Luis Pérez

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Luis Pérez trusts overall

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

  1. David G. Lowe
  2. John F. Canny
  3. Herbert Bay
  4. Takeo Kanade
  5. F. Fischler
  6. Andreas Ess

Papers from Luis Pérez's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. A Combined Corner and Edge Detector
  3. An Iterative Image Registration Technique with an Application to Stereo Vision
  4. ImageNet: A large-scale hierarchical image database
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. A Computational Approach to Edge Detection
  8. Speeded-Up Robust Features (SURF)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers