Urs Köster

Computer Vision and Pattern Recognition · 2007–2017

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Urs Köster trusts overall

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

  1. Aapo Hyvärinen
  2. Barbara Olshausen
  3. Geoffrey E. Hinton
  4. David J. Field
  5. Patrik O. Hoyer
  6. Kaiming He
  7. Alex Krizhevsky
  8. Yoshua Bengio
  9. Edward H. Adelson
  10. Christian Jutten

Who trusts Urs Köster overall

  1. Jiquan Ngiam
  2. Johannes Ballé
  3. Michael Teichmann
  4. Zhenghao Chen
  5. Pang Wei Koh
  6. Aapo Hyvärinen
  7. Tal Ben-Nun
  8. Fabian H Sinz
  9. Valero Laparra
  10. Jan Wiltschut

Papers from Urs Köster's perspective

Ordered by how strongly the researchers Urs Köster 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers