Jin Young Choi

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 139 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Artificial Intelligence — 10 citations into it
• Reinforcement Learning — 6 citations into it

Whom Jin Young Choi trusts overall

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

1. Ronald J. Williams
2. Martin Danelljan
3. Geoffrey E. Hinton
4. Andrea Vedaldi
5. Yi Wu
6. David Silver
7. Alex Krizhevsky
8. Karen Simonyan
9. Naiyan Wang
10. Helmut Grabner

Papers from Jin Young Choi's perspective

Ordered by how strongly the researchers Jin Young Choi trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. ImageNet Large Scale Visual Recognition Challenge
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning (2017) — 509 citations