📰 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.

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 ↗Robin Rombach, Andreas Blattmann, Dominik Lorenz et al.16,051 citations
2. A ConvNet for the 2020s ↗Zhuang Liu, Hanzi Mao, Chao-Yuan Wu et al.8,300 citations
3. Masked Autoencoders Are Scalable Vision Learners ↗Kaiming He, Xinlei Chen, Saining Xie et al.7,977 citations
4. Restormer: Efficient Transformer for High-Resolution Image Restoration ↗Syed Waqas Zamir, Aditya Arora, Salman Khan et al.4,143 citations
5. Masked-attention Mask Transformer for Universal Image Segmentation ↗Bowen Cheng, Ishan Misra, Alexander Gerhard Schwing et al.3,362 citations
6. Swin Transformer V2: Scaling Up Capacity and Resolution ↗Ze Liu, Han Hu, Yutong Lin et al.2,484 citations
7. Uformer: A General U-Shaped Transformer for Image Restoration ↗Zhendong Wang, Xiaodong Cun, Jianmin Bao et al.2,274 citations
8. Video Swin Transformer ↗Ze Liu, Jia Ning, Yue Cao et al.2,148 citations
9. Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields ↗Jonathan T. Barron, Ben Mildenhall, Dor Verbin et al.1,935 citations
10. Conditional Prompt Learning for Vision-Language Models ↗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 ↗Robin Rombach, Andreas Blattmann, Dominik Lorenz et al.16,051 citations
2. A ConvNet for the 2020s ↗Zhuang Liu, Hanzi Mao, Chao-Yuan Wu et al.8,300 citations
3. Masked Autoencoders Are Scalable Vision Learners ↗Kaiming He, Xinlei Chen, Saining Xie et al.7,977 citations
4. Restormer: Efficient Transformer for High-Resolution Image Restoration ↗Syed Waqas Zamir, Aditya Arora, Salman Khan et al.4,143 citations
5. Masked-attention Mask Transformer for Universal Image Segmentation ↗Bowen Cheng, Ishan Misra, Alexander Gerhard Schwing et al.3,362 citations
6. Swin Transformer V2: Scaling Up Capacity and Resolution ↗Ze Liu, Han Hu, Yutong Lin et al.2,484 citations
7. Uformer: A General U-Shaped Transformer for Image Restoration ↗Zhendong Wang, Xiaodong Cun, Jianmin Bao et al.2,274 citations
8. Video Swin Transformer ↗Ze Liu, Jia Ning, Yue Cao et al.2,148 citations
9. Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields ↗Jonathan T. Barron, Ben Mildenhall, Dor Verbin et al.1,935 citations
10. Conditional Prompt Learning for Vision-Language Models ↗Kaiyang Zhou, Jingkang Yang, Chen Change Loy et al.1,796 citations
11. RePaint: Inpainting using Denoising Diffusion Probabilistic Models ↗Andreas Lugmayr, Martin Danelljan, Andrés Romero et al.1,697 citations
12. Towards Total Recall in Industrial Anomaly Detection ↗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 ↗Xiaohan Ding, Xiangyu Zhang, Jungong Han et al.1,447 citations
14. Plenoxels: Radiance Fields without Neural Networks ↗Sara Fridovich-Keil, Alex Yu, Matthew Tancik et al.1,388 citations
15. CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows ↗Xiaoyi Dong, Jianmin Bao, Dongdong Chen et al.1,358 citations
16. MetaFormer is Actually What You Need for Vision ↗Weihao Yu, Mi Luo, Pan Zhou et al.1,255 citations
17. SimMIM: a Simple Framework for Masked Image Modeling ↗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 ↗Jinyuan Liu, Xin Fan, Zhanbo Huang et al.1,210 citations
19. Toward Fast, Flexible, and Robust Low-Light Image Enhancement ↗Long Ma, Tengyu Ma, Risheng Liu et al.1,099 citations
20. Efficient Geometry-aware 3D Generative Adversarial Networks ↗Eric Ryan Chan, Connor Z. Lin, Matthew A. Chan et al.1,093 citations
21. Grounded Language-Image Pre-training ↗Liunian Harold Li, Pengchuan Zhang, Haotian Zhang et al.1,086 citations
22. DN-DETR: Accelerate DETR Training by Introducing Query DeNoising ↗Feng Li, Hao Zhang, Shilong Liu et al.1,031 citations
23. TrackFormer: Multi-Object Tracking with Transformers ↗Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixé et al.1,018 citations
24. Vision Transformer with Deformable Attention ↗Zhuofan Xia, Xuran Pan, Shiji Song et al.974 citations
25. Decoupled Knowledge Distillation ↗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 →

📄 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 learningIEEE Computer Society Conference on Computer Vision and Pattern RecognitionMehdi Cherti, Romain Beaumont, Ross Wightman, et al.2022 · 751 citations

📚 Fields

🖥️Computer Science (1)

🧑‍🔬 Top authors

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

🏛️ Top institutions

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

🔬Forschungszentrum JülichJülich · Germany1 work here🎓University of WashingtonSeattle · United States1 work here🏢Hugging FaceNew York · United States1 work here🎓University of California, BerkeleyBerkeley · United States1 work here

works and citations from OpenAlex and our library.

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