Luc Brun

Computer Vision and Pattern Recognition · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Luc Brun trusts overall

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

  1. Ronald Poppe
  2. Marco Cuturi
  3. Gonzalo Navarro
  4. Jaeyong Sung
  5. Ferda Ofli
  6. Piotr Doll'ar
  7. Pasquale Foggia
  8. Colin Ponce
  9. Alessia Saggese
  10. Bart Selman

Papers from Luc Brun's perspective

Ordered by how strongly the researchers Luc Brun 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. ImageNet Large Scale Visual Recognition Challenge
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Histograms of oriented gradients for human detection
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers