Shaozhe Hao

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 44 citations into it
• Generative Models — 27 citations into it
• Statistical and Nonlinear Physics — 7 citations into it

Whom Shaozhe Hao trusts overall

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

1. Diederik P. Kingma
2. Jonathan Ho

Papers from Shaozhe Hao's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Microsoft COCO: Common Objects in Context
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Language Models are Few-Shot Learners (Neural Information Processing Systems)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
10. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)

Their papers

• Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models (2023) — 472 citations