Daniel Wagner

Computer Vision and Pattern Recognition · 2008 7th IEEE/ACM International Symposium on Mixed and Augmented Reality · 2003–2010

A researcher in the Science corpus: 6 papers; trusts 14 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Wagner trusts overall

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

  1. David G. Lowe
  2. Anders Henrysson
  3. Dieter Schmalstieg
  4. Vincent Lepetit
  5. Edward Rosten
  6. Mark Billinghurst
  7. Tom Drummond
  8. Pascal Fua
  9. Ondřej Chum
  10. Mustafa Özuysal

Who trusts Daniel Wagner overall

  1. Mark Billinghurst
  2. John Wang
  3. Edwin Olson
  4. Dimitris Chatzopoulos
  5. Anders Henrysson
  6. Lorenz Meier
  7. Tomas Hodan
  8. Gerhard Reitmayr
  9. Dieter Schmalstieg
  10. Sergio Garrido-Jurado

Papers from Daniel Wagner's perspective

Ordered by how strongly the researchers Daniel Wagner 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 Large Scale Visual Recognition Challenge
  5. ImageNet: A large-scale hierarchical image database
  6. ImageNet classification with deep convolutional neural networks
  7. A performance evaluation of local descriptors
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers