Zhao-Min Chen

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 3 papers; trusts 325 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 93 citations into it; #13,168 of 21,575 by trust here, #9,187 by citations
• Artificial Intelligence — 78 citations into it; #21,243 of 35,345 by trust here, #13,353 by citations
• Representation & Self-Supervised Learning — 33 citations into it
• Model Architectures — 17 citations into it
• Evaluation & Benchmarks — 16 citations into it
• Optimization & Training — 16 citations into it
• Signal Processing — 6 citations into it

Whom Zhao-Min Chen trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Ross B. Girshick
5. Yoshua Bengio
6. Karen Simonyan
7. Yann LeCun
8. Diederik P. Kingma
9. Jia Deng
10. Ilya Sutskever

Who trusts Zhao-Min Chen overall

1. Chris Dongjoo Kim
2. Jack Lanchantin
3. Harsh Shrivastava
4. Tong Wu
5. Jinseo Jeong
6. Tianlu Wang
7. Yifang Yin
8. Qingqiu Huang
9. Fan Lyu

Papers from Zhao-Min Chen's perspective

Ordered by how strongly the researchers Zhao-Min Chen 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. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition (2019) — 993 citations
• Multi-Label Image Recognition With Graph Convolutional Networks (2019) — 1,230 citations
• Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective (2022) — 20 citations