Virginia Fernandez

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 — 15 citations into it
• Generative Models — 14 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Virginia Fernandez trusts

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

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

Papers from Virginia Fernandez's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Denoising Diffusion Probabilistic Models (Neural Information Processing Systems)
3. Hierarchical Text-Conditional Image Generation with CLIP Latents (arXiv.org)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Deep Unsupervised Learning using Nonequilibrium Thermodynamics
6. Autoencoding beyond pixels using a learned similarity metric
7. Denoising Diffusion Implicit Models
8. High-Resolution Image Synthesis with Latent Diffusion Models (Computer Vision and Pattern Recognition)
9. The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Brain Imaging Generation with Latent Diffusion Models (2022) — 470 citations