised_Complementary_Parts_Models_for_Fine-Grained_Image_Classification_From_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Weifeng Ge; Xiangru Lin; Yizhou Yu", + "aff": "Deepwise AI Lab; The University of Hong Kong", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ge_Weakly_Supervised_Complementary_Parts_Models_for_Fine-Grained_Image_Classification_From_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Weakly Supervised Deep Image Hashing Through Tag Embeddings", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Gattupalli_Weakly_Supervised_Deep_Image_Hashing_Through_Tag_Embeddings_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Vijetha Gattupalli; Yaoxin Zhuo; Baoxin Li", + "aff": "Arizona State University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Gattupalli_Weakly_Supervised_Deep_Image_Hashing_Through_Tag_Embeddings_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Weakly Supervised Image Classification Through Noise Regularization", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hu_Weakly_Supervised_Image_Classification_Through_Noise_Regularization_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Mengying Hu; Hu Han; Shiguang Shan; Xilin Chen", + "aff": "CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai, China; Peng Cheng Laboratory, Shenzhen, China; Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hu_Weakly_Supervised_Image_Classification_Through_Noise_Regularization_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Weakly Supervised Learning of Instance Segmentation With Inter-Pixel Relations", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ahn_Weakly_Supervised_Learning_of_Instance_Segmentation_With_Inter-Pixel_Relations_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jiwoon Ahn; Sunghyun Cho; Suha Kwak", + "aff": "POSTECH; DGIST; DGIST, Kakao Corp.", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ahn_Weakly_Supervised_Learning_of_Instance_Segmentation_With_Inter-Pixel_Relations_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Weakly Supervised Open-Set Domain Adaptation by Dual-Domain Collaboration", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tan_Weakly_Supervised_Open-Set_Domain_Adaptation_by_Dual-Domain_Collaboration_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Shuhan Tan; Jiening Jiao; Wei-Shi Zheng", + "aff": "School of Electronics and Information Technology, Sun Yat-sen University, China; Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China; School of Data and Computer Science, Sun Yat-sen University, China; Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China; School of Data and Computer Science, Sun Yat-sen University, China; Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China; Accuvision Technology Co. Ltd.", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tan_Weakly_Supervised_Open-Set_Domain_Adaptation_by_Dual-Domain_Collaboration_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Weakly Supervised Person Re-Identification", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Meng_Weakly_Supervised_Person_Re-Identification_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jingke Meng; Sheng Wu; Wei-Shi Zheng", + "aff": "School of Data and Computer Science, Sun Yat-sen University, China; Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, China; School of Data and Computer Science, Sun Yat-sen University, China; School of Data and Computer Science, Sun Yat-sen University, China; Accuvision Technology Co. Ltd, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Meng_Weakly_Supervised_Person_Re-Identification_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Weakly Supervised Video Moment Retrieval From Text Queries", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Mithun_Weakly_Supervised_Video_Moment_Retrieval_From_Text_Queries_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Niluthpol Chowdhury Mithun; Sujoy Paul; Amit K. Roy-Chowdhury", + "aff": "Electrical and Computer Engineering, University of California, Riverside", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Mithun_Weakly_Supervised_Video_Moment_Retrieval_From_Text_Queries_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_Weakly-Supervised_Discovery_of_Geometry-Aware_Representation_for_3D_Human_Pose_Estimation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xipeng Chen; Kwan-Yee Lin; Wentao Liu; Chen Qian; Liang Lin", + "aff": "Sun Yat-Sen University; Peking University; SenseTime Research", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_Weakly-Supervised_Discovery_of_Geometry-Aware_Representation_for_3D_Human_Pose_Estimation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "What Correspondences Reveal About Unknown Camera and Motion Models?", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Probst_What_Correspondences_Reveal_About_Unknown_Camera_and_Motion_Models_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Thomas Probst; Ajad Chhatkuli; Danda Pani Paudel; Luc Van Gool", + "aff": "Computer Vision Laboratory, ETH Zurich, Switzerland and VISICS, ESAT/PSI, KU Leuven, Belgium; Computer Vision Laboratory, ETH Zurich, Switzerland", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Probst_What_Correspondences_Reveal_About_Unknown_Camera_and_Motion_Models_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "What Do Single-View 3D Reconstruction Networks Learn?", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Tatarchenko_What_Do_Single-View_3D_Reconstruction_Networks_Learn_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Maxim Tatarchenko; Stephan R. Richter; Ren\u00c3\u00a9 Ranftl; Zhuwen Li; Vladlen Koltun; Thomas Brox", + "aff": "University of Freiburg; Intel Labs", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Tatarchenko_What_Do_Single-View_3D_Reconstruction_Networks_Learn_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "What Does It Mean to Learn in Deep Networks? And, How Does One Detect Adversarial Attacks?", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Corneanu_What_Does_It_Mean_to_Learn_in_Deep_Networks_And_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ciprian A. Corneanu; Meysam Madadi; Sergio Escalera; Aleix M. Martinez", + "aff": "Univ. Barcelona; OSU; CVC, UAB", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Corneanu_What_Does_It_Mean_to_Learn_in_Deep_Networks_And_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "What Object Should I Use? - Task Driven Object Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Sawatzky_What_Object_Should_I_Use_-_Task_Driven_Object_Detection_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Johann Sawatzky; Yaser Souri; Christian Grund; J\u00c3\u00bcrgen Gall", + "aff": "University of Bonn", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Sawatzky_What_Object_Should_I_Use_-_Task_Driven_Object_Detection_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment", + "status": "Oral", + "site": "", + "track": "main", + "project": "http://rtis.oit.unlv.edu/datasets.html", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Parmar_What_and_How_Well_You_Performed_A_Multitask_Learning_Approach_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Paritosh Parmar; Brendan Tran Morris", + "aff": "University of Nevada, Las Vegas", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Parmar_What_and_How_Well_You_Performed_A_Multitask_Learning_Approach_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Abbasnejad_Whats_to_Know_Uncertainty_as_a_Guide_to_Asking_Goal-Oriented_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Ehsan Abbasnejad; Qi Wu; Qinfeng Shi; Anton van den Hengel", + "aff": "Australian Institute of Machine Learning & The University of Adelaide, Australia", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Abbasnejad_Whats_to_Know_Uncertainty_as_a_Guide_to_Asking_Goal-Oriented_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "When Color Constancy Goes Wrong: Correcting Improperly White-Balanced Images", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Afifi_When_Color_Constancy_Goes_Wrong_Correcting_Improperly_White-Balanced_Images_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Mahmoud Afifi; Brian Price; Scott Cohen; Michael S. Brown", + "aff": "Adobe Research; York University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Afifi_When_Color_Constancy_Goes_Wrong_Correcting_Improperly_White-Balanced_Images_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Burlina_Wheres_Wally_Now_Deep_Generative_and_Discriminative_Embeddings_for_Novelty_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Philippe Burlina; Neil Joshi; I-Jeng Wang", + "aff": "Johns Hopkins University Applied Physics Laboratory", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Burlina_Wheres_Wally_Now_Deep_Generative_and_Discriminative_Embeddings_for_Novelty_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Which Way Are You Going? Imitative Decision Learning for Path Forecasting in Dynamic Scenes", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Which_Way_Are_You_Going_Imitative_Decision_Learning_for_Path_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yuke Li", + "aff": "York University, Toronto, Canada; AutoNavi, Alibaba Group, Beijing, China", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Li_Which_Way_Are_You_Going_Imitative_Decision_Learning_for_Path_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Why ReLU Networks Yield High-Confidence Predictions Far Away From the Training Data and How to Mitigate the Problem", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Hein_Why_ReLU_Networks_Yield_High-Confidence_Predictions_Far_Away_From_the_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Matthias Hein; Maksym Andriushchenko; Julian Bitterwolf", + "aff": "Saarland University; University of T\u00a8ubingen", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Hein_Why_ReLU_Networks_Yield_High-Confidence_Predictions_Far_Away_From_the_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Wide-Area Crowd Counting via Ground-Plane Density Maps and Multi-View Fusion CNNs", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Wide-Area_Crowd_Counting_via_Ground-Plane_Density_Maps_and_Multi-View_Fusion_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Qi Zhang; Antoni B. Chan", + "aff": "Department of Computer Science, City University of Hong Kong", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Wide-Area_Crowd_Counting_via_Ground-Plane_Density_Maps_and_Multi-View_Fusion_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Wide-Context Semantic Image Extrapolation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Wide-Context_Semantic_Image_Extrapolation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yi Wang; Xin Tao; Xiaoyong Shen; Jiaya Jia", + "aff": "The Chinese University of Hong Kong, YouTu Lab, Tencent; YouTu Lab, Tencent", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Wang_Wide-Context_Semantic_Image_Extrapolation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "World From Blur", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Qiu_World_From_Blur_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Jiayan Qiu; Xinchao Wang; Stephen J. Maybank; Dacheng Tao", + "aff": "Department of Computer Science, Stevens Institute of Technology, USA; UBTECH Sydney AI centre, School of Computer Science, FEIT, University of Sydney, Australia; Department of Computer Science and Information Systems, Birkbeck College, University of London, UK", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Qiu_World_From_Blur_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Ying_X2CT-GAN_Reconstructing_CT_From_Biplanar_X-Rays_With_Generative_Adversarial_Networks_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xingde Ying; Heng Guo; Kai Ma; Jian Wu; Zhengxin Weng; Yefeng Zheng", + "aff": "YouTu Lab, Tencent; Zhejiang University; YouTu Lab, Tencent\u00a7Shanghai Jiao Tong University; Shanghai Jiao Tong University; YouTu Lab, Tencent\u2020Zhejiang University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Ying_X2CT-GAN_Reconstructing_CT_From_Biplanar_X-Rays_With_Generative_Adversarial_Networks_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "You Look Twice: GaterNet for Dynamic Filter Selection in CNNs", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Chen_You_Look_Twice_GaterNet_for_Dynamic_Filter_Selection_in_CNNs_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Zhourong Chen; Yang Li; Samy Bengio; Si Si", + "aff": "Google Research, Mountain View; The Hong Kong University of Science and Technology, Hong Kong; Google Research, Mountain View", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Chen_You_Look_Twice_GaterNet_for_Dynamic_Filter_Selection_in_CNNs_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Singh_You_Reap_What_You_Sow_Using_Videos_to_Generate_High_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Krishna Kumar Singh; Yong Jae Lee", + "aff": "University of California, Davis", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Singh_You_Reap_What_You_Sow_Using_Videos_to_Generate_High_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Zero-Shot Task Transfer", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Pal_Zero-Shot_Task_Transfer_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Arghya Pal; Vineeth N Balasubramanian", + "aff": "Department of Computer Science and Engineering, Indian Institute of Technology, Hyderabad, INDIA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Pal_Zero-Shot_Task_Transfer_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "ZigZagNet: Fusing Top-Down and Bottom-Up Context for Object Segmentation", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Lin_ZigZagNet_Fusing_Top-Down_and_Bottom-Up_Context_for_Object_Segmentation_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Di Lin; Dingguo Shen; Siting Shen; Yuanfeng Ji; Dani Lischinski; Daniel Cohen-Or; Hui Huang", + "aff": "The Hebrew University of Jerusalem; Shenzhen University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Lin_ZigZagNet_Fusing_Top-Down_and_Bottom-Up_Context_for_Object_Segmentation_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Zoom to Learn, Learn to Zoom", + "status": "Poster", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Zoom_to_Learn_Learn_to_Zoom_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xuaner Zhang; Qifeng Chen; Ren Ng; Vladlen Koltun", + "aff": "Intel Labs; HKUST; UC Berkeley", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Zhang_Zoom_to_Learn_Learn_to_Zoom_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "Zoom-In-To-Check: Boosting Video Interpolation via Instance-Level Discrimination", + "status": "Poster", + "site": "", + "track": "main", + "project": "https://youtu.be/q-_wIRq26DY", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Yuan_Zoom-In-To-Check_Boosting_Video_Interpolation_via_Instance-Level_Discrimination_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Liangzhe Yuan; Yibo Chen; Hantian Liu; Tao Kong; Jianbo Shi", + "aff": "University of Pennsylvania; University of Pennsylvania, Tsinghua University", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Yuan_Zoom-In-To-Check_Boosting_Video_Interpolation_via_Instance-Level_Discrimination_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding", + "status": "Oral", + "site": "", + "track": "main", + "project": "", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Xu_d-SNE_Domain_Adaptation_Using_Stochastic_Neighborhood_Embedding_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Xiang Xu; Xiong Zhou; Ragav Venkatesan; Gurumurthy Swaminathan; Orchid Majumder", + "aff": "AWS AI, Seattle, USA; Computational Biomedicine Lab, University of Houston, Houston, USA", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Xu_d-SNE_Domain_Adaptation_Using_Stochastic_Neighborhood_Embedding_CVPR_2019_paper.html", + "arxiv": "" + }, + { + "title": "\u00e2\u0080\u009cDouble-DIP\u00e2\u0080\u009d: Unsupervised Image Decomposition via Coupled Deep-Image-Priors", + "status": "Oral", + "site": "", + "track": "main", + "project": "www.wisdom.weizmann.ac.il/\u223cvision/DoubleDIP/", + "github": "", + "pdf": "https://openaccess.thecvf.com/content_CVPR_2019/papers/Gandelsman_Double-DIP_Unsupervised_Image_Decomposition_via_Coupled_Deep-Image-Priors_CVPR_2019_paper.pdf", + "youtube": "", + "author": "Yosef Gandelsman; Assaf Shocher; Michal Irani", + "aff": "Dept. of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Israel", + "oa": "https://openaccess.thecvf.com/content_CVPR_2019/html/Gandelsman_Double-DIP_Unsupervised_Image_Decomposition_via_Coupled_Deep-Image-Priors_CVPR_2019_paper.html", + "arxiv": "" + } +] \ No newline at end of file