Ricardo Guerrero-Gómez-Olmedo

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 Ricardo Guerrero-Gómez-Olmedo 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
  8. Bill Triggs
  9. Geoffrey E. Hinton
  10. Alex Krizhevsky

Who trusts Ricardo Guerrero-Gómez-Olmedo 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
  8. Ning Liu
  9. Qingyu Song
  10. Minh N. Do

Papers from Ricardo Guerrero-Gómez-Olmedo's perspective

Ordered by how strongly the researchers Ricardo Guerrero-Gómez-Olmedo 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. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Distinctive Image Features from Scale-Invariant Keypoints
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers