Kwanghee Lee

Computer Vision and Pattern Recognition · with Kang · 2019

A researcher in the Science corpus: 1 paper; trusts 221 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it; #14,774 of 21,575 by trust here, #15,529 by citations
• Generative Models — 22 citations into it; #1,396 of 1,956 by trust here, #1,601 by citations
• Artificial Intelligence — 6 citations into it

Whom Kwanghee Lee trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Kaiming He
4. Alex Krizhevsky
5. Christian Szegedy
6. Jimmy Ba
7. Yoshua Bengio
8. Yann LeCun
9. Xun Huang
10. Ming-Yu Liu

Who trusts Kwanghee Lee overall

1. Li Luo

Papers from Kwanghee Lee's perspective

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

Their papers

• U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (2019) — 641 citations