Heiko Hirschmüller

Computer Vision and Pattern Recognition · 2002–2014

A researcher in the Science corpus: 7 papers; trusts 109 researchers and is trusted by 626 researchers here, as inferred from the citation graph.

Subfields

Whom Heiko Hirschmüller trusts overall

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

  1. Daniel Scharstein
  2. Richard Szeliski
  3. Vladimir Kolmogorov
  4. Olga Veksler
  5. Ramin Zabih
  6. Yuri Boykov
  7. Kuk-jin Yoon
  8. Pedro F. Felzenszwalb
  9. Harry Shum
  10. Dorin Comaniciu

Who trusts Heiko Hirschmüller overall

  1. Jure Zbontar
  2. Andreas Geiger
  3. Daniel Scharstein
  4. Alex Kendall
  5. Yann LeCun
  6. Christoph Vogel
  7. Fatma Güney
  8. Markus Achtelik
  9. Kaiming He
  10. David Pfeiffer

Papers from Heiko Hirschmüller's perspective

Ordered by how strongly the researchers Heiko Hirschmüller 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. Distinctive Image Features from Scale-Invariant Keypoints
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers