---
title: "IEEE Computer Society Conference on Computer Vision and"
description: "IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2020 — 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/2020/"
---
[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/2020/)

[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/) / 2020

# IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2020 — accepted papers

IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2020 is the 2020 edition of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (publisher: Institute of Electrical and Electronics Engineers). OpenAlex lists 1,466 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.

[**1,466** 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/2020/#works) · [**2,040** citations of these works](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2020/#works)

## Most cited papers

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

1. **[Momentum Contrast for Unsupervised Visual Representation Learning](https://md.research.elamur.ai/free/en/papers/he-2019-momentum-contrast-unsupervised-visual-representation/)**Kaiming He, Haoqi Fan, Yuxin Wu et al.*12,652 citations · our summary*
2. **[EfficientDet: Scalable and Efficient Object Detection ↗](https://doi.org/10.1109/cvpr42600.2020.01079)**Mingxing Tan, Ruoming Pang, Quoc Viet Le*9,258 citations*
3. **[ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks ↗](https://doi.org/10.1109/cvpr42600.2020.01155)**Qilong Wang, Banggu Wu, Pengfei Zhu et al.*8,890 citations*
4. **[nuScenes: A Multimodal Dataset for Autonomous Driving ↗](https://doi.org/10.1109/cvpr42600.2020.01164)**Holger Caesar, Varun Bankiti, Alex Lang et al.*6,888 citations*
5. **[Analyzing and Improving the Image Quality of StyleGAN ↗](https://doi.org/10.1109/cvpr42600.2020.00813)**Tero Karras, Samuli Laine, Miika Aittala et al.*6,002 citations*
6. **[GhostNet: More Features From Cheap Operations ↗](https://doi.org/10.1109/cvpr42600.2020.00165)**Kai Han, Yunhe Wang, Qi Chuan Tian et al.*4,817 citations*
7. **[Scalability in Perception for Autonomous Driving: Waymo Open Dataset ↗](https://doi.org/10.1109/cvpr42600.2020.00252)**Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla et al.*3,309 citations*
8. **[SuperGlue: Learning Feature Matching With Graph Neural Networks](https://md.research.elamur.ai/free/en/papers/sarlin-2019-superglue-learning-feature-matching-graph/)**Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz et al.*2,830 citations · our summary*
9. **[BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning ↗](https://doi.org/10.1109/cvpr42600.2020.00271)**Fisher Yu, Haofeng Chen, Xin Wang et al.*2,493 citations*
10. **[Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement ↗](https://doi.org/10.1109/cvpr42600.2020.00185)**Chunle Guo, Chongyi Li, Jichang Guo et al.*2,459 citations*

## All accepted papers (1,466)

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

1. **[Momentum Contrast for Unsupervised Visual Representation Learning](https://md.research.elamur.ai/free/en/papers/he-2019-momentum-contrast-unsupervised-visual-representation/)**Kaiming He, Haoqi Fan, Yuxin Wu et al.*12,652 citations · our summary*
2. **[EfficientDet: Scalable and Efficient Object Detection ↗](https://doi.org/10.1109/cvpr42600.2020.01079)**Mingxing Tan, Ruoming Pang, Quoc Viet Le*9,258 citations*
3. **[ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks ↗](https://doi.org/10.1109/cvpr42600.2020.01155)**Qilong Wang, Banggu Wu, Pengfei Zhu et al.*8,890 citations*
4. **[nuScenes: A Multimodal Dataset for Autonomous Driving ↗](https://doi.org/10.1109/cvpr42600.2020.01164)**Holger Caesar, Varun Bankiti, Alex Lang et al.*6,888 citations*
5. **[Analyzing and Improving the Image Quality of StyleGAN ↗](https://doi.org/10.1109/cvpr42600.2020.00813)**Tero Karras, Samuli Laine, Miika Aittala et al.*6,002 citations*
6. **[GhostNet: More Features From Cheap Operations ↗](https://doi.org/10.1109/cvpr42600.2020.00165)**Kai Han, Yunhe Wang, Qi Chuan Tian et al.*4,817 citations*
7. **[Scalability in Perception for Autonomous Driving: Waymo Open Dataset ↗](https://doi.org/10.1109/cvpr42600.2020.00252)**Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla et al.*3,309 citations*
8. **[SuperGlue: Learning Feature Matching With Graph Neural Networks](https://md.research.elamur.ai/free/en/papers/sarlin-2019-superglue-learning-feature-matching-graph/)**Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz et al.*2,830 citations · our summary*
9. **[BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning ↗](https://doi.org/10.1109/cvpr42600.2020.00271)**Fisher Yu, Haofeng Chen, Xin Wang et al.*2,493 citations*
10. **[Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement ↗](https://doi.org/10.1109/cvpr42600.2020.00185)**Chunle Guo, Chongyi Li, Jichang Guo et al.*2,459 citations*
11. **[Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection ↗](https://doi.org/10.1109/cvpr42600.2020.00978)**Shifeng Zhang, Cheng Chi, Yongqiang Yao et al.*2,354 citations*
12. **[Self-Training With Noisy Student Improves ImageNet Classification ↗](https://doi.org/10.1109/cvpr42600.2020.01070)**Qizhe Xie, Minh-Thang Luong, Eduard H. Hovy et al.*2,319 citations*
13. **[PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection ↗](https://doi.org/10.1109/cvpr42600.2020.01054)**Shaoshuai Shi, Chaoxu Guo, Li Jiang et al.*2,243 citations*
14. **[RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds ↗](https://doi.org/10.1109/cvpr42600.2020.01112)**Qingyong Hu, Bo Yang, Linhai Xie et al.*2,149 citations*
15. **[Designing Network Design Spaces](https://md.research.elamur.ai/free/en/papers/radosavovic-2020-designing-network-design-spaces/)**Ilija Radosavovic, Raj Prateek Kosaraju, Ross Girshick et al.*1,929 citations · our summary*
16. **[Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics ↗](https://doi.org/10.1109/cvpr42600.2020.00327)**Yuezun Li, Xin Yang, Pu Sun et al.*1,748 citations*
17. **[StarGAN v2: Diverse Image Synthesis for Multiple Domains ↗](https://doi.org/10.1109/cvpr42600.2020.00821)**Yunjey Choi, Youngjung Uh, Jaejun Yoo et al.*1,657 citations*
18. **[RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild ↗](https://doi.org/10.1109/cvpr42600.2020.00525)**Jiankang Deng, Jia Guo, Evangelos Ververas et al.*1,617 citations*
19. **[Dynamic Convolution: Attention Over Convolution Kernels ↗](https://doi.org/10.1109/cvpr42600.2020.01104)**Yinpeng Chen, Xiyang Dai, Mengchen Liu et al.*1,477 citations*
20. **[Self-Supervised Learning of Pretext-Invariant Representations ↗](https://doi.org/10.1109/cvpr42600.2020.00674)**Ishan Misra, Laurens van der Maaten*1,366 citations*
21. **[X3D: Expanding Architectures for Efficient Video Recognition ↗](https://doi.org/10.1109/cvpr42600.2020.00028)**Christoph Feichtenhofer*1,233 citations*
22. **[Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition ↗](https://doi.org/10.1109/cvpr42600.2020.00022)**Ziyu Liu, Hongwen Zhang, Zhenghao Chen et al.*1,225 citations*
23. **[PointPainting: Sequential Fusion for 3D Object Detection ↗](https://doi.org/10.1109/cvpr42600.2020.00466)**Sourabh Vora, Alex Lang, Bassam Helou et al.*1,213 citations*
24. **[Meshed-Memory Transformer for Image Captioning ↗](https://doi.org/10.1109/cvpr42600.2020.01059)**Marcella Cornia, Matteo Stefanini, Lorenzo Baraldi et al.*1,181 citations*
25. **[3DSSD: Point-Based 3D Single Stage Object Detector ↗](https://doi.org/10.1109/cvpr42600.2020.01105)**Zetong Yang, Yanan Sun, Shu Liu et al.*1,171 citations*

[See all 1,466 papers in IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2020 — accepted papers →](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2020/papers/)

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

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

1. **[Designing Network Design Spaces](https://md.research.elamur.ai/free/en/papers/radosavovic-2020-designing-network-design-spaces/) [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/)**Ilija Radosavovic, Raj Prateek Kosaraju, Ross Girshick, et al.*2020 · 2,040 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.

[🧑‍🔬**Kaiming He**1 work here · 2,040 citations](https://md.research.elamur.ai/free/en/authors/kaiming-he/) · [🧑‍🔬**Piotr Dollar**1 work here · 2,040 citations](https://md.research.elamur.ai/free/en/authors/piotr-dollar/) · [🧑‍🔬**Ross Girshick**1 work here · 2,040 citations](https://md.research.elamur.ai/free/en/authors/ross-girshick/)

## Top institutions

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

[🏢**Meta** Menlo Park · United States 1 work here](https://md.research.elamur.ai/free/en/companies/meta/)

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 2021](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2021/)
- [↑ 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/)
