Wei Tang

Computer Vision and Pattern Recognition · with He · 2023

A researcher in the Science corpus: 2 papers; trusts 104 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 49 citations into it; #16,339 of 21,575 by trust here, #19,766 by citations
• Media Technology — 44 citations into it; #2,217 of 3,621 by trust here, #3,091 by citations
• Artificial Intelligence — 14 citations into it
• Aerospace Engineering — 8 citations into it

Whom Wei Tang trusts overall

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

1. Jiayi Ma
2. Hui Li
3. Yu Liu
4. Shutao Li
5. Diederik P. Kingma
6. Xiaojun Wu
7. Han Xu
8. Geoffrey E. Hinton
9. Kaiming He
10. Alex Krizhevsky

Who trusts Wei Tang overall

1. Hui Li
2. Xiao-Jun Wu
3. Linfeng Tang
4. Fazhi He
5. Tianyang Xu
6. Yuxin Deng

Papers from Wei Tang's perspective

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

Their papers

• YDTR: Infrared and Visible Image Fusion via Y-Shape Dynamic Transformer (2023) — 421 citations
• DATFuse: Infrared and Visible Image Fusion via Dual Attention Transformer (2023) — 475 citations