Hao Shen

Computer Vision and Pattern Recognition · with Wang · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it; #17,686 of 21,575 by trust here, #7,750 by citations

Whom Hao Shen trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He (in Computer Vision and Pattern Recognition)
2. Ross B. Girshick (in Computer Vision and Pattern Recognition)
3. Piotr Doll'ar (in Computer Vision and Pattern Recognition)

Who trusts Hao Shen

1. Lu Yuan (in Computer Vision and Pattern Recognition)
2. Jianfeng Gao (in Computer Vision and Pattern Recognition)
3. Jianwei Yang (in Computer Vision and Pattern Recognition)

Papers from Hao Shen's perspective

Ordered by how strongly the researchers Hao Shen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Mask R-CNN
3. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
4. Decoupled Weight Decay Regularization
5. Feature Pyramid Networks for Object Detection
6. End-to-End Object Detection with Transformers (European Conference on Computer Vision)
7. PyTorch: An Imperative Style, High-Performance Deep Learning Library
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. ImageNet classification with deep convolutional neural networks
10. Group Normalization

Their papers

• End-to-End Video Instance Segmentation with Transformers (2020) — 792 citations