Hans-Peter Meinzer

Computer Vision and Pattern Recognition · 2004–2013

A researcher in the Science corpus: 4 papers; trusts 30 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Hans-Peter Meinzer trusts overall

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

  1. John G. Daugman
  2. William T. Freeman
  3. Fernando De la Torre
  4. David Cristinacce
  5. Alexander Andreopoulos
  6. Aapo Hyvärinen
  7. Arthur P. Dempster
  8. Alejandro F Frangi
  9. Daniel Cremers
  10. Michael Kaus

Who trusts Hans-Peter Meinzer overall

  1. M. Avendi
  2. Brian Patenaude
  3. Anders Eklund
  4. Xiaomeng Li

Papers from Hans-Peter Meinzer's perspective

Ordered by how strongly the researchers Hans-Peter Meinzer 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  8. Going deeper with convolutions
  9. Snakes: Active contour models
  10. Long Short-Term Memory

Their papers