Matthieu Martin

Computer Vision and Pattern Recognition · with Bursztein · 2011

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Matthieu Martin trusts overall

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

  1. David G. Lowe
  2. John F. Canny
  3. Christopher Evans
  4. Philippe Golle
  5. Yann LeCun
  6. Corinna Cortes
  7. Kumar Chellapilla
  8. Jeff Yan
  9. Vladimir Naumovich Vapnik
  10. Patrice Y. Simard

Who trusts Matthieu Martin overall

  1. Tuan Anh Le
  2. Elie Bursztein

Papers from Matthieu Martin's perspective

Ordered by how strongly the researchers Matthieu Martin trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Object recognition from local scale-invariant features
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers