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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 - Maxim Maximov, Kevin Galim, Laura Leal-Taixé:
Focus on Defocus: Bridging the Synthetic to Real Domain Gap for Depth Estimation. 1068-1077 - Boyu Wang, Lihan Huang, Minh Hoai:
Active Vision for Early Recognition of Human Actions. 1078-1088 - Xianhang Li, Yali Wang, Zhipeng Zhou, Yu Qiao:
SmallBigNet: Integrating Core and Contextual Views for Video Classification. 1089-1098 - Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz:
Gate-Shift Networks for Video Action Recognition. 1099-1108 - Pengfei Zhang, Cuiling Lan, Wenjun Zeng, Junliang Xing, Jianru Xue, Nanning Zheng:
Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition. 1109-1118 - Ali Dabouei, Sobhan Soleymani, Fariborz Taherkhani, Jeremy M. Dawson, Nasser M. Nasrabadi:
Exploiting Joint Robustness to Adversarial Perturbations. 1119-1128 - Navaneet K. L., Ansu Mathew, Shashank Kashyap, Wei-Chih Hung, Varun Jampani, R. Venkatesh Babu:
From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks. 1129-1137 - Teng Long, Pascal Mettes, Heng Tao Shen, Cees G. M. Snoek:
Searching for Actions on the Hyperbole. 1138-1147 - Ali Shahin Shamsabadi, Ricardo Sánchez-Matilla, Andrea Cavallaro:
ColorFool: Semantic Adversarial Colorization. 1148-1157 - Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael R. Lyu, Yu-Wing Tai:
Boosting the Transferability of Adversarial Samples via Attention. 1158-1167 - Mihir Jain, Amir Ghodrati, Cees G. M. Snoek:
ActionBytes: Learning From Trimmed Videos to Localize Actions. 1168-1177 - Haizhong Zheng, Ziqi Zhang, Juncheng Gu, Honglak Lee, Atul Prakash:
Efficient Adversarial Training With Transferable Adversarial Examples. 1178-1187 - Song Tao, Jia Wang:
Alleviation of Gradient Exploding in GANs: Fake Can Be Real. 1188-1197 - Yue Zhao, Yuwei Wu, Caihua Chen, Andrew Lim:
On Isometry Robustness of Deep 3D Point Cloud Models Under Adversarial Attacks. 1198-1207 - Sven Gowal, Chongli Qin, Po-Sen Huang, A. Taylan Cemgil, Krishnamurthy Dvijotham, Timothy A. Mann, Pushmeet Kohli:
Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations. 1208-1217 - Huichen Li, Xiaojun Xu, Xiaolu Zhang, Shuang Yang, Bo Li:
QEBA: Query-Efficient Boundary-Based Blackbox Attack. 1218-1227 - Seung Wook Kim, Yuhao Zhou, Jonah Philion, Antonio Torralba, Sanja Fidler:
Learning to Simulate Dynamic Environments With GameGAN. 1228-1237 - Ahmadreza Jeddi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong:
Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness. 1238-1247
Oral 1-2A: 3D From Multiview and Sensors (1)
- Yue Jiang, Dantong Ji, Zhizhong Han, Matthias Zwicker:
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization. 1248-1258 - Zhengqin Li, Yu-Ying Yeh, Manmohan Chandraker:
Through the Looking Glass: Neural 3D Reconstruction of Transparent Shapes. 1259-1268 - Joo Ho Lee, Hyunho Ha, Yue Dong, Xin Tong, Min H. Kim:
TextureFusion: High-Quality Texture Acquisition for Real-Time RGB-D Scanning. 1269-1277 - Nan Yang, Lukas von Stumberg, Rui Wang, Daniel Cremers:
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry. 1278-1289 - Danhang Tang, Saurabh Singh, Philip A. Chou, Christian Häne, Mingsong Dou, Sean Ryan Fanello, Jonathan Taylor, Philip Davidson, Onur G. Guleryuz, Yinda Zhang, Shahram Izadi, Andrea Tagliasacchi, Sofien Bouaziz, Cem Keskin:
Deep Implicit Volume Compression. 1290-1300 - Dániel Baráth, Jana Noskova, Maksym Ivashechkin, Jiri Matas:
MAGSAC++, a Fast, Reliable and Accurate Robust Estimator. 1301-1309 - Lila Huang, Shenlong Wang, Kelvin Wong, Jerry Liu, Raquel Urtasun:
OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression. 1310-1320 - Yuxiang Zhang, Liang An, Tao Yu, Xiu Li, Kun Li, Yebin Liu:
4D Association Graph for Realtime Multi-Person Motion Capture Using Multiple Video Cameras. 1321-1330 - Gengshan Yang, Deva Ramanan:
Upgrading Optical Flow to 3D Scene Flow Through Optical Expansion. 1331-1340 - Zhe Li, Tao Yu, Chuanyu Pan, Zerong Zheng, Yebin Liu:
Robust 3D Self-Portraits in Seconds. 1341-1350
Oral 1-2B: Computational Photography
- Matias Tassano, Julie Delon, Thomas Veit:
FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation. 1351-1360 - Givi Meishvili, Simon Jenni, Paolo Favaro:
Learning to Have an Ear for Face Super-Resolution. 1361-1371 - Christopher A. Metzler, Hayato Ikoma, Yifan Peng, Gordon Wetzstein:
Deep Optics for Single-Shot High-Dynamic-Range Imaging. 1372-1382 - Qilin Sun, Ethan Tseng, Qiang Fu, Wolfgang Heidrich, Felix Heide:
Learning Rank-1 Diffractive Optics for Single-Shot High Dynamic Range Imaging. 1383-1393 - Mahmoud Afifi, Michael S. Brown:
Deep White-Balance Editing. 1394-1403 - Sean I. Young, David B. Lindell, Bernd Girod, David Taubman, Gordon Wetzstein:
Non-Line-of-Sight Surface Reconstruction Using the Directional Light-Cone Transform. 1404-1413 - Jeong Joon Park, Aleksander Holynski, Steven M. Seitz:
Seeing the World in a Bag of Chips. 1414-1424 - Shady Abu Hussein, Tom Tirer, Raja Giryes:
Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers. 1425-1434 - Lin Zhu, Siwei Dong, Jianing Li, Tiejun Huang, Yonghong Tian:
Retina-Like Visual Image Reconstruction via Spiking Neural Model. 1435-1443 - Xin Yuan, Yang Liu, Jin-Li Suo, Qionghai Dai:
Plug-and-Play Algorithms for Large-Scale Snapshot Compressive Imaging. 1444-1454
Oral 1-2C: Efficient Training and Inference
- Jian-Hao Luo, Jianxin Wu:
Neural Network Pruning With Residual-Connections and Limited-Data. 1455-1464 - Hanting Chen, Yunhe Wang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu:
AdderNet: Do We Really Need Multiplications in Deep Learning? 1465-1474 - Eugene Lee, Chen-Yi Lee:
NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks. 1475-1484 - Bohan Zhuang, Lingqiao Liu, Mingkui Tan, Chunhua Shen, Ian D. Reid:
Training Quantized Neural Networks With a Full-Precision Auxiliary Module. 1485-1494 - Dongdong Wang, Yandong Li, Liqiang Wang, Boqing Gong:
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation From a Blackbox Model. 1495-1504 - Jinyang Guo, Wanli Ouyang, Dong Xu:
Multi-Dimensional Pruning: A Unified Framework for Model Compression. 1505-1514