Yu Wu

Computer Vision and Pattern Recognition · with Yang · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 463 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 96 citations into it; #21,230 of 21,575 by trust here, #10,010 by citations
• Biomedical Engineering — 30 citations into it; #10,629 of 10,734 by trust here, #4,866 by citations
• Artificial Intelligence — 13 citations into it

Whom Yu Wu trusts overall

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

1. Kaiming He
2. Liang Zheng
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Ross B. Girshick
6. Jia Deng
7. Ilya Sutskever
8. Yoshua Bengio
9. Yann LeCun
10. Diederik P. Kingma

Who trusts Yu Wu overall

1. Siyuan Li

Papers from Yu Wu's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Improving Person Re-identification by Attribute and Identity Learning (2017) — 881 citations
• Pose-Guided Feature Alignment for Occluded Person Re-Identification (2019) — 606 citations