Pere Molina

Aerospace Engineering · 2014

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Pere Molina trusts overall

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

  1. David G. Lowe
  2. Heiko Hirschmüller
  3. Fabio Remondino
  4. John J. Leonard
  5. Jean-Michel Morel
  6. Christoph Strecha
  7. Michael Kaess
  8. Herbert Bay
  9. Michael Calonder
  10. H. F. Durrant-Whyte

Who trusts Pere Molina overall

  1. M. Nowak
  2. A. Puttock
  3. Lukas Roth

Papers from Pere Molina's perspective

Ordered by how strongly the researchers Pere Molina trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Modeling the World from Internet Photo Collections (International Journal of Computer Vision)
  6. ImageNet Large Scale Visual Recognition Challenge
  7. ImageNet: A large-scale hierarchical image database
  8. Histograms of oriented gradients for human detection
  9. Going deeper with convolutions
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers