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# IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2018 — accepted papers

IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2018 is the 2018 edition of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (publisher: Institute of Electrical and Electronics Engineers). OpenAlex lists 981 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.

[**981** 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/2018/#works) · [**1,405** citations of these works](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2018/#works)

## Most cited papers

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

1. **[Squeeze-and-Excitation Networks ↗](https://doi.org/10.1109/cvpr.2018.00745)**Jie Hu, Li Shen, Gang Zheng Sun*30,519 citations*
2. **[MobileNetV2: Inverted Residuals and Linear Bottlenecks ↗](https://doi.org/10.1109/cvpr.2018.00474)**Mark Sandler, Andrew Howard, Menglong Zhu et al.*27,247 citations*
3. **[The Unreasonable Effectiveness of Deep Features as a Perceptual Metric ↗](https://doi.org/10.1109/cvpr.2018.00068)**Richard Zhang, Phillip Isola, Alexei A. Efros et al.*14,045 citations*
4. **[Non-local Neural Networks ↗](https://doi.org/10.1109/cvpr.2018.00813)**Xiaolong Wang, Ross Girshick, Abhinav Gupta et al.*10,954 citations*
5. **[ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices ↗](https://doi.org/10.1109/cvpr.2018.00716)**Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin et al.*9,452 citations*
6. **[Path Aggregation Network for Instance Segmentation ↗](https://doi.org/10.1109/cvpr.2018.00913)**Shu Liu, Lu Qi, Haifang Qin et al.*9,321 citations*
7. **[Cascade R-CNN: Delving Into High Quality Object Detection ↗](https://doi.org/10.1109/cvpr.2018.00644)**Zhaowei Cai, Nuno M. Vasconcelos*6,958 citations*
8. **[Learning Transferable Architectures for Scalable Image Recognition](https://md.research.elamur.ai/free/en/papers/zoph-2017-learning-transferable-architectures-scalable-image/)**Barret Zoph, Vijay Vasudevan, Jonathon Shlens et al.*6,249 citations · our summary*
9. **[Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering ↗](https://doi.org/10.1109/cvpr.2018.00636)**Peter Anderson, Xiaodong He, Chris Buehler et al.*4,948 citations*
10. **[VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection ↗](https://doi.org/10.1109/cvpr.2018.00472)**Yin Zhou, Oncel Tuzel*4,656 citations*

## All accepted papers (981)

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

1. **[Squeeze-and-Excitation Networks ↗](https://doi.org/10.1109/cvpr.2018.00745)**Jie Hu, Li Shen, Gang Zheng Sun*30,519 citations*
2. **[MobileNetV2: Inverted Residuals and Linear Bottlenecks ↗](https://doi.org/10.1109/cvpr.2018.00474)**Mark Sandler, Andrew Howard, Menglong Zhu et al.*27,247 citations*
3. **[The Unreasonable Effectiveness of Deep Features as a Perceptual Metric ↗](https://doi.org/10.1109/cvpr.2018.00068)**Richard Zhang, Phillip Isola, Alexei A. Efros et al.*14,045 citations*
4. **[Non-local Neural Networks ↗](https://doi.org/10.1109/cvpr.2018.00813)**Xiaolong Wang, Ross Girshick, Abhinav Gupta et al.*10,954 citations*
5. **[ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices ↗](https://doi.org/10.1109/cvpr.2018.00716)**Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin et al.*9,452 citations*
6. **[Path Aggregation Network for Instance Segmentation ↗](https://doi.org/10.1109/cvpr.2018.00913)**Shu Liu, Lu Qi, Haifang Qin et al.*9,321 citations*
7. **[Cascade R-CNN: Delving Into High Quality Object Detection ↗](https://doi.org/10.1109/cvpr.2018.00644)**Zhaowei Cai, Nuno M. Vasconcelos*6,958 citations*
8. **[Learning Transferable Architectures for Scalable Image Recognition](https://md.research.elamur.ai/free/en/papers/zoph-2017-learning-transferable-architectures-scalable-image/)**Barret Zoph, Vijay Vasudevan, Jonathon Shlens et al.*6,249 citations · our summary*
9. **[Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering ↗](https://doi.org/10.1109/cvpr.2018.00636)**Peter Anderson, Xiaodong He, Chris Buehler et al.*4,948 citations*
10. **[VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection ↗](https://doi.org/10.1109/cvpr.2018.00472)**Yin Zhou, Oncel Tuzel*4,656 citations*
11. **[High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs ↗](https://doi.org/10.1109/cvpr.2018.00917)**Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu et al.*4,332 citations*
12. **[Residual Dense Network for Image Super-Resolution ↗](https://doi.org/10.1109/cvpr.2018.00262)**Yulun Zhang, Yapeng Tian, Yu Kong et al.*4,168 citations*
13. **[StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation ↗](https://doi.org/10.1109/cvpr.2018.00916)**Yunjey Choi, Minje Choi, Munyoung Kim et al.*4,004 citations*
14. **[Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference ↗](https://doi.org/10.1109/cvpr.2018.00286)**Benoit Jacob, Skirmantas Kligys, Bo Chen et al.*3,946 citations*
15. **[A Closer Look at Spatiotemporal Convolutions for Action Recognition ↗](https://doi.org/10.1109/cvpr.2018.00675)**Du Tran, Heng Wang, Lorenzo Torresani et al.*3,516 citations*
16. **[Unsupervised Feature Learning via Non-parametric Instance Discrimination ↗](https://doi.org/10.1109/cvpr.2018.00393)**Zhirong Wu, Yuanjun Xiong, Stella X. Yu et al.*3,479 citations*
17. **[DOTA: A Large-Scale Dataset for Object Detection in Aerial Images ↗](https://doi.org/10.1109/cvpr.2018.00418)**Gui-Song Xia, Xiang Bai, Jian Ding et al.*3,272 citations*
18. **[Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics ↗](https://doi.org/10.1109/cvpr.2018.00781)**Roberto Cipolla, Yarin Gal, Alex Kendall*3,151 citations*
19. **[Boosting Adversarial Attacks with Momentum ↗](https://doi.org/10.1109/cvpr.2018.00957)**Yinpeng Dong, Fangzhou Liao, Tianyu Pang et al.*2,956 citations*
20. **[CosFace: Large Margin Cosine Loss for Deep Face Recognition ↗](https://doi.org/10.1109/cvpr.2018.00552)**Hao Wang, Yitong Wang, Zheng Zhou et al.*2,919 citations*
21. **[High Performance Visual Tracking with Siamese Region Proposal Network ↗](https://doi.org/10.1109/cvpr.2018.00935)**Bo Hu Li, Junjie Yan, Wei Wu et al.*2,903 citations*
22. **[PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume ↗](https://doi.org/10.1109/cvpr.2018.00931)**Deqing Sun, Xiaodong Yang, Ming-Yu Liu et al.*2,648 citations*
23. **[Frustum PointNets for 3D Object Detection from RGB-D Data ↗](https://doi.org/10.1109/cvpr.2018.00102)**Charles R. Qi, Wei Liu, Chenxia Wu et al.*2,638 citations*
24. **[Generative Image Inpainting with Contextual Attention ↗](https://doi.org/10.1109/cvpr.2018.00577)**Jiahui Yu, Zhe Lin, Jimei Yang et al.*2,527 citations*
25. **[Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks ↗](https://doi.org/10.1109/cvpr.2018.00240)**Agrim Gupta, Justin M. Johnson, Li Fei-Fei et al.*2,377 citations*

[See all 981 papers in IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2018 — accepted papers →](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2018/papers/)

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

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

1. **[FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search](https://md.research.elamur.ai/free/en/papers/wu-2018-fbnet-hardware-aware-efficient-convnet/) [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/)**Bichen Wu, Xiaoliang Dai, Peizhao Zhang, et al.*2018 · 1,405 citations*

## Top topics

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

[GPU & parallel computing (1)](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/)

## 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.

[🧑‍🔬**Fei Sun**1 work here · 1,405 citations](https://md.research.elamur.ai/free/en/authors/fei-sun/) · [🧑‍🔬**Kurt Keutzer**1 work here · 1,405 citations](https://md.research.elamur.ai/free/en/authors/kurt-keutzer/) · [🧑‍🔬**Yangqing Jia**1 work here · 1,405 citations](https://md.research.elamur.ai/free/en/authors/yangqing-jia/) · [🧑‍🔬**Yuandong Tian**1 work here · 1,405 citations](https://md.research.elamur.ai/free/en/authors/yuandong-tian/)

## Top institutions

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

[🎓**Princeton University** Princeton · United States 1 work here](https://md.research.elamur.ai/free/en/universities/princeton-university/) · [🏢**Meta** Menlo Park · United States 1 work here](https://md.research.elamur.ai/free/en/companies/meta/) · [🎓**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 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 2019](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2019/)
- [↑ 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/)