Sang Uk Lee

Computer Vision and Pattern Recognition · 2008–2010

A researcher in the Science corpus: 3 papers; trusts 264 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 48 citations into it; #8,119 of 21,575 by trust here, #13,269 by citations
• Media Technology — 9 citations into it; #2,040 of 3,621 by trust here, #3,091 by citations
• Representation & Self-Supervised Learning — 5 citations into it

Whom Sang Uk Lee trusts overall

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

1. Leo J. Grady
2. Pablo Arbeláez
3. Jitendra Malik
4. Yuri Boykov
5. Jianbo Shi
6. Pedro F. Felzenszwalb
7. Ali Kemal Sinop
8. Hanghang Tong
9. Charless C. Fowlkes
10. Michael Maire

Who trusts Sang Uk Lee overall

1. Tae Hoon Kim
2. Zheng Lin
3. Won-Dong Jang

Papers from Sang Uk Lee's perspective

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

Their papers

• Learning full pairwise affinities for spectral segmentation (2010) — 177 citations
• Nonparametric higher-order learning for interactive segmentation (2010) — 86 citations
• Generative Image Segmentation Using Random Walks with Restart (2008) — 160 citations