Yuanfeng Han

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Artificial Intelligence — 13 citations into it; #21,541 of 35,345 by trust here, #11,192 by citations
• Control and Systems Engineering — 13 citations into it; #4,594 of 8,257 by trust here, #1,139 by citations
• Generative Models — 7 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Yuanfeng Han trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Nitish Srivastava
4. Ruslan Salakhutdinov
5. Ilya Sutskever
6. Diederik P. Kingma
7. Yoshua Bengio
8. Abhinav Kumar Gupta
9. Jia Deng
10. Yann LeCun

Who trusts Yuanfeng Han overall

1. Lerrel Pinto
2. Timothée Lesort
3. Abhinav Kumar Gupta

Papers from Yuanfeng Han's perspective

Ordered by how strongly the researchers Yuanfeng Han 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. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. GENERATIVE ADVERSARIAL NETS
9. Learning Multiple Layers of Features from Tiny Images
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• The Curious Robot: Learning Visual Representations via Physical Interactions (2016) — 195 citations