Hyunkwang Lee

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it

Whom Hyunkwang Lee trusts overall

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

1. Yann LeCun
2. Karen Simonyan
3. Geoffrey E. Hinton
4. Matthew D. Zeiler
5. Andrew Zisserman
6. Christian Szegedy
7. Alex Krizhevsky
8. Yoshua Bengio
9. Kaiming He
10. Jia Deng

Papers from Hyunkwang Lee's perspective

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

Their papers

• An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets (2018) — 384 citations
• Fully Automated Deep Learning System for Bone Age Assessment (2017) — 426 citations