Roger Mohr

International Journal of Computer Vision · 2000

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Whom Roger Mohr trusts overall

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

  1. Jan J. Koenderink
  2. Kevin W. Bowyer

Who trusts Roger Mohr overall

  1. Ce Liu
  2. Andreas Opelt
  3. Matthew A. Brown
  4. Edward Rosten
  5. Jing Li
  6. I. Sipiran
  7. Tanaya Guha
  8. David Nistér
  9. Derek Hoiem
  10. Samuele Salti

Papers from Roger Mohr's perspective

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

  1. A Computational Approach to Edge Detection
  2. Representation of local geometry in the visual system
  3. A Combined Corner and Edge Detector
  4. Deformable kernels for early vision
  5. Edge detector evaluation using empirical ROC curves
  6. Probability, random variables and stochastic processes
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. The Laplacian Pyramid as a Compact Image Code
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers