Francisco Pinto-Espinosa

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Francisco Pinto-Espinosa trusts overall

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

  1. David G. Lowe
  2. Zhengyou Zhang
  3. Andrea Vedaldi
  4. Daniel Scharstein
  5. Myron Z. Brown

Who trusts Francisco Pinto-Espinosa overall

  1. Matheus Boni Vicari
  2. Massimo Minervini
  3. Helge Aasen

Papers from Francisco Pinto-Espinosa's perspective

Ordered by how strongly the researchers Francisco Pinto-Espinosa 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. ImageNet Large Scale Visual Recognition Challenge
  6. Multiple View Geometry in Computer Vision
  7. Long Short-Term Memory
  8. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
  9. ImageNet: A large-scale hierarchical image database
  10. Going deeper with convolutions

Their papers