Mu Li

Computer Vision and Pattern Recognition · with Gu · 2017

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it; #14,821 of 21,575 by trust here, #14,478 by citations
• Efficiency & Compression — 7 citations into it
• Media Technology — 6 citations into it

Whom Mu Li trusts overall

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

1. Zhou Wang
2. Gregory K. Wallace
3. Lucas Theis
4. Alex Krizhevsky
5. Jia Deng
6. Chao Dong
7. Geoffrey E. Hinton
8. Kaiming He
9. Diederik P. Kingma
10. Eero P. Simoncelli

Who trusts Mu Li overall

1. Fabian Mentzer
2. Eirikur Agustsson
3. David C. Minnen
4. Michael Tschannen
5. AmirHossein Habibian
6. Zhengxue Cheng
7. Hiroki Tokunaga
8. Tong Chen
9. Dailan He
10. George Toderici

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

Their papers

• Learning Convolutional Networks for Content-Weighted Image Compression (2017) — 418 citations