Li Wan

Computer Vision and Pattern Recognition · with Fergus · 2013–2014

A researcher in the Science corpus: 2 papers; trusts 88 researchers and is trusted by 65 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it; #5,890 of 21,575 by trust here, #13,269 by citations
• Artificial Intelligence — 12 citations into it

Whom Li Wan trusts overall

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

1. Geoffrey E. Hinton
2. Yann LeCun
3. Matthew D. Zeiler
4. Alex Krizhevsky
5. Rob Fergus
6. Ross B. Girshick
7. David John Cameron MacKay
8. Christian Szegedy
9. Yoshua Bengio
10. Ilya Sutskever

Who trusts Li Wan overall

1. Yoshua Bengio
2. Quoc V. Le
3. Yann LeCun
4. Wanli Ouyang
5. Chunyuan Li
6. Zhe Gan
7. Kaiming He
8. Richard Socher
9. Xiaogang Wang
10. Qiang Liu

Papers from Li Wan's perspective

Ordered by how strongly the researchers Li Wan 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. Gradient-based learning applied to document 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. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• End-to-end integration of a Convolutional Network, Deformable Parts Model and non-maximum suppression (2014) — 100 citations
• Regularization of Neural Networks using DropConnect (2013) — 2,649 citations