Nan Liu
Computer Vision and Pattern Recognition · with Du · 2022
A researcher in the Science corpus: 1 paper; trusts 55 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 37 citations into it; #16,713 of 21,575 by trust here, #11,498 by citations
- Generative Models — 32 citations into it; #1,585 of 1,956 by trust here, #1,271 by citations
- Artificial Intelligence — 15 citations into it
- Statistical and Nonlinear Physics — 10 citations into it
Whom Nan Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Nichol
- Yilun Du
- Yann LeCun
- Jonathan Ho
- Alex Krizhevsky
- Yoshua Bengio
- Tero Karras
- Kaiming He
Who trusts Nan Liu overall
- Yilun Du
- Tim Brooks
- Shuang Li
- Narek Tumanyan
- Kevin Black
- D. Epstein
- Anurag Ajay
- Hila Chefer
- Kaiyi Huang
- Yushi Hu
Papers from Nan Liu's perspective
Ordered by how strongly the researchers Nan Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Compositional Visual Generation with Composable Diffusion Models (2022) — 742 citations