Jin Han Lee

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 199 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it
• Artificial Intelligence — 9 citations into it
• Aerospace Engineering — 7 citations into it

Whom Jin Han Lee trusts overall

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

1. Diederik P. Kingma
2. Ross B. Girshick
3. Kaiming He
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. David Eigen
7. Rob Fergus
8. Yoshua Bengio
9. Karen Simonyan
10. Yann LeCun

Who trusts Jin Han Lee overall

1. Shariq Farooq Bhat
2. Zhenyu Li
3. Cody Reading
4. Dennis Park
5. Weihao Yuan
6. Yi Wei
7. Yue Wang
8. Luigi Piccinelli
9. Vitor Campanholo Guizilini
10. Ibraheem Alhashim

Papers from Jin Han Lee's perspective

Ordered by how strongly the researchers Jin Han Lee 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
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

• From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation (2019) — 812 citations