Otmar Scherzer

Computer Vision and Pattern Recognition · 2002–2015

A researcher in the Science corpus: 10 papers; trusts 131 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

Whom Otmar Scherzer trusts overall

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

  1. E.J. Candes
  2. David L. Donoho
  3. Joel A. Tropp
  4. Dirk A. Lorenz
  5. Tony F. Chan
  6. Antonin Chambolle
  7. Terence Tao
  8. Robert Tibshirani
  9. Yurii E. Nesterov
  10. Stanley J. Osher

Who trusts Otmar Scherzer overall

  1. Qinglong Wang
  2. Markus Haltmeier
  3. Bernd Hofmann
  4. Markus Grasmair
  5. Kristian Bredies
  6. Andreas Hauptmann
  7. Wenbo Guo
  8. Alexander V. Kiselev
  9. Lars Ruthotto
  10. Heikki Hakkarainen

Papers from Otmar Scherzer's perspective

Ordered by how strongly the researchers Otmar Scherzer 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. 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. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers