Fazhi He

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 3 papers; trusts 104 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 48 citations into it; #12,858 of 21,575 by trust here, #18,266 by citations
• Media Technology — 43 citations into it; #1,721 of 3,621 by trust here, #2,706 by citations
• Artificial Intelligence — 14 citations into it
• Aerospace Engineering — 8 citations into it

Whom Fazhi He 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 Fazhi He overall

1. Hui Li
2. Xiao-Jun Wu
3. Xingchen Zhang
4. Wei Tang
5. Linfeng Tang

Papers from Fazhi He's perspective

Ordered by how strongly the researchers Fazhi He 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
• MATR: Multimodal Medical Image Fusion via Multiscale Adaptive Transformer (2022) — 387 citations