Can Yang

Computer Vision and Pattern Recognition · with Wang · 2021

A researcher in the Science corpus: 1 paper; trusts 55 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it; #20,065 of 21,575 by trust here, #18,782 by citations
• Generative Models — 30 citations into it
• Artificial Intelligence — 19 citations into it; #32,722 of 35,345 by trust here, #29,412 by citations
• Probabilistic & Bayesian Methods — 8 citations into it
• Signal Processing — 7 citations into it

Whom Can Yang trusts overall

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

1. Diederik P. Kingma
2. Alex Krizhevsky
3. Yang Song
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Yann LeCun
7. Kaiming He
8. Laurent Dinh

Who trusts Can Yang overall

1. Stefano Peluchetti

Papers from Can Yang's perspective

Ordered by how strongly the researchers Can Yang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Learning Multiple Layers of Features from Tiny Images
5. GENERATIVE ADVERSARIAL NETS
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
9. Long Short-Term Memory
10. ImageNet: A large-scale hierarchical image database

Their papers

• Deep Generative Learning via Schrödinger Bridge (2021) — 148 citations