Xiaoyue Yin

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 3 papers; trusts 179 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 115 citations into it
• Generative Models — 78 citations into it
• Artificial Intelligence — 53 citations into it
• Statistical and Nonlinear Physics — 8 citations into it

Whom Xiaoyue Yin trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Kaiming He
5. Yoshua Bengio
6. Alec Radford
7. Ilya Sutskever
8. Yann LeCun
9. Karen Simonyan
10. Andrew Zisserman

Papers from Xiaoyue Yin's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. GENERATIVE ADVERSARIAL NETS
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer (2022) — 309 citations
• Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models (2023) — 505 citations
• Make-A-Video: Text-to-Video Generation without Text-Video Data (2022) — 2,111 citations