Il Dong Yun

Computer Vision and Pattern Recognition · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 68 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it; #14,052 of 21,575 by trust here, #18,782 by citations
• Reinforcement Learning — 9 citations into it
• Human-Computer Interaction — 7 citations into it

Whom Il Dong Yun trusts overall

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

1. Richard S. Sutton
2. Volodymyr Mnih
3. Vijay R. Konda
4. Ronald J. Williams
5. Florin C. Ghesu
6. Jamie Shotton
7. Geoffrey E. Hinton
8. Alex Graves
9. John N. Tsitsiklis
10. Juergen Gall

Who trusts Il Dong Yun overall

1. Chao Yu

Papers from Il Dong Yun's perspective

Ordered by how strongly the researchers Il Dong Yun 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. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Random tree walk toward instantaneous 3D human pose estimation (2015) — 96 citations
• Partial Policy-Based Reinforcement Learning for Anatomical Landmark Localization in 3D Medical Images (2018) — 51 citations