Gerhard Reitmayr

Computer Vision and Pattern Recognition · 2006–2010

A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Gerhard Reitmayr trusts overall

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

  1. John F. Canny
  2. David G. Lowe
  3. Daniel Wagner
  4. Vincent Lepetit
  5. Edward Rosten
  6. Dieter Schmalstieg
  7. Anders Henrysson
  8. Pascal Fua
  9. Tom Drummond
  10. Ondřej Chum

Who trusts Gerhard Reitmayr overall

  1. Mark Billinghurst
  2. Feng Zhou
  3. Dimitris Chatzopoulos
  4. Edwin Olson
  5. Henry Been Lirn Duh
  6. Adrian Clark
  7. Mahdi Rad
  8. Vincent Lepetit
  9. Gun A. Lee
  10. Bugra Tekin

Papers from Gerhard Reitmayr's perspective

Ordered by how strongly the researchers Gerhard Reitmayr 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. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. A performance evaluation of local descriptors
  7. ImageNet classification with deep convolutional neural networks
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers