Pierre Fite Georgel

Computer Vision and Pattern Recognition · 2010

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Pierre Fite Georgel trusts overall

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

  1. Yasutaka Furukawa
  2. David G. Lowe
  3. Noah Snavely
  4. David Nistér
  5. S. M. Seitz
  6. Andrew Zisserman
  7. Aude Oliva
  8. Jean Ponce
  9. Antonio Torralba
  10. Richard Szeliski

Who trusts Pierre Fite Georgel overall

  1. Filip Radenovic
  2. Johannes L. Schönberger
  3. Changchang Wu
  4. Noah Snavely
  5. Yasutaka Furukawa
  6. Torsten Sattler
  7. Kyle Wilson
  8. Simon Fuhrmann
  9. Jared Heinly

Papers from Pierre Fite Georgel's perspective

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

Their papers