Jingjing Shen

Computer Vision and Pattern Recognition · 2022

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

Subfields

• Computer Vision and Pattern Recognition — 50 citations into it
• Generative Models — 35 citations into it
• Statistical and Nonlinear Physics — 8 citations into it

Whom Jingjing Shen trusts

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

1. Jonathan Ho (in Computer Vision and Pattern Recognition)

Papers from Jingjing Shen's perspective

Ordered by how strongly the researchers Jingjing Shen 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. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Zero-Shot Text-to-Image Generation
6. Generative Adversarial Networks
7. Denoising Diffusion Probabilistic Models (Neural Information Processing Systems)
8. A Style-Based Generator Architecture for Generative Adversarial Networks
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Hierarchical Text-Conditional Image Generation with CLIP Latents (arXiv.org)

Their papers

• RODIN: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion (2022) — 393 citations