Huan Gao

Computer Vision and Pattern Recognition · with Guo · 2021

A researcher in the Science corpus: 1 paper; trusts 57 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it
• Media Technology — 13 citations into it

Whom Huan Gao trusts overall

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

1. Karen Simonyan
2. Kaiming He
3. Chongyi Li
4. Andrew Zisserman
5. Jia Deng
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Miao Yang
9. John Yi-Wu Chiang

Papers from Huan Gao's perspective

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

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

Their papers

• UIEC^2-Net: CNN-based Underwater Image Enhancement Using Two Color Space (2021) — 375 citations