Friedrich Fraundorfer

Computer Vision and Pattern Recognition · 2009–2017

A researcher in the Science corpus: 8 papers; trusts 298 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Friedrich Fraundorfer trusts overall

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

  1. David Nistér
  2. David G. Lowe
  3. Henrik Stewénius
  4. Paul A. Viola
  5. Andrew Zisserman
  6. Roland Yves Siegwart
  7. Jianbo Shi
  8. Michael Calonder
  9. Ondřej Chum
  10. Daniel Scharstein

Who trusts Friedrich Fraundorfer overall

  1. Markus Achtelik
  2. Adrien Briod
  3. Sajad Saeedi
  4. Agostino Martinelli
  5. Christoforos Kanellakis
  6. Muhamad Risqi U. Saputra
  7. Dominik Honegger
  8. Dario Floreano
  9. Jean-Christophe Zufferey
  10. Larry H. Matthies

Papers from Friedrich Fraundorfer's perspective

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

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

Their papers