Feng Yuan

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 77 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 55 citations into it
• Generative Models — 48 citations into it
• Probabilistic & Bayesian Methods — 8 citations into it
• Media Technology — 5 citations into it

Whom Feng Yuan trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Diederik P. Kingma
5. Yann LeCun
6. Ruslan Salakhutdinov
7. Kaiming He
8. Ilya Sutskever
9. Karen Simonyan
10. Radford M. Neal

Papers from Feng Yuan's perspective

Ordered by how strongly the researchers Feng 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. GENERATIVE ADVERSARIAL NETS
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Recent Progress on Generative Adversarial Networks (GANs): A Survey (2019) — 552 citations