M. Descoteaux

Computer Vision and Pattern Recognition · 2017

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

Subfields

Whom M. Descoteaux trusts overall

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

  1. Philipp Krahenbuhl
  2. Kaiming He
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Olaf Ronneberger
  6. George Papandreou
  7. Yoshua Bengio
  8. Diederik P. Kingma
  9. Karen Simonyan
  10. Fausto Milletarì

Who trusts M. Descoteaux overall

  1. J. Urgen Schmidhuber
  2. Ozan Ciga
  3. Christian Wachinger
  4. Lei Cai
  5. Maciej A. Mazurowski
  6. Fabian Isensee
  7. Simon Graham
  8. Hao Dong
  9. Andrew Hoopes
  10. Jun Xu

Papers from M. Descoteaux's perspective

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

Their papers