Xavier Sevillano

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xavier Sevillano trusts overall

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

  1. David G. Lowe
  2. Navneet Dalal
  3. Herbert Bay
  4. Edward Rosten
  5. Bill Triggs
  6. Tinne Tuytelaars
  7. Reid B. Porter
  8. Luc Van Gool

Who trusts Xavier Sevillano overall

  1. Wenxiu Ding
  2. Xuyang Jing

Papers from Xavier Sevillano's perspective

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

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

Their papers