Lidan Shou

Computer Vision and Pattern Recognition · 2014–2022

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it

Whom Lidan Shou trusts overall

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

1. David G. Lowe
2. Herv'e J'egou
3. Alex Krizhevsky
4. Kaiming He
5. Ondřej Chum
6. Andrew Zisserman
7. Josef Sivic

Papers from Lidan Shou's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Learning Multiple Layers of Features from Tiny Images
3. ImageNet classification with deep convolutional neural networks
4. Distinctive Image Features from Scale-Invariant Keypoints
5. Et al
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Long Short-Term Memory

Their papers

• Continual Federated Learning Based on Knowledge Distillation (2022) — 132 citations
• The knowing camera 2: recognizing and annotating places-of-interest in smartphone photos (2014) — 10 citations