Huchuan Lu
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 Huchuan Lu trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick (in Computer Vision and Pattern Recognition)
- Kaiming He (in Computer Vision and Pattern Recognition)
- Saining Xie (in Computer Vision and Pattern Recognition)
- Alex Krizhevsky (in Computer Vision and Pattern Recognition)
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
- Piotr Doll'ar (in Computer Vision and Pattern Recognition)
- Jitendra Malik (in Computer Vision and Pattern Recognition)
- Shaoqing Ren (in Computer Vision and Pattern Recognition)
- Li Fei-Fei (in Computer Vision and Pattern Recognition)
- Karen Simonyan (in Computer Vision and Pattern Recognition)
Papers from Huchuan Lu's perspective
Ordered by how strongly the researchers Huchuan Lu trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- GENERATIVE ADVERSARIAL NETS
- Microsoft COCO: Common Objects in Context
- U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Language Models are Unsupervised Multitask Learners
- GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
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