Gerald Fritz

Computer Vision and Pattern Recognition · 2004–2007

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Gerald Fritz trusts overall

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

  1. David G. Lowe
  2. Aiko M. Hormann
  3. Emanuel Parzen
  4. Markus Weber
  5. Hiroshi Murase
  6. Jerome H. Friedman
  7. Max Welling
  8. Christopher J. C. H. Watkins
  9. Pietro Perona
  10. Laurent Itti

Who trusts Gerald Fritz overall

  1. Simone Frintrop
  2. Wenling Shang
  3. Hugo Larochelle
  4. Klaus Greff
  5. Erich Rome
  6. Alexander R. Trott

Papers from Gerald Fritz's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Going deeper with convolutions
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Long Short-Term Memory
  9. Object recognition from local scale-invariant features
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers