Caroline Chan

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 126 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it; #12,945 of 21,575 by trust here, #6,795 by citations
• Generative Models — 18 citations into it; #1,189 of 1,956 by trust here, #846 by citations
• Artificial Intelligence — 12 citations into it

Whom Caroline Chan trusts overall

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

1. Alexei A. Efros
2. Ming-Yu Liu
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Alex Krizhevsky
6. Diederik P. Kingma
7. Kaiming He
8. Mehdi Mirza
9. Yoshua Bengio
10. Andrew Zisserman

Who trusts Caroline Chan overall

1. Jian Zhao
2. Ting-Chun Wang
3. Yisroel Mirsky
4. Nantheera Anantrasirichai
5. Oran Gafni
6. Wenqi Xian
7. Jie Gui
8. Zhe Cao
9. Shiry Ginosar
10. Aliaksandr Siarohin

Papers from Caroline Chan's perspective

Ordered by how strongly the researchers Caroline 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
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

• Everybody Dance Now (2018) — 857 citations
• Learning Individual Styles of Conversational Gesture (2019) — 398 citations