Beatriz Torre-Jiménez

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Beatriz Torre-Jiménez trusts overall

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

  1. David G. Lowe
  2. Navneet Dalal
  3. Andrea Vedaldi
  4. Victor S. Lempitsky
  5. Andrew Zisserman
  6. Mark Everingham
  7. Antoni B. Chan

Who trusts Beatriz Torre-Jiménez overall

  1. Daniel Oñoro-Rubio
  2. Corey Snyder
  3. Yuhong Li
  4. Roberto Javier López-Sastre
  5. Luca Ciampi
  6. Shanghang Zhang
  7. Hisham Cholakkal

Papers from Beatriz Torre-Jiménez's perspective

Ordered by how strongly the researchers Beatriz Torre-Jiménez trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers