Timo Hackel

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 129 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Timo Hackel trusts overall

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

  1. David G. Lowe
  2. Kaiming He
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. L. Eon Bottou
  6. Karen Simonyan
  7. Jitendra Malik
  8. Yuri Boykov
  9. Antonio Torralba
  10. Yann LeCun

Who trusts Timo Hackel overall

  1. Alexandre Boulch
  2. Qingyong Hu
  3. Antoni Rosinol
  4. Xavier Roynard
  5. Francis Engelmann
  6. Andres Milioto
  7. Bertrand Le Saux
  8. Yulan Guo
  9. Jens Behley
  10. Zhiyuan Zhang

Papers from Timo Hackel's perspective

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

Their papers