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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 - Ting-Wu Chin, Ruizhou Ding, Cha Zhang, Diana Marculescu:
Towards Efficient Model Compression via Learned Global Ranking. 1515-1525 - Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao:
HRank: Filter Pruning Using High-Rank Feature Map. 1526-1535 - Shaopeng Guo, Yujie Wang, Quanquan Li, Junjie Yan:
DMCP: Differentiable Markov Channel Pruning for Neural Networks. 1536-1544 - Negar Goli, Tor M. Aamodt:
ReSprop: Reuse Sparsified Backpropagation. 1545-1555
Poster 1-2P
- Jingwei Huang, Justus Thies, Angela Dai, Abhijit Kundu, Chiyu Max Jiang, Leonidas J. Guibas, Matthias Nießner, Thomas A. Funkhouser:
Adversarial Texture Optimization From RGB-D Scans. 1556-1565 - Tolga Birdal, Michael Arbel, Umut Simsekli, Leonidas J. Guibas:
Synchronizing Probability Measures on Rotations via Optimal Transport. 1566-1576 - Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, Chang Xu:
GhostNet: More Features From Cheap Operations. 1577-1586 - Keyang Luo, Tao Guan, Lili Ju, Yuesong Wang, Zhuo Chen, Yawei Luo:
Attention-Aware Multi-View Stereo. 1587-1596 - Abhishek Badki, Alejandro J. Troccoli, Kihwan Kim, Jan Kautz, Pradeep Sen, Orazio Gallo:
Bi3D: Stereo Depth Estimation via Binary Classifications. 1597-1605 - Zihao W. Wang, Peiqi Duan, Oliver Cossairt, Aggelos K. Katsaggelos, Tiejun Huang, Boxin Shi:
Joint Filtering of Intensity Images and Neuromorphic Events for High-Resolution Noise-Robust Imaging. 1606-1616 - Guohao Li, Guocheng Qian, Itzel C. Delgadillo, Matthias Müller, Ali K. Thabet, Bernard Ghanem:
SGAS: Sequential Greedy Architecture Search. 1617-1627 - Maosheng Ye, Shuangjie Xu, Tongyi Cao:
HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection. 1628-1637 - Hanting Chen, Yunhe Wang, Han Shu, Yehui Tang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu:
Frequency Domain Compact 3D Convolutional Neural Networks. 1638-1647 - Yu-Lun Liu, Wei-Sheng Lai, Yu-Sheng Chen, Yi-Lung Kao, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang:
Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline. 1648-1657 - Lizhi Wang, Chen Sun, Maoqing Zhang, Ying Fu, Hua Huang:
DNU: Deep Non-Local Unrolling for Computational Spectral Imaging. 1658-1668 - Liyuan Pan, Miaomiao Liu, Richard Hartley:
Single Image Optical Flow Estimation With an Event Camera. 1669-1678 - Minye Wu, Yuehao Wang, Qiang Hu, Jingyi Yu:
Multi-View Neural Human Rendering. 1679-1688 - Kai Zhang, Jiaxin Xie, Noah Snavely, Qifeng Chen:
Depth Sensing Beyond LiDAR Range. 1689-1697 - R. Wes Baldwin, Mohammed Almatrafi, Vijayan K. Asari, Keigo Hirakawa:
Event Probability Mask (EPM) and Event Denoising Convolutional Neural Network (EDnCNN) for Neuromorphic Cameras. 1698-1707 - Weijing Shi, Raj Rajkumar:
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud. 1708-1716 - Wenhan Yang, Robby T. Tan, Shiqi Wang, Jiaying Liu:
Self-Learning Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence. 1717-1726 - Jin Han, Chu Zhou, Peiqi Duan, Yehui Tang, Chang Xu, Chao Xu, Tiejun Huang, Boxin Shi:
Neuromorphic Camera Guided High Dynamic Range Imaging. 1727-1736 - Kai Xu, Minghai Qin, Fei Sun, Yuhao Wang, Yen-Kuang Chen, Fengbo Ren:
Learning in the Frequency Domain. 1737-1746 - Chenyang Lei, Xuhua Huang, Mengdi Zhang, Qiong Yan, Wenxiu Sun, Qifeng Chen:
Polarized Reflection Removal With Perfect Alignment in the Wild. 1747-1755 - Zan Gojcic, Caifa Zhou, Jan D. Wegner, Leonidas J. Guibas, Tolga Birdal:
Learning Multiview 3D Point Cloud Registration. 1756-1766 - Snehal Bhayani, Zuzana Kukelova, Janne Heikkilä:
A Sparse Resultant Based Method for Efficient Minimal Solvers. 1767-1776 - Chunle Guo, Chongyi Li, Jichang Guo, Chen Change Loy, Junhui Hou, Sam Kwong, Runmin Cong:
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement. 1777-1786 - Yao Yao, Zixin Luo, Shiwei Li, Jingyang Zhang, Yufan Ren, Lei Zhou, Tian Fang, Long Quan:
BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networks. 1787-1796 - Zhi-Hao Lin, Sheng-Yu Huang, Yu-Chiang Frank Wang:
Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis. 1797-1806 - Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu:
A Semi-Supervised Assessor of Neural Architectures. 1807-1816 - Zhouxia Wang, Jiawei Zhang, Mude Lin, Jiong Wang, Ping Luo, Jimmy S. J. Ren:
Learning a Reinforced Agent for Flexible Exposure Bracketing Selection. 1817-1825 - Zhaohui Yang, Yunhe Wang, Xinghao Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu:
CARS: Continuous Evolution for Efficient Neural Architecture Search. 1826-1835 - Dingfu Zhou, Jin Fang, Xibin Song, Liu Liu, Junbo Yin, Yuchao Dai, Hongdong Li, Ruigang Yang:
Joint 3D Instance Segmentation and Object Detection for Autonomous Driving. 1836-1846 - Xin Wei, Ruixuan Yu, Jian Sun:
View-GCN: View-Based Graph Convolutional Network for 3D Shape Analysis. 1847-1856 - Huan Wang, Yijun Li, Yuehai Wang, Haoji Hu, Ming-Hsuan Yang:
Collaborative Distillation for Ultra-Resolution Universal Style Transfer. 1857-1866 - Guangming Zang, Ramzi Idoughi, Congli Wang, Anthony Bennett, Jianguo Du, Scott Skeen, William L. Roberts, Peter Wonka, Wolfgang Heidrich:
TomoFluid: Reconstructing Dynamic Fluid From Sparse View Videos. 1867-1876 - Tianyu Wang, Xiaowei Hu, Qiong Wang, Pheng-Ann Heng, Chi-Wing Fu:
Instance Shadow Detection. 1877-1886 - Yuhui Quan, Mingqin Chen, Tongyao Pang, Hui Ji:
Self2Self With Dropout: Learning Self-Supervised Denoising From Single Image. 1887-1895 - Shangqian Gao, Feihu Huang, Jian Pei, Heng Huang:
Discrete Model Compression With Resource Constraint for Deep Neural Networks. 1896-1905 - Se Jung Kwon, Dongsoo Lee, Byeongwook Kim, Parichay Kapoor, Baeseong Park, Gu-Yeon Wei:
Structured Compression by Weight Encryption for Unstructured Pruning and Quantization. 1906-1915 - Lei Li, Siyu Zhu, Hongbo Fu, Ping Tan, Chiew-Lan Tai:
End-to-End Learning Local Multi-View Descriptors for 3D Point Clouds. 1916-1925 - Banglei Guan, Ji Zhao, Zhang Li, Fang Sun, Friedrich Fraundorfer:
Minimal Solutions for Relative Pose With a Single Affine Correspondence. 1926-1935 - Xin Wen, Tianyang Li, Zhizhong Han, Yu-Shen Liu:
Point Cloud Completion by Skip-Attention Network With Hierarchical Folding. 1936-1945 - Zehao Yu, Shenghua Gao:
Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement. 1946-1955 - Haofei Xu, Juyong Zhang:
AANet: Adaptive Aggregation Network for Efficient Stereo Matching. 1956-1965 - Feng Zhu, Ruihao Gong, Fengwei Yu, Xianglong Liu, Yanfei Wang, Zhelong Li, Xiuqi Yang, Junjie Yan:
Towards Unified INT8 Training for Convolutional Neural Network. 1966-1976 - Fumihiko Sakaue, Jun Sato:
Active 3D Motion Visualization Based on Spatiotemporal Light-Ray Integration. 1977-1985 - Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang:
Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation. 1986-1995 - Shan You, Tao Huang, Mingmin Yang, Fei Wang, Chen Qian, Changshui Zhang:
GreedyNAS: Towards Fast One-Shot NAS With Greedy Supernet. 1996-2005 - Yang He, Yuhang Ding, Ping Liu, Linchao Zhu, Hanwang Zhang, Yi Yang:
Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration. 2006-2015 - Shaohui Liu, Yinda Zhang, Songyou Peng, Boxin Shi, Marc Pollefeys, Zhaopeng Cui:
DIST: Rendering Deep Implicit Signed Distance Function With Differentiable Sphere Tracing. 2016-2025 - Yicun Liu, Jimmy S. Ren, Jiawei Zhang, Jianbo Liu, Mude Lin:
Visually Imbalanced Stereo Matching. 2026-2035 - Yuesong Wang, Tao Guan, Zhuo Chen, Yawei Luo, Keyang Luo, Lili Ju:
Mesh-Guided Multi-View Stereo With Pyramid Architecture. 2036-2045 - Ziwei Wang, Ziyi Wu, Jiwen Lu, Jie Zhou:
BiDet: An Efficient Binarized Object Detector. 2046-2055 - Shaifali Parashar, Mathieu Salzmann, Pascal Fua:
Local Non-Rigid Structure-From-Motion From Diffeomorphic Mappings. 2056-2064 - Nicolas Scheiner, Florian Kraus, Fangyin Wei, Buu Phan, Fahim Mannan, Nils Appenrodt, Werner Ritter, Jürgen Dickmann, Klaus Dietmayer, Bernhard Sick, Felix Heide:
Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar. 2065-2074 - Tianzhe Wang, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Hanrui Wang, Yujun Lin, Song Han:
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy. 2075-2084 - An Xu, Zhouyuan Huo, Heng Huang:
On the Acceleration of Deep Learning Model Parallelism With Staleness. 2085-2094 - Ji Hou, Angela Dai, Matthias Nießner:
RevealNet: Seeing Behind Objects in RGB-D Scans. 2095-2104 - Peiye Liu, Bo Wu, Huadong Ma, Mingoo Seok:
MemNAS: Memory-Efficient Neural Architecture Search With Grow-Trim Learning. 2105-2113 - Matthew Tancik, Ben Mildenhall, Ren Ng:
StegaStamp: Invisible Hyperlinks in Physical Photographs. 2114-2123 - Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen:
L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks. 2124-2132 - Kenichiro Tanaka, Yasuhiro Mukaigawa, Achuta Kadambi:
Polarized Non-Line-of-Sight Imaging. 2133-2142 - Qing Jin, Linjie Yang, Zhenyu Liao:
AdaBits: Neural Network Quantization With Adaptive Bit-Widths. 2143-2153 - Hang Dong, Jinshan Pan, Lei Xiang, Zhe Hu, Xinyi Zhang, Fei Wang, Ming-Hsuan Yang:
Multi-Scale Boosted Dehazing Network With Dense Feature Fusion. 2154-2164 - Jiahui Huang, Sheng Yang, Tai-Jiang Mu, Shi-Min Hu:
ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings. 2165-2174 - Haichuan Yang, Shupeng Gui, Yuhao Zhu, Ji Liu:
Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach. 2175-2185 - Uday Kusupati, Shuo Cheng, Rui Chen, Hao Su:
Normal Assisted Stereo Depth Estimation. 2186-2196 - Zhe Zhang, Chunyu Wang, Wenhu Qin, Wenjun Zeng:
Fusing Wearable IMUs With Multi-View Images for Human Pose Estimation: A Geometric Approach. 2197-2206 - Victor Fragoso, Joseph DeGol, Gang Hua:
gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors. 2207-2216 - Mihir Prabhudesai, Hsiao-Yu Fish Tung, Syed Ashar Javed, Maximilian Sieb, Adam W. Harley, Katerina Fragkiadaki:
Embodied Language Grounding With 3D Visual Feature Representations. 2217-2226 - Charles Herrmann, Richard Strong Bowen, Neal Wadhwa, Rahul Garg, Qiurui He, Jonathan T. Barron, Ramin Zabih:
Learning to Autofocus. 2227-2236 - Lin Liu, Xu Jia, Jianzhuang Liu, Qi Tian:
Joint Demosaicing and Denoising With Self Guidance. 2237-2246 - Haotong Qin, Ruihao Gong, Xianglong Liu, Mingzhu Shen, Ziran Wei, Fengwei Yu, Jingkuan Song:
Forward and Backward Information Retention for Accurate Binary Neural Networks. 2247-2256 - Jing Jin, Junhui Hou, Jie Chen, Sam Kwong:
Light Field Spatial Super-Resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization. 2257-2266 - Daniel Hernández Juárez, Sarah Parisot, Benjamin Busam, Ales Leonardis, Gregory G. Slabaugh, Steven McDonagh:
A Multi-Hypothesis Approach to Color Constancy. 2267-2277 - Ke Xu, Xin Yang, Baocai Yin, Rynson W. H. Lau:
Learning to Restore Low-Light Images via Decomposition-and-Enhancement. 2278-2287 - Soumyadip Sengupta, Vivek Jayaram, Brian Curless, Steven M. Seitz, Ira Kemelmacher-Shlizerman:
Background Matting: The World Is Your Green Screen. 2288-2297 - Huanjing Yue, Cong Cao, Lei Liao, Ronghe Chu, Jingyu Yang:
Supervised Raw Video Denoising With a Benchmark Dataset on Dynamic Scenes. 2298-2307 - Kenji Enomoto, Michael Waechter, Kiriakos N. Kutulakos, Yasuyuki Matsushita:
Photometric Stereo via Discrete Hypothesis-and-Test Search. 2308-2316 - Thomas Verelst, Tinne Tuytelaars:
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference. 2317-2326 - Xishan Zhang, Shaoli Liu, Rui Zhang, Chang Liu, Di Huang, Shiyi Zhou, Jiaming Guo, Qi Guo, Zidong Du, Tian Zhi, Yunji Chen:
Fixed-Point Back-Propagation Training. 2327-2335 - Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas:
Heterogeneous Knowledge Distillation Using Information Flow Modeling. 2336-2345 - Zhaowei Cai, Nuno Vasconcelos:
Rethinking Differentiable Search for Mixed-Precision Neural Networks. 2346-2355 - Jie Liu, Wenjie Zhang, Yuting Tang, Jie Tang, Gangshan Wu:
Residual Feature Aggregation Network for Image Super-Resolution. 2356-2365 - Le Yang, Yizeng Han, Xi Chen, Shiji Song, Jifeng Dai, Gao Huang:
Resolution Adaptive Networks for Efficient Inference. 2366-2375 - Sungyong Baik, Seokil Hong, Kyoung Mu Lee:
Learning to Forget for Meta-Learning. 2376-2384 - Yuesong Nan, Hui Ji:
Deep Learning for Handling Kernel/model Uncertainty in Image Deconvolution. 2385-2394 - Renjie Wan, Boxin Shi, Haoliang Li, Ling-Yu Duan, Alex C. Kot:
Reflection Scene Separation From a Single Image. 2395-2403 - Chenchi Luo, Yingmao Li, Kaimo Lin, George Chen, Seok-Jun Lee, Jihwan Choi, Youngjun Francis Yoo, Michael O. Polley:
Wavelet Synthesis Net for Disparity Estimation to Synthesize DSLR Calibre Bokeh Effect on Smartphones. 2404-2412 - Joseph Ortiz, Mark Pupilli, Stefan Leutenegger, Andrew J. Davison:
Bundle Adjustment on a Graph Processor. 2413-2422 - Malte Pedersen, Joakim Bruslund Haurum, Stefan Hein Bengtson, Thomas B. Moeslund:
3D-ZeF: A 3D Zebrafish Tracking Benchmark Dataset. 2423-2433 - Sachit Menon, Alexandru Damian, Shijia Hu, Nikhil Ravi, Cynthia Rudin:
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models. 2434-2442 - Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, Dragomir Anguelov:
Scalability in Perception for Autonomous Driving: Waymo Open Dataset. 2443-2451
Oral 1-3A: 3D From a Single Image and Shape-From-X (2); 3D From Multiview and Sensors (2)
- Zhenpei Yang, Siming Yan, Qixing Huang:
Extreme Relative Pose Network Under Hybrid Representations. 2452-2461 - Andreas Meuleman, Seung-Hwan Baek, Felix Heide, Min H. Kim:
Single-Shot Monocular RGB-D Imaging Using Uneven Double Refraction. 2462-2471 - Zhengqin Li, Mohammad Shafiei, Ravi Ramamoorthi, Kalyan Sunkavalli, Manmohan Chandraker:
Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF From a Single Image. 2472-2481 - Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Allan Raventos, Adrien Gaidon:
3D Packing for Self-Supervised Monocular Depth Estimation. 2482-2491 - Xiaodong Gu, Zhiwen Fan, Siyu Zhu, Zuozhuo Dai, Feitong Tan, Ping Tan:
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching. 2492-2501 - Cenek Albl, Zuzana Kukelova, Viktor Larsson, Michal Polic, Tomás Pajdla, Konrad Schindler:
From Two Rolling Shutters to One Global Shutter. 2502-2510 - Christopher B. Choy, Wei Dong, Vladlen Koltun:
Deep Global Registration. 2511-2520 - Shuo Cheng, Zexiang Xu, Shilin Zhu, Zhuwen Li, Li Erran Li, Ravi Ramamoorthi, Hao Su:
Deep Stereo Using Adaptive Thin Volume Representation With Uncertainty Awareness. 2521-2531 - Thomas Schöps, Viktor Larsson, Marc Pollefeys, Torsten Sattler:
Why Having 10, 000 Parameters in Your Camera Model Is Better Than Twelve. 2532-2541 - Mathieu Labussière, Céline Teulière, Frédéric Bernardin, Omar Ait-Aider:
Blur Aware Calibration of Multi-Focus Plenoptic Camera. 2542-2551 - Jinglei Shi, Xiaoran Jiang, Christine Guillemot:
Learning Fused Pixel and Feature-Based View Reconstructions for Light Fields. 2552-2561 - Matan Atzmon, Yaron Lipman:
SAL: Sign Agnostic Learning of Shapes From Raw Data. 2562-2571
Oral 1-3B: Image Retrieval; Datasets and Evaluation
- Tobias Weyand, André Araújo, Bingyi Cao, Jack Sim:
Google Landmarks Dataset v2 - A Large-Scale Benchmark for Instance-Level Recognition and Retrieval. 2572-2581 - Wenkai Dong, Zhaoxiang Zhang, Chunfeng Song, Tieniu Tan:
Instance Guided Proposal Network for Person Search. 2582-2591 - Yining Lang, Yuan He, Fan Yang, Jianfeng Dong, Hui Xue:
Which Is Plagiarism: Fashion Image Retrieval Based on Regional Representation for Design Protection. 2592-2601 - Zhiyi Cheng, Qi Dong, Shaogang Gong, Xiatian Zhu:
Inter-Task Association Critic for Cross-Resolution Person Re-Identification. 2602-2612 - Dian Shao, Yue Zhao, Bo Dai, Dahua Lin:
FineGym: A Hierarchical Video Dataset for Fine-Grained Action Understanding. 2613-2622 - Frederik Warburg, Søren Hauberg, Manuel López-Antequera, Pau Gargallo, Yubin Kuang, Javier Civera:
Mapillary Street-Level Sequences: A Dataset for Lifelong Place Recognition. 2623-2632 - Fisher Yu, Haofeng Chen, Xin Wang, Wenqi Xian, Yingying Chen, Fangchen Liu, Vashisht Madhavan, Trevor Darrell:
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning. 2633-2642 - Yun Liu, Yu-Huan Wu, Yunfeng Ban, Huifang Wang, Ming-Ming Cheng:
Rethinking Computer-Aided Tuberculosis Diagnosis. 2643-2652 - Xi Yang, Ding Xia, Taichi Kin, Takeo Igarashi:
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning. 2653-2663 - Sen Jia, Neil D. B. Bruce:
Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve. 2664-2673 - Ciprian A. Corneanu, Sergio Escalera, Aleix M. Martínez:
Computing the Testing Error Without a Testing Set. 2674-2682 - Zhizhong Li, Derek Hoiem:
Improving Confidence Estimates for Unfamiliar Examples. 2683-2692
Oral 1-3C: Low-Level and Physics-Based Vision
- Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
CycleISP: Real Image Restoration via Improved Data Synthesis. 2693-2702 - Xiaoming Li, Wenyu Li, Dongwei Ren, Hongzhi Zhang, Meng Wang, Wangmeng Zuo:
Enhanced Blind Face Restoration With Multi-Exemplar Images and Adaptive Spatial Feature Fusion. 2703-2712 - Yuval Bahat, Tomer Michaeli:
Explorable Super Resolution. 2713-2722 - Rajeev Yasarla, Vishwanath A. Sindagi, Vishal M. Patel:
Syn2Real Transfer Learning for Image Deraining Using Gaussian Processes. 2723-2733 - Kaihao Zhang, Wenhan Luo, Yiran Zhong, Lin Ma, Björn Stenger, Wei Liu, Hongdong Li:
Deblurring by Realistic Blurring. 2734-2743 - Ziyu Wan, Bo Zhang, Dongdong Chen, Pan Zhang, Dong Chen, Jing Liao, Fang Wen:
Bringing Old Photos Back to Life. 2744-2754 - Kaixuan Wei, Ying Fu, Jiaolong Yang, Hua Huang:
A Physics-Based Noise Formation Model for Extreme Low-Light Raw Denoising. 2755-2764 - S. Mohammad Mostafavi I., Jonghyun Choi, Kuk-Jin Yoon:
Learning to Super Resolve Intensity Images From Events. 2765-2773 - Deng-Ping Fan, Ge-Peng Ji, Guolei Sun, Ming-Ming Cheng, Jianbing Shen, Ling Shao:
Camouflaged Object Detection. 2774-2784
Poster 1-3P
- Nan Xue, Tianfu Wu, Song Bai, Fudong Wang, Gui-Song Xia, Liangpei Zhang, Philip H. S. Torr:
Holistically-Attracted Wireframe Parsing. 2785-2794 - Fuyang Zhang, Nelson Nauata, Yasutaka Furukawa:
Conv-MPN: Convolutional Message Passing Neural Network for Structured Outdoor Architecture Reconstruction. 2795-2804 - Yuanjie Shao, Lerenhan Li, Wenqi Ren, Changxin Gao, Nong Sang:
Domain Adaptation for Image Dehazing. 2805-2814 - Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao:
Auto-Encoding Twin-Bottleneck Hashing. 2815-2824 - Mang Tik Chiu, Xingqian Xu, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Hrant Khachatrian, Hovnatan Karapetyan, Ivan Dozier, Greg Rose, David Wilson, Adrian Tudor, Naira Hovakimyan, Thomas S. Huang, Honghui Shi:
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis. 2825-2835 - Wenkai Dong, Zhaoxiang Zhang, Chunfeng Song, Tieniu Tan:
Bi-Directional Interaction Network for Person Search. 2836-2845 - Abhishek Badki, Orazio Gallo, Jan Kautz, Pradeep Sen:
Meshlet Priors for 3D Mesh Reconstruction. 2846-2855 - Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita:
Space-Time-Aware Multi-Resolution Video Enhancement. 2856-2865 - Xiang Li, Tianhan Wei, Yau Pun Chen, Yu-Wing Tai, Chi-Keung Tang:
FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation. 2866-2875 - John Lambert, Zhuang Liu, Ozan Sener, James Hays, Vladlen Koltun:
MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation. 2876-2885 - Liming Jiang, Ren Li, Wayne Wu, Chen Qian, Chen Change Loy:
DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection. 2886-2895 - Yichao Yan, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Ying Tai, Ling Shao:
Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification. 2896-2905 - Jiahuan Zhou, Bing Su, Ying Wu:
Online Joint Multi-Metric Adaptation From Frequent Sharing-Subset Mining for Person Re-Identification. 2906-2915 - Deng-Ping Fan, Zheng Lin, Ge-Peng Ji, Dingwen Zhang, Huazhu Fu, Ming-Ming Cheng:
Taking a Deeper Look at Co-Salient Object Detection. 2916-2926 - Yinlin Hu, Pascal Fua, Wei Wang, Mathieu Salzmann:
Single-Stage 6D Object Pose Estimation. 2927-2936 - Lei Han, Tian Zheng, Lan Xu, Lu Fang:
OccuSeg: Occupancy-Aware 3D Instance Segmentation. 2937-2946 - Chang Chen, Zhiwei Xiong, Xiaoming Liu, Feng Wu:
Camera Trace Erasing. 2947-2956 - Wenzhao Zheng, Jiwen Lu, Jie Zhou:
Deep Metric Learning via Adaptive Learnable Assessment. 2957-2966 - Jialun Liu, Yifan Sun, Chuchu Han, Zhaopeng Dou, Wenhui Li:
Deep Representation Learning on Long-Tailed Data: A Learnable Embedding Augmentation Perspective. 2967-2976 - Ming Jiang, Shi Chen, Jinhui Yang, Qi Zhao:
Fantastic Answers and Where to Find Them: Immersive Question-Directed Visual Attention. 2977-2986 - Zhixuan Yu, Jae Shin Yoon, In Kyu Lee, Prashanth Venkatesh, Jaesik Park, Jihun Yu, Hyun Soo Park:
HUMBI: A Large Multiview Dataset of Human Body Expressions. 2987-2997 - Yanbei Chen, Shaogang Gong, Loris Bazzani:
Image Search With Text Feedback by Visiolinguistic Attention Learning. 2998-3008 - Jinjin Gu, Yujun Shen, Bolei Zhou:
Image Processing Using Multi-Code GAN Prior. 3009-3018 - Qian Zheng, Jinnan Chen, Zhan Lu, Boxin Shi, Xudong Jiang, Kim-Hui Yap, Ling-Yu Duan, Alex C. Kot:
What Does Plate Glass Reveal About Camera Calibration? 3019-3029 - Fudong Wang, Nan Xue, Jin-Gang Yu, Gui-Song Xia:
Zero-Assignment Constraint for Graph Matching With Outliers. 3030-3039 - Jinshan Pan, Haoran Bai, Jinhui Tang:
Cascaded Deep Video Deblurring Using Temporal Sharpness Prior. 3040-3048 - Keren Fu, Deng-Ping Fan, Ge-Peng Ji, Qijun Zhao:
JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection. 3049-3059 - Wenhan Yang, Shiqi Wang, Yuming Fang, Yue Wang, Jiaying Liu:
From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement. 3060-3069 - Lei Zhang, Jiangtao Nie, Wei Wei, Yanning Zhang, Shengcai Liao, Ling Shao:
Unsupervised Adaptation Learning for Hyperspectral Imagery Super-Resolution. 3070-3079 - Li Yuan, Tao Wang, Xiaopeng Zhang, Francis E. H. Tay, Zequn Jie, Wei Liu, Jiashi Feng:
Central Similarity Quantization for Efficient Image and Video Retrieval. 3080-3089 - Zeng Huang, Yuanlu Xu, Christoph Lassner, Hao Li, Tony Tung:
ARCH: Animatable Reconstruction of Clothed Humans. 3090-3099 - Hong Wang, Qi Xie, Qian Zhao, Deyu Meng:
A Model-Driven Deep Neural Network for Single Image Rain Removal. 3100-3109 - Mohamed El Banani, Jason J. Corso, David F. Fouhey:
Novel Object Viewpoint Estimation Through Reconstruction Alignment. 3110-3119 - Hengtong Hu, Lingxi Xie, Richang Hong, Qi Tian:
Creating Something From Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing. 3120-3129 - Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim:
Evaluating Weakly Supervised Object Localization Methods Right. 3130-3139 - Xin Jin, Cuiling Lan, Wenjun Zeng, Zhibo Chen, Li Zhang:
Style Normalization and Restitution for Generalizable Person Re-Identification. 3140-3149 - Ming Cai, Ian Reid:
Reconstruct Locally, Localize Globally: A Model Free Method for Object Pose Estimation. 3150-3160 - Matt Deitke, Winson Han, Alvaro Herrasti, Aniruddha Kembhavi, Eric Kolve, Roozbeh Mottaghi, Jordi Salvador, Dustin Schwenk, Eli VanderBilt, Matthew Wallingford, Luca Weihs, Mark Yatskar, Ali Farhadi:
RoboTHOR: An Open Simulation-to-Real Embodied AI Platform. 3161-3171 - Ruoteng Li, Robby T. Tan, Loong-Fah Cheong:
All in One Bad Weather Removal Using Architectural Search. 3172-3182 - Zhizheng Zhang, Cuiling Lan, Wenjun Zeng, Xin Jin, Zhibo Chen:
Relation-Aware Global Attention for Person Re-Identification. 3183-3192 - Shreyas Hampali, Mahdi Rad, Markus Oberweger, Vincent Lepetit:
HOnnotate: A Method for 3D Annotation of Hand and Object Poses. 3193-3203 - Yuezun Li, Xin Yang, Pu Sun, Honggang Qi, Siwei Lyu:
Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics. 3204-3213 - Kai Zhang, Luc Van Gool, Radu Timofte:
Deep Unfolding Network for Image Super-Resolution. 3214-3223 - Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia:
On the Uncertainty of Self-Supervised Monocular Depth Estimation. 3224-3234 - Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak:
Proxy Anchor Loss for Deep Metric Learning. 3235-3244 - Yunfei Liu, Yu Li, Shaodi You, Feng Lu:
Unsupervised Learning for Intrinsic Image Decomposition From a Single Image. 3245-3254 - Jin Xiao, Shuhang Gu, Lei Zhang:
Multi-Domain Learning for Accurate and Few-Shot Color Constancy. 3255-3264 - Xueyang Wang, Xiya Zhang, Yinheng Zhu, Yuchen Guo, Xiaoyun Yuan, Liuyu Xiang, Zerun Wang, Guiguang Ding, David J. Brady, Qionghai Dai, Lu Fang:
PANDA: A Gigapixel-Level Human-Centric Video Dataset. 3265-3275 - Long Chen, Haizhou Ai, Rui Chen, Zijie Zhuang, Shuang Liu:
Cross-View Tracking for Multi-Human 3D Pose Estimation at Over 100 FPS. 3276-3285 - Jinrui Yang, Wei-Shi Zheng, Qize Yang, Ying-Cong Chen, Qi Tian:
Spatial-Temporal Graph Convolutional Network for Video-Based Person Re-Identification. 3286-3296 - Xuesong Chen, Canmiao Fu, Yong Zhao, Feng Zheng, Jingkuan Song, Rongrong Ji, Yi Yang:
Salience-Guided Cascaded Suppression Network for Person Re-Identification. 3297-3307 - Yen-Liang Lin, Son Dinh Tran, Larry S. Davis:
Fashion Outfit Complementary Item Retrieval. 3308-3316 - Zhe Jiang, Yu Zhang, Dongqing Zou, Jimmy S. J. Ren, Jiancheng Lv, Yebin Liu:
Learning Event-Based Motion Deblurring. 3317-3326 - Yunhan Zhao, Shu Kong, Daeyun Shin, Charless C. Fowlkes:
Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation. 3327-3337 - Dongwei Ren, Kai Zhang, Qilong Wang, Qinghua Hu, Wangmeng Zuo:
Neural Blind Deconvolution Using Deep Priors. 3338-3347 - Jie Li, Kai Han, Peng Wang, Yu Liu, Xia Yuan:
Anisotropic Convolutional Networks for 3D Semantic Scene Completion. 3348-3356 - Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu:
TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution. 3357-3366 - Xiaoyu Xiang, Yapeng Tian, Yulun Zhang, Yun Fu, Jan P. Allebach, Chenliang Xu:
Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution. 3367-3376 - Hailiang Xu, Siqi Xie, Fan Chen:
Fast MSER. 3377-3386 - Yutian Lin, Lingxi Xie, Yu Wu, Chenggang Yan, Qi Tian:
Unsupervised Person Re-Identification via Softened Similarity Learning. 3387-3396 - Shijie Yu, Shihua Li, Dapeng Chen, Rui Zhao, Junjie Yan, Yu Qiao:
COCAS: A Large-Scale Clothes Changing Person Dataset for Re-Identification. 3397-3406 - Ruilong Li, Karl Bladin, Yajie Zhao, Chinmay Chinara, Owen Ingraham, Pengda Xiang, Xinglei Ren, Pratusha Prasad, Bipin Kishore, Jun Xing, Hao Li:
Learning Formation of Physically-Based Face Attributes. 3407-3416 - Young Kyun Jang, Nam Ik Cho:
Generalized Product Quantization Network for Semi-Supervised Image Retrieval. 3417-3426 - Xu Cao, Michael Waechter, Boxin Shi, Ye Gao, Bo Zheng, Yasuyuki Matsushita:
Stereoscopic Flash and No-Flash Photography for Shape and Albedo Recovery. 3427-3436 - Zhuowan Li, Quan Tran, Long Mai, Zhe Lin, Alan L. Yuille:
Context-Aware Group Captioning via Self-Attention and Contrastive Features. 3437-3447 - Chenyan Wu, Yukun Chen, Jiajia Luo, Che-Chun Su, Anuja Dawane, Bikramjot Hanzra, Zhuo Deng, Bilan Liu, James Z. Wang, Cheng-Hao Kuo:
MEBOW: Monocular Estimation of Body Orientation in the Wild. 3448-3458 - Ming Hong, Yuan Xie, Cuihua Li, Yanyun Qu:
Distilling Image Dehazing With Heterogeneous Task Imitation. 3459-3468 - Miao Zhang, Weisong Ren, Yongri Piao, Zhengkun Rong, Huchuan Lu:
Select, Supplement and Focus for RGB-D Saliency Detection. 3469-3478 - Yoonsik Kim, Jae Woong Soh, Gu Yong Park, Nam Ik Cho:
Transfer Learning From Synthetic to Real-Noise Denoising With Adaptive Instance Normalization. 3479-3489 - Carolin Schmitt, Simon Donné, Gernot Riegler, Vladlen Koltun, Andreas Geiger:
On Joint Estimation of Pose, Geometry and svBRDF From a Handheld Scanner. 3490-3500 - Michael Niemeyer, Lars M. Mescheder, Michael Oechsle, Andreas Geiger:
Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision. 3501-3512 - Jae Woong Soh, Sunwoo Cho, Nam Ik Cho:
Meta-Transfer Learning for Zero-Shot Super-Resolution. 3513-3522 - Dov Bridger, Dov Danon, Ayellet Tal:
Solving Jigsaw Puzzles With Eroded Boundaries. 3523-3532 - Qi Zhang, Zhen Lei, Zhaoxiang Zhang, Stan Z. Li:
Context-Aware Attention Network for Image-Text Retrieval. 3533-3542 - Jianping Lin, Dong Liu, Houqiang Li, Feng Wu:
M-LVC: Multiple Frames Prediction for Learned Video Compression. 3543-3551 - Yuan Yuan, Wei Su, Dandan Ma:
Efficient Dynamic Scene Deblurring Using Spatially Variant Deconvolution Network With Optical Flow Guided Training. 3552-3561 - Chao Li, Yixiao Yang, Kun He, Stephen Lin, John E. Hopcroft:
Single Image Reflection Removal Through Cascaded Refinement. 3562-3571 - Zhenqiang Ying, Haoran Niu, Praful Gupta, Dhruv Mahajan, Deepti Ghadiyaram, Alan C. Bovik:
From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality. 3572-3582 - Daniel Gehrig, Mathias Gehrig, Javier Hidalgo-Carrió, Davide Scaramuzza:
Video to Events: Recycling Video Datasets for Event Cameras. 3583-3592 - Mehrdad Hosseinzadeh, Yang Wang:
Composed Query Image Retrieval Using Locally Bounded Features. 3593-3602 - Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan:
Spatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring. 3603-3612 - Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Guoping Qiu:
End-to-End Illuminant Estimation Based on Deep Metric Learning. 3613-3622 - Yuesong Nan, Yuhui Quan, Hui Ji:
Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring. 3623-3632 - Bolun Zheng, Shanxin Yuan, Gregory G. Slabaugh, Ales Leonardis:
Image Demoireing with Learnable Bandpass Filters. 3633-3642 - Tai-Yin Chiu, Yinan Zhao, Danna Gurari:
Assessing Image Quality Issues for Real-World Problems. 3643-3653 - Haokui Zhang, Ying Li, Hao Chen, Chunhua Shen:
Memory-Efficient Hierarchical Neural Architecture Search for Image Denoising. 3654-3663 - Shaolin Su, Qingsen Yan, Yu Zhu, Cheng Zhang, Xin Ge, Jinqiu Sun, Yanning Zhang:
Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network. 3664-3673 - Yuming Fang, Hanwei Zhu, Yan Zeng, Kede Ma, Zhou Wang:
Perceptual Quality Assessment of Smartphone Photography. 3674-3683 - Haiyang Mei, Xin Yang, Yang Wang, Yuanyuan Liu, Shengfeng He, Qiang Zhang, Xiaopeng Wei, Rynson W. H. Lau:
Don't Hit Me! Glass Detection in Real-World Scenes. 3684-3693 - Jiaying Lin, Guodong Wang, Rynson W. H. Lau:
Progressive Mirror Detection. 3694-3702
Oral 1-4A: Scene Analysis and Understanding
- Xiaolong Li, He Wang, Li Yi, Leonidas J. Guibas, A. Lynn Abbott, Shuran Song:
Category-Level Articulated Object Pose Estimation. 3703-3712 - Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, Hanwang Zhang:
Unbiased Scene Graph Generation From Biased Training. 3713-3722 - Li Zhang, Dan Xu, Anurag Arnab, Philip H. S. Torr:
Dynamic Graph Message Passing Networks. 3723-3732 - Alireza Zareian, Svebor Karaman, Shih-Fu Chang:
Weakly Supervised Visual Semantic Parsing. 3733-3742 - Xin Lin, Changxing Ding, Jinquan Zeng, Dacheng Tao:
GPS-Net: Graph Property Sensing Network for Scene Graph Generation. 3743-3752 - Andrew Luo, Zhoutong Zhang, Jiajun Wu, Joshua B. Tenenbaum:
End-to-End Optimization of Scene Layout. 3753-3762 - Fei Pan, Inkyu Shin, François Rameau, Seokju Lee, In So Kweon:
Unsupervised Intra-Domain Adaptation for Semantic Segmentation Through Self-Supervision. 3763-3772 - Li Wang, Dong Li, Yousong Zhu, Lu Tian, Yi Shan:
Dual Super-Resolution Learning for Semantic Segmentation. 3773-3782 - Xiaohang Zhan, Xingang Pan, Bo Dai, Ziwei Liu, Dahua Lin, Chen Change Loy:
Self-Supervised Scene De-Occlusion. 3783-3791 - Yifeng Chen, Guangchen Lin, Songyuan Li, Omar El Farouk Bourahla, Yiming Wu, Fangfang Wang, Junyi Feng, Mingliang Xu, Xi Li:
BANet: Bidirectional Aggregation Network With Occlusion Handling for Panoptic Segmentation. 3792-3801
Oral 1-4B: Medical, Biological and Cell Microscopy
- Han Yang, Xingjian Zhen, Ying Chi, Lei Zhang, Xian-Sheng Hua:
CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries. 3802-3810 - Yuhang Liu, Fandong Zhang, Qianyi Zhang, Siwen Wang, Yizhou Wang, Yizhou Yu:
Cross-View Correspondence Reasoning Based on Bipartite Graph Convolutional Network for Mammogram Mass Detection. 3811-3821 - Junya Hayashida, Kazuya Nishimura, Ryoma Bise:
MPM: Joint Representation of Motion and Position Map for Cell Tracking. 3822-3831 - Yan Wang, Xu Wei, Fengze Liu, Jieneng Chen, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Deep Distance Transform for Tubular Structure Segmentation in CT Scans. 3832-3841 - Victor Kulikov, Victor S. Lempitsky:
Instance Segmentation of Biological Images Using Harmonic Embeddings. 3842-3850 - Noriaki Hashimoto, Daisuke Fukushima, Ryoichi Koga, Yusuke Takagi, Kaho Ko, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Hidekata Hontani, Ichiro Takeuchi:
Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images. 3851-3860 - Sam Maksoud, Kun Zhao, Peter Hobson, Anthony Jennings, Brian C. Lovell:
SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification. 3861-3870
Oral 1-4C: Transfer/Low-Shot/Semi/Unsupervised Learning (1)
- Sungjoon Choi, Sanghoon Hong, Kyungjae Lee, Sungbin Lim:
Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks. 3871-3880 - Da Zhang, Xiyang Dai, Yuan-Fang Wang:
METAL: Minimum Effort Temporal Activity Localization in Untrimmed Videos. 3881-3891 - Xi Yan, David Acuna, Sanja Fidler:
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data. 3892-3901 - Li Yuan, Francis E. H. Tay, Guilin Li, Tao Wang, Jiashi Feng:
Revisiting Knowledge Distillation via Label Smoothing Regularization. 3902-3910 - Liheng Zhang, Guo-Jun Qi:
WCP: Worst-Case Perturbations for Semi-Supervised Deep Learning. 3911-3920 - Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song:
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability. 3921-3929 - Davide Abati, Jakub Tomczak, Tijmen Blankevoort, Simone Calderara, Rita Cucchiara, Babak Ehteshami Bejnordi:
Conditional Channel Gated Networks for Task-Aware Continual Learning. 3930-3939 - Shuhao Cui, Shuhui Wang, Junbao Zhuo, Liang Li, Qingming Huang, Qi Tian:
Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under Label Insufficient Situations. 3940-3949
Poster 1-4P
- Dong Wang, Yuan Zhang, Kexin Zhang, Liwei Wang:
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection. 3950-3959 - Johanna Wald, Helisa Dhamo, Nassir Navab, Federico Tombari:
Learning 3D Semantic Scene Graphs From 3D Indoor Reconstructions. 3960-3969 - Siva Karthik Mustikovela, Varun Jampani, Shalini De Mello, Sifei Liu, Umar Iqbal, Carsten Rother, Jan Kautz:
Self-Supervised Viewpoint Learning From Image Collections. 3970-3980 - Mark Boss, Varun Jampani, Kihwan Kim, Hendrik P. A. Lensch, Jan Kautz:
Two-Shot Spatially-Varying BRDF and Shape Estimation. 3981-3990 - Zhitong Xiong, Yuan Yuan, Nianhui Guo, Qi Wang:
Variational Context-Deformable ConvNets for Indoor Scene Parsing. 3991-4001 - Qibin Hou, Li Zhang, Ming-Ming Cheng, Jiashi Feng:
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing. 4002-4011 - Qi Fan, Wei Zhuo, Chi-Keung Tang, Yu-Wing Tai:
Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector. 4012-4021 - Jiahua Dong, Yang Cong, Gan Sun, Bineng Zhong, Xiaowei Xu:
What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation. 4022-4031 - Qier Meng, Shin'ichi Satoh:
ADINet: Attribute Driven Incremental Network for Retinal Image Classification. 4032-4041 - Lanqing Hu, Meina Kan, Shiguang Shan, Xilin Chen:
Unsupervised Domain Adaptation With Hierarchical Gradient Synchronization. 4042-4051 - Zhiheng Li, Wenxuan Bao, Jiayang Zheng, Chenliang Xu:
Deep Grouping Model for Unified Perceptual Parsing. 4052-4062 - Yujiao Shi, Xin Yu, Dylan Campbell, Hongdong Li:
Where Am I Looking At? Joint Location and Orientation Estimation by Cross-View Matching. 4063-4071 - Xiangrui Zeng, Min Xu:
Gum-Net: Unsupervised Geometric Matching for Fast and Accurate 3D Subtomogram Image Alignment and Averaging. 4072-4083 - Yanchao Yang, Stefano Soatto:
FDA: Fourier Domain Adaptation for Semantic Segmentation. 4084-4094 - Zhuo Zheng, Yanfei Zhong, Junjue Wang, Ailong Ma:
Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery. 4095-4104 - Yen-Cheng Liu, Junjiao Tian, Nathaniel Glaser, Zsolt Kira:
When2com: Multi-Agent Perception via Communication Graph Grouping. 4105-4114 - Tiancai Wang, Tong Yang, Martin Danelljan, Fahad Shahbaz Khan, Xiangyu Zhang, Jian Sun:
Learning Human-Object Interaction Detection Using Interaction Points. 4115-4124 - Qihang Yu, Dong Yang, Holger Roth, Yutong Bai, Yixiao Zhang, Alan L. Yuille, Daguang Xu:
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation. 4125-4134 - Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi:
Adaptive Subspaces for Few-Shot Learning. 4135-4144 - Fa-Ting Hong, Weihong Li, Wei-Shi Zheng:
Learning to Detect Important People in Unlabelled Images for Semi-Supervised Important People Detection. 4145-4153 - Ying Chen, Chun-Guang Li, Chong You:
Stochastic Sparse Subspace Clustering. 4154-4163 - Weide Liu, Chi Zhang, Guosheng Lin, Fayao Liu:
CRNet: Cross-Reference Networks for Few-Shot Segmentation. 4164-4172 - Wanyu Lin, Zhaolin Gao, Baochun Li:
Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data. 4173-4181 - Paul Bergmann, Michael Fauser, David Sattlegger, Carsten Steger:
Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent Embeddings. 4182-4191 - Xiaokang Chen, Kwan-Yee Lin, Chen Qian, Gang Zeng, Hongsheng Li:
3D Sketch-Aware Semantic Scene Completion via Semi-Supervised Structure Prior. 4192-4201 - Peiwen Lin, Peng Sun, Guangliang Cheng, Sirui Xie, Xi Li, Jianping Shi:
Graph-Guided Architecture Search for Real-Time Semantic Segmentation. 4202-4211 - Debang Li, Junge Zhang, Kaiqi Huang, Ming-Hsuan Yang:
Composing Good Shots by Exploiting Mutual Relations. 4212-4221 - Dazhou Guo, Dakai Jin, Zhuotun Zhu, Tsung-Ying Ho, Adam P. Harrison, Chun-Hung Chao, Jing Xiao, Le Lu:
Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search. 4222-4231 - Wei Chen, Xi Jia, Hyung Jin Chang, Jinming Duan, Ales Leonardis:
G2L-Net: Global to Local Network for Real-Time 6D Pose Estimation With Embedding Vector Features. 4232-4241 - Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren O'Donnell, Heng Huang, Mei Chen, Weidong Cai:
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting. 4242-4251 - Nikita Araslanov, Stefan Roth:
Single-Stage Semantic Segmentation From Image Labels. 4252-4261 - Tianfei Zhou, Wenguan Wang, Siyuan Qi, Haibin Ling, Jianbing Shen:
Cascaded Human-Object Interaction Recognition. 4262-4271 - Bo Zhou, S. Kevin Zhou:
DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction With Deep T1 Prior. 4272-4281 - Junsong Fan, Zhaoxiang Zhang, Chunfeng Song, Tieniu Tan:
Learning Integral Objects With Intra-Class Discriminator for Weakly-Supervised Semantic Segmentation. 4282-4291 - Yiqun Lin, Zizheng Yan, Haibin Huang, Dong Du, Ligang Liu, Shuguang Cui, Xiaoguang Han:
FPConv: Learning Local Flattening for Point Convolution. 4292-4301 - Qin Yang, Chenglin Li, Wenrui Dai, Junni Zou, Guo-Jun Qi, Hongkai Xiong:
Rotation Equivariant Graph Convolutional Network for Spherical Image Classification. 4302-4311 - Hanchao Yu, Shanhui Sun, Haichao Yu, Xiao Chen, Honghui Shi, Thomas S. Huang, Terrence Chen:
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation. 4312-4322 - Sharon Fogel, Hadar Averbuch-Elor, Sarel Cohen, Shai Mazor, Roee Litman:
ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation. 4323-4332 - Fengmao Lv, Tao Liang, Xiang Chen, Guosheng Lin:
Cross-Domain Semantic Segmentation via Domain-Invariant Interactive Relation Transfer. 4333-4342 - Linchao Zhu, Yi Yang:
Inflated Episodic Memory With Region Self-Attention for Long-Tailed Visual Recognition. 4343-4352 - Osama Makansi, Özgün Çiçek, Kevin Buchicchio, Thomas Brox:
Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View With a Reachability Prior. 4353-4362 - Haifeng Xia, Zhengming Ding:
Structure Preserving Generative Cross-Domain Learning. 4363-4372 - Yifan Yang, Guorong Li, Zhe Wu, Li Su, Qingming Huang, Nicu Sebe:
Reverse Perspective Network for Perspective-Aware Object Counting. 4373-4382 - Jiacheng Wei, Guosheng Lin, Kim-Hui Yap, Tzu-Yi Hung, Lihua Xie:
Multi-Path Region Mining for Weakly Supervised 3D Semantic Segmentation on Point Clouds. 4383-4392 - Renjun Xu, Pelen Liu, Liyan Wang, Chao Chen, Jindong Wang:
Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation. 4393-4402 - Charles R. Qi, Xinlei Chen, Or Litany, Leonidas J. Guibas:
ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes. 4403-4412 - Buyu Liu, Bingbing Zhuang, Samuel Schulter, Pan Ji, Manmohan Chandraker:
Understanding Road Layout From Videos as a Whole. 4413-4422 - Zhiwei Hu, Guang Feng, Jiayu Sun, Lihe Zhang, Huchuan Lu:
Bi-Directional Relationship Inferring Network for Referring Image Segmentation. 4423-4432 - Yikai Li, Jiayuan Mao, Xiuming Zhang, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu:
Perspective Plane Program Induction From a Single Image. 4433-4442 - Jian Wang, Miaomiao Zhang:
DeepFLASH: An Efficient Network for Learning-Based Medical Image Registration. 4443-4451 - Yaxing Wang, Salman H. Khan, Abel Gonzalez-Garcia, Joost van de Weijer, Fahad Shahbaz Khan:
Semi-Supervised Learning for Few-Shot Image-to-Image Translation. 4452-4461 - Yanbin Liu, Linchao Zhu, Makoto Yamada, Yi Yang:
Semantic Correspondence as an Optimal Transport Problem. 4462-4471 - Camilo Fosco, Anelise Newman, Pat Sukhum, Yun Bin Zhang, Nanxuan Zhao, Aude Oliva, Zoya Bylinskii:
How Much Time Do You Have? Modeling Multi-Duration Saliency. 4472-4481 - Dat Huynh, Ehsan Elhamifar:
Fine-Grained Generalized Zero-Shot Learning via Dense Attribute-Based Attention. 4482-4492 - Zhenyu Zhang, Stéphane Lathuilière, Elisa Ricci, Nicu Sebe, Yan Yan, Jian Yang:
Online Depth Learning Against Forgetting in Monocular Videos. 4493-4502 - Lingjing Wang, Xiang Li, Yi Fang:
Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation. 4503-4512 - Ling Zhou, Zhen Cui, Chunyan Xu, Zhenyu Zhang, Chaoqun Wang, Tong Zhang, Jian Yang:
Pattern-Structure Diffusion for Multi-Task Learning. 4513-4522 - Zhen Wang, Guosheng Hu, Qinghua Hu:
Training Noise-Robust Deep Neural Networks via Meta-Learning. 4523-4532 - Jiazhao Zhang, Chenyang Zhu, Lintao Zheng, Kai Xu:
Fusion-Aware Point Convolution for Online Semantic 3D Scene Segmentation. 4533-4542 - Jogendra Nath Kundu, Naveen Venkat, Rahul M. V., R. Venkatesh Babu:
Universal Source-Free Domain Adaptation. 4543-4552 - Beibei Jin, Yu Hu, Qiankun Tang, Jingyu Niu, Zhiping Shi, Yinhe Han, Xiaowei Li:
Exploring Spatial-Temporal Multi-Frequency Analysis for High-Fidelity and Temporal-Consistency Video Prediction. 4553-4562 - Akshay Dudhane, Kuldeep Marotirao Biradar, Prashant W. Patil, Praful Hambarde, Subrahmanyam Murala:
Varicolored Image De-Hazing. 4563-4572 - Hanyu Shi, Guosheng Lin, Hao Wang, Tzu-Yi Hung, Zhenhua Wang:
SpSequenceNet: Semantic Segmentation Network on 4D Point Clouds. 4573-4582 - Tushar Sandhan, Jin Young Choi:
Separating Particulate Matter From a Single Microscopic Image. 4583-4592 - Shuai Bai, Zhiqun He, Yu Qiao, Hanzhe Hu, Wei Wu, Junjie Yan:
Adaptive Dilated Network With Self-Correction Supervision for Counting. 4593-4602 - Sourabh Vora, Alex H. Lang, Bassam Helou, Oscar Beijbom:
PointPainting: Sequential Fusion for 3D Object Detection. 4603-4611 - Biagio Brattoli, Joseph Tighe, Fedor Zhdanov, Pietro Perona, Krzysztof Chalupka:
Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications. 4612-4622 - Linjun Zhou, Peng Cui, Xu Jia, Shiqiang Yang, Qi Tian:
Learning to Select Base Classes for Few-Shot Classification. 4623-4632 - Florian Kluger, Eric Brachmann, Hanno Ackermann, Carsten Rother, Michael Ying Yang, Bodo Rosenhahn:
CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus. 4633-4642 - Tony C. W. Mok, Albert C. S. Chung:
Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks. 4643-4652 - Fabio Tosi, Filippo Aleotti, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Luigi Di Stefano, Stefano Mattoccia:
Distilled Semantics for Comprehensive Scene Understanding from Videos. 4653-4664 - Edward Kim, Jocelyn Rego, Yijing Watkins, Garrett T. Kenyon:
Modeling Biological Immunity to Adversarial Examples. 4665-4674 - Ashraful Islam, Chengjiang Long, Arslan Basharat, Anthony Hoogs:
DOA-GAN: Dual-Order Attentive Generative Adversarial Network for Image Copy-Move Forgery Detection and Localization. 4675-4684 - Sebastian Weiss, Robert Maier, Daniel Cremers, Rüdiger Westermann, Nils Thuerey:
Correspondence-Free Material Reconstruction using Sparse Surface Constraints. 4685-4694 - Shawn Mathew, Saad Nadeem, Sruti Kumari, Arie E. Kaufman:
Augmenting Colonoscopy Using Extended and Directional CycleGAN for Lossy Image Translation. 4695-4704 - Xiaoheng Jiang, Li Zhang, Mingliang Xu, Tianzhu Zhang, Pei Lv, Bing Zhou, Xin Yang, Yanwei Pang:
Attention Scaling for Crowd Counting. 4705-4714 - Jan Bednarík, Shaifali Parashar, Erhan Gündogdu, Mathieu Salzmann, Pascal Fua:
Shape Reconstruction by Learning Differentiable Surface Representations. 4715-4724 - Yuyu Guo, Lei Bi, Euijoon Ahn, Dagan Feng, Qian Wang, Jinman Kim:
A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image. 4725-4734 - Thilini Cooray, Ngai-Man Cheung, Wei Lu:
Attention-Based Context Aware Reasoning for Situation Recognition. 4735-4744 - Kamal Gupta, Saurabh Singh, Abhinav Shrivastava:
PatchVAE: Learning Local Latent Codes for Recognition. 4745-4754 - Adrian Johnston, Gustavo Carneiro:
Self-Supervised Monocular Trained Depth Estimation Using Self-Attention and Discrete Disparity Volume. 4755-4764 - Antigoni Tsiami, Petros Koutras, Petros Maragos:
STAViS: Spatio-Temporal AudioVisual Saliency Network. 4765-4775 - Yuanen Zhou, Meng Wang, Daqing Liu, Zhenzhen Hu, Hanwang Zhang:
More Grounded Image Captioning by Distilling Image-Text Matching Model. 4776-4785 - Deblina Bhattacharjee, Seungryong Kim, Guillaume Vizier, Mathieu Salzmann:
DUNIT: Detection-Based Unsupervised Image-to-Image Translation. 4786-4795 - Alan Dolhasz, Carlo Harvey, Ian Williams:
Learning to Observe: Approximating Human Perceptual Thresholds for Detection of Suprathreshold Image Transformations. 4796-4806 - Fawaz Sammani, Luke Melas-Kyriazi:
Show, Edit and Tell: A Framework for Editing Image Captions. 4807-4815 - Hong Joo Lee, Jung Uk Kim, Sangmin Lee, Hak Gu Kim, Yong Man Ro:
Structure Boundary Preserving Segmentation for Medical Image With Ambiguous Boundary. 4816-4825 - Lyujian Lu, Hua Wang, Saad Elbeleidy, Feiping Nie:
Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers. 4826-4835 - Yu Zhao, Fan Yang, Yuqi Fang, Hailing Liu, Niyun Zhou, Jun Zhang, Jiarui Sun, Sen Yang, Bjoern H. Menze, Xinjuan Fan, Jianhua Yao:
Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution. 4836-4845 - Xingtong Liu, Yiping Zheng, Benjamin Killeen, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath:
Extremely Dense Point Correspondences Using a Learned Feature Descriptor. 4846-4855
Oral 2-1A: 3D From Multiview and Sensors (3)
- Kyle Genova, Forrester Cole, Avneesh Sud, Aaron Sarna, Thomas A. Funkhouser:
Local Deep Implicit Functions for 3D Shape. 4856-4865 - Li Jiang, Hengshuang Zhao, Shaoshuai Shi, Shu Liu, Chi-Wing Fu, Jiaya Jia:
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation. 4866-4875 - Jiayu Yang, Wei Mao, José M. Álvarez, Miaomiao Liu:
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo. 4876-4885 - Silvan Weder, Johannes L. Schönberger, Marc Pollefeys, Martin R. Oswald:
RoutedFusion: Learning Real-Time Depth Map Fusion. 4886-4896 - Zhixiang Min, Yiding Yang, Enrique Dunn:
VOLDOR: Visual Odometry From Log-Logistic Dense Optical Flow Residuals. 4897-4908 - Yang Li, Aljaz Bozic, Tianwei Zhang, Yanli Ji, Tatsuya Harada, Matthias Nießner:
Learning to Optimize Non-Rigid Tracking. 4909-4917 - Lei Zhou, Zixin Luo, Tianwei Shen, Jiahui Zhang, Mingmin Zhen, Yao Yao, Tian Fang, Long Quan:
KFNet: Learning Temporal Camera Relocalization Using Kalman Filtering. 4918-4927 - Alejandro Fontán, Javier Civera, Rudolph Triebel:
Information-Driven Direct RGB-D Odometry. 4928-4936 - Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich:
SuperGlue: Learning Feature Matching With Graph Neural Networks. 4937-4946 - Aritra Bhowmik, Stefan Gumhold, Carsten Rother, Eric Brachmann:
Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task. 4947-4956
Oral 2-1B: Face, Gesture, and Body Pose (1)
- Wenbin Zhu, HsiangTao Wu, Zeyu Chen, Noranart Vesdapunt, Baoyuan Wang:
ReDA: Reinforced Differentiable Attribute for 3D Face Reconstruction. 4957-4966 - Lan Xu, Weipeng Xu, Vladislav Golyanik, Marc Habermann, Lu Fang, Christian Theobalt:
EventCap: Monocular 3D Capture of High-Speed Human Motions Using an Event Camera. 4967-4977 - Victoria Fernández Abrevaya, Adnane Boukhayma, Philip H. S. Torr, Edmond Boyer:
Cross-Modal Deep Face Normals With Deactivable Skip Connections. 4978-4988 - Dominik Kulon, Riza Alp Güler, Iasonas Kokkinos, Michael M. Bronstein, Stefanos Zafeiriou:
Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild. 4989-4999 - Lingzhi Li, Jianmin Bao, Ting Zhang, Hao Yang, Dong Chen, Fang Wen, Baining Guo:
Face X-Ray for More General Face Forgery Detection. 5000-5009 - William A. P. Smith, Alassane Seck, Hannah Dee, Bernard Tiddeman, Joshua B. Tenenbaum, Bernhard Egger:
A Morphable Face Albedo Model. 5010-5019 - Rongliang Wu, Gongjie Zhang, Shijian Lu, Tao Chen:
Cascade EF-GAN: Progressive Facial Expression Editing With Local Focuses. 5020-5029 - Enric Corona, Albert Pumarola, Guillem Alenyà, Francesc Moreno-Noguer, Grégory Rogez:
GanHand: Predicting Human Grasp Affordances in Multi-Object Scenes. 5030-5040 - Zezheng Wang, Zitong Yu, Chenxu Zhao, Xiangyu Zhu, Yunxiao Qin, Qiusheng Zhou, Feng Zhou, Zhen Lei:
Deep Spatial Gradient and Temporal Depth Learning for Face Anti-Spoofing. 5041-5050 - Marc Habermann, Weipeng Xu, Michael Zollhöfer, Gerard Pons-Moll, Christian Theobalt:
DeepCap: Monocular Human Performance Capture Using Weak Supervision. 5051-5062 - Ruixu Liu, Ju Shen, He Wang, Chen Chen, Sen-Ching S. Cheung, Vijayan K. Asari:
Attention Mechanism Exploits Temporal Contexts: Real-Time 3D Human Pose Reconstruction. 5063-5072 - Lingzhi Li, Jianmin Bao, Hao Yang, Dong Chen, Fang Wen:
Advancing High Fidelity Identity Swapping for Forgery Detection. 5073-5082
Oral 2-1C: Image and Video Synthesis (1)
- Yifang Men, Yiming Mao, Yuning Jiang, Wei-Ying Ma, Zhouhui Lian:
Controllable Person Image Synthesis With Attribute-Decomposed GAN. 5083-5092 - Yi Wang, Ying-Cong Chen, Xiangyu Zhang, Jian Sun, Jiaya Jia:
Attentive Normalization for Conditional Image Generation. 5093-5102 - Peihao Zhu, Rameen Abdal, Yipeng Qin, Peter Wonka:
SEAN: Image Synthesis With Semantic Region-Adaptive Normalization. 5103-5112 - Wang Shen, Wenbo Bao, Guangtao Zhai, Li Chen, Xiongkuo Min, Zhiyong Gao:
Blurry Video Frame Interpolation. 5113-5122 - Thomas Nestmeyer, Jean-François Lalonde, Iain A. Matthews, Andreas M. Lehrmann:
Learning Physics-Guided Face Relighting Under Directional Light. 5123-5132 - Yazeed Alharbi, Peter Wonka:
Disentangled Image Generation Through Structured Noise Injection. 5133-5141 - Pan Zhang, Bo Zhang, Dong Chen, Lu Yuan, Fang Wen:
Cross-Domain Correspondence Learning for Exemplar-Based Image Translation. 5142-5152 - Yu Deng, Jiaolong Yang, Dong Chen, Fang Wen, Xin Tong:
Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning. 5153-5162 - Soomin Kim, Yuchi Huo, Sung-Eui Yoon:
Single Image Reflection Removal With Physically-Based Training Images. 5163-5172 - Chengying Gao, Qi Liu, Qi Xu, Limin Wang, Jianzhuang Liu, Changqing Zou:
SketchyCOCO: Image Generation From Freehand Scene Sketches. 5173-5182 - Assaf Neuberger, Eran Borenstein, Bar Hilleli, Eduard Oks, Sharon Alpert:
Image Based Virtual Try-On Network From Unpaired Data. 5183-5192 - Wentao Jiang, Si Liu, Chen Gao, Jie Cao, Ran He, Jiashi Feng, Shuicheng Yan:
PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer. 5193-5201
Poster 2-1P
- Jiankang Deng, Jia Guo, Evangelos Ververas, Irene Kotsia, Stefanos Zafeiriou:
RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild. 5202-5211 - Helisa Dhamo, Azade Farshad, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari, Christian Rupprecht:
Semantic Image Manipulation Using Scene Graphs. 5212-5221 - Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould:
A Stochastic Conditioning Scheme for Diverse Human Motion Prediction. 5222-5231 - Artsiom Sanakoyeu, Vasil Khalidov, Maureen S. McCarthy, Andrea Vedaldi, Natalia Neverova:
Transferring Dense Pose to Proximal Animal Classes. 5232-5241 - Umar Iqbal, Pavlo Molchanov, Jan Kautz:
Weakly-Supervised 3D Human Pose Learning via Multi-View Images in the Wild. 5242-5251 - Muhammed Kocabas, Nikos Athanasiou, Michael J. Black:
VIBE: Video Inference for Human Body Pose and Shape Estimation. 5252-5262 - Yaohui Wang, Piotr Bilinski, François Brémond, Antitza Dantcheva:
G3AN: Disentangling Appearance and Motion for Video Generation. 5263-5272 - Ying-Cong Chen, Xiaogang Xu, Jiaya Jia:
Domain Adaptive Image-to-Image Translation. 5273-5282 - Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han:
GAN Compression: Efficient Architectures for Interactive Conditional GANs. 5283-5293 - Zitong Yu, Chenxu Zhao, Zezheng Wang, Yunxiao Qin, Zhuo Su, Xiaobai Li, Feng Zhou, Guoying Zhao:
Searching Central Difference Convolutional Networks for Face Anti-Spoofing. 5294-5304 - Zhuoqian Yang, Wentao Zhu, Wayne Wu, Chen Qian, Qiang Zhou, Bolei Zhou, Chen Change Loy:
TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting. 5305-5314 - Hyeongmin Lee, Taeoh Kim, Tae-Young Chung, Daehyun Pak, Yuseok Ban, Sangyoun Lee:
AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation. 5315-5324 - Jiangning Zhang, Xianfang Zeng, Mengmeng Wang, Yusu Pan, Liang Liu, Yong Liu, Yu Ding, Changjie Fan:
FReeNet: Multi-Identity Face Reenactment. 5325-5334 - Jae Shin Yoon, Kihwan Kim, Orazio Gallo, Hyun Soo Park, Jan Kautz:
Novel View Synthesis of Dynamic Scenes With Globally Coherent Depths From a Monocular Camera. 5335-5344 - Yuxiao Zhou, Marc Habermann, Weipeng Xu, Ikhsanul Habibie, Christian Theobalt, Feng Xu:
Monocular Real-Time Hand Shape and Motion Capture Using Multi-Modal Data. 5345-5354 - Garoe Dorta, Sara Vicente, Neill D. F. Campbell, Ivor J. A. Simpson:
The GAN That Warped: Semantic Attribute Editing With Unpaired Data. 5355-5364 - Aayush Bansal, Minh Vo, Yaser Sheikh, Deva Ramanan, Srinivasa G. Narasimhan:
4D Visualization of Dynamic Events From Unconstrained Multi-View Videos. 5365-5374 - Yongming Rao, Jiwen Lu, Jie Zhou:
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds. 5375-5384 - Bowen Cheng, Bin Xiao, Jingdong Wang, Honghui Shi, Thomas S. Huang, Lei Zhang:
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation. 5385-5394 - Eunji Chong, Yongxin Wang, Nataniel Ruiz, James M. Rehg:
Detecting Attended Visual Targets in Video. 5395-5405 - Yong Guo, Jian Chen, Jingdong Wang, Qi Chen, Jiezhang Cao, Zeshuai Deng, Yanwu Xu, Mingkui Tan:
Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution. 5406-5415 - Konstantinos Rematas, Vittorio Ferrari:
Neural Voxel Renderer: Learning an Accurate and Controllable Rendering Tool. 5416-5426 - Difan Liu, Mohamed Nabail, Aaron Hertzmann, Evangelos Kalogerakis:
Neural Contours: Learning to Draw Lines From 3D Shapes. 5427-5435 - Simon Niklaus, Feng Liu:
Softmax Splatting for Video Frame Interpolation. 5436-5445 - Maxim Maximov, Ismail Elezi, Laura Leal-Taixé:
CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks. 5446-5455 - Mang Ye, Jianbing Shen:
Probabilistic Structural Latent Representation for Unsupervised Embedding. 5456-5465 - Zhen Zhu, Zhiliang Xu, Ansheng You, Xiang Bai:
Semantically Multi-Modal Image Synthesis. 5466-5475 - Lingzhi Zhang, Jiancong Wang, Yinshuang Xu, Jie Min, Tarmily Wen, James C. Gee, Jianbo Shi:
Nested Scale-Editing for Conditional Image Synthesis. 5476-5486 - Wu Shi, Yu Qiao:
Fast Texture Synthesis via Pseudo Optimizer. 5497-5506 - Iacopo Masi, Joe Mathai, Wael AbdAlmageed:
Towards Learning Structure via Consensus for Face Segmentation and Parsing. 5507-5517 - Bin Zhu, Chong-Wah Ngo:
CookGAN: Causality Based Text-to-Image Synthesis. 5518-5526 - Hong-Xing Yu, Wei-Shi Zheng:
Weakly Supervised Discriminative Feature Learning With State Information for Person Identification. 5527-5537 - Yue Wu, Rongrong Gao, Jaesik Park, Qifeng Chen:
Future Video Synthesis With Object Motion Prediction. 5538-5547 - Cheng-Han Lee, Ziwei Liu, Lingyun Wu, Ping Luo:
MaskGAN: Towards Diverse and Interactive Facial Image Manipulation. 5548-5557 - Huu Le, Christopher Zach:
A Graduated Filter Method for Large Scale Robust Estimation. 5558-5567 - Cheng Ma, Zhenyu Jiang, Yongming Rao, Jiwen Lu, Jie Zhou:
Deep Face Super-Resolution With Iterative Collaboration Between Attentive Recovery and Landmark Estimation. 5568-5577 - Wen Jiang, Nikos Kolotouros, Georgios Pavlakos, Xiaowei Zhou, Kostas Daniilidis:
Coherent Reconstruction of Multiple Humans From a Single Image. 5578-5587 - Xu Yan, Chaoda Zheng, Zhen Li, Sheng Wang, Shuguang Cui:
PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling. 5588-5597 - Zhang Chen, Anpei Chen, Guli Zhang, Chengyuan Wang, Yu Ji, Kiriakos N. Kutulakos, Jingyi Yu:
A Neural Rendering Framework for Free-Viewpoint Relighting. 5598-5609 - Zhihao Chen, Lei Zhu, Liang Wan, Song Wang, Wei Feng, Pheng-Ann Heng:
A Multi-Task Mean Teacher for Semi-Supervised Shadow Detection. 5610-5619 - Yonghyun Kim, Wonpyo Park, Myung-Cheol Roh, Jongju Shin:
GroupFace: Learning Latent Groups and Constructing Group-Based Representations for Face Recognition. 5620-5629 - Xibin Song, Yuchao Dai, Dingfu Zhou, Liu Liu, Wei Li, Hongdong Li, Ruigang Yang:
Channel Attention Based Iterative Residual Learning for Depth Map Super-Resolution. 5630-5639 - Chia-Chi Cheng, Hung-Yu Chen, Wei-Chen Chiu:
Time Flies: Animating a Still Image With Time-Lapse Video As Reference. 5640-5649 - Philipp Terhörst, Jan Niklas Kolf, Naser Damer, Florian Kirchbuchner, Arjan Kuijper:
SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness. 5650-5659 - Qiangeng Xu, Xudong Sun, Cho-Ying Wu, Panqu Wang, Ulrich Neumann:
Grid-GCN for Fast and Scalable Point Cloud Learning. 5660-5669 - Dong Cao, Xiangyu Zhu, Xingyu Huang, Jianzhu Guo, Zhen Lei:
Domain Balancing: Face Recognition on Long-Tailed Domains. 5670-5678 - Chen Gao, Yunpeng Chen, Si Liu, Zhenxiong Tan, Shuicheng Yan:
AdversarialNAS: Adversarial Neural Architecture Search for GANs. 5679-5688 - Yiqun Mei, Yuchen Fan, Yuqian Zhou, Lichao Huang, Thomas S. Huang, Honghui Shi:
Image Super-Resolution With Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining. 5689-5698 - Junjie Huang, Zheng Zhu, Feng Guo, Guan Huang:
The Devil Is in the Details: Delving Into Unbiased Data Processing for Human Pose Estimation. 5699-5708 - Jie Chang, Zhonghao Lan, Changmao Cheng, Yichen Wei:
Data Uncertainty Learning in Face Recognition. 5709-5718 - Yi Liu, Guangchang Deng, Xiangping Zeng, Si Wu, Zhiwen Yu, Hau-San Wong:
Regularizing Discriminative Capability of CGANs for Semi-Supervised Generative Learning. 5719-5728 - Wenxuan Wang, Yanwei Fu, Xuelin Qian, Yu-Gang Jiang, Qi Tian, Xiangyang Xue:
FM2u-Net: Face Morphological Multi-Branch Network for Makeup-Invariant Face Verification. 5729-5739 - Lei Zhao, Qihang Mo, Sihuan Lin, Zhizhong Wang, Zhiwen Zuo, Haibo Chen, Wei Xing, Dongming Lu:
UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation. 5740-5749 - Jianbo Liu, Yongcheng Liu, Ying Wang, Véronique Prinet, Shiming Xiang, Chunhong Pan:
Decoupled Representation Learning for Skeleton-Based Gesture Recognition. 5750-5759 - Yuecong Min, Yanxiao Zhang, Xiujuan Chai, Xilin Chen:
An Efficient PointLSTM for Point Clouds Based Gesture Recognition. 5760-5769 - Edo Collins, Raja Bala, Bob Price, Sabine Süsstrunk:
Editing in Style: Uncovering the Local Semantics of GANs. 5770-5779 - Hao Dang, Feng Liu, Joel Stehouwer, Xiaoming Liu, Anil K. Jain:
On the Detection of Digital Face Manipulation. 5780-5789 - Fuzhi Yang, Huan Yang, Jianlong Fu, Hongtao Lu, Baining Guo:
Learning Texture Transformer Network for Image Super-Resolution. 5790-5799 - Junsoo Lee, Eungyeup Kim, Yunsung Lee, Dongjun Kim, Jaehyuk Chang, Jaegul Choo:
Reference-Based Sketch Image Colorization Using Augmented-Self Reference and Dense Semantic Correspondence. 5800-5809 - Adam Kaufman, Raanan Fattal:
Deblurring Using Analysis-Synthesis Networks Pair. 5810-5819 - Hyojin Bahng, Sunghyo Chung, Seungjoo Yoo, Jaegul Choo:
Exploring Unlabeled Faces for Novel Attribute Discovery. 5820-5829 - Jiashun Wang, Chao Wen, Yanwei Fu, Haitao Lin, Tianyun Zou, Xiangyang Xue, Yinda Zhang:
Neural Pose Transfer by Spatially Adaptive Instance Normalization. 5830-5838 - Wei Xiong, Yutong He, Yixuan Zhang, Wenhan Luo, Lin Ma, Jiebo Luo:
Fine-Grained Image-to-Image Transformation Towards Visual Recognition. 5839-5848 - Ziqian Bai, Zhaopeng Cui, Jamal Ahmed Rahim, Xiaoming Liu, Ping Tan:
Deep Facial Non-Rigid Multi-View Stereo. 5849-5859 - Prashanth Chandran, Derek Bradley, Markus Gross, Thabo Beeler:
Attention-Driven Cropping for Very High Resolution Facial Landmark Detection. 5860-5869 - Yiyi Liao, Katja Schwarz, Lars M. Mescheder, Andreas Geiger:
Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis. 5870-5879 - Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge J. Belongie, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger, Wei-Lun Chao:
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection. 5880-5889 - Jiangke Lin, Yi Yuan, Tianjia Shao, Kun Zhou:
Towards High-Fidelity 3D Face Reconstruction From In-the-Wild Images Using Graph Convolutional Networks. 5890-5899 - Yuge Huang, Yuhan Wang, Ying Tai, Xiaoming Liu, Pengcheng Shen, Shaoxin Li, Jilin Li, Feiyue Huang:
CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition. 5900-5909 - Hang Zhou, Jihao Liu, Ziwei Liu, Yu Liu, Xiaogang Wang:
Rotate-and-Render: Unsupervised Photorealistic Face Rotation From Single-View Images. 5910-5919 - Chao Yang, Ser-Nam Lim:
One-Shot Domain Adaptation for Face Generation. 5920-5929 - Yanwei Pang, Jing Nie, Jin Xie, Jungong Han, Xuelong Li:
BidNet: Binocular Image Dehazing Without Explicit Disparity Estimation. 5930-5939 - Peidong Liu, Zhaopeng Cui, Viktor Larsson, Marc Pollefeys:
Deep Shutter Unrolling Network. 5940-5948