Jorge Fuentes-Pacheco

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 124 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Jorge Fuentes-Pacheco trusts overall

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

  1. David Nistér
  2. Andrew J. Davison
  3. Sebastian Thrun
  4. Vincent Lepetit
  5. David G. Lowe
  6. Michael Milford
  7. Krystian Mikolajczyk
  8. Christopher Evans
  9. Zhengyou Zhang
  10. Tom Fawcett

Who trusts Jorge Fuentes-Pacheco overall

  1. Devendra Singh Chaplot
  2. Mathieu Labbé
  3. Gregory Kahn
  4. Onur Özyesil
  5. Guillaume Bresson
  6. So Yeon Min
  7. Haozhe Xie
  8. Dan Wang
  9. François Michaud
  10. Saurabh Gupta

Papers from Jorge Fuentes-Pacheco's perspective

Ordered by how strongly the researchers Jorge Fuentes-Pacheco 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. Distinctive Image Features from Scale-Invariant Keypoints
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers