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ORCIDCVPR 2021
- IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021. Computer Vision Foundation / IEEE 2021
Papers
- Tianyu Wang, Xiaowei Hu, Chi-Wing Fu, Pheng-Ann Heng:
Single-Stage Instance Shadow Detection With Bidirectional Relation Learning. 1-11 - Minghua Liu, Minhyuk Sung, Radomír Mech, Hao Su:
DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes With Biharmonic Coordinates. 12-21 - Marie-Julie Rakotosaona, Paul Guerrero, Noam Aigerman, Niloy J. Mitra, Maks Ovsjanikov:
Learning Delaunay Surface Elements for Mesh Reconstruction. 22-31 - Bingbing Zhuang, Manmohan Chandraker:
Fusing the Old with the New: Learning Relative Camera Pose with Geometry-Guided Uncertainty. 32-42 - Ruoxi Shi, Zhengrong Xue
, Yang You, Cewu Lu:
Skeleton Merger: An Unsupervised Aligned Keypoint Detector. 43-52 - Wenfei Yang, Tianzhu Zhang, Xiaoyuan Yu, Qi Tian, Yongdong Zhang, Feng Wu:
Uncertainty Guided Collaborative Training for Weakly Supervised Temporal Action Detection. 53-63 - Shugao Ma, Tomas Simon, Jason M. Saragih, Dawei Wang, Yuecheng Li, Fernando De la Torre, Yaser Sheikh:
Pixel Codec Avatars. 64-73 - Bumsoo Kim, Junhyun Lee, Jaewoo Kang, Eun-Sol Kim, Hyunwoo J. Kim:
HOTR: End-to-End Human-Object Interaction Detection With Transformers. 74-83 - Bo Sun, Junchi Yan, Xiao Zhou, Yinqiang Zheng:
Tuning IR-Cut Filter for Illumination-Aware Spectral Reconstruction From RGB. 84-93 - Valentin Wolf, Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte:
DeFlow: Learning Complex Image Degradations From Unpaired Data With Conditional Flows. 94-103 - Peng Chen, Jing Liu, Bohan Zhuang, Mingkui Tan, Chunhua Shen:
AQD: Towards Accurate Quantized Object Detection. 104-113 - Wei Gao, Shangwei Guo, Tianwei Zhang, Han Qiu, Yonggang Wen, Yang Liu:
Privacy-Preserving Collaborative Learning With Automatic Transformation Search. 114-123 - Pei Wang, Yijun Li, Nuno Vasconcelos:
Rethinking and Improving the Robustness of Image Style Transfer. 124-133 - Jiaxin Cheng, Ayush Jaiswal, Yue Wu, Pradeep Natarajan, Prem Natarajan:
Style-Aware Normalized Loss for Improving Arbitrary Style Transfer. 134-143 - Youjiang Xu, Linchao Zhu, Lu Jiang, Yi Yang:
Faster Meta Update Strategy for Noise-Robust Deep Learning. 144-153 - Jindou Dai, Yuwei Wu, Zhi Gao, Yunde Jia:
A Hyperbolic-to-Hyperbolic Graph Convolutional Network. 154-163 - Jiangmiao Pang, Linlu Qiu, Xia Li, Haofeng Chen, Qi Li, Trevor Darrell, Fisher Yu:
Quasi-Dense Similarity Learning for Multiple Object Tracking. 164-173 - Chen Huang, Shuangfei Zhai, Pengsheng Guo, Josh M. Susskind:
MetricOpt: Learning To Optimize Black-Box Evaluation Metrics. 174-183 - Shipeng Wang, Xiaorong Li, Jian Sun, Zongben Xu:
Training Networks in Null Space of Feature Covariance for Continual Learning. 184-193 - Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Zhuowen Tu, Stefano Soatto:
Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning. 194-203 - Wei Yin, Jianming Zhang, Oliver Wang, Simon Niklaus, Long Mai, Simon Chen, Chunhua Shen:
Learning To Recover 3D Scene Shape From a Single Image. 204-213 - Yanwei Li, Hengshuang Zhao, Xiaojuan Qi, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia:
Fully Convolutional Networks for Panoptic Segmentation. 214-223 - Lei Li, Ke Gao, Juan Cao, Ziyao Huang, Yepeng Weng, Xiaoyue Mi, Zhengze Yu, Xiaoya Li, Boyang Xia:
Progressive Domain Expansion Network for Single Domain Generalization. 224-233 - Chaorui Deng, Shizhe Chen, Da Chen, Yuan He, Qi Wu:
Sketch, Ground, and Refine: Top-Down Dense Video Captioning. 234-243 - Chiho Choi, Joon Hee Choi, Jiachen Li, Srikanth Malla:
Shared Cross-Modal Trajectory Prediction for Autonomous Driving. 244-253 - Shenzhi Wang, Liwei Wu, Lei Cui, Yujun Shen:
Glancing at the Patch: Anomaly Localization With Global and Local Feature Comparison. 254-263 - Ji Liu, Dong Li, Rongzhang Zheng, Lu Tian, Yi Shan:
RankDetNet: Delving Into Ranking Constraints for Object Detection. 264-273 - Xingyuan Bu, Junran Peng, Junjie Yan, Tieniu Tan, Zhaoxiang Zhang:
GAIA: A Transfer Learning System of Object Detection That Fits Your Needs. 274-283 - Ruijie Yan, Liangrui Peng, Shanyu Xiao, Gang Yao:
Primitive Representation Learning for Scene Text Recognition. 284-293 - Lucas Tabelini Torres, Rodrigo Ferreira Berriel, Thiago M. Paixão, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos:
Keep Your Eyes on the Lane: Real-Time Attention-Guided Lane Detection. 294-302 - Zheng Ge, Songtao Liu, Zeming Li, Osamu Yoshie, Jian Sun:
OTA: Optimal Transport Assignment for Object Detection. 303-312 - Kai Fischer, Martin Simon, Florian Ölsner, Stefan Milz, Horst-Michael Gross, Patrick Mäder:
StickyPillars: Robust and Efficient Feature Matching on Point Clouds Using Graph Neural Networks. 313-323 - Yingjie Cai, Xuesong Chen, Chao Zhang, Kwan-Yee Lin, Xiaogang Wang, Hongsheng Li:
Semantic Scene Completion via Integrating Instances and Scene In-the-Loop. 324-333 - Zhenzhen Weng, Serena Yeung:
Holistic 3D Human and Scene Mesh Estimation From Single View Images. 334-343 - Ruihui Li, Xianzhi Li, Pheng-Ann Heng, Chi-Wing Fu:
Point Cloud Upsampling via Disentangled Refinement. 344-353 - Tong He, Chunhua Shen, Anton van den Hengel:
DyCo3D: Robust Instance Segmentation of 3D Point Clouds Through Dynamic Convolution. 354-363 - Ruibo Li, Guosheng Lin, Tong He, Fayao Liu, Chunhua Shen:
HCRF-Flow: Scene Flow From Point Clouds With Continuous High-Order CRFs and Position-Aware Flow Embedding. 364-373 - Yifan Wang, Shihao Wu, Cengiz Öztireli, Olga Sorkine-Hornung:
Iso-Points: Optimizing Neural Implicit Surfaces With Hybrid Representations. 374-383 - Gautam Pai, Jing Ren, Simone Melzi, Peter Wonka, Maks Ovsjanikov:
Fast Sinkhorn Filters: Using Matrix Scaling for Non-Rigid Shape Correspondence With Functional Maps. 384-393 - Yaqing Ding, Daniel Barath, Jian Yang, Hui Kong, Zuzana Kukelova:
Globally Optimal Relative Pose Estimation With Gravity Prior. 394-403 - Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotný, Andrea Vedaldi:
Discovering Relationships Between Object Categories via Universal Canonical Maps. 404-413 - Hugo Germain, Vincent Lepetit, Guillaume Bourmaud:
Neural Reprojection Error: Merging Feature Learning and Camera Pose Estimation. 414-423 - Seong Hun Lee, Javier Civera:
Rotation-Only Bundle Adjustment. 424-433 - Chaoyang Wang, Simon Lucey:
PAUL: Procrustean Autoencoder for Unsupervised Lifting. 434-443 - Kun Qian, Shilin Zhu, Xinyu Zhang, Li Erran Li:
Robust Multimodal Vehicle Detection in Foggy Weather Using Complementary Lidar and Radar Signals. 444-453 - Li Wang, Liang Du, Xiaoqing Ye, Yanwei Fu, Guodong Guo, Xiangyang Xue, Jianfeng Feng, Li Zhang:
Depth-Conditioned Dynamic Message Propagation for Monocular 3D Object Detection. 454-463 - Junting Pan, Siyu Chen, Mike Zheng Shou, Yu Liu, Jing Shao, Hongsheng Li:
Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization. 464-474 - Toby Perrett, Alessandro Masullo, Tilo Burghardt, Majid Mirmehdi, Dima Damen:
Temporal-Relational CrossTransformers for Few-Shot Action Recognition. 475-484 - Zhiwu Qing, Haisheng Su, Weihao Gan, Dongliang Wang, Wei Wu, Xiang Wang, Yu Qiao, Junjie Yan, Changxin Gao, Nong Sang:
Temporal Context Aggregation Network for Temporal Action Proposal Refinement. 485-494 - Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao:
Affordance Transfer Learning for Human-Object Interaction Detection. 495-504 - Mathieu Serrurier, Franck Mamalet, Alberto González-Sanz, Thibaut Boissin, Jean-Michel Loubes, Eustasio del Barrio:
Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization. 505-514 - Roi Pony, Itay Naeh, Shie Mannor:
Over-the-Air Adversarial Flickering Attacks Against Video Recognition Networks. 515-524 - Zhenguang Liu, Haoming Chen, Runyang Feng, Shuang Wu, Shouling Ji, Bailin Yang, Xun Wang:
Deep Dual Consecutive Network for Human Pose Estimation. 525-534 - Yang Hong, Juyong Zhang, Boyi Jiang, Yudong Guo, Ligang Liu, Hujun Bao:
StereoPIFu: Depth Aware Clothed Human Digitization via Stereo Vision. 535-545 - Jianfeng Zhang, Dongdong Yu, Jun Hao Liew, Xuecheng Nie, Jiashi Feng:
Body Meshes as Points. 546-556 - Qi Zhang, Wei Lin, Antoni B. Chan:
Cross-View Cross-Scene Multi-View Crowd Counting. 557-567 - Stefano d'Apolito, Danda Pani Paudel, Zhiwu Huang, Andrés Romero, Luc Van Gool:
GANmut: Learning Interpretable Conditional Space for Gamut of Emotions. 568-577 - Xingkun Xu, Yuge Huang, Pengcheng Shen, Shaoxin Li, Jilin Li, Feiyue Huang, Yong Li, Zhen Cui:
Consistent Instance False Positive Improves Fairness in Face Recognition. 578-586 - Yehansen Chen, Lin Wan, Zhihang Li, Qianyan Jing, Zongyuan Sun:
Neural Feature Search for RGB-Infrared Person Re-Identification. 587-597 - Anguo Zhang, Yueming Gao, Yuzhen Niu, Wenxi Liu, Yongcheng Zhou:
Coarse-To-Fine Person Re-Identification With Auxiliary-Domain Classification and Second-Order Information Bottleneck. 598-607 - Lin Wang, Yujeong Chae, Sung-Hoon Yoon, Tae-Kyun Kim, Kuk-Jin Yoon:
EvDistill: Asynchronous Events To End-Task Learning via Bidirectional Reconstruction-Guided Cross-Modal Knowledge Distillation. 608-619 - Shifeng Zhang, Chen Zhang, Ning Kang, Zhenguo Li:
iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression. 620-629 - Hongyi Zheng, Hongwei Yong, Lei Zhang:
Deep Convolutional Dictionary Learning for Image Denoising. 630-641 - Zongsheng Yue, Jianwen Xie, Qian Zhao, Deyu Meng:
Semi-Supervised Video Deraining With Dynamical Rain Generator. 642-652 - Jie Liang, Hui Zeng, Miaomiao Cui, Xuansong Xie, Lei Zhang:
PPR10K: A Large-Scale Portrait Photo Retouching Dataset With Human-Region Mask and Group-Level Consistency. 653-661 - Ruicheng Feng, Chongyi Li, Huaijin Chen, Shuai Li, Chen Change Loy, Jinwei Gu:
Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network. 662-671 - Tao Yang, Peiran Ren, Xuansong Xie, Lei Zhang:
GAN Prior Embedded Network for Blind Face Restoration in the Wild. 672-681 - Yoshiki Fukao, Ryo Kawahara, Shohei Nobuhara, Ko Nishino:
Polarimetric Normal Stereo. 682-690 - Younghyun Jo, Seon Joo Kim:
Practical Single-Image Super-Resolution Using Look-Up Table. 691-700 - Bowen Liu, Yu Chen, Shiyu Liu, Hun-Seok Kim:
Deep Learning in Latent Space for Video Prediction and Compression. 701-710 - Peibei Cao, Zhangyang Wang, Kede Ma:
Debiased Subjective Assessment of Real-World Image Enhancement. 711-721 - Abhinanda R. Punnakkal, Arjun Chandrasekaran, Nikos Athanasiou, Alejandra Quiros-Ramirez, Michael J. Black:
BABEL: Bodies, Action and Behavior With English Labels. 722-731 - Dongyoon Han, Sangdoo Yun, Byeongho Heo, Youngjoon Yoo:
Rethinking Channel Dimensions for Efficient Model Design. 732-741 - Sangyun Oh, Hyeonuk Sim, Sugil Lee, Jongeun Lee:
Automated Log-Scale Quantization for Low-Cost Deep Neural Networks. 742-751 - Xinshao Wang, Yang Hua, Elyor Kodirov, David A. Clifton, Neil M. Robertson:
ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks. 752-761 - Sharath Girish, Shishira R. Maiya, Kamal Gupta, Hao Chen, Larry S. Davis, Abhinav Shrivastava:
The Lottery Ticket Hypothesis for Object Recognition. 762-771 - Honggu Liu, Xiaodan Li, Wenbo Zhou, Yuefeng Chen, Yuan He, Hui Xue, Weiming Zhang, Nenghai Yu:
Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain. 772-781 - Hila Chefer, Shir Gur, Lior Wolf:
Transformer Interpretability Beyond Attention Visualization. 782-791 - Aditya Golatkar, Alessandro Achille, Avinash Ravichandran, Marzia Polito, Stefano Soatto:
Mixed-Privacy Forgetting in Deep Networks. 792-801 - Seungmin Lee, Dongwan Kim, Bohyung Han:
CoSMo: Content-Style Modulation for Image Retrieval With Text Feedback. 802-812 - Furong Xu, Meng Wang, Wei Zhang, Yuan Cheng, Wei Chu:
Discrimination-Aware Mechanism for Fine-Grained Representation Learning. 813-822 - Gaurav Parmar, Dacheng Li, Kwonjoon Lee, Zhuowen Tu:
Dual Contradistinctive Generative Autoencoder. 823-832 - Han Zhang, Jing Yu Koh, Jason Baldridge, Honglak Lee, Yinfei Yang:
Cross-Modal Contrastive Learning for Text-to-Image Generation. 833-842 - Chia-Ni Lu, Ya-Chu Chang, Wei-Chen Chiu:
Bridging the Visual Gap: Wide-Range Image Blending. 843-851 - Hyunsu Kim, Yunjey Choi, Junho Kim, Sungjoo Yoo, Youngjung Uh:
Exploiting Spatial Dimensions of Latent in GAN for Real-Time Image Editing. 852-861 - Jie An, Siyu Huang, Yibing Song, Dejing Dou, Wei Liu, Jiebo Luo:
ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows. 862-871 - Haibo Chen, Lei Zhao, Zhizhong Wang, Huiming Zhang, Zhiwen Zuo, Ailin Li, Wei Xing, Dongming Lu:
DualAST: Dual Style-Learning Networks for Artistic Style Transfer. 872-881 - Oran Gafni, Oron Ashual, Lior Wolf:
Single-Shot Freestyle Dance Reenactment. 882-891 - Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun:
SceneGen: Learning To Generate Realistic Traffic Scenes. 892-901 - Xinzhu Bei, Yanchao Yang, Stefano Soatto:
Learning Semantic-Aware Dynamics for Video Prediction. 902-912 - Jie Hong, Pengfei Fang, Weihao Li, Tong Zhang, Christian Simon, Mehrtash Harandi, Lars Petersson:
Reinforced Attention for Few-Shot Learning and Beyond. 913-923 - Piotr Dollár, Mannat Singh, Ross B. Girshick:
Fast and Accurate Model Scaling. 924-932 - Elijah Cole, Oisin Mac Aodha, Titouan Lorieul, Pietro Perona, Dan Morris, Nebojsa Jojic:
Multi-Label Learning From Single Positive Labels. 933-942 - Peng Wang, Kai Han, Xiu-Shen Wei, Lei Zhang, Lei Wang:
Contrastive Learning Based Hybrid Networks for Long-Tailed Image Classification. 943-952 - Muhammad Ferjad Naeem, Yongqin Xian, Federico Tombari, Zeynep Akata:
Learning Graph Embeddings for Compositional Zero-Shot Learning. 953-962 - Heng Guo, Fumio Okura, Boxin Shi, Takuya Funatomi, Yasuhiro Mukaigawa, Yasuyuki Matsushita:
Multispectral Photometric Stereo for Spatially-Varying Spectral Reflectances: A Well Posed Problem? 963-971 - Zhijie Deng, Xiao Yang, Shizhen Xu, Hang Su, Jun Zhu:
LiBRe: A Practical Bayesian Approach to Adversarial Detection. 972-982 - Sian-Yao Huang, Wei-Ta Chu:
Searching by Generating: Flexible and Efficient One-Shot NAS With Architecture Generator. 983-992 - Naoya Takahashi, Yuki Mitsufuji:
Densely Connected Multi-Dilated Convolutional Networks for Dense Prediction Tasks. 993-1002 - Joy Hsu, Wah Chiu, Serena Yeung:
DARCNN: Domain Adaptive Region-Based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images. 1003-1012 - Quande Liu, Cheng Chen, Jing Qin, Qi Dou, Pheng-Ann Heng:
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space. 1013-1023 - Zikai Zhang, Bineng Zhong, Shengping Zhang, Zhenjun Tang, Xin Liu, Zhaoxiang Zhang:
Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy. 1024-1033 - Sangryul Jeon, Dongbo Min, Seungryong Kim, Kwanghoon Sohn:
Mining Better Samples for Contrastive Learning of Temporal Correspondence. 1034-1044 - Kunming Luo, Chuan Wang, Shuaicheng Liu, Haoqiang Fan, Jue Wang, Jian Sun:
UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning. 1045-1054 - Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu:
KeepAugment: A Simple Information-Preserving Data Augmentation Approach. 1055-1064 - Shaobo Zhang, Wanqing Zhao, Ziyu Guan, Xianlin Peng, Jinye Peng:
Keypoint-Graph-Driven Learning Framework for Object Pose Estimation. 1065-1073