Yuanzhen Li

Computer Vision and Pattern Recognition · with Rubinstein · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 110 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 118 citations into it
• Generative Models — 83 citations into it

Whom Yuanzhen Li trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Kaiming He
5. Yoshua Bengio
6. Karen Simonyan
7. Yann LeCun
8. Ilya Sutskever
9. Individualized Treat
10. Tero Karras

Who trusts Yuanzhen Li overall

1. Nupur Kumari
2. Xintao Wang
3. Dongxu Li
4. Lvmin Zhang
5. Tim Brooks

Papers from Yuanzhen Li's perspective

Ordered by how strongly the researchers Yuanzhen 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. GENERATIVE ADVERSARIAL NETS
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation (2022) — 4,398 citations
• Muse: Text-To-Image Generation via Masked Generative Transformers (2023) — 783 citations