Pierre-Luc St-Charles

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 2 papers; trusts 44 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Pierre-Luc St-Charles trusts overall

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

  1. Zoran Zivkovic
  2. Chris Stauffer
  3. Anurag Mittal
  4. Olivier Barnich
  5. Lucia Maddalena
  6. Yaser Sheikh
  7. Marko Heikkilä
  8. Ahmed M. Elgammal
  9. Martin Hofmann
  10. Kyungnam Kim

Who trusts Pierre-Luc St-Charles overall

  1. Marc Braham
  2. Chris H. Bahnsen
  3. Mohammadreza Babaee
  4. Namrata Vaswani
  5. Thomas Baltzer Moeslund
  6. Marc Van Droogenbroeck
  7. Duc Tung Dinh
  8. Thierry Bouwmans
  9. Gerhard Rigoll

Papers from Pierre-Luc St-Charles's perspective

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

Their papers