Alfredo Núñez

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 83 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it
• Model Architectures — 6 citations into it
• Media Technology — 5 citations into it

Whom Alfredo Núñez trusts overall

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

1. Ross B. Girshick
2. Karen Simonyan
3. Navneet Dalal
4. Alex Krizhevsky
5. Andrew Zisserman
6. Geoffrey E. Hinton
7. Kaiming He
8. Yann LeCun
9. Christian Szegedy
10. Ilya Sutskever

Papers from Alfredo Núñez's perspective

Ordered by how strongly the researchers Alfredo Núñez 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. Going deeper with convolutions
4. Gradient-based learning applied to document recognition
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Their papers

• Automatic Defect Detection of Fasteners on the Catenary Support Device Using Deep Convolutional Neural Network (2018) — 383 citations
• Deep convolutional neural networks for detection of rail surface defects (2016) — 322 citations