Chaofan CHEN

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 136 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it; #18,257 of 21,575 by trust here, #18,266 by citations
• Artificial Intelligence — 23 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Chaofan CHEN trusts overall

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

1. Geoffrey E. Hinton
2. Karen Simonyan
3. Diederik P. Kingma
4. Ross B. Girshick
5. Alex Krizhevsky
6. Kamaledin Ghiasi-Shirazi
7. Yoshua Bengio
8. Andrew Zisserman
9. Kaiming He
10. Yann LeCun

Who trusts Chaofan CHEN overall

1. Meike Nauta
2. Saidul Islam
3. Christin Seifert
4. Ron van Bree
5. Annemarie Jutte

Papers from Chaofan CHEN's perspective

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

Their papers

• This Looks Like That: Deep Learning for Interpretable Image Recognition (2018)