Justin Lee

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it
• Atomic and Molecular Physics, and Optics — 9 citations into it
• Media Technology — 7 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Justin Lee trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Geoffrey E. Hinton
4. Li Deng
5. Myung K. Kim
6. Yoshua Bengio
7. David E. Rumelhart
8. Kaiming He
9. Gary B. Huang
10. Olga Russakovsky

Who trusts Justin Lee overall

1. Meng Lyu
2. Matthew Tancik
3. Yair Rivenson

Papers from Justin Lee's perspective

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

Their papers

• Imaging through glass diffusers using densely connected convolutional networks (2017) — 345 citations
• Lensless computational imaging through deep learning (2017) — 588 citations