Sébastien Frizzi

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sébastien Frizzi trusts overall

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

  1. Kunihiko Fukushima
  2. Dan Claudiu Ciresan
  3. Frédéric Bastien

Papers from Sébastien Frizzi's perspective

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

  1. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
  2. ImageNet classification with deep convolutional neural networks
  3. Theano: new features and speed improvements
  4. Gradient-based learning applied to document recognition
  5. Flexible, High Performance Convolutional Neural Networks for Image Classification
  6. Learning Multiple Layers of Features from Tiny Images
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Backpropagation Applied to Handwritten Zip Code Recognition
  9. Going deeper with convolutions
  10. Empirical Evaluation of Rectified Activations in Convolutional Network

Their papers