Franz Rottensteiner

Computer Vision and Pattern Recognition · 2005–2021

A researcher in the Science corpus: 5 papers; trusts 22 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Franz Rottensteiner trusts overall

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

  1. P. Dorninger
  2. Kevin P. Murphy
  3. Norbert Pfeifer
  4. Yuri Boykov
  5. Trevor J. Hastie
  6. Dong C. Liu
  7. Gerhard Gröger
  8. Sanjiv Kumar
  9. Jonathan Cheung-Wai Chan
  10. Jamie Shotton

Who trusts Franz Rottensteiner overall

  1. Joachim Niemeyer
  2. Valerio Marsocci
  3. Nicolas Audebert
  4. Ronald Kemker
  5. Wenyuan Li
  6. Gaston Lenczner
  7. Loic Landrieu
  8. Bertrand Le Saux
  9. Xavier Roynard
  10. Simone Scardapane

Papers from Franz Rottensteiner's perspective

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

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

Their papers