Hyong-Keun Kook

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 282 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Artificial Intelligence — 15 citations into it
• Model Architectures — 6 citations into it

Whom Hyong-Keun Kook trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yoshua Bengio
6. Karen Simonyan
7. Christian Szegedy
8. Tsung-Yi Lin
9. Shaoqing Ren
10. Yann LeCun

Who trusts Hyong-Keun Kook overall

1. Yu-Huan Wu
2. Kemal Oksuz

Papers from Hyong-Keun Kook's perspective

Ordered by how strongly the researchers Hyong-Keun Kook 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
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

• Parallel Feature Pyramid Network for Object Detection (2018) — 286 citations