SangUk Han

Computer Vision and Pattern Recognition · 2013–2015

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it

Whom SangUk Han trusts overall

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

1. Ronald Poppe
2. Navneet Dalal
3. Andrew Zisserman
4. David G. Lowe

Who trusts SangUk Han overall

1. Yangming Shi
2. Weili Fang
3. Jing Du
4. L. Ding
5. Changbum Ryan Ahn

Papers from SangUk Han's perspective

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

Their papers

• Computer vision techniques for construction safety and health monitoring (2015) — 513 citations
• A vision-based motion capture and recognition framework for behavior-based safety management (2013) — 343 citations