Yu Tang

Computer Vision and Pattern Recognition · with Liu · 2020

A researcher in the Science corpus: 1 paper; trusts 174 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Media Technology — 29 citations into it

Whom Yu Tang trusts overall

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

1. Kaiming He
2. Radu Timofte
3. Geoffrey E. Hinton
4. Chao Dong
5. Alex Krizhevsky
6. Lei Zhang
7. Diederik P. Kingma
8. Kai Zhang
9. Yoshua Bengio
10. Yann LeCun

Papers from Yu Tang's perspective

Ordered by how strongly the researchers Yu Tang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• Residual Feature Aggregation Network for Image Super-Resolution (2020) — 514 citations