Jenny Lee

Computer Vision and Pattern Recognition · with Alkasab · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it

Whom Jenny Lee trusts overall

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

1. Yann LeCun
2. Karen Simonyan
3. Matthew D. Zeiler
4. Geoffrey E. Hinton
5. Andrew Zisserman
6. Alex Krizhevsky
7. Yoshua Bengio

Papers from Jenny Lee's perspective

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

Their papers

• Fully Automated Deep Learning System for Bone Age Assessment (2017) — 426 citations