Aaron Chan

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 79 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it; #19,724 of 21,575 by trust here, #13,542 by citations
• Aerospace Engineering — 16 citations into it; #5,669 of 6,421 by trust here, #3,175 by citations

Whom Aaron Chan trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. David G. Lowe
4. Yann LeCun
5. Geoffrey E. Hinton
6. Ross B. Girshick
7. Shaoqing Ren
8. Ilya Sutskever
9. Jitendra Malik
10. Yoshua Bengio

Who trusts Aaron Chan overall

1. Dieter Fox
2. Qi-Xing Huang

Papers from Aaron Chan's perspective

Ordered by how strongly the researchers Aaron Chan 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. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Distinctive Image Features from Scale-Invariant Keypoints
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• 6-DoF object pose from semantic keypoints (2017) — 424 citations