Sang Wan Lee

Computer Vision and Pattern Recognition · with Chi · 2022

A researcher in the Science corpus: 1 paper; trusts 79 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it
• Artificial Intelligence — 28 citations into it
• Biomedical Engineering — 19 citations into it
• Model Architectures — 7 citations into it

Whom Sang Wan Lee trusts overall

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

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

Papers from Sang Wan Lee's perspective

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

Their papers

• InfoGCN: Representation Learning for Human Skeleton-based Action Recognition (2022) — 334 citations