Li Qi

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 58 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Media Technology — 7 citations into it

Whom Li Qi trusts overall

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

1. Ross B. Girshick
2. David G. Lowe
3. Alex Krizhevsky
4. Karen Simonyan
5. Kaiming He

Papers from Li Qi's perspective

Ordered by how strongly the researchers Li Qi trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Histograms of oriented gradients for human detection
5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
6. Distinctive Image Features from Scale-Invariant Keypoints
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Text/non-text image classification in the wild with convolutional neural networks (2017) — 102 citations