Joe Penna

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it
• Generative Models — 25 citations into it
• Statistical and Nonlinear Physics — 9 citations into it

Whom Joe Penna trusts overall

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

1. Jonathan Ho

Papers from Joe Penna's perspective

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

1. ImageNet: A large-scale hierarchical image database
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Improved Techniques for Training GANs
5. Rethinking the Inception Architecture for Computer Vision
6. Microsoft COCO: Common Objects in Context
7. Attention is All you Need (Neural Information Processing Systems)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Gradient-based learning applied to document recognition
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis (2023) — 5,094 citations
• Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation (2023) — 1,061 citations