Xudong Li

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 70 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it
• Artificial Intelligence — 31 citations into it
• Model Architectures — 13 citations into it
• Efficiency & Compression — 7 citations into it

Whom Xudong Li trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Mingxing Tan
4. Quoc V. Le
5. Geoffrey E. Hinton
6. Christian Szegedy
7. Tsung-Yi Lin
8. Barret Zoph
9. Ross B. Girshick
10. Karen Simonyan

Papers from Xudong Li's perspective

Ordered by how strongly the researchers Xudong Li 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. ImageNet classification with deep convolutional neural networks
3. ImageNet: A large-scale hierarchical image database
4. Learning Multiple Layers of Features from Tiny Images
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Microsoft COCO: Common Objects in Context
10. Going deeper with convolutions

Their papers

• SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture Search (2019) — 27 citations