Mathieu Labbé

Computer Vision and Pattern Recognition · 2013–2018

A researcher in the Science corpus: 3 papers; trusts 270 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Mathieu Labbé trusts overall

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

  1. David G. Lowe
  2. Giorgio Grisetti
  3. Josef Sivic
  4. Frank Dellaert
  5. Andrew Zisserman
  6. Michael Milford
  7. David Nistér
  8. Sebastian Thrun
  9. Georg S. W. Klein
  10. Andreas Geiger

Who trusts Mathieu Labbé overall

  1. François Michaud
  2. Chen Huang
  3. Somil Bansal
  4. Qiao Gu
  5. Oier Mees
  6. Varun Tolani
  7. Tristan Swedish
  8. Andy Zeng

Papers from Mathieu Labbé's perspective

Ordered by how strongly the researchers Mathieu Labbé 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. Distinctive Image Features from Scale-Invariant Keypoints
  6. Gradient-based learning applied to document recognition
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers