---
title: "IEEE Computer Society Conference on Computer Vision and"
description: "IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2019 — accepted papers: 3 papers in the Elamur Research…"
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# IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2019 — accepted papers

IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2019 is the 2019 edition of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (publisher: Institute of Electrical and Electronics Engineers). OpenAlex lists 1,299 papers of it; our library holds 3 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**1,299** papers in the proceedings](#all) · [**3** works in our library](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2019/#works) · [**15,883** citations of these works](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2019/#works)

## Most cited papers

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

1. **[A Style-Based Generator Architecture for Generative Adversarial Networks ↗](https://doi.org/10.1109/cvpr.2019.00453)**Tero Karras, Samuli Laine, Timo Aila*11,051 citations*
2. **[ArcFace: Additive Angular Margin Loss for Deep Face Recognition ↗](https://doi.org/10.1109/cvpr.2019.00482)**Jiankang Deng, Jia Guo, Jing Yang et al.*7,537 citations*
3. **[Dual Attention Network for Scene Segmentation ↗](https://doi.org/10.1109/cvpr.2019.00326)**Jun Fu, Jing Liu, Haijie Tian et al.*6,834 citations*
4. **[Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression ↗](https://doi.org/10.1109/cvpr.2019.00075)**Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak et al.*6,179 citations*
5. **[Deep High-Resolution Representation Learning for Human Pose Estimation ↗](https://doi.org/10.1109/cvpr.2019.00584)**Ke Sun, Bin Xiao, Dong Liu et al.*5,649 citations*
6. **[PointPillars: Fast Encoders for Object Detection From Point Clouds ↗](https://doi.org/10.1109/cvpr.2019.01298)**Alex Lang, Sourabh Vora, Holger Caesar et al.*4,492 citations*
7. **[DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation ↗](https://doi.org/10.1109/cvpr.2019.00025)**Jeong Joon Park, Pete Florence, Julian Straub et al.*3,422 citations*
8. **[MnasNet: Platform-Aware Neural Architecture Search for Mobile ↗](https://doi.org/10.1109/cvpr.2019.00293)**Mingxing Tan, Bo Chen, Ruoming Pang et al.*3,231 citations*
9. **[Selective Kernel Networks ↗](https://doi.org/10.1109/cvpr.2019.00060)**Xiang Li, Wenhai Wang, Xiaolin Hu et al.*3,134 citations*
10. **[PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud ↗](https://doi.org/10.1109/cvpr.2019.00086)**Shaoshuai Shi, Xiaogang Wang, Hongsheng Li*2,955 citations*

## All accepted papers (1,299)

The most cited first; 3 with our summary link to their page here, the others to the original.

1. **[A Style-Based Generator Architecture for Generative Adversarial Networks ↗](https://doi.org/10.1109/cvpr.2019.00453)**Tero Karras, Samuli Laine, Timo Aila*11,051 citations*
2. **[ArcFace: Additive Angular Margin Loss for Deep Face Recognition ↗](https://doi.org/10.1109/cvpr.2019.00482)**Jiankang Deng, Jia Guo, Jing Yang et al.*7,537 citations*
3. **[Dual Attention Network for Scene Segmentation ↗](https://doi.org/10.1109/cvpr.2019.00326)**Jun Fu, Jing Liu, Haijie Tian et al.*6,834 citations*
4. **[Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression ↗](https://doi.org/10.1109/cvpr.2019.00075)**Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak et al.*6,179 citations*
5. **[Deep High-Resolution Representation Learning for Human Pose Estimation ↗](https://doi.org/10.1109/cvpr.2019.00584)**Ke Sun, Bin Xiao, Dong Liu et al.*5,649 citations*
6. **[PointPillars: Fast Encoders for Object Detection From Point Clouds ↗](https://doi.org/10.1109/cvpr.2019.01298)**Alex Lang, Sourabh Vora, Holger Caesar et al.*4,492 citations*
7. **[DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation ↗](https://doi.org/10.1109/cvpr.2019.00025)**Jeong Joon Park, Pete Florence, Julian Straub et al.*3,422 citations*
8. **[MnasNet: Platform-Aware Neural Architecture Search for Mobile ↗](https://doi.org/10.1109/cvpr.2019.00293)**Mingxing Tan, Bo Chen, Ruoming Pang et al.*3,231 citations*
9. **[Selective Kernel Networks ↗](https://doi.org/10.1109/cvpr.2019.00060)**Xiang Li, Wenhai Wang, Xiaolin Hu et al.*3,134 citations*
10. **[PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud ↗](https://doi.org/10.1109/cvpr.2019.00086)**Shaoshuai Shi, Xiaogang Wang, Hongsheng Li*2,955 citations*
11. **[Class-Balanced Loss Based on Effective Number of Samples ↗](https://doi.org/10.1109/cvpr.2019.00949)**Yin Cui, Menglin Jia, Tsung-Yi Lin et al.*2,877 citations*
12. **[Semantic Image Synthesis With Spatially-Adaptive Normalization ↗](https://doi.org/10.1109/cvpr.2019.00244)**Taesung Park, Ming-Yu Liu, Ting-Chun Wang et al.*2,858 citations*
13. **[Deformable ConvNets V2: More Deformable, Better Results ↗](https://doi.org/10.1109/cvpr.2019.00953)**Xizhou Zhu, Han Hu, Stephen Ching-Feng Lin et al.*2,750 citations*
14. **[AutoAugment: Learning Augmentation Strategies From Data ↗](https://doi.org/10.1109/cvpr.2019.00020)**Ekin D. Cubuk, Barret Zoph, Dandelion Mané et al.*2,733 citations*
15. **[Occupancy Networks: Learning 3D Reconstruction in Function Space ↗](https://doi.org/10.1109/cvpr.2019.00459)**Lars Mescheder, Michael Oechsle, Michael Niemeyer et al.*2,708 citations*
16. **[SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks ↗](https://doi.org/10.1109/cvpr.2019.00441)**Bo Li, Wei Wu, Qiang Wang et al.*2,480 citations*
17. **[MVTec AD — A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection ↗](https://doi.org/10.1109/cvpr.2019.00982)**Paul Bergmann, Michael Fauser, David Sattlegger et al.*2,086 citations*
18. **[Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition ↗](https://doi.org/10.1109/cvpr.2019.01230)**Lei Shi, Yifan Zhang, Jian Cheng et al.*2,071 citations*
19. **[4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks ↗](https://doi.org/10.1109/cvpr.2019.00319)**Christopher Choy, JunYoung Gwak, Silvio Savarese*2,043 citations*
20. **[NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection ↗](https://doi.org/10.1109/cvpr.2019.00720)**Golnaz Ghiasi, Tsung-Yi Lin, Quoc Viet Le*1,978 citations*
21. **[Second-Order Attention Network for Single Image Super-Resolution ↗](https://doi.org/10.1109/cvpr.2019.01132)**Tao Dai, Jianrui Cai, Yongbing Zhang et al.*1,900 citations*
22. **[PointConv: Deep Convolutional Networks on 3D Point Clouds ↗](https://doi.org/10.1109/cvpr.2019.00985)**Wenxuan Wu, Zhongang Qi, Fuxin Li*1,850 citations*
23. **[Expressive Body Capture: 3D Hands, Face, and Body From a Single Image ↗](https://doi.org/10.1109/cvpr.2019.01123)**Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani et al.*1,771 citations*
24. **[Libra R-CNN: Towards Balanced Learning for Object Detection ↗](https://doi.org/10.1109/cvpr.2019.00091)**Jiangmiao Pang, Kai Chen, Jianping Shi et al.*1,763 citations*
25. **[Relational Knowledge Distillation ↗](https://doi.org/10.1109/cvpr.2019.00409)**Wonpyo Park, Dongju Kim, Yan Lu et al.*1,681 citations*

[See all 1,299 papers in IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2019 — accepted papers →](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2019/papers/)

## Papers with our summary in our library (3)

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

1. **[Momentum Contrast for Unsupervised Visual Representation Learning](https://md.research.elamur.ai/free/en/papers/he-2019-momentum-contrast-unsupervised-visual-representation/) [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/)**Kaiming He, Haoqi Fan, Yuxin Wu, et al.*2019 · 13,151 citations*
2. **[GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering](https://md.research.elamur.ai/free/en/papers/hudson-2019-gqa-new-dataset-real-world/) [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/)**Drew A. Hudson, Christopher D. Manning*2019 · 2,006 citations*
3. **[ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks](https://md.research.elamur.ai/free/en/papers/shridhar-2019-alfred-benchmark-interpreting-grounded-instructions/) [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/)**Mohit Shridhar; Jesse Thomason; Daniel Gordon; Yonatan Bisk; Winson Han; Roozbeh Mottaghi; Luke Zettlemoyer;, Dieter Fox*2019 · 726 citations*

## Top topics

Topics of its works in our library, with the number of works on each.

[Language models & pretraining (1)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Question answering (1)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Evaluation & benchmarks (1)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning (1)](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Fields

[Computer Science (3)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Engineering (1)](https://md.research.elamur.ai/free/en/shelves/engineering/)

## Top authors

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

[🧑‍🔬**Haoqi Fan**1 work here · 13,151 citations](https://md.research.elamur.ai/free/en/authors/haoqi-fan/) · [🧑‍🔬**Kaiming He**1 work here · 13,151 citations](https://md.research.elamur.ai/free/en/authors/kaiming-he/) · [🧑‍🔬**Ross Girshick**1 work here · 13,151 citations](https://md.research.elamur.ai/free/en/authors/ross-girshick/) · [🧑‍🔬**Saining Xie**1 work here · 13,151 citations](https://md.research.elamur.ai/free/en/authors/saining-xie/) · [🧑‍🔬**Christopher D. Manning**1 work here · 2,006 citations](https://md.research.elamur.ai/free/en/authors/christopher-d-manning/) · [🧑‍🔬**Drew A. Hudson**1 work here · 2,006 citations](https://md.research.elamur.ai/free/en/authors/drew-a-hudson/) · [🧑‍🔬**Dieter Fox**1 work here · 726 citations](https://md.research.elamur.ai/free/en/authors/dieter-fox/)

## Top institutions

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

[🏢**Nvidia (United Kingdom)** Reading · United Kingdom 1 work here](https://md.research.elamur.ai/free/en/companies/nvidia-united-kingdom/) · [🎓**University of Washington** Seattle · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🏢**Meta** Menlo Park · United States 1 work here](https://md.research.elamur.ai/free/en/companies/meta/) · [🏢**Nvidia** Santa Clara · United States 1 work here](https://md.research.elamur.ai/free/en/companies/nvidia/) · [🔬**Allen Institute for Artificial Intelligence** Seattle · United States 1 work here](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 1 work here](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**Stanford University** Stanford · United States 1 work here](https://md.research.elamur.ai/free/en/universities/stanford-university/)

works and citations from OpenAlex and our library.

- [← previous IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2017](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2017/)
- [next → 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/)
- [↑ 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/)