Christian Heipke

Computer Vision and Pattern Recognition · 2007–2016

A researcher in the Science corpus: 5 papers; trusts 59 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Christian Heipke trusts overall

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

  1. Andreas Geiger
  2. Vladimir Kolmogorov
  3. Heiko Hirschmüller
  4. Victor Adrian Prisacariu
  5. Christoph Vogel
  6. Radford M. Neal
  7. Moritz Menze
  8. Koichiro Yamaguchi
  9. Michael F. Goodchild
  10. Konrad Schindler

Who trusts Christian Heipke overall

  1. Pascal Neis
  2. Andreas Geiger
  3. Guangliang Cheng
  4. Alexander Zipf
  5. Xingyu Liu
  6. Lahav Lipson
  7. Marco Scaioni
  8. Joel Janai
  9. Shihao Jiang
  10. Daniel Gehrig

Papers from Christian Heipke's perspective

Ordered by how strongly the researchers Christian Heipke trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers