---
title: "IEEE Computer Society Conference on Computer Vision and"
description: "IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2022 — accepted papers: 1 paper in the Elamur Research…"
canonical: "https://research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2022/"
---
[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/)

[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

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

IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2022 is the 2022 edition of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (publisher: Institute of Electrical and Electronics Engineers). OpenAlex lists 2,077 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**2,077** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2022/#works) · [**751** citations of these works](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2022/#works)

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

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*

## All accepted papers (2,077)

The most cited first; 1 with our summary link to their page here, the others to the original.

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*

[See all 2,077 papers in IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2022 — accepted papers →](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2022/papers/)

## Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. **[Reproducible scaling laws for contrastive language-image learning](https://md.research.elamur.ai/free/en/papers/cherti-2022-reproducible-scaling-laws-contrastive-language/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Mehdi Cherti, Romain Beaumont, Ross Wightman, et al.*2022 · 751 citations*

## Fields

[Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Cade Gordon**1 work here · 751 citations](https://md.research.elamur.ai/free/en/authors/cade-gordon/) · [🧑‍🔬**Christoph Schuhmann**1 work here · 751 citations](https://md.research.elamur.ai/free/en/authors/christoph-schuhmann/) · [🧑‍🔬**Gabriel Ilharco**1 work here · 751 citations](https://md.research.elamur.ai/free/en/authors/gabriel-ilharco/) · [🧑‍🔬**Jenia Jitsev**1 work here · 751 citations](https://md.research.elamur.ai/free/en/authors/jenia-jitsev/) · [🧑‍🔬**Ludwig Schmidt**1 work here · 751 citations](https://md.research.elamur.ai/free/en/authors/ludwig-schmidt/) · [🧑‍🔬**Mehdi Cherti**1 work here · 751 citations](https://md.research.elamur.ai/free/en/authors/mehdi-cherti/) · [🧑‍🔬**Mitchell Wortsman**1 work here · 751 citations](https://md.research.elamur.ai/free/en/authors/mitchell-wortsman/) · [🧑‍🔬**Romain Beaumont**1 work here · 751 citations](https://md.research.elamur.ai/free/en/authors/romain-beaumont/) · [🧑‍🔬**Ross Wightman**1 work here · 751 citations](https://md.research.elamur.ai/free/en/authors/ross-wightman/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🔬**Forschungszentrum Jülich** Jülich · Germany 1 work here](https://md.research.elamur.ai/free/en/labs/forschungszentrum-julich/) · [🎓**University of Washington** Seattle · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🏢**Hugging Face** New York · United States 1 work here](https://md.research.elamur.ai/free/en/companies/hugging-face/) · [🎓**University of California, Berkeley** Berkeley · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/)

works and citations from OpenAlex and our library.

- [← previous IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2019](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2019/)
- [next → IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2023](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2023/)
- [↑ back to IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)