Nicolas Hautière

Computer Vision and Pattern Recognition · 2006–2012

A researcher in the Science corpus: 4 papers; trusts 17 researchers and is trusted by 43 researchers here, as inferred from the citation graph.

Subfields

Whom Nicolas Hautière trusts overall

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

  1. Srinivasa G. Narasimhan
  2. Shree K. Nayar
  3. Robby T. Tan
  4. Raanan Fattal
  5. M. Grossberg
  6. Jean-Philippe Tarel
  7. Simon Perreault
  8. Sarit Shwartz
  9. Kaiming He
  10. Andreas Geiger

Who trusts Nicolas Hautière overall

  1. Codruta Orniana Ancuti
  2. Cosmin Ancuți
  3. Jean-Philippe Tarel
  4. Wenqi Ren
  5. Lark Kwon Choi
  6. Christos Sakaridis
  7. Boyi Li
  8. Miao Yang
  9. Jaehee You
  10. Radu Timofte

Papers from Nicolas Hautière's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Distinctive Image Features from Scale-Invariant Keypoints
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Going deeper with convolutions
  10. Long Short-Term Memory

Their papers