L. Li

Computer Vision and Pattern Recognition · with Huang · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 322 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 74 citations into it
• Artificial Intelligence — 43 citations into it
• Model Architectures — 30 citations into it
• Aerospace Engineering — 17 citations into it
• Computational Mechanics — 16 citations into it
• Geology — 11 citations into it
• Optimization & Training — 10 citations into it

Whom L. Li trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Ross B. Girshick
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Yoshua Bengio
7. Yann LeCun
8. Tsung-Yi Lin
9. Ilya Sutskever
10. Karen Simonyan

Papers from L. Li's perspective

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

Their papers

• 3D Object Detection with Pointformer (2020) — 460 citations
• Vision Transformer with Deformable Attention (2022) — 822 citations