Yi-Hsin Chen

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 96 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it
• Artificial Intelligence — 21 citations into it

Whom Yi-Hsin Chen trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Antonio Torralba
4. Alex Krizhevsky
5. Kaiming He
6. Yann LeCun
7. Yoshua Bengio
8. Ming-Yu Liu
9. Ross B. Girshick
10. Jimmy Ba

Who trusts Yi-Hsin Chen overall

1. Yang Zou
2. Serban Stan
3. Yuhua Chen
4. Jian Liang
5. Yuxi Wang
6. Minghao Chen
7. Qiming Zhang
8. Jiahua Dong
9. Yun-Chun Chen
10. Weixiang Hong

Papers from Yi-Hsin Chen's perspective

Ordered by how strongly the researchers Yi-Hsin 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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

• No More Discrimination: Cross City Adaptation of Road Scene Segmenters (2017) — 359 citations