---
title: "IEEE Computer Society Conference on Computer Vision and"
description: "All 2,077 papers of IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2022 · page 1 of 21, the most cited first…"
canonical: "https://research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2022/papers/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2022/papers/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [IEEE Computer Society Conference on…](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/) / [2022](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2022/) / papers

# IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2022: all accepted papers

2,077 papers · page 1 of 21 · the most cited first · [← IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2022](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2022/)

**1** [2](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2022/papers/page/2/) … [10](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2022/papers/page/10/) … [21](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2022/papers/page/21/) [next →](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2022/papers/page/2/)

1. **[High-Resolution Image Synthesis with Latent Diffusion Models ↗](https://doi.org/10.1109/cvpr52688.2022.01042)**Robin Rombach, Andreas Blattmann, Dominik Lorenz et al.*16,051 citations*
2. **[A ConvNet for the 2020s ↗](https://doi.org/10.1109/cvpr52688.2022.01167)**Zhuang Liu, Hanzi Mao, Chao-Yuan Wu et al.*8,300 citations*
3. **[Masked Autoencoders Are Scalable Vision Learners ↗](https://doi.org/10.1109/cvpr52688.2022.01553)**Kaiming He, Xinlei Chen, Saining Xie et al.*7,977 citations*
4. **[Restormer: Efficient Transformer for High-Resolution Image Restoration ↗](https://doi.org/10.1109/cvpr52688.2022.00564)**Syed Waqas Zamir, Aditya Arora, Salman Khan et al.*4,143 citations*
5. **[Masked-attention Mask Transformer for Universal Image Segmentation ↗](https://doi.org/10.1109/cvpr52688.2022.00135)**Bowen Cheng, Ishan Misra, Alexander Gerhard Schwing et al.*3,362 citations*
6. **[Swin Transformer V2: Scaling Up Capacity and Resolution ↗](https://doi.org/10.1109/cvpr52688.2022.01170)**Ze Liu, Han Hu, Yutong Lin et al.*2,484 citations*
7. **[Uformer: A General U-Shaped Transformer for Image Restoration ↗](https://doi.org/10.1109/cvpr52688.2022.01716)**Zhendong Wang, Xiaodong Cun, Jianmin Bao et al.*2,274 citations*
8. **[Video Swin Transformer ↗](https://doi.org/10.1109/cvpr52688.2022.00320)**Ze Liu, Jia Ning, Yue Cao et al.*2,148 citations*
9. **[Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields ↗](https://doi.org/10.1109/cvpr52688.2022.00539)**Jonathan T. Barron, Ben Mildenhall, Dor Verbin et al.*1,935 citations*
10. **[Conditional Prompt Learning for Vision-Language Models ↗](https://doi.org/10.1109/cvpr52688.2022.01631)**Kaiyang Zhou, Jingkang Yang, Chen Change Loy et al.*1,796 citations*
11. **[RePaint: Inpainting using Denoising Diffusion Probabilistic Models ↗](https://doi.org/10.1109/cvpr52688.2022.01117)**Andreas Lugmayr, Martin Danelljan, Andrés Romero et al.*1,697 citations*
12. **[Towards Total Recall in Industrial Anomaly Detection ↗](https://doi.org/10.1109/cvpr52688.2022.01392)**Karsten Roth, Latha Pemula, Joaquin Zepeda et al.*1,697 citations*
13. **[Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs ↗](https://doi.org/10.1109/cvpr52688.2022.01166)**Xiaohan Ding, Xiangyu Zhang, Jungong Han et al.*1,447 citations*
14. **[Plenoxels: Radiance Fields without Neural Networks ↗](https://doi.org/10.1109/cvpr52688.2022.00542)**Sara Fridovich-Keil, Alex Yu, Matthew Tancik et al.*1,388 citations*
15. **[CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows ↗](https://doi.org/10.1109/cvpr52688.2022.01181)**Xiaoyi Dong, Jianmin Bao, Dongdong Chen et al.*1,358 citations*
16. **[MetaFormer is Actually What You Need for Vision ↗](https://doi.org/10.1109/cvpr52688.2022.01055)**Weihao Yu, Mi Luo, Pan Zhou et al.*1,255 citations*
17. **[SimMIM: a Simple Framework for Masked Image Modeling ↗](https://doi.org/10.1109/cvpr52688.2022.00943)**Zhenda Xie, Zheng Zhang, Yue Cao et al.*1,255 citations*
18. **[Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection ↗](https://doi.org/10.1109/cvpr52688.2022.00571)**Jinyuan Liu, Xin Fan, Zhanbo Huang et al.*1,210 citations*
19. **[Toward Fast, Flexible, and Robust Low-Light Image Enhancement ↗](https://doi.org/10.1109/cvpr52688.2022.00555)**Long Ma, Tengyu Ma, Risheng Liu et al.*1,099 citations*
20. **[Efficient Geometry-aware 3D Generative Adversarial Networks ↗](https://doi.org/10.1109/cvpr52688.2022.01565)**Eric Ryan Chan, Connor Z. Lin, Matthew A. Chan et al.*1,093 citations*
21. **[Grounded Language-Image Pre-training ↗](https://doi.org/10.1109/cvpr52688.2022.01069)**Liunian Harold Li, Pengchuan Zhang, Haotian Zhang et al.*1,086 citations*
22. **[DN-DETR: Accelerate DETR Training by Introducing Query DeNoising ↗](https://doi.org/10.1109/cvpr52688.2022.01325)**Feng Li, Hao Zhang, Shilong Liu et al.*1,031 citations*
23. **[TrackFormer: Multi-Object Tracking with Transformers ↗](https://doi.org/10.1109/cvpr52688.2022.00864)**Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixé et al.*1,018 citations*
24. **[Vision Transformer with Deformable Attention ↗](https://doi.org/10.1109/cvpr52688.2022.00475)**Zhuofan Xia, Xuran Pan, Shiji Song et al.*974 citations*
25. **[Decoupled Knowledge Distillation ↗](https://doi.org/10.1109/cvpr52688.2022.01165)**Borui Zhao, Quan Cui, Renjie Song et al.*965 citations*
26. **[TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers ↗](https://doi.org/10.1109/cvpr52688.2022.00116)**Xuyang Bai, Zeyu Hu, Xinge Zhu et al.*951 citations*
27. **[CMT: Convolutional Neural Networks Meet Vision Transformers ↗](https://doi.org/10.1109/cvpr52688.2022.01186)**Jianyuan Guo, Kai Han, Han Wu et al.*939 citations*
28. **[Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction ↗](https://doi.org/10.1109/cvpr52688.2022.00538)**Cheng Guo Sun, Min Sun, Hwann-Tzong Chen*939 citations*
29. **[Anomaly Detection via Reverse Distillation from One-Class Embedding ↗](https://doi.org/10.1109/cvpr52688.2022.00951)**Hanqiu Deng, Xingyu Li*892 citations*
30. **[Scaling Vision Transformers ↗](https://doi.org/10.1109/cvpr52688.2022.01179)**Xiaohua Zhai, Alexander Kolesnikov, Neil Houlsby et al.*844 citations*
31. **[Depth-supervised NeRF: Fewer Views and Faster Training for Free ↗](https://doi.org/10.1109/cvpr52688.2022.01254)**Kangle Deng, Andrew Liu, Jun-Yan Zhu et al.*841 citations*
32. **[Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis ↗](https://doi.org/10.1109/cvpr52688.2022.02007)**Yucheng Tang, Dong Yang, Wenqi Li et al.*839 citations*
33. **[MixFormer: End-to-End Tracking with Iterative Mixed Attention ↗](https://doi.org/10.1109/cvpr52688.2022.01324)**Yutao Cui, Cheng Jiang, Limin Wang et al.*838 citations*
34. **[Revisiting Skeleton-based Action Recognition ↗](https://doi.org/10.1109/cvpr52688.2022.00298)**Haodong Duan, Yue Zhao, Kai Chen et al.*834 citations*
35. **[NICE-SLAM: Neural Implicit Scalable Encoding for SLAM ↗](https://doi.org/10.1109/cvpr52688.2022.01245)**Zihan Zhu, Songyou Peng, Viktor Larsson et al.*825 citations*
36. **[MViTv2: Improved Multiscale Vision Transformers for Classification and Detection ↗](https://doi.org/10.1109/cvpr52688.2022.00476)**Yanghao Li, Chao-Yuan Wu, Haoqi Fan et al.*812 citations*
37. **[URetinex-Net: Retinex-based Deep Unfolding Network for Low-light Image Enhancement ↗](https://doi.org/10.1109/cvpr52688.2022.00581)**Wenhui Wu, Jian Weng, Pingping Zhang et al.*809 citations*
38. **[Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling ↗](https://doi.org/10.1109/cvpr52688.2022.01871)**Xumin Yu, Lulu Tang, Yongming Rao et al.*801 citations*
39. **[Block-NeRF: Scalable Large Scene Neural View Synthesis ↗](https://doi.org/10.1109/cvpr52688.2022.00807)**Matthew Tancik, Vincent Casser, Xinchen Yan et al.*781 citations*
40. **[Learning to Prompt for Continual Learning ↗](https://doi.org/10.1109/cvpr52688.2022.00024)**Zifeng Wang, Zizhao Zhang, Chen‐Yu Lee et al.*778 citations*
41. **[Blended Diffusion for Text-driven Editing of Natural Images ↗](https://doi.org/10.1109/cvpr52688.2022.01767)**Omri Avrahami, Dani Lischinski, Ohad Fried*764 citations*
42. **[ISNet: Shape Matters for Infrared Small Target Detection ↗](https://doi.org/10.1109/cvpr52688.2022.00095)**Mingjin Zhang, Rui Zhang, Yuxiang Yang et al.*721 citations*
43. **[Vector Quantized Diffusion Model for Text-to-Image Synthesis ↗](https://doi.org/10.1109/cvpr52688.2022.01043)**Shuyang Gu, Dong Chen, Jianmin Bao et al.*692 citations*
44. **[SNR-Aware Low-light Image Enhancement ↗](https://doi.org/10.1109/cvpr52688.2022.01719)**Xiaogang Xu, Ruixing Wang, Chi‐Wing Fu et al.*688 citations*
45. **[Mobile-Former: Bridging MobileNet and Transformer ↗](https://doi.org/10.1109/cvpr52688.2022.00520)**Yinpeng Chen, Xiyang Dai, Dongdong Chen et al.*680 citations*
46. **[DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting ↗](https://doi.org/10.1109/cvpr52688.2022.01755)**Yongming Rao, Wenliang Zhao, Guangyi Chen et al.*631 citations*
47. **[Ego4D: Around the World in 3,000 Hours of Egocentric Video ↗](https://doi.org/10.1109/cvpr52688.2022.01842)**Kristen Grauman, Andrew Westbury, Eugene Byrne et al.*625 citations*
48. **[DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation ↗](https://doi.org/10.1109/cvpr52688.2022.00969)**Lukas Hoyer, Dengxin Dai, Luc Van Gool*622 citations*
49. **[MAXIM: Multi-Axis MLP for Image Processing ↗](https://doi.org/10.1109/cvpr52688.2022.00568)**Zhengzhong Tu, Hossein Talebi, Han Zhang et al.*616 citations*
50. **[RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs ↗](https://doi.org/10.1109/cvpr52688.2022.00540)**Michael Niemeyer, Jonathan T. Barron, Ben Mildenhall et al.*609 citations*
51. **[RegionCLIP: Region-based Language-Image Pretraining ↗](https://doi.org/10.1109/cvpr52688.2022.01629)**Yiwu Zhong, Jianwei Yang, Pengchuan Zhang et al.*595 citations*
52. **[AdaFace: Quality Adaptive Margin for Face Recognition ↗](https://doi.org/10.1109/cvpr52688.2022.01819)**Minchul Kim, Anil Kumar Jain, Xiaoming Liu*584 citations*
53. **[BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment ↗](https://doi.org/10.1109/cvpr52688.2022.00588)**Kelvin C. K. Chan, Shangchen Zhou, Xiangyu Xu et al.*583 citations*
54. **[QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection ↗](https://doi.org/10.1109/cvpr52688.2022.01330)**Chenhongyi Yang, Zehao Huang, Naiyan Wang*582 citations*
55. **[Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning ↗](https://doi.org/10.1109/cvpr52688.2022.01567)**Richard J. Chen, Chengkuan Chen, Yicong Li et al.*577 citations*
56. **[Generating Diverse and Natural 3D Human Motions from Text ↗](https://doi.org/10.1109/cvpr52688.2022.00509)**Chuan Guo, Shihao Zou, Xinxin Zuo et al.*575 citations*
57. **[Point-NeRF: Point-based Neural Radiance Fields ↗](https://doi.org/10.1109/cvpr52688.2022.00536)**Qiangeng Xu, Zexiang Xu, Julien Philip et al.*572 citations*
58. **[Masked Feature Prediction for Self-Supervised Visual Pre-Training ↗](https://doi.org/10.1109/cvpr52688.2022.01426)**Chen Wei, Haoqi Fan, Saining Xie et al.*571 citations*
59. **[DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection ↗](https://doi.org/10.1109/cvpr52688.2022.02067)**Haibao Yu, Yizhen Luo, Mao Shu et al.*569 citations*
60. **[Stratified Transformer for 3D Point Cloud Segmentation ↗](https://doi.org/10.1109/cvpr52688.2022.00831)**Xin Lai, Jianhui Liu, Li Jiang et al.*566 citations*
61. **[Image Segmentation Using Text and Image Prompts ↗](https://doi.org/10.1109/cvpr52688.2022.00695)**Timo Lüddecke, Alexander S. Ecker*562 citations*
62. **[DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection ↗](https://doi.org/10.1109/cvpr52688.2022.01667)**Yingwei Li, Adams Wei Yu, Tianjian Meng et al.*558 citations*
63. **[Oriented RepPoints for Aerial Object Detection ↗](https://doi.org/10.1109/cvpr52688.2022.00187)**Wentong Li, Yijie Chen, Kaixuan Hu et al.*556 citations*
64. **[FLAVA: A Foundational Language And Vision Alignment Model ↗](https://doi.org/10.1109/cvpr52688.2022.01519)**Amanpreet Singh, Ronghang Hu, Vedanuj Goswami et al.*554 citations*
65. **[Image Dehazing Transformer with Transmission-Aware 3D Position Embedding ↗](https://doi.org/10.1109/cvpr52688.2022.00572)**Chunle Guo, Qixin Yan, Saeed Anwar et al.*552 citations*
66. **[On the Integration of Self-Attention and Convolution ↗](https://doi.org/10.1109/cvpr52688.2022.00089)**Xuran Pan, Chunjiang Ge, Rui Lü et al.*552 citations*
67. **[DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation ↗](https://doi.org/10.1109/cvpr52688.2022.00246)**Gwanghyun Kim, Tae‐Sung Kwon, Jong Chul Ye*531 citations*
68. **[Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields ↗](https://doi.org/10.1109/cvpr52688.2022.00541)**Dor Verbin, Peter Hedman, Ben Mildenhall et al.*521 citations*
69. **[ST++: Make Self-trainingWork Better for Semi-supervised Semantic Segmentation ↗](https://doi.org/10.1109/cvpr52688.2022.00423)**Lihe Yang, Wei Zhuo, Lei Qi et al.*518 citations*
70. **[Geometric Transformer for Fast and Robust Point Cloud Registration ↗](https://doi.org/10.1109/cvpr52688.2022.01086)**Zheng Qin, Hao Yu, Changiian Wang et al.*505 citations*
71. **[Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels ↗](https://doi.org/10.1109/cvpr52688.2022.00421)**Yuchao Wang, Haochen Wang, Yujun Shen et al.*504 citations*
72. **[Continual Test-Time Domain Adaptation ↗](https://doi.org/10.1109/cvpr52688.2022.00706)**Qin Wang, Olga Fink, Luc Van Gool et al.*502 citations*
73. **[DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification ↗](https://doi.org/10.1109/cvpr52688.2022.01824)**Hongrun Zhang, Yanda Meng, Yitian Zhao et al.*484 citations*
74. **[Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection ↗](https://doi.org/10.1109/cvpr52688.2022.00220)**Youwei Pang, Xiaoqi Zhao, Tian-Zhu Xiang et al.*479 citations*
75. **[Detecting Deepfakes with Self-Blended Images ↗](https://doi.org/10.1109/cvpr52688.2022.01816)**Kaede Shiohara, Toshihiko Yamasaki*477 citations*
76. **[HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction ↗](https://doi.org/10.1109/cvpr52688.2022.00862)**Zikang Zhou, Luyao Ye, Jianping Wang et al.*460 citations*
77. **[MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation ↗](https://doi.org/10.1109/cvpr52688.2022.01280)**Wenhao Li, Hong Liu, Hao Tang et al.*458 citations*
78. **[GroupViT: Semantic Segmentation Emerges from Text Supervision ↗](https://doi.org/10.1109/cvpr52688.2022.01760)**Jiarui Xu, Shalini De Mello, Sifei Liu et al.*456 citations*
79. **[ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding ↗](https://doi.org/10.1109/cvpr52688.2022.00563)**Dailan He, Ziming Yang, Weikun Peng et al.*455 citations*
80. **[HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Video ↗](https://doi.org/10.1109/cvpr52688.2022.01573)**Chung-Yi Weng, Brian Curless, Pratul P. Srinivasan et al.*452 citations*
81. **[MAT: Mask-Aware Transformer for Large Hole Image Inpainting ↗](https://doi.org/10.1109/cvpr52688.2022.01049)**Wenbo Li, Zhe Lin, Kun Zhou et al.*449 citations*
82. **[InfoGCN: Representation Learning for Human Skeleton-based Action Recognition ↗](https://doi.org/10.1109/cvpr52688.2022.01955)**Hyung‐gun Chi, Myoung Hoon Ha, Seunggeun Chi et al.*446 citations*
83. **[PointCLIP: Point Cloud Understanding by CLIP ↗](https://doi.org/10.1109/cvpr52688.2022.00836)**Renrui Zhang, Ziyu Guo, Wei Zhang et al.*442 citations*
84. **[MaskGIT: Masked Generative Image Transformer ↗](https://doi.org/10.1109/cvpr52688.2022.01103)**Huiwen Chang, Han Zhang, Lu Jiang et al.*441 citations*
85. **[Transforming Model Prediction for Tracking ↗](https://doi.org/10.1109/cvpr52688.2022.00853)**Christoph Mayer, Martin Danelljan, Goutam Bhat et al.*434 citations*
86. **[All-In-One Image Restoration for Unknown Corruption ↗](https://doi.org/10.1109/cvpr52688.2022.01693)**Boyun Li, Xiao Liu, Peng Hu et al.*432 citations*
87. **[MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video ↗](https://doi.org/10.1109/cvpr52688.2022.01288)**Jinlu Zhang, Zhigang Tu, Jianyu Yang et al.*426 citations*
88. **[Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly- Throughs ↗](https://doi.org/10.1109/cvpr52688.2022.01258)**Haithem Turki, Deva Ramanan, Mahadev Satyanarayanan*423 citations*
89. **[Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds ↗](https://doi.org/10.1109/cvpr52688.2022.01838)**Yifan Zhang, Qingyong Hu, Guoquan Xu et al.*420 citations*
90. **[GMFlow: Learning Optical Flow via Global Matching ↗](https://doi.org/10.1109/cvpr52688.2022.00795)**Haofei Xu, Jing Zhang, Jianfei Cai et al.*418 citations*
91. **[TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions ↗](https://doi.org/10.1109/cvpr52688.2022.00239)**Jeya Maria Jose Valanarasu, Rajeev Yasarla, Vishal M. Patel*416 citations*
92. **[Robust fine-tuning of zero-shot models ↗](https://doi.org/10.1109/cvpr52688.2022.00780)**Mitchell Wortsman, Gabriel Ilharco, Jong Wook Kim et al.*408 citations*
93. **[LAVT: Language-Aware Vision Transformer for Referring Image Segmentation ↗](https://doi.org/10.1109/cvpr52688.2022.01762)**Zhao Yang, Jiaqi Wang, Yansong Tang et al.*406 citations*
94. **[CRIS: CLIP-Driven Referring Image Segmentation ↗](https://doi.org/10.1109/cvpr52688.2022.01139)**Zhaoqing Wang, Yu Lu, Qiang Li et al.*404 citations*
95. **[SimVP: Simpler yet Better Video Prediction ↗](https://doi.org/10.1109/cvpr52688.2022.00317)**Zhangyang Gao, Cheng Tan, Lirong Wu et al.*403 citations*
96. **[StyTr 2 : Image Style Transfer with Transformers ↗](https://doi.org/10.1109/cvpr52688.2022.01104)**Yingying Deng, Fan Tang, Weiming Dong et al.*402 citations*
97. **[End-to-End Reconstruction-Classification Learning for Face Forgery Detection ↗](https://doi.org/10.1109/cvpr52688.2022.00408)**Junyi Cao, Chao Ma, Taiping Yao et al.*398 citations*
98. **[Multi-level Feature Learning for Contrastive Multi-view Clustering ↗](https://doi.org/10.1109/cvpr52688.2022.01558)**Jie Xu, Huayi Tang, Yazhou Ren et al.*395 citations*
99. **[LiT: Zero-Shot Transfer with Locked-image text Tuning ↗](https://doi.org/10.1109/cvpr52688.2022.01759)**Xiaohua Zhai, Xiao Wang, Basil Mustafa et al.*388 citations*
100. **[Zero-Shot Text-Guided Object Generation with Dream Fields ↗](https://doi.org/10.1109/cvpr52688.2022.00094)**Ajay Jain, Ben Mildenhall, Jonathan T. Barron et al.*388 citations*

**1** [2](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2022/papers/page/2/) … [10](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2022/papers/page/10/) … [21](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2022/papers/page/21/) [next →](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2022/papers/page/2/)

- [← back to](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2022/) — IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2022