Jungmin Lee

Computer Vision and Pattern Recognition · with Cho · 2010

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it; #11,875 of 21,575 by trust here, #16,787 by citations

Whom Jungmin Lee trusts overall

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

1. David G. Lowe
2. Marius Leordeanu
3. Jon M. Kleinberg
4. Taher H. Haveliwala
5. Ron Zass
6. Amy Nicole Langville
7. Martial Hebert
8. Lorenzo Torresani
9. Jiri Matas
10. Olivier Duchenne

Who trusts Jungmin Lee overall

1. Feng Zhou
2. Xingyu Jiang
3. Jiayi Ma
4. Vincent Leroy
5. Minsu Cho
6. Yurun Tian

Papers from Jungmin Lee's perspective

Ordered by how strongly the researchers Jungmin 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Going deeper with convolutions
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet Large Scale Visual Recognition Challenge
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Reweighted Random Walks for Graph Matching (2010) — 540 citations