Hang Guo

Computer Vision and Pattern Recognition · 2024

A researcher in the Science corpus: 1 paper; trusts 138 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 56 citations into it
• Media Technology — 29 citations into it
• Artificial Intelligence — 14 citations into it
• Model Architectures — 11 citations into it

Whom Hang Guo trusts overall

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

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

Who trusts Hang Guo overall

1. Kunchang Li

Papers from Hang Guo's perspective

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

Their papers

• MambaIR: A Simple Baseline for Image Restoration with State-Space Model (2024) — 801 citations