Pedro F. Da Costa

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 Pedro F. Da Costa trusts overall

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

1. Jonathan Ho

Papers from Pedro F. Da Costa's perspective

Ordered by how strongly the researchers Pedro F. Da Costa trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. Learning Multiple Layers of Features from Tiny Images
5. ImageNet: A large-scale hierarchical image database
6. Denoising Diffusion Probabilistic Models (Neural Information Processing Systems)
7. ImageNet Large Scale Visual Recognition Challenge
8. Hierarchical Text-Conditional Image Generation with CLIP Latents (arXiv.org)
9. GENERATIVE ADVERSARIAL NETS
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

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