Cheng-Han Lee

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 158 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it; #9,343 of 21,575 by trust here, #8,296 by citations
• Generative Models — 21 citations into it
• Artificial Intelligence — 6 citations into it

Whom Cheng-Han Lee trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Karen Simonyan
4. Sergey Ioffe
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Andrew Zisserman
8. Christian Szegedy
9. Yoshua Bengio
10. Yann LeCun

Who trusts Cheng-Han Lee overall

1. Weihao Xia
2. Li Luo
3. Anpei Chen
4. Tianyi Wei
5. Yujiu Yang
6. Jongheon Jeong
7. Peihao Zhu
8. Dongdong Chen
9. Daiqing Li
10. Zhipeng Bao

Papers from Cheng-Han Lee's perspective

Ordered by how strongly the researchers Cheng-Han Lee trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
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

• MaskGAN: Towards Diverse and Interactive Facial Image Manipulation (2019) — 1,287 citations