Bin Cheng

Computer Vision and Pattern Recognition · with Huang · 2010–2011

A researcher in the Science corpus: 3 papers; trusts 45 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Artificial Intelligence — 8 citations into it
• Computational Mechanics — 7 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Bin Cheng trusts overall

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

1. Jianbo Shi
2. Jitendra Malik
3. Mikhail Belkin
4. David L. Donoho
5. Xiaofei He
6. Pablo Arbeláez
7. Zhouchen Lin
8. Ian T. Jolliffe
9. Partha Niyogi
10. Guangcan Liu

Who trusts Bin Cheng overall

1. Jia-geng Feng
2. Jun Xiao
3. Guangcan Liu
4. Xiaochun Cao
5. Changqing Zhang
6. Liansheng Zhuang
7. Zhouchen Lin
8. Yu Zhang
9. Yi Ma
10. Huan Fu

Papers from Bin Cheng's perspective

Ordered by how strongly the researchers Bin Cheng 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. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Learning With $\ell ^{1}$-Graph for Image Analysis (2010) — 552 citations
• Multi-task low-rank affinity pursuit for image segmentation (2011) — 220 citations
• Learning With ℓ1-Graph for Image Analysis (2010) — 296 citations