Jangwon Lee

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 100 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Control and Systems Engineering — 17 citations into it; #1,601 of 8,257 by trust here, #4,514 by citations
• Artificial Intelligence — 15 citations into it; #10,231 of 35,345 by trust here, #24,417 by citations
• Reinforcement Learning — 7 citations into it
• Social Psychology — 6 citations into it
• Human-Computer Interaction — 5 citations into it

Whom Jangwon Lee trusts overall

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

1. Sergey Levine
2. Ross B. Girshick
3. Alex Krizhevsky
4. Stefanos Nikolaidis
5. Yann LeCun
6. Geoffrey E. Hinton
7. Yoshua Bengio
8. Kaiming He
9. Diederik P. Kingma
10. Morgan Quigley

Who trusts Jangwon Lee overall

1. Harish Chaandar Ravichandar
2. Pranav Singh Chib
3. Akanksha Saran
4. Ashwin P. Dani
5. Pravendra Singh
6. Ruohan Zhang
7. M. Mohammadi
8. Elaine Schaertl Short
9. Pratyusha Sharma
10. Laura M. Smith

Papers from Jangwon Lee's perspective

Ordered by how strongly the researchers Jangwon 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• A survey of robot learning from demonstrations for Human-Robot Collaboration (2017) — 232 citations
• Real-Time, Cloud-Based Object Detection for Unmanned Aerial Vehicles (2017) — 138 citations