Haoyu Chen

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 139 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 70 citations into it
• Media Technology — 33 citations into it
• Artificial Intelligence — 19 citations into it
• Evaluation & Benchmarks — 13 citations into it
• Model Architectures — 13 citations into it
• Graph Learning — 5 citations into it

Whom Haoyu Chen trusts overall

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

1. Alex Krizhevsky
2. Karen Simonyan
3. Geoffrey E. Hinton
4. Kaiming He
5. Barret Zoph
6. Yoshua Bengio
7. Diederik P. Kingma
8. Ilya Sutskever
9. Richard Zhang
10. Hamid R. Sheikh

Papers from Haoyu Chen's perspective

Ordered by how strongly the researchers Haoyu Chen 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
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

• PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration (2020) — 298 citations
• Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching (2019) — 367 citations