---
title: "ICCV 2021 — all accepted papers with summaries and citations"
description: "All 1,615 papers of ICCV 2021 · page 1 of 17, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/ieee-cvf-international-conference-on-computer-vision-iccv/2021/papers/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/ieee-cvf-international-conference-on-computer-vision-iccv/2021/papers/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [ICCV](https://md.research.elamur.ai/free/en/venues/ieee-cvf-international-conference-on-computer-vision-iccv/) / [2021](https://md.research.elamur.ai/free/en/venues/ieee-cvf-international-conference-on-computer-vision-iccv/2021/) / papers

# ICCV 2021: all accepted papers

1,615 papers · page 1 of 17 · the most cited first · [← ICCV 2021](https://md.research.elamur.ai/free/en/venues/ieee-cvf-international-conference-on-computer-vision-iccv/2021/)

**1** [2](https://md.research.elamur.ai/free/en/venues/ieee-cvf-international-conference-on-computer-vision-iccv/2021/papers/page/2/) … [10](https://md.research.elamur.ai/free/en/venues/ieee-cvf-international-conference-on-computer-vision-iccv/2021/papers/page/10/) … [17](https://md.research.elamur.ai/free/en/venues/ieee-cvf-international-conference-on-computer-vision-iccv/2021/papers/page/17/) [next →](https://md.research.elamur.ai/free/en/venues/ieee-cvf-international-conference-on-computer-vision-iccv/2021/papers/page/2/)

1. **[Swin Transformer: Hierarchical Vision Transformer using Shifted Windows](https://md.research.elamur.ai/free/en/papers/liu-2021-swin-transformer-hierarchical-vision-transformer/)**Ze Liu, Yutong Lin, Yue Cao et al.*33,262 citations · our summary*
2. **[Emerging Properties in Self-Supervised Vision Transformers](https://md.research.elamur.ai/free/en/papers/caron-2021-emerging-properties-self-supervised-vision/)**Mathilde Caron, Hugo Touvron, Ishan Misra et al.*5,690 citations · our summary*
3. **[Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions ↗](https://doi.org/10.1109/iccv48922.2021.00061)**Wenhai Wang, Enze Xie, Xiang Li et al.*4,926 citations*
4. **[ViViT: A Video Vision Transformer ↗](https://doi.org/10.1109/iccv48922.2021.00676)**Anurag Arnab, Mostafa Dehghani, Georg Heigold et al.*2,595 citations*
5. **[Point Transformer ↗](https://doi.org/10.1109/iccv48922.2021.01595)**Hengshuang Zhao, Li Jiang, Jiaya Jia et al.*2,476 citations*
6. **[CvT: Introducing Convolutions to Vision Transformers ↗](https://doi.org/10.1109/iccv48922.2021.00009)**Haiping Wu, Bin Xiao, Noel Codella et al.*2,444 citations*
7. **[Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet ↗](https://doi.org/10.1109/iccv48922.2021.00060)**Li Yuan, Yunpeng Chen, Tao Wang et al.*2,289 citations*
8. **[Vision Transformers for Dense Prediction ↗](https://doi.org/10.1109/iccv48922.2021.01196)**René Ranftl, Alexey Bochkovskiy, Vladlen Koltun*2,247 citations*
9. **[CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification ↗](https://doi.org/10.1109/iccv48922.2021.00041)**Chun-Fu Richard Chen, Quanfu Fan, Rameswar Panda*2,074 citations*
10. **[Segmenter: Transformer for Semantic Segmentation ↗](https://doi.org/10.1109/iccv48922.2021.00717)**Robin Strudel, Ricardo Alexandrino Garcia, Ivan Laptev A et al.*2,051 citations*
11. **[Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields ↗](https://doi.org/10.1109/iccv48922.2021.00580)**Jonathan T. Barron, Ben Mildenhall, Matthew Tancik et al.*1,921 citations*
12. **[An Empirical Study of Training Self-Supervised Vision Transformers ↗](https://doi.org/10.1109/iccv48922.2021.00950)**Xinlei Chen, Saining Xie, Kaiming He*1,566 citations*
13. **[TOOD: Task-aligned One-stage Object Detection ↗](https://doi.org/10.1109/iccv48922.2021.00349)**Cheng Feng, Yujie Zhong, Yu Gao et al.*1,477 citations*
14. **[FcaNet: Frequency Channel Attention Networks ↗](https://doi.org/10.1109/iccv48922.2021.00082)**Zequn Qin, Pengyi Zhang, Fei Qing Wu et al.*1,367 citations*
15. **[Oriented R-CNN for Object Detection ↗](https://doi.org/10.1109/iccv48922.2021.00350)**Xingxing Xie, Gong Cheng, Jiabao Wang et al.*1,351 citations*
16. **[Multiscale Vision Transformers ↗](https://doi.org/10.1109/iccv48922.2021.00675)**Haoqi Fan, Bo Xiong, Karttikeya Mangalam et al.*1,308 citations*
17. **[Learning Spatio-Temporal Transformer for Visual Tracking ↗](https://doi.org/10.1109/iccv48922.2021.01028)**Bin Yan, Houwen Peng, Jianlong Fu et al.*1,200 citations*
18. **[The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization ↗](https://doi.org/10.1109/iccv48922.2021.00823)**Dan Hendrycks, Steven Basart, Norman Mu et al.*1,167 citations*
19. **[TransReID: Transformer-based Object Re-Identification ↗](https://doi.org/10.1109/iccv48922.2021.01474)**Shuting He, Hao Luo, Pichao Wang et al.*1,166 citations*
20. **[Going deeper with Image Transformers ↗](https://doi.org/10.1109/iccv48922.2021.00010)**Hugo Touvron, Matthieu Cord, Alexandre Sablayrolles et al.*1,145 citations*
21. **[Nerfies: Deformable Neural Radiance Fields ↗](https://doi.org/10.1109/iccv48922.2021.00581)**Keunhong Park, Utkarsh Sinha, Jonathan T. Barron et al.*1,059 citations*
22. **[Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition ↗](https://doi.org/10.1109/iccv48922.2021.01311)**Yuxin Chen, Ziqi Zhang, Chunfeng Yuan et al.*1,039 citations*
23. **[DRÆM – A discriminatively trained reconstruction embedding for surface anomaly detection ↗](https://doi.org/10.1109/iccv48922.2021.00822)**Vitjan Zavrtanik, Matej Kristan, Danijel Skočaj*1,039 citations*
24. **[StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery ↗](https://doi.org/10.1109/iccv48922.2021.00209)**Or Patashnik, Zongze Wu, Eli Shechtman et al.*1,023 citations*
25. **[Conditional DETR for Fast Training Convergence ↗](https://doi.org/10.1109/iccv48922.2021.00363)**Depu Meng, Xiaokang Chen, Zejia Fan et al.*995 citations*
26. **[MUSIQ: Multi-scale Image Quality Transformer ↗](https://doi.org/10.1109/iccv48922.2021.00510)**Junjie Ke, Qifei Wang, Yilin Wang et al.*966 citations*
27. **[LeViT: a Vision Transformer in ConvNet’s Clothing for Faster Inference ↗](https://doi.org/10.1109/iccv48922.2021.01204)**Benjamin Graham, Alaaeldin El-Nouby, Hugo Touvron et al.*869 citations*
28. **[PlenOctrees for Real-time Rendering of Neural Radiance Fields ↗](https://doi.org/10.1109/iccv48922.2021.00570)**Alex Yu, Ruilong Li, Matthew Tancik et al.*854 citations*
29. **[Conformer: Local Features Coupling Global Representations for Visual Recognition ↗](https://doi.org/10.1109/iccv48922.2021.00042)**Zhiliang Peng, Wei Feng Huang, Shanzhi Gu et al.*827 citations*
30. **[Rethinking Coarse-to-Fine Approach in Single Image Deblurring ↗](https://doi.org/10.1109/iccv48922.2021.00460)**Sung‐Jin Cho, Seo-Won Ji, Jun-Pyo Hong et al.*798 citations*
31. **[MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo ↗](https://doi.org/10.1109/iccv48922.2021.01386)**Anpei Chen, Zexiang Xu, Fuqiang Zhao et al.*797 citations*
32. **[Designing a Practical Degradation Model for Deep Blind Image Super-Resolution ↗](https://doi.org/10.1109/iccv48922.2021.00475)**Kai Zhang, Jingyun Liang, Luc Van Gool et al.*760 citations*
33. **[MDETR - Modulated Detection for End-to-End Multi-Modal Understanding ↗](https://doi.org/10.1109/iccv48922.2021.00180)**Aishwarya Kamath, Mannat Singh, Yann LeCun et al.*729 citations*
34. **[3D Human Pose Estimation with Spatial and Temporal Transformers ↗](https://doi.org/10.1109/iccv48922.2021.01145)**Ce Zheng, Sijie Zhu, Matías Mendieta et al.*711 citations*
35. **[iMAP: Implicit Mapping and Positioning in Real-Time ↗](https://doi.org/10.1109/iccv48922.2021.00617)**Edgar Sucar, Shikun Liu, Joseph Ortiz et al.*670 citations*
36. **[KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs ↗](https://doi.org/10.1109/iccv48922.2021.01407)**Christian Reiser, Songyou Peng, Yiyi Liao et al.*668 citations*
37. **[Asymmetric Loss For Multi-Label Classification ↗](https://doi.org/10.1109/iccv48922.2021.00015)**Tal Ridnik, Emanuel Ben-Baruch, Nadav Zamir et al.*660 citations*
38. **[Big Self-Supervised Models Advance Medical Image Classification ↗](https://doi.org/10.1109/iccv48922.2021.00346)**Shekoofeh Azizi, Basil Mustafa, Fiona Ryan et al.*651 citations*
39. **[Rethinking Spatial Dimensions of Vision Transformers ↗](https://doi.org/10.1109/iccv48922.2021.01172)**Byeongho Heo, Sangdoo Yun, Dongyoon Han et al.*640 citations*
40. **[ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models ↗](https://doi.org/10.1109/iccv48922.2021.01410)**Jooyoung Choi, Sungwon Kim, Yonghyun Jeong et al.*634 citations*
41. **[AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting ↗](https://doi.org/10.1109/iccv48922.2021.00967)**Ye Yuan, Xinshuo Weng, Yanglan Ou et al.*631 citations*
42. **[BARF: Bundle-Adjusting Neural Radiance Fields ↗](https://doi.org/10.1109/iccv48922.2021.00569)**Chen-Hsuan Lin, Wei-Chiu Ma, Antonio B. Torralba et al.*628 citations*
43. **[UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction ↗](https://doi.org/10.1109/iccv48922.2021.00554)**Michael Oechsle, Songyou Peng, Andreas Geiger*622 citations*
44. **[Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks ↗](https://doi.org/10.1109/iccv48922.2021.00266)**Wei Fang, Zhaofei Yu, Yanqi Chen et al.*605 citations*
45. **[Incorporating Convolution Designs into Visual Transformers ↗](https://doi.org/10.1109/iccv48922.2021.00062)**Kun Yuan, Shaopeng Guo, Ziwei Liu et al.*576 citations*
46. **[End-to-End Semi-Supervised Object Detection with Soft Teacher ↗](https://doi.org/10.1109/iccv48922.2021.00305)**Mengde Xu, Zheng Zhang, Han Hu et al.*565 citations*
47. **[Exploring Cross-Image Pixel Contrast for Semantic Segmentation ↗](https://doi.org/10.1109/iccv48922.2021.00721)**Wenguan Wang, Tianfei Zhou, Fisher Yu et al.*564 citations*
48. **[Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset ↗](https://doi.org/10.1109/iccv48922.2021.00957)**Scott M. Ettinger, Shuyang Cheng, Benjamin Caine et al.*559 citations*
49. **[Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning ↗](https://doi.org/10.1109/iccv48922.2021.00493)**Yu Tian, Guansong Pang, Yuanhong Chen et al.*557 citations*
50. **[ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding ↗](https://doi.org/10.1109/iccv48922.2021.01059)**Christos Sakaridis, Dengxin Dai, Luc Van Gool*551 citations*
51. **[AI Choreographer: Music Conditioned 3D Dance Generation with AIST++ ↗](https://doi.org/10.1109/iccv48922.2021.01315)**Ruilong Li, Shan Yang, David A. Ross et al.*549 citations*
52. **[Visual Saliency Transformer ↗](https://doi.org/10.1109/iccv48922.2021.00468)**Nian Liu, Ni Zhang, Kaiyuan Wan et al.*549 citations*
53. **[PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers ↗](https://doi.org/10.1109/iccv48922.2021.01227)**Xumin Yu, Yongming Rao, Ziyi Wang et al.*544 citations*
54. **[FastNeRF: High-Fidelity Neural Rendering at 200FPS ↗](https://doi.org/10.1109/iccv48922.2021.01408)**Stephan J. Garbin, Marek Kowalski, Matthew Johnson et al.*541 citations*
55. **[Voxel Transformer for 3D Object Detection ↗](https://doi.org/10.1109/iccv48922.2021.00315)**Jiageng Mao, Yujing Xue, Minzhe Niu et al.*517 citations*
56. **[DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets ↗](https://doi.org/10.1109/iccv48922.2021.01502)**Junru Gu, Chen Sun, Hang Zhao*501 citations*
57. **[Pixel Difference Networks for Efficient Edge Detection ↗](https://doi.org/10.1109/iccv48922.2021.00507)**Zhuo Su, Wenzhe Liu, Zitong Yu et al.*500 citations*
58. **[An End-to-End Transformer Model for 3D Object Detection ↗](https://doi.org/10.1109/iccv48922.2021.00290)**Ishan Misra, Rohit Girdhar, Armand Joulin*499 citations*
59. **[Action-Conditioned 3D Human Motion Synthesis with Transformer VAE ↗](https://doi.org/10.1109/iccv48922.2021.01080)**Mathis Petrovich, Michael J. Black, Gül Varol*493 citations*
60. **[Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning ↗](https://doi.org/10.1109/iccv48922.2021.00893)**Yinbo Chen, Zhuang Liu, Huijuan Xu et al.*466 citations*
61. **[GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition ↗](https://doi.org/10.1109/iccv48922.2021.00391)**Shih-Cheng Huang, Liyue Shen, Matthew P. Lungren et al.*464 citations*
62. **[Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis ↗](https://doi.org/10.1109/iccv48922.2021.00583)**Ajay Jain, Matthew Tancik, Pieter Abbeel*463 citations*
63. **[Focal Frequency Loss for Image Reconstruction and Synthesis ↗](https://doi.org/10.1109/iccv48922.2021.01366)**Liming Jiang, Bo Dai, Wayne Wu et al.*459 citations*
64. **[Channel-wise Knowledge Distillation for Dense Prediction ↗](https://doi.org/10.1109/iccv48922.2021.00526)**Changyong Shu, Yifan Liu, Jianfei Gao et al.*452 citations*
65. **[Baking Neural Radiance Fields for Real-Time View Synthesis ↗](https://doi.org/10.1109/iccv48922.2021.00582)**Peter Hedman, Pratul P. Srinivasan, Ben Mildenhall et al.*451 citations*
66. **[NeRD: Neural Reflectance Decomposition from Image Collections ↗](https://doi.org/10.1109/iccv48922.2021.01245)**Mark Boss, Raphael Braun, Varun Jampani et al.*438 citations*
67. **[Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video ↗](https://doi.org/10.1109/iccv48922.2021.01272)**Edgar Tretschk, Ayush Tewari, Vladislav Golyanik et al.*432 citations*
68. **[Dynamic DETR: End-to-End Object Detection with Dynamic Attention ↗](https://doi.org/10.1109/iccv48922.2021.00298)**Xiyang Dai, Yinpeng Chen, Jianwei Yang et al.*429 citations*
69. **[Invisible Backdoor Attack with Sample-Specific Triggers ↗](https://doi.org/10.1109/iccv48922.2021.01615)**Yuezun Li, Yiming Li, Baoyuan Wu et al.*423 citations*
70. **[AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer ↗](https://doi.org/10.1109/iccv48922.2021.00658)**Songhua Liu, Tianwei Lin, Dongliang He et al.*420 citations*
71. **[3D Shape Generation and Completion through Point-Voxel Diffusion ↗](https://doi.org/10.1109/iccv48922.2021.00577)**Linqi Zhou, Yilun Du, Jiajun Wu*419 citations*
72. **[TokenPose: Learning Keypoint Tokens for Human Pose Estimation ↗](https://doi.org/10.1109/iccv48922.2021.01112)**Yanjie Li, Shoukui Zhang, Zhicheng Wang et al.*419 citations*
73. **[TransPose: Keypoint Localization via Transformer ↗](https://doi.org/10.1109/iccv48922.2021.01159)**Sen Yang, Zhibin Quan, Mu Nie et al.*418 citations*
74. **[PARE: Part Attention Regressor for 3D Human Body Estimation ↗](https://doi.org/10.1109/iccv48922.2021.01094)**Muhammed Kocabas, Chun-Hao P. Huang, Otmar Hilliges et al.*417 citations*
75. **[Understanding Robustness of Transformers for Image Classification ↗](https://doi.org/10.1109/iccv48922.2021.01007)**Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Gläsner et al.*406 citations*
76. **[In-Place Scene Labelling and Understanding with Implicit Scene Representation ↗](https://doi.org/10.1109/iccv48922.2021.01554)**Shuaifeng Zhi, Tristan Laidlow, Stefan Leutenegger et al.*396 citations*
77. **[Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies ↗](https://doi.org/10.1109/iccv48922.2021.01405)**Sida Peng, Junting Dong, Qianqian Wang et al.*387 citations*
78. **[DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection ↗](https://doi.org/10.1109/iccv48922.2021.00856)**Limeng Qiao, Yuxuan Zhao, Zhiyuan Li et al.*387 citations*
79. **[With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations ↗](https://doi.org/10.1109/iccv48922.2021.00945)**Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson et al.*383 citations*
80. **[Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework ↗](https://doi.org/10.1109/iccv48922.2021.00335)**Qingyu Song, Changan Wang, Zhengkai Jiang et al.*381 citations*
81. **[Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification ↗](https://doi.org/10.1109/iccv48922.2021.00106)**Yongming Rao, Guangyi Chen, Jiwen Lu et al.*380 citations*
82. **[Learning Target Candidate Association to Keep Track of What Not to Track ↗](https://doi.org/10.1109/iccv48922.2021.01319)**Christoph Mayer, Martin Danelljan, Danda Pani Paudel et al.*376 citations*
83. **[Channel Augmented Joint Learning for Visible-Infrared Recognition ↗](https://doi.org/10.1109/iccv48922.2021.01331)**Mang Ye, Weijian Ruan, Bo Du et al.*375 citations*
84. **[Co-Scale Conv-Attentional Image Transformers ↗](https://doi.org/10.1109/iccv48922.2021.00983)**Weijian Xu, Yifan Xu, Tyler A. Chang et al.*375 citations*
85. **[AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis ↗](https://doi.org/10.1109/iccv48922.2021.00573)**Yudong Guo, Keyu Chen, Sen Liang et al.*374 citations*
86. **[TransVG: End-to-End Visual Grounding with Transformers ↗](https://doi.org/10.1109/iccv48922.2021.00179)**Jiajun Deng, Zhengyuan Yang, Tianlang Chen et al.*372 citations*
87. **[Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images ↗](https://doi.org/10.1109/iccv48922.2021.00398)**Richard J. Chen, Ming Y. Lu, Wei‐Hung Weng et al.*371 citations*
88. **[Rethinking and Improving Relative Position Encoding for Vision Transformer ↗](https://doi.org/10.1109/iccv48922.2021.00988)**Kan Wu, Houwen Peng, Minghao Chen et al.*371 citations*
89. **[Learning to Estimate Hidden Motions with Global Motion Aggregation ↗](https://doi.org/10.1109/iccv48922.2021.00963)**Shihao Jiang, Dylan Campbell, Yao Lu et al.*365 citations*
90. **[Learning Self-Consistency for Deepfake Detection ↗](https://doi.org/10.1109/iccv48922.2021.01475)**Tianchen Zhao, Xiang Xu, Mingze Xu et al.*363 citations*
91. **[TAM: Temporal Adaptive Module for Video Recognition ↗](https://doi.org/10.1109/iccv48922.2021.01345)**Zhaoyang Liu, Limin Wang, Wayne Wu et al.*358 citations*
92. **[HiNet: Deep Image Hiding by Invertible Network ↗](https://doi.org/10.1109/iccv48922.2021.00469)**Junpeng Jing, Xin Deng, Mai Xu et al.*356 citations*
93. **[Rethinking Transformer-based Set Prediction for Object Detection ↗](https://doi.org/10.1109/iccv48922.2021.00359)**Zhiqing Sun, Shengcao Cao, Yiming Yang et al.*356 citations*
94. **[Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction ↗](https://doi.org/10.1109/iccv48922.2021.01072)**Jeremy Reizenstein, Roman Shapovalov, Philipp Henzler et al.*352 citations*
95. **[CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution ↗](https://doi.org/10.1109/iccv48922.2021.00375)**Lizhe Liu, Xiaohao Chen, Siyu Zhu et al.*346 citations*
96. **[Dynamic View Synthesis from Dynamic Monocular Video ↗](https://doi.org/10.1109/iccv48922.2021.00566)**Chen Gao, Ayush Saraf, Johannes Kopf et al.*346 citations*
97. **[Fast Convergence of DETR with Spatially Modulated Co-Attention ↗](https://doi.org/10.1109/iccv48922.2021.00360)**Peng Gao, Minghang Zheng, Xiaogang Wang et al.*345 citations*
98. **[Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding ↗](https://doi.org/10.1109/iccv48922.2021.01073)**Mike Roberts, Jason Ramapuram, Anurag Ranjan et al.*344 citations*
99. **[SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer ↗](https://doi.org/10.1109/iccv48922.2021.00545)**Xiang Fang Peng, Xin Wen, Yu-Shen Liu et al.*344 citations*
100. **[PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop ↗](https://doi.org/10.1109/iccv48922.2021.01125)**Hongwen Zhang, Yating Tian, Xinchi Zhou et al.*341 citations*

**1** [2](https://md.research.elamur.ai/free/en/venues/ieee-cvf-international-conference-on-computer-vision-iccv/2021/papers/page/2/) … [10](https://md.research.elamur.ai/free/en/venues/ieee-cvf-international-conference-on-computer-vision-iccv/2021/papers/page/10/) … [17](https://md.research.elamur.ai/free/en/venues/ieee-cvf-international-conference-on-computer-vision-iccv/2021/papers/page/17/) [next →](https://md.research.elamur.ai/free/en/venues/ieee-cvf-international-conference-on-computer-vision-iccv/2021/papers/page/2/)

- [← back to](https://md.research.elamur.ai/free/en/venues/ieee-cvf-international-conference-on-computer-vision-iccv/2021/) — ICCV 2021
