Yannick Benezeth

Computer Vision and Pattern Recognition · 2010–2017

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Yannick Benezeth trusts overall

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

  1. Zoran Zivkovic
  2. Anurag Mittal
  3. Pakorn KaewTrakulPong
  4. Ahmed M. Elgammal
  5. David Harwood
  6. Kyungnam Kim
  7. Rita Cucchiara
  8. Larry S. Davis
  9. W. Grimson
  10. Nikos Paragios

Who trusts Yannick Benezeth overall

  1. Nil Goyette
  2. Yi Wang
  3. Pierre-Marc Jodoin
  4. Fatih Murat Porikli

Papers from Yannick Benezeth's perspective

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

  1. Adaptive background mixture models for real-time tracking
  2. ImageNet classification with deep convolutional neural networks
  3. Non-parametric Model for Background Subtraction (European Conference on Computer Vision)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Going deeper with convolutions
  9. Long Short-Term Memory
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers