Armin Hornung

Computer Vision and Pattern Recognition · 2010–2013

A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Armin Hornung trusts overall

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

  1. Dave Cole
  2. James J. Kuffner Jr.
  3. Martin Habbecke
  4. Kenji Doya
  5. Rosen Diankov
  6. Paul M. Newman
  7. Andreas Nüchter
  8. Felix Endres
  9. Jürgen Sturm
  10. Martin Magnusson

Who trusts Armin Hornung overall

  1. Markus Achtelik
  2. Andrew J. Barry
  3. Hu He
  4. Mike Roberts
  5. Felix Endres
  6. Yiyi Liao
  7. Chee Sheng Tan
  8. Fadri Furrer
  9. Abhijit Kundu
  10. Korbinian Schmid

Papers from Armin Hornung's perspective

Ordered by how strongly the researchers Armin Hornung 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. Distinctive Image Features from Scale-Invariant Keypoints
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers