Jia Li

Computer Vision and Pattern Recognition · with Luo · 2016

A researcher in the Science corpus: 1 paper; trusts 170 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it
• Aerospace Engineering — 11 citations into it
• Artificial Intelligence — 8 citations into it

Whom Jia Li trusts overall

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

1. David G. Lowe
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Karen Simonyan
6. Ross B. Girshick
7. Andreas Geiger
8. Yann LeCun
9. Yoshua Bengio
10. Diederik P. Kingma

Papers from Jia Li's perspective

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

Their papers

• AutoScaler: Scale-Attention Networks for Visual Correspondence (2016) — 19 citations