Xavier Muñoz

Computer Vision and Pattern Recognition · 2002–2008

A researcher in the Science corpus: 6 papers; trusts 745 researchers and is trusted by 3,475 researchers here, as inferred from the citation graph.

Subfields

Whom Xavier Muñoz trusts overall

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

  1. David G. Lowe
  2. Andrew Zisserman
  3. Li Fei-Fei
  4. Thomas Hofmann
  5. Josef Sivic
  6. Cordelia Schmid
  7. Navneet Dalal
  8. Antonio Torralba
  9. Svetlana Lazebnik
  10. Geoffrey E. Hinton

Who trusts Xavier Muñoz overall

  1. Andrew Zisserman
  2. Andrea Vedaldi
  3. Luc Van Gool
  4. Kristen Grauman
  5. Lingxi Xie
  6. Antonio Torralba
  7. Trevor Darrell
  8. Cordelia Schmid
  9. João Carreira
  10. Li Fei-Fei

Papers from Xavier Muñoz's perspective

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

Their papers