Jungseul Ok

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it
• Artificial Intelligence — 5 citations into it
• Computer Science Applications — 5 citations into it

Whom Jungseul Ok trusts overall

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

1. Ross B. Girshick
2. Judea Pearl
3. Tom Minka
4. Alan M. Frieze
5. Shaoqing Ren
6. Jia Deng
7. Kaiming He
8. David R Karger
9. Geoffrey E. Hinton
10. Alex Krizhevsky

Papers from Jungseul Ok's perspective

Ordered by how strongly the researchers Jungseul Ok 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Efficient Learning for Crowdsourced Regression (2017) — 3 citations