Mark Billinghurst

Computer Vision and Pattern Recognition · 2000–2018

A researcher in the Science corpus: 15 papers; trusts 82 researchers and is trusted by 40 researchers here, as inferred from the citation graph.

Subfields

Whom Mark Billinghurst trusts overall

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

  1. Daniel Wagner
  2. Vincent Lepetit
  3. Ronald T. Azuma
  4. Georg S. W. Klein
  5. Steven J. Henderson
  6. Dieter Schmalstieg
  7. Neil A. Dodgson
  8. Gerhard Reitmayr
  9. David G. Lowe
  10. Hirokazu Kato

Who trusts Mark Billinghurst overall

  1. Ana Javornik
  2. Matt Bower
  3. Feng Zhou
  4. Daniel Wagner
  5. D. V. Krevelen
  6. Steve Chi-Yin Yuen
  7. Julie Carmigniani
  8. Andrew Ian Comport
  9. Fabio Buttussi
  10. Derek Bradley

Papers from Mark Billinghurst's perspective

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

Their papers