Fan Dai

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 44 citations into it
• Artificial Intelligence — 26 citations into it
• Optimization & Training — 5 citations into it

Whom Fan Dai trusts overall

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

1. Geoffrey E. Hinton
2. David G. Lowe
3. Yi Yang
4. Yann LeCun
5. Kaiming He
6. Alex Krizhevsky
7. Yoshua Bengio
8. Matthew D. Zeiler
9. Richard S. Sutton

Papers from Fan Dai's perspective

Ordered by how strongly the researchers Fan Dai 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Distinctive Image Features from Scale-Invariant Keypoints
6. ImageNet: A large-scale hierarchical image database
7. Histograms of oriented gradients for human detection
8. Attention is All you Need (Neural Information Processing Systems)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• Training Small Networks for Scene Classification of Remote Sensing Images via Knowledge Distillation (2018) — 76 citations