Chun-Han Yao

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 138 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it
• Artificial Intelligence — 20 citations into it

Whom Chun-Han Yao trusts overall

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

1. Ross B. Girshick
2. Geoffrey E. Hinton
3. Kaiming He
4. Alex Krizhevsky
5. Judy Hoffman
6. Yoshua Bengio
7. Yann LeCun
8. Diederik P. Kingma
9. Shaoqing Ren
10. Karen Simonyan

Papers from Chun-Han Yao's perspective

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

Their papers

• Progressive Domain Adaptation for Object Detection (2019) — 369 citations