Hee Seok Lee

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 312 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it; #10,699 of 21,575 by trust here, #13,269 by citations
• Artificial Intelligence — 21 citations into it

Whom Hee Seok Lee trusts overall

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

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

Who trusts Hee Seok Lee overall

1. Wentong Li
2. Chien-Yao Wang
3. Chengjian Feng
4. Qiang Chen
5. Xiang-Yang Li
6. Yi-Fan Zhang
7. Liyang Liu
8. Jianke Zhu

Papers from Hee Seok Lee's perspective

Ordered by how strongly the researchers Hee Seok 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
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. Attention is All you Need (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Probabilistic Anchor Assignment with IoU Prediction for Object Detection (2020) — 501 citations