Xingfang Yuan

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Model Architectures — 18 citations into it

Whom Xingfang Yuan trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Yoshua Bengio
4. Alex Krizhevsky

Papers from Xingfang Yuan's perspective

Ordered by how strongly the researchers Xingfang Yuan 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. Going deeper with convolutions
5. ImageNet Large Scale Visual Recognition Challenge
6. Gradient-based learning applied to document recognition
7. Rectified Linear Units Improve Restricted Boltzmann Machines
8. Dropout: a simple way to prevent neural networks from overfitting
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Residual Networks of Residual Networks: Multilevel Residual Networks (2016) — 372 citations