Jianshu Li

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 292 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 58 citations into it; #8,625 of 21,575 by trust here, #6,426 by citations
• Artificial Intelligence — 35 citations into it; #25,193 of 35,345 by trust here, #11,327 by citations
• Model Architectures — 14 citations into it; #1,043 of 2,278 by trust here, #906 by citations
• Endocrinology, Diabetes and Metabolism — 5 citations into it

Whom Jianshu Li trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Alex Krizhevsky
4. Karen Simonyan
5. Andrew Zisserman
6. Geoffrey E. Hinton
7. João Carreira
8. Ilya Sutskever
9. Yann LeCun
10. X. Zhang

Who trusts Jianshu Li overall

1. Yunpeng Chen
2. Christoph Feichtenhofer
3. Gedas Bertasius
4. Heng Wang
5. Du Tran
6. Li Yuan
7. Lorenzo Torresani

Papers from Jianshu Li's perspective

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

Their papers

• A2-Nets: Double Attention Networks (2018) — 608 citations
• Multi-Fiber Networks for Video Recognition (2018) — 235 citations