Yue Wu

Computer Vision and Pattern Recognition · with Chen · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 49 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 68 citations into it
• Generative Models — 23 citations into it

Whom Yue Wu trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Kaiming He
4. Alex Krizhevsky
5. Yoshua Bengio
6. Ilya Loshchilov
7. Yann LeCun
8. Saining Xie
9. Ross B. Girshick
10. Ilya Sutskever

Papers from Yue Wu's perspective

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

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

Their papers

• PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis (2023) — 927 citations
• PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation (2024) — 340 citations