Younghee Kwon

Computer Vision and Pattern Recognition · 2010

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 182 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it; #2,631 of 21,575 by trust here, #8,502 by citations

Whom Younghee Kwon trusts overall

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

1. William T. Freeman
2. David Tschumperlé
3. Egon C. Pasztor
4. Rachid Deriche

Who trusts Younghee Kwon overall

1. Chao Dong
2. Jiwon Kim
3. Jia-Bin Huang
4. Wei-Sheng Lai
5. Zhaowen Wang
6. Chih-Yuan Yang
7. Radu Timofte
8. Chao Ma
9. Chen Change Loy
10. Ming-Hsuan Yang

Papers from Younghee Kwon's perspective

Ordered by how strongly the researchers Younghee Kwon 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. Learning Low-Level Vision
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Limits on super-resolution and how to break them
10. Example-Based Super-Resolution

Their papers

• Single-Image Super-Resolution Using Sparse Regression and Natural Image Prior (2010) — 993 citations