Florence Tupin

Computer Vision and Pattern Recognition · 2004–2015

A researcher in the Science corpus: 4 papers; trusts 63 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Florence Tupin trusts overall

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

  1. Krystian Mikolajczyk
  2. A. Buades
  3. Kostadin Dabov
  4. David G. Lowe
  5. Carlo Tomasi
  6. Cordelia Schmid
  7. Jean-Michel Morel
  8. Alessandro Foi
  9. Jörg Polzehl
  10. Vladimir Katkovnik

Who trusts Florence Tupin overall

  1. Uwe Soergel
  2. Giovanni Chierchia
  3. Xiaoxiang Zhu
  4. Gabriele Steidl
  5. Gabriele Moser

Papers from Florence Tupin's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet Large Scale Visual Recognition Challenge
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Object recognition from local scale-invariant features
  10. Long Short-Term Memory

Their papers