Kisuk Lee

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it
• Artificial Intelligence — 10 citations into it

Whom Kisuk Lee trusts overall

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

1. Marina Meila
2. Vincent Dumoulin
3. Pablo Arbeláez
4. Olaf Ronneberger
5. Kaiming He
6. Fausto Milletarì
7. Tao Zeng
8. Yangqing Jia
9. Geoffrey E. Hinton
10. Alex Krizhevsky

Who trusts Kisuk Lee overall

1. Hanting Chen
2. Siqi Liu

Papers from Kisuk Lee's perspective

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

Their papers

• Superhuman Accuracy on the SNEMI3D Connectomics Challenge (2017) — 321 citations