Kaitao Xue

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 Kaitao Xue 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 Kaitao Xue's perspective

Ordered by how strongly the researchers Kaitao Xue 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

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