Yuqiang Fang

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 70 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Yuqiang Fang trusts overall

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

1. Geoffrey E. Hinton
2. Ivan Laptev
3. Yoshua Bengio
4. Yann LeCun
5. Cordelia Schmid
6. Honglak Lee
7. Alex Krizhevsky
8. David G. Lowe
9. Kaiming He
10. Marcin Marszalek

Papers from Yuqiang Fang's perspective

Ordered by how strongly the researchers Yuqiang Fang trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• DL-SFA: Deeply-Learned Slow Feature Analysis for Action Recognition (2014) — 130 citations