Chen Kan

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 41 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it; #18,745 of 21,575 by trust here, #18,782 by citations
• Aerospace Engineering — 6 citations into it; #5,385 of 6,421 by trust here, #5,172 by citations

Whom Chen Kan trusts overall

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

1. Derek Hoiem
2. Varsha Hedau
3. Nathan Silberman
4. David C. Lee
5. Martial Hebert
6. Xiaofeng Ren
7. Alexei A. Efros
8. Geoffrey E. Hinton
9. Ioannis Tsochantaridis
10. Jitendra Malik

Who trusts Chen Kan overall

1. Zhile Ren
2. David Stutz

Papers from Chen Kan's perspective

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

Their papers

• Estimating the 3D Layout of Indoor Scenes and Its Clutter from Depth Sensors (2013) — 78 citations