Dorian Gálvez-López

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 91 researchers and is trusted by 59 researchers here, as inferred from the citation graph.

Subfields

Whom Dorian Gálvez-López trusts overall

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

  1. David G. Lowe
  2. Mark Joseph Cummins
  3. Josef Sivic
  4. Marius Muja
  5. Yan Ke
  6. Paul M. Newman
  7. Edward Rosten
  8. Herbert Bay
  9. Andrew Zisserman
  10. Stefan Leutenegger

Who trusts Dorian Gálvez-López overall

  1. Giseop Kim
  2. Raul Mur-Artal
  3. Francisco Angel Moreno
  4. Mathieu Labbé
  5. Mikaela Angelina Uy
  6. Nathan Hughes
  7. Juan D. Tardós
  8. Ayoung Kim
  9. Torsten Sattler
  10. Yun Chang

Papers from Dorian Gálvez-López's perspective

Ordered by how strongly the researchers Dorian Gálvez-López 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. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers