Karl Rohr

Nature Methods · 2001–2018

A researcher in the Science corpus: 6 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Karl Rohr trusts overall

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

  1. Grace Wahba

Who trusts Karl Rohr overall

  1. Aristeidis Sotiras
  2. Ben Glocker
  3. Yangming Ou
  4. Nikos Paragios
  5. Mark Holden
  6. Martin Maška

Papers from Karl Rohr's perspective

Ordered by how strongly the researchers Karl Rohr trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Spline Models for Observational Data
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Optimizing search engines using clickthrough data
  6. Theory of edge detection
  7. Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics)
  8. Image processing with ImageJ
  9. Survey of maneuvering target tracking. Part V. Multiple-model methods (IEEE Transactions on Aerospace and Electronic Systems)
  10. Tracking and quantitative analysis of dynamic movements of cells and particles.

Their papers