Reyes Rios-Cabrera

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it; #9,676 of 21,575 by trust here, #16,787 by citations

Whom Reyes Rios-Cabrera trusts overall

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

1. David G. Lowe
2. Stefan Hinterstoißer
3. David Nistér
4. Tomasz Malisiewicz
5. Herbert Bay
6. Henrik Stewénius
7. Abhinav Kumar Gupta
8. Slobodan Ilic
9. Vincent Lepetit
10. Alexei A. Efros

Who trusts Reyes Rios-Cabrera overall

1. Eric Brachmann
2. Andreas Doumanoglou
3. Chen Wang
4. Frank Michel
5. Alexander Krull
6. Rigas Kouskouridas
7. Danfei Xu
8. Stefan Gumhold
9. Bugra Tekin
10. Gernot Riegler

Papers from Reyes Rios-Cabrera's perspective

Ordered by how strongly the researchers Reyes Rios-Cabrera 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. Distinctive Image Features from Scale-Invariant Keypoints
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. ImageNet Large Scale Visual Recognition Challenge
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Histograms of oriented gradients for human detection

Their papers

• Discriminatively Trained Templates for 3D Object Detection: A Real Time Scalable Approach (2013) — 168 citations