François Michaud

Computer Vision and Pattern Recognition · 2003–2018

A researcher in the Science corpus: 6 papers; trusts 273 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom François Michaud trusts overall

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

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

Who trusts François Michaud overall

  1. Nikolaos Mavridis
  2. Mathieu Labbé
  3. Chen Huang
  4. Somil Bansal
  5. Sharath Adavanne
  6. Joshua John Diehl
  7. Jean-Marc Valin

Papers from François Michaud's perspective

Ordered by how strongly the researchers François Michaud 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. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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