Olivier Debeir

Computer Vision and Pattern Recognition · 2005–2020

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Olivier Debeir trusts overall

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

  1. Robert T. Collins
  2. John F. Canny
  3. Dorin Comaniciu
  4. Christophe Zimmer
  5. Luc M. Vincent
  6. Martin Herold
  7. Visvanathan Ramesh

Who trusts Olivier Debeir overall

  1. Oleh Dzyubachyk
  2. Kang Li
  3. Erik H. W. Meijering
  4. Thomas Blaschke
  5. Xiaodong Yang
  6. Dirk Ryan Padfield
  7. Christophe Zimmer
  8. Brian Alan Johnson
  9. Mei Chen
  10. Houqiang Li

Papers from Olivier Debeir's perspective

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

  1. A Computational Approach to Edge Detection
  2. Going deeper with convolutions
  3. Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
  4. Spectral resolution requirements for mapping urban areas (IEEE Transactions on Geoscience and Remote Sensing)
  5. Mean-shift blob tracking through scale space (2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.)
  6. AND T
  7. Improved Regularization of Convolutional Neural Networks with Cutout
  8. mixup: Beyond Empirical Risk Minimization
  9. Squeeze-and-Excitation Networks
  10. A multi-scale segmentation/object relationship modelling methodology for landscape analysis

Their papers