Liang Chen

Computer Vision and Pattern Recognition · with Kuo · 2017

A researcher in the Science corpus: 1 paper; trusts 114 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it
• Artificial Intelligence — 10 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Liang Chen trusts overall

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

1. Karen Simonyan
2. Judy Hoffman
3. Geoffrey E. Hinton
4. Andrew Zisserman
5. Alex Krizhevsky
6. Kaiming He
7. Rob Fergus
8. Ross B. Girshick
9. Trevor Darrell
10. David Eigen

Who trusts Liang Chen overall

1. Yawei Luo

Papers from Liang Chen's perspective

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

Their papers

• A Fully Convolutional Tri-Branch Network (FCTN) for Domain Adaptation (2017) — 25 citations