Tobias Höllerer

Computer Vision and Pattern Recognition · 2001–2016

A researcher in the Science corpus: 5 papers; trusts 228 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Tobias Höllerer trusts overall

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

  1. David G. Lowe
  2. Krystian Mikolajczyk
  3. Cordelia Schmid
  4. Georg S. W. Klein
  5. Andrew Zisserman
  6. Vincent Lepetit
  7. Matthew A. Brown
  8. Michael Montemerlo
  9. Ondřej Chum
  10. Edward Rosten

Who trusts Tobias Höllerer overall

  1. Onur Özyesil
  2. Anand Agarawala

Papers from Tobias Höllerer's perspective

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

Their papers