890 search results - page 9 / 178 » Learning Generic Prior Models for Visual Computation |
WAPCV
2007
Springer
15 years 3 months ago
2007
Springer
The control of overt visual attention relies on an interplay of bottom-up and top-down mechanisms. Purely bottom-up models may provide a reasonable account of the looking behaviors...
PAMI
2010
14 years 8 months ago
2010
—This paper proposes a framework for single-image super-resolution. The underlying idea is to learn a map from input low-resolution images to target high-resolution images based ...
CVPR
2010
IEEE
15 years 6 months ago
2010
IEEE
In this paper we propose a novel approach to the perceptual interpretation of building facades that combines shape grammars, supervised classification and random walks. Procedural...
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UAI
2001
14 years 11 months ago
2001
We present a general framework for defining priors on model structure and sampling from the posterior using the Metropolis-Hastings algorithm. The key ideas are that structure pri...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
We are interested in modeling the variability of different images of the same scene, or class of objects, obtained by changing the imaging conditions, for instance the viewpoint o...