Bo Li

Computer Vision and Pattern Recognition · with Lai · 2022

A researcher in the Science corpus: 1 paper; trusts 178 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it
• Generative Models — 31 citations into it
• Artificial Intelligence — 9 citations into it
• Statistical and Nonlinear Physics — 6 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Bo 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. Yoshua Bengio
5. Kaiming He
6. Yann LeCun
7. Phillip Isola
8. Ilya Sutskever
9. Jonathan Ho
10. Alex Graves

Papers from Bo Li's perspective

Ordered by how strongly the researchers Bo 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. 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. GENERATIVE ADVERSARIAL NETS

Their papers

• BBDM: Image-to-Image Translation with Brownian Bridge Diffusion Models (2022) — 335 citations