Daniel Küttel

Computer Vision and Pattern Recognition · 2012–2014

A researcher in the Science corpus: 3 papers; trusts 600 researchers and is trusted by 1,211 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Küttel trusts overall

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

  1. Carsten Rother
  2. Pedro F. Felzenszwalb
  3. Bogdan Alexe
  4. Yuri Boykov
  5. Vladimir Kolmogorov
  6. Geoffrey E. Hinton
  7. Antonio Torralba
  8. Andrew Zisserman
  9. Alex Krizhevsky
  10. Andrew Blake

Who trusts Daniel Küttel overall

  1. Dim P. Papadopoulos
  2. Vittorio Ferrari
  3. Matthieu Guillaumin
  4. Ejaz Ahmed
  5. Xinlei Chen
  6. Liang-Chieh Chen
  7. David Novotný
  8. Andrea Vedaldi
  9. Ming-Ming Cheng
  10. Kristen Grauman

Papers from Daniel Küttel's perspective

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

Their papers