Pascal Monasse

Computer Vision and Pattern Recognition · 2000–2016

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Pascal Monasse trusts overall

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

  1. David Nistér
  2. David G. Lowe
  3. Luc M. Vincent
  4. Yasutaka Furukawa
  5. Pierre Soille
  6. Stéphane Mallat
  7. John F. Canny
  8. Marius Muja
  9. Johannes L. Schönberger
  10. Kyle Wilson

Who trusts Pascal Monasse overall

  1. Punam Kumar Saha
  2. Lionel Gueguen
  3. Kyle Wilson
  4. Robin Strand
  5. Onur Özyesil
  6. Pierre Moulon
  7. Christopher Bongsoo Choy
  8. Gunilla Borgefors
  9. Arno Knapitsch
  10. Pedram Ghamisi

Papers from Pascal Monasse's perspective

Ordered by how strongly the researchers Pascal Monasse 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. Multiple View Geometry in Computer Vision
  4. ImageNet classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Long Short-Term Memory
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers