Dirk Hähnel

Computer Vision and Pattern Recognition · 2000–2009

A researcher in the Science corpus: 13 papers; trusts 10 researchers and is trusted by 58 researchers here, as inferred from the citation graph.

Subfields

Whom Dirk Hähnel trusts overall

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

  1. Sebastian Thrun
  2. Wolfram Burgard
  3. John J. Leonard
  4. Dieter Fox
  5. Neil D. Lawrence
  6. Michael Montemerlo
  7. M. Sanjeev Arulampalam
  8. Arnaud Doucet
  9. José A. Castellanos
  10. Arthur P. Dempster

Who trusts Dirk Hähnel overall

  1. Giorgio Grisetti
  2. Dieter Fox
  3. Sebastian Thrun
  4. Sajad Saeedi
  5. Wolfram Burgard
  6. Joydeep Biswas
  7. Marc Peter Deisenroth
  8. Tim Bailey
  9. Jonathan Ko
  10. Cyrill Stachniss

Papers from Dirk Hähnel's perspective

Ordered by how strongly the researchers Dirk Hähnel 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. 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. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Distinctive Image Features from Scale-Invariant Keypoints
  10. Learning Multiple Layers of Features from Tiny Images

Their papers