Fan Fan

Computer Vision and Pattern Recognition · with Lee · 2017

A researcher in the Science corpus: 1 paper; trusts 73 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it; #11,334 of 21,575 by trust here, #15,955 by citations
• Generative Models — 23 citations into it
• Artificial Intelligence — 15 citations into it; #18,177 of 35,345 by trust here, #24,417 by citations
• Model Architectures — 8 citations into it
• Probabilistic & Bayesian Methods — 8 citations into it; #993 of 1,525 by trust here, #1,136 by citations
• Optimization & Training — 6 citations into it

Whom Fan Fan trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yann LeCun
4. Diederik P. Kingma
5. Kaiming He
6. Jimmy Ba
7. Yoshua Bengio
8. Ian J. Goodfellow
9. Ilya Sutskever
10. Zhuowen Tu

Who trusts Fan Fan overall

1. Erik Nijkamp
2. Jianwen Xie
3. Song-Chun Zhu
4. Ruiqi Gao
5. Ying Nian Wu

Papers from Fan Fan's perspective

Ordered by how strongly the researchers Fan Fan 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Going deeper with convolutions
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Wasserstein Introspective Neural Networks (2017) — 61 citations