In this work we revisit the Mumford-Shah functional, one
of the most studied variational approaches to image segmentation.
The contribution of this paper is to propose an
algori...
Thomas Pock, Daniel Cremers, Horst Bischof, Antoni...
An iterative Segmentation-Estimation framework for segmentation of planar surfaces in the disparity space is implemented on a Digital Signal Processor (DSP). Disparity of a scene ...
Nonnegative tensor factorization (NTF) is a recent multiway (multilinear) extension of nonnegative matrix factorization (NMF), where nonnegativity constraints are imposed on the C...
We present an integrated framework for learning asymmetric boosted classifiers and online learning to address the problem of online learning asymmetric boosted classifiers, which ...
Markov Random Fields (MRFs) are ubiquitous in lowlevel computer vision. In this paper, we propose a new approach to the optimization of multi-labeled MRFs. Similarly to -expansion...