Lvmin Zhang

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 344 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 74 citations into it; #8,354 of 21,575 by trust here, #5,464 by citations
• Generative Models — 39 citations into it; #854 of 1,956 by trust here, #595 by citations
• Artificial Intelligence — 29 citations into it
• Multimodal Learning — 17 citations into it; #486 of 1,211 by trust here, #471 by citations
• Computer Graphics and Computer-Aided Design — 8 citations into it
• Statistical and Nonlinear Physics — 8 citations into it; #3,186 of 10,127 by trust here, #963 by citations
• Efficiency & Compression — 7 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Lvmin Zhang trusts overall

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

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

Who trusts Lvmin Zhang overall

1. Xintao Wang
2. Duygu Ceylan
3. Dongxu Li
4. Tao Yang
5. Michal Geyer
6. Hu Ye
7. Jing Shi
8. Shuai Yang
9. Shiwei Zhang
10. Jay Zhangjie Wu

Papers from Lvmin Zhang's perspective

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

Their papers

• Adding Conditional Control to Text-to-Image Diffusion Models (2023) — 7,354 citations