Yong-Jin Lee

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Artificial Intelligence — 18 citations into it

Whom Yong-Jin Lee trusts overall

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

1. Vladimir Naumovich Vapnik
2. David G. Lowe
3. Massimo Piccardi
4. Ivan Laptev
5. Eli Shechtman
6. Jianbo Shi
7. Geoffrey E. Hinton
8. Piotr Doll'ar
9. Kevin P. Murphy
10. Lawrence R. Rabiner

Papers from Yong-Jin Lee's perspective

Ordered by how strongly the researchers Yong-Jin 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. Gradient-based learning applied to document recognition
4. Histograms of oriented gradients for human detection
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Distinctive Image Features from Scale-Invariant Keypoints
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Going deeper with convolutions
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• A Review on Video-Based Human Activity Recognition (2013) — 435 citations