Mu Li

Computer Vision and Pattern Recognition · with Zuo · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 502 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 85 citations into it; #9,670 of 21,575 by trust here, #8,952 by citations
• Generative Models — 31 citations into it
• Artificial Intelligence — 15 citations into it
• Media Technology — 15 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Mu Li trusts overall

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

1. Geoffrey E. Hinton
2. Karen Simonyan
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Andrea Vedaldi
6. Kaiming He
7. Andrew Zisserman
8. Yoshua Bengio
9. Yann LeCun
10. Ilya Sutskever

Who trusts Mu Li overall

1. Zhenliang He
2. Wei Shen
3. Xiang Wang
4. Wangmeng Zuo
5. Cheng-Han Lee
6. Albert Pumarola
7. Ze Yang
8. Yunjey Choi
9. Ming Liu
10. Rujie Liu

Papers from Mu Li's perspective

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

Their papers

• Shift-Net: Image Inpainting via Deep Feature Rearrangement (2018) — 503 citations
• Deep Identity-aware Transfer of Facial Attributes (2016) — 153 citations