Mario A. Nascimento

Computer Vision and Pattern Recognition · 2002–2020

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it; #12,270 of 21,575 by trust here, #15,955 by citations
• Artificial Intelligence — 12 citations into it
• Optimization & Training — 6 citations into it

Whom Mario A. Nascimento trusts overall

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

1. Ravindra K. Ahuja
2. Alex Krizhevsky

Who trusts Mario A. Nascimento overall

1. Kiyoung Yang
2. J. A. D. Santos
3. Anderson de Rezende Rocha
4. Otávio Augusto Bizetto Penatti
5. Rafael Staiger Bressan

Papers from Mario A. Nascimento's perspective

Ordered by how strongly the researchers Mario A. Nascimento 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 Multiple Layers of Features from Tiny Images
3. ImageNet: A large-scale hierarchical image database
4. Wide Residual Networks
5. ImageNet classification with deep convolutional neural networks
6. Neural Architecture Search with Reinforcement Learning
7. Best practices for convolutional neural networks applied to visual document analysis
8. mixup: Beyond Empirical Risk Minimization
9. Gradient-based learning applied to document recognition
10. Going deeper with convolutions

Their papers

• UniformAugment: A Search-free Probabilistic Data Augmentation Approach (2020) — 62 citations
• A compact and efficient image retrieval approach based on border/interior pixel classification (2002) — 342 citations