Kwang Hee Lee

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 358 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it; #11,381 of 21,575 by trust here, #17,757 by citations
• Generative Models — 12 citations into it; #1,051 of 1,956 by trust here, #1,748 by citations
• Computer Graphics and Computer-Aided Design — 7 citations into it

Whom Kwang Hee Lee trusts overall

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

1. Diederik P. Kingma
2. Leon A. Gatys
3. Karen Simonyan
4. Dmitry Ulyanov
5. Geoffrey E. Hinton
6. Chuan Li
7. Kaiming He
8. Alex Krizhevsky
9. Ross B. Girshick
10. Andrew Zisserman

Who trusts Kwang Hee Lee overall

1. Patrick Esser
2. Xiaolei Wu
3. Yingying Deng
4. Songhua Liu

Papers from Kwang Hee Lee's perspective

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

Their papers

• Arbitrary Style Transfer With Style-Attentional Networks (2018) — 495 citations