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ORCIDCVPR 2020: Virtual Event / Seattle, WA, USA
- 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020. Computer Vision Foundation / IEEE 2020, ISBN 978-1-7281-7168-5
Oral 1-1A: 3D From a Single Image and Shape-From-X (1)
- Shangzhe Wu
, Christian Rupprecht, Andrea Vedaldi:
Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild. 1-10 - Jamie Watson, Michael Firman, Áron Monszpart, Gabriel J. Brostow:
Footprints and Free Space From a Single Color Image. 11-20 - Simron Thapa, Nianyi Li, Jinwei Ye:
Dynamic Fluid Surface Reconstruction Using Deep Neural Network. 21-30 - Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Geoffrey E. Hinton, Andrea Tagliasacchi:
CvxNet: Learnable Convex Decomposition. 31-41 - Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang:
BSP-Net: Generating Compact Meshes via Binary Space Partitioning. 42-51 - Yinyu Nie, Xiaoguang Han, Shihui Guo, Yujian Zheng, Jian Chang, Jian-Jun Zhang:
Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes From a Single Image. 52-61 - Zhihao Xia, Patrick Sullivan, Ayan Chakrabarti:
Generating and Exploiting Probabilistic Monocular Depth Estimates. 62-71 - Yifan Wang, Noam Aigerman, Vladimir G. Kim, Siddhartha Chaudhuri, Olga Sorkine-Hornung:
Neural Cages for Detail-Preserving 3D Deformations. 72-80 - Shunsuke Saito, Tomas Simon, Jason M. Saragih, Hanbyul Joo:
PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization. 81-90 - Kathryn Heal, Jialiang Wang, Steven J. Gortler, Todd E. Zickler:
A Lighting-Invariant Point Processor for Shading. 91-99 - Sena Kiciroglu, Helge Rhodin, Sudipta N. Sinha, Mathieu Salzmann, Pascal Fua:
ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture. 100-109 - Ziyu Jiang, Buyu Liu, Samuel Schulter, Zhangyang Wang, Manmohan Chandraker:
Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations. 110-118
Oral 1-1B: Action and Behavior
- Jonathan Munro, Dima Damen:
Multi-Modal Domain Adaptation for Fine-Grained Action Recognition. 119-129 - A. J. Piergiovanni, Anelia Angelova, Michael S. Ryoo:
Evolving Losses for Unsupervised Video Representation Learning. 130-139 - Ziyu Liu, Hongwen Zhang, Zhenghao Chen, Zhiyong Wang, Wanli Ouyang:
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition. 140-149 - Chao-Yuan Wu, Ross B. Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl:
A Multigrid Method for Efficiently Training Video Models. 150-159 - Tushar Nagarajan, Yanghao Li, Christoph Feichtenhofer, Kristen Grauman:
Ego-Topo: Environment Affordances From Egocentric Video. 160-169 - Jiaqi Guan, Ye Yuan, Kris M. Kitani, Nicholas Rhinehart:
Generative Hybrid Representations for Activity Forecasting With No-Regret Learning. 170-179 - Ke Cheng, Yifan Zhang, Xiangyu He, Weihan Chen, Jian Cheng, Hanqing Lu:
Skeleton-Based Action Recognition With Shift Graph Convolutional Network. 180-189 - Zhibo Yang, Lihan Huang, Yupei Chen, Zijun Wei, Seoyoung Ahn, Gregory J. Zelinsky, Dimitris Samaras, Minh Hoai:
Predicting Goal-Directed Human Attention Using Inverse Reinforcement Learning. 190-199 - Christoph Feichtenhofer:
X3D: Expanding Architectures for Efficient Video Recognition. 200-210 - Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, Qi Tian:
Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction. 211-220 - Kiana Ehsani, Shubham Tulsiani, Saurabh Gupta, Ali Farhadi, Abhinav Gupta:
Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects. 221-230
Oral 1-1C: Adversarial Learning
- Mingyi Zhou, Jing Wu, Yipeng Liu, Shuaicheng Liu, Ce Zhu:
DaST: Data-Free Substitute Training for Adversarial Attacks. 231-240 - Jeet Mohapatra, Tsui-Wei Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel:
Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations. 241-249 - Yuheng Zhang, Ruoxi Jia, Hengzhi Pei, Wenxiao Wang, Bo Li, Dawn Song:
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks. 250-258 - Muzammal Naseer, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli:
A Self-supervised Approach for Adversarial Robustness. 259-268 - Saehyung Lee, Hyungyu Lee, Sungroh Yoon:
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization. 269-278 - Xuanqing Liu, Tesi Xiao, Si Si, Qin Cao, Sanjiv Kumar, Cho-Jui Hsieh:
How Does Noise Help Robustness? Explanation and Exploration under the Neural SDE Framework. 279-287 - Shunta Maeda:
Unpaired Image Super-Resolution Using Pseudo-Supervision. 288-297 - Soheil Kolouri, Aniruddha Saha, Hamed Pirsiavash, Heiko Hoffmann:
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs. 298-307 - Min Wu, Marta Kwiatkowska:
Robustness Guarantees for Deep Neural Networks on Videos. 308-317 - Yinpeng Dong, Qi-An Fu, Xiao Yang, Tianyu Pang, Hang Su, Zihao Xiao, Jun Zhu:
Benchmarking Adversarial Robustness on Image Classification. 318-328 - Alvin Chan, Yi Tay, Yew-Soon Ong:
What It Thinks Is Important Is Important: Robustness Transfers Through Input Gradients. 329-338 - Hongjun Wang, Guangrun Wang, Ya Li, Dongyu Zhang, Liang Lin:
Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking. 339-348
Poster 1-1P
- Heng Wang, Du Tran, Lorenzo Torresani, Matt Feiszli:
Video Modeling With Correlation Networks. 349-358 - Jie Li, Rongrong Ji, Hong Liu, Jianzhuang Liu, Bineng Zhong, Cheng Deng, Qi Tian:
Projection & Probability-Driven Black-Box Attack. 359-368 - Linfeng Zhang, Muzhou Yu, Tong Chen, Zuoqiang Shi, Chenglong Bao, Kaisheng Ma:
Auxiliary Training: Towards Accurate and Robust Models. 369-378 - Yong-Lu Li, Liang Xu, Xinpeng Liu, Xijie Huang, Yue Xu, Shiyi Wang, Haoshu Fang, Ze Ma, Mingyang Chen, Cewu Lu:
PaStaNet: Toward Human Activity Knowledge Engine. 379-388 - Jintai Chen, Biwen Lei, Qingyu Song, Haochao Ying, Danny Z. Chen, Jian Wu:
A Hierarchical Graph Network for 3D Object Detection on Point Clouds. 389-398 - Matheus Gadelha, Giorgio Gori, Duygu Ceylan, Radomír Mech, Nathan Carr, Tamy Boubekeur, Rui Wang, Subhransu Maji:
Learning Generative Models of Shape Handles. 399-408 - Chang Xiao, Changxi Zheng:
One Man's Trash Is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples. 409-418 - Dor Verbin, Todd E. Zickler:
Toward a Universal Model for Shape From Texture. 419-427 - Chen Song, Jiaru Song, Qixing Huang:
HybridPose: 6D Object Pose Estimation Under Hybrid Representations. 428-437 - Jisan Mahmud, True Price, Akash Bapat, Jan-Michael Frahm:
Boundary-Aware 3D Building Reconstruction From a Single Overhead Image. 438-448 - Nilesh Kulkarni, Abhinav Gupta, David F. Fouhey, Shubham Tulsiani:
Articulation-Aware Canonical Surface Mapping. 449-458 - Fu-En Wang, Yu-Hsuan Yeh, Min Sun, Wei-Chen Chiu, Yi-Hsuan Tsai:
BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion. 459-468 - Jiayu Wang, Wengang Zhou, Guo-Jun Qi, Zhongqian Fu, Qi Tian, Houqiang Li:
Transformation GAN for Unsupervised Image Synthesis and Representation Learning. 469-478 - Yue Liao, Si Liu, Fei Wang, Yanjie Chen, Chen Qian, Jiashi Feng:
PPDM: Parallel Point Detection and Matching for Real-Time Human-Object Interaction Detection. 479-487 - Manel Baradad, Antonio Torralba:
Height and Uprightness Invariance for 3D Prediction From a Single View. 488-497 - Mohsen Fayyaz, Jürgen Gall:
SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation. 498-507 - Yancheng Wang, Yang Xiao, Fu Xiong, Wenxiang Jiang, Zhiguo Cao, Joey Tianyi Zhou, Junsong Yuan:
3DV: 3D Dynamic Voxel for Action Recognition in Depth Video. 508-517 - Haoxin Li, Wei-Shi Zheng, Yu Tao, Haifeng Hu, Jian-Huang Lai:
Adaptive Interaction Modeling via Graph Operations Search. 518-527 - Yuan Yao, Nico Schertler, Enrique Rosales, Helge Rhodin, Leonid Sigal, Alla Sheffer:
Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction. 528-537 - Lijun Wang, Jianming Zhang, Oliver Wang, Zhe Lin, Huchuan Lu:
SDC-Depth: Semantic Divide-and-Conquer Network for Monocular Depth Estimation. 538-547 - Richard Tucker, Noah Snavely:
Single-View View Synthesis With Multiplane Images. 548-557 - Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon:
Deep Parametric Shape Predictions Using Distance Fields. 558-567 - Yana Hasson, Bugra Tekin, Federica Bogo, Ivan Laptev, Marc Pollefeys, Cordelia Schmid:
Leveraging Photometric Consistency Over Time for Sparsely Supervised Hand-Object Reconstruction. 568-577 - Jianhe Yuan, Zhihai He:
Ensemble Generative Cleaning With Feedback Loops for Defending Adversarial Attacks. 578-587 - Ceyuan Yang, Yinghao Xu, Jianping Shi, Bo Dai, Bolei Zhou:
Temporal Pyramid Network for Action Recognition. 588-597 - Haotian Yang, Hao Zhu, Yanru Wang, Mingkai Huang, Qiu Shen, Ruigang Yang, Xun Cao:
FaceScape: A Large-Scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction. 598-607 - Ke Xian, Jianming Zhang, Oliver Wang, Long Mai, Zhe Lin, Zhiguo Cao:
Structure-Guided Ranking Loss for Single Image Depth Prediction. 608-617 - Heng Yang, Luca Carlone:
In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction From 2D Landmarks. 618-627 - Minghao Guo, Yuzhe Yang, Rui Xu, Ziwei Liu, Dahua Lin:
When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks. 628-637 - Maosen Li, Cheng Deng, Tengjiao Li, Junchi Yan, Xinbo Gao, Heng Huang:
Towards Transferable Targeted Attack. 638-646 - Feitong Tan, Hao Zhu, Zhaopeng Cui, Siyu Zhu, Marc Pollefeys, Ping Tan:
Self-Supervised Human Depth Estimation From Monocular Videos. 647-656 - Jianhua Sun, Qinhong Jiang, Cewu Lu:
Recursive Social Behavior Graph for Trajectory Prediction. 657-666 - Huaidong Zhang, Xuemiao Xu, Guoqiang Han, Shengfeng He:
Context-Aware and Scale-Insensitive Temporal Repetition Counting. 667-675 - Weifeng Chen, Shengyi Qian, David Fan, Noriyuki Kojima, Max Hamilton, Jia Deng:
OASIS: A Large-Scale Dataset for Single Image 3D in the Wild. 676-685 - Rui Wang, David Geraghty, Kevin Matzen, Richard Szeliski, Jan-Michael Frahm:
VPLNet: Deep Single View Normal Estimation With Vanishing Points and Lines. 686-695 - Tianlong Chen, Sijia Liu, Shiyu Chang, Yu Cheng, Lisa Amini, Zhangyang Wang:
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning. 696-705 - Tejas S. Borkar, Felix Heide, Lina J. Karam:
Defending Against Universal Attacks Through Selective Feature Regeneration. 706-716 - Lifeng Huang, Chengying Gao, Yuyin Zhou, Cihang Xie, Alan L. Yuille, Changqing Zou, Ning Liu:
Universal Physical Camouflage Attacks on Object Detectors. 717-726 - Dian Shao, Yue Zhao, Bo Dai, Dahua Lin:
Intra- and Inter-Action Understanding via Temporal Action Parsing. 727-736 - Xueying Wang, Yudong Guo, Bailin Deng, Juyong Zhang:
Lightweight Photometric Stereo for Facial Details Recovery. 737-746 - Huayi Zeng, Kevin Joseph, Adam Vest, Yasutaka Furukawa:
Bundle Pooling for Polygonal Architecture Segmentation Problem. 747-756 - Alexandros Lattas, Stylianos Moschoglou, Baris Gecer, Stylianos Ploumpis, Vasileios Triantafyllou, Abhijeet Ghosh, Stefanos Zafeiriou:
AvatarMe: Realistically Renderable 3D Facial Reconstruction "In-the-Wild". 757-766 - Sanjay Kariyappa, Moinuddin K. Qureshi:
Defending Against Model Stealing Attacks With Adaptive Misinformation. 767-775 - Dawei Yang, Jia Deng:
Learning to Generate 3D Training Data Through Hybrid Gradient. 776-786 - Xiaogang Wang, Marcelo H. Ang, Gim Hee Lee:
Cascaded Refinement Network for Point Cloud Completion. 787-796 - Guanlin Li, Shuya Ding, Jun Luo, Chang Liu:
Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder. 797-805 - Hyunjun Eun, Jinyoung Moon, Jongyoul Park, Chanho Jung, Changick Kim:
Learning to Discriminate Information for Online Action Detection. 806-815 - Cihang Xie, Mingxing Tan, Boqing Gong, Jiang Wang, Alan L. Yuille, Quoc V. Le:
Adversarial Examples Improve Image Recognition. 816-825 - Rundi Wu, Yixin Zhuang, Kai Xu, Hao Zhang, Baoquan Chen:
PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes. 826-835 - Kirill Gavrilyuk, Ryan Sanford, Mehrsan Javan, Cees G. M. Snoek:
Actor-Transformers for Group Activity Recognition. 836-845 - Angela Dai, Christian Diller, Matthias Nießner:
SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans. 846-855 - Xiaohu Lu, Zuoyue Li, Zhaopeng Cui, Martin R. Oswald, Marc Pollefeys, Rongjun Qin:
Geometry-Aware Satellite-to-Ground Image Synthesis for Urban Areas. 856-864 - Hazel Doughty, Ivan Laptev, Walterio W. Mayol-Cuevas, Dima Damen:
Action Modifiers: Learning From Adverbs in Instructional Videos. 865-875 - Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Sen Wang, Zongyuan Ge, Alexander G. Hauptmann:
ZSTAD: Zero-Shot Temporal Activity Detection. 876-885 - Lei Jin, Yanyu Xu, Jia Zheng, Junfei Zhang, Rui Tang, Shugong Xu, Jingyi Yu, Shenghua Gao:
Geometric Structure Based and Regularized Depth Estimation From 360 Indoor Imagery. 886-895 - Jingwei Xu, Zhenbo Yu, Bingbing Ni, Jiancheng Yang, Xiaokang Yang, Wenjun Zhang:
Deep Kinematics Analysis for Monocular 3D Human Pose Estimation. 896-905 - Yan Li, Bin Ji, Xintian Shi, Jianguo Zhang, Bin Kang, Limin Wang:
TEA: Temporal Excitation and Aggregation for Action Recognition. 906-915 - Dave Epstein, Boyuan Chen, Carl Vondrick:
Oops! Predicting Unintentional Action in Video. 916-926 - Hamid Izadinia, Steven M. Seitz:
Scene Recomposition by Learning-Based ICP. 927-936 - Yantao Lu, Yunhan Jia, Jianyu Wang, Bai Li, Weiheng Chai, Lawrence Carin, Senem Velipasalar:
Enhancing Cross-Task Black-Box Transferability of Adversarial Examples With Dispersion Reduction. 937-946 - Vivek B. S., R. Venkatesh Babu:
Single-Step Adversarial Training With Dropout Scheduling. 947-956 - Javier Grau Chopite, Matthias B. Hullin, Michael Wand, Julian Iseringhausen:
Deep Non-Line-of-Sight Reconstruction. 957-966 - Zhenxing Mi, Yiming Luo, Wenbing Tao:
SSRNet: Scalable 3D Surface Reconstruction Network. 967-976 - Guyue Hu, Bo Cui, Yuan He, Shan Yu:
Progressive Relation Learning for Group Activity Recognition. 977-986 - Bin Yan, Dong Wang, Huchuan Lu, Xiaoyun Yang:
Cooling-Shrinking Attack: Blinding the Tracker With Imperceptible Noises. 987-996 - Ranjie Duan, Xingjun Ma, Yisen Wang, James Bailey, A. Kai Qin, Yun Yang:
Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles. 997-1005 - Baifeng Shi, Qi Dai, Yadong Mu, Jingdong Wang:
Weakly-Supervised Action Localization by Generative Attention Modeling. 1006-1016 - Sravanti Addepalli, Vivek B. S., Arya Baburaj, Gaurang Sriramanan, R. Venkatesh Babu:
Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes. 1017-1026 - Yucheng Shi, Yahong Han, Qi Tian:
Polishing Decision-Based Adversarial Noise With a Customized Sampling. 1027-1035 - Zhengyu Zhao, Zhuoran Liu, Martha A. Larson:
Towards Large Yet Imperceptible Adversarial Image Perturbations With Perceptual Color Distance. 1036-1045 - Joanna Materzynska, Tete Xiao, Roei Herzig, Huijuan Xu, Xiaolong Wang, Trevor Darrell:
Something-Else: Compositional Action Recognition With Spatial-Temporal Interaction Networks. 1046-1056 - Despoina Paschalidou, Luc Van Gool, Andreas Geiger:
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects From a Single RGB Image. 1057-1067