Pierre Moulon

Computer Vision and Pattern Recognition · 2013–2016

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Pierre Moulon trusts overall

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

  1. David Nistér
  2. David G. Lowe
  3. Yasutaka Furukawa
  4. Marius Muja
  5. Johannes L. Schönberger
  6. Kyle Wilson
  7. Richard Szeliski
  8. Noah Snavely
  9. Jean Ponce
  10. Changchang Wu

Who trusts Pierre Moulon overall

  1. Kyle Wilson
  2. Onur Özyesil
  3. Christopher Bongsoo Choy
  4. Arno Knapitsch
  5. Fangjinhua Wang
  6. Noah Snavely
  7. Vladislav Voroninski
  8. Pascal Monasse
  9. Danfei Xu
  10. Jaesik Park

Papers from Pierre Moulon's perspective

Ordered by how strongly the researchers Pierre Moulon 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Multiple View Geometry in Computer Vision
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers