Gayoung Lee

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 246 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it; #6,358 of 21,575 by trust here, #10,905 by citations
• Artificial Intelligence — 11 citations into it
• Sensory Systems — 6 citations into it

Whom Gayoung Lee trusts overall

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

1. Ming-Ming Cheng
2. Radhakrishna Achanta
3. Christian Szegedy
4. Kaiming He
5. Ross B. Girshick
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Karen Simonyan
9. Andrew Zisserman
10. Yangqing Jia

Who trusts Gayoung Lee overall

1. Tiantian Wang
2. Huchuan Lu
3. Wenguan Wang
4. Zhe Wu
5. Ting Zhao
6. Pingping Zhang
7. Ali Borji
8. Shuhan Chen
9. Ping Hu
10. Junwei Han

Papers from Gayoung Lee's perspective

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

Their papers

• Deep Saliency with Encoded Low Level Distance Map and High Level Features (2016) — 464 citations
• NSML: A Machine Learning Platform That Enables You to Focus on Your Models (2017) — 89 citations