Boyan Zhou

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 217 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 70 citations into it; #13,189 of 21,575 by trust here, #11,721 by citations
• Artificial Intelligence — 58 citations into it; #21,255 of 35,345 by trust here, #17,412 by citations
• Representation & Self-Supervised Learning — 29 citations into it
• Optimization & Training — 15 citations into it
• Evaluation & Benchmarks — 13 citations into it
• Model Architectures — 7 citations into it
• Signal Processing — 6 citations into it

Whom Boyan Zhou trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Ross B. Girshick
4. Geoffrey E. Hinton
5. Tsung-Yi Lin
6. Yoshua Bengio
7. Yann LeCun
8. Ilya Sutskever
9. X. Zhang
10. Piotr Doll'ar

Who trusts Boyan Zhou overall

1. Zhisheng Zhong
2. Jiequan Cui
3. Yuzhe Yang
4. Kaihua Tang
5. Meike Nauta
6. Shaoyu Zhang
7. Peng Wang
8. Rahul Duggal
9. Youngkyu Hong
10. Zhi Xu

Papers from Boyan Zhou's perspective

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

Their papers

• BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition (2019) — 993 citations
• Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective (2022) — 20 citations