Yunyu Lai

Computer Vision and Pattern Recognition · 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 Yunyu Lai 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. Ilya Sutskever
8. Phillip Isola
9. Jonathan Ho
10. Alex Graves

Papers from Yunyu Lai's perspective

Ordered by how strongly the researchers Yunyu Lai 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. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
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