Daniel Pérez-Cabo

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it
• Signal Processing — 14 citations into it

Whom Daniel Pérez-Cabo trusts overall

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

1. Kaiming He
2. Kilian Q. Weinberger
3. Zinelabinde Boulkenafet
4. Yaojie Liu
5. Florian Schroff
6. Sébastien Marcel
7. Di Wen
8. Javier Galbally
9. X. Zhang
10. Amin Jourabloo

Papers from Daniel Pérez-Cabo's perspective

Ordered by how strongly the researchers Daniel Pérez-Cabo 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. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Going deeper with convolutions
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep Anomaly Detection for Generalized Face Anti-Spoofing (2019) — 70 citations