Jichang Guo

Computer Vision and Pattern Recognition · with Gao · 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 Jichang Guo 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
10. X. Zhang

Papers from Jichang Guo's perspective

Ordered by how strongly the researchers Jichang Guo 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

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