Xuewei Li

Computer Vision and Pattern Recognition · 2020–2023

A researcher in the Science corpus: 2 papers; trusts 148 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 83 citations into it
• Artificial Intelligence — 54 citations into it
• Generative Models — 32 citations into it
• Optimization & Training — 10 citations into it
• Model Architectures — 7 citations into it

Whom Xuewei Li trusts overall

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

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

Papers from Xuewei Li's perspective

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

Their papers

• LayoutDiffusion: Controllable Diffusion Model for Layout-to-Image Generation (2023) — 352 citations
• Few-Shot Class-Incremental Learning via Feature Space Composition (2020) — 6 citations