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CVPR
2011
IEEE
13 years 4 months ago
A Hierarchical Conditional Random Field Model for Labeling and Segmenting Images of Street Scenes
Simultaneously segmenting and labeling images is a fundamental problem in Computer Vision. In this paper, we introduce a hierarchical CRF model to deal with the problem of labelin...
Qixing Huang, Mei Han, Bo Wu, Sergey Ioffe
EMNLP
2009
13 years 10 months ago
On the Use of Virtual Evidence in Conditional Random Fields
Virtual evidence (VE), first introduced by (Pearl, 1988), provides a convenient way of incorporating prior knowledge into Bayesian networks. This work generalizes the use of VE to...
Xiao Li
MICCAI
2009
Springer
15 years 1 months ago
A Conditional Random Field Approach for Coupling Local Registration with Robust Tissue and Structure Segmentation
Abstract. We consider a general modelling strategy to handle in a unified way a number of tasks essential to MR brain scan analysis. Our approach is based on the explicit definitio...
Benoit Scherrer, Florence Forbes, Michel Dojat