Hannes Taubenböck

Computer Vision and Pattern Recognition · 2009–2019

A researcher in the Science corpus: 4 papers; trusts 57 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Hannes Taubenböck trusts overall

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

  1. Karen Simonyan
  2. Alex Krizhevsky
  3. Andrew Zisserman
  4. Geoffrey E. Hinton
  5. David G. Lowe
  6. Ilya Sutskever
  7. Kaiming He

Who trusts Hannes Taubenböck overall

  1. Monika Kuffer
  2. Karin Pfeffer
  3. Richard Sliuzas

Papers from Hannes Taubenböck's perspective

Ordered by how strongly the researchers Hannes Taubenböck 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. ImageNet: A large-scale hierarchical image database
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers