F. Heijden
Computer Vision and Pattern Recognition · 2006–2013
A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 17 citations into it; #6,508 of 21,575 by trust here, #8,722 by citations
Whom F. Heijden trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Anurag Mittal
- Nir Friedman
- Matt P. Wand
- Ahmed M. Elgammal
- Nikos Paragios
- Stuart J. Russell
- W. Grimson
- M. Chris Jones
Who trusts F. Heijden overall
- Thierry Bouwmans
- Andrews Cordolino Sobral
- Pierre-Luc St-Charles
- Junzhou Huang
- Nil Goyette
- Dilip K. Prasad
- Olivier Barnich
- Belmar García García
- Antoine Vacavant
Papers from F. Heijden's perspective
Ordered by how strongly the researchers F. Heijden trusts endorse each paper. Same corpus, a different order for every researcher.
- Image Segmentation in Video Sequences: A Probabilistic Approach
- Non-parametric Model for Background Subtraction (European Conference on Computer Vision)
- Adaptive background mixture models for real-time tracking
- Kernel Smoothing
- Background modeling and subtraction of dynamic scenes (Proceedings Ninth IEEE International Conference on Computer Vision)
- Neural Networks for Pattern Recognition
- Robust Real-time Object Detection
- Marching cubes: A high resolution 3D surface construction algorithm
- Motion-based background subtraction using adaptive kernel density estimation (Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.)
- An Improved Adaptive Background Mixture Model for Real-time Tracking with Shadow Detection
Their papers
- Efficient adaptive density estimation per image pixel for the task of background subtraction (2006) — 1,641 citations
- Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge (2013) — 882 citations