Yuchao Gu

Computer Vision and Pattern Recognition · 2022–2024

A researcher in the Science corpus: 4 papers; trusts 178 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 166 citations into it
• Generative Models — 82 citations into it
• Artificial Intelligence — 73 citations into it
• Computer Graphics and Computer-Aided Design — 27 citations into it
• Statistical and Nonlinear Physics — 17 citations into it

Whom Yuchao Gu trusts overall

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

1. Diederik P. Kingma
2. Jonathan Ho
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yoshua Bengio
6. Kaiming He
7. Jimmy Ba
8. Alec Radford
9. Yann LeCun
10. Ilya Sutskever

Papers from Yuchao Gu's perspective

Ordered by how strongly the researchers Yuchao Gu 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. GENERATIVE ADVERSARIAL NETS
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation (2022) — 1,179 citations
• Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation (2023) — 353 citations
• Show-o: One Single Transformer to Unify Multimodal Understanding and Generation (2024) — 730 citations
• Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models (2023) — 316 citations