Christian Forster

Computer Vision and Pattern Recognition · 2014–2017

A researcher in the Science corpus: 8 papers; trusts 97 researchers and is trusted by 71 researchers here, as inferred from the citation graph.

Subfields

Whom Christian Forster trusts overall

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

  1. Georg S. W. Klein
  2. Jakob J. Engel
  3. Jürgen Sturm
  4. Matia Pizzoli
  5. Davide Scaramuzza
  6. Richard A. Newcombe
  7. Andrew J. Davison
  8. David Nistér
  9. Daniel Cremers
  10. Edward Rosten

Who trusts Christian Forster overall

  1. Davide Scaramuzza
  2. Tong Qin
  3. Ruben Gomez-Ojeda
  4. Raul Mur-Artal
  5. Guoquan Huang
  6. Jakob J. Engel
  7. Henri Rebecq
  8. Jeffrey A. Delmerico
  9. Zichao Zhang
  10. Carlos Campos

Papers from Christian Forster's perspective

Ordered by how strongly the researchers Christian Forster 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. ImageNet: A large-scale hierarchical image database
  5. Distinctive Image Features from Scale-Invariant Keypoints
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers