Le Hui

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 85 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Model Architectures — 7 citations into it
• Artificial Intelligence — 6 citations into it

Whom Le Hui trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Andrew L. Maas
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Ross B. Girshick
7. Karen Simonyan
8. Jimmy Ba
9. Jitendra Malik
10. Yoshua Bengio

Papers from Le Hui's perspective

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

Their papers

• Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal (2017) — 517 citations