Hui Shen

Computer Vision and Pattern Recognition · with Yang · 2018

A researcher in the Science corpus: 1 paper; trusts 127 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it
• Aerospace Engineering — 8 citations into it
• Information Retrieval & Search — 8 citations into it

Whom Hui Shen trusts overall

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

1. David G. Lowe
2. Andrew Zisserman
3. Alex Krizhevsky
4. Karen Simonyan
5. Geoffrey E. Hinton
6. Josef Sivic
7. Cordelia Schmid
8. Herv'e J'egou
9. Kaiming He
10. Ilya Sutskever

Papers from Hui Shen's perspective

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

Their papers

• Dynamic Match Kernel With Deep Convolutional Features for Image Retrieval (2018) — 35 citations