In this paper, we propose a novel framework for face super-resolution based on a layered predictor network. In the first layer, multiple predictors are trained online with a dynami...
Most of the meshes coming from a variety of source are over sampled and exhibit highly irregular connectivity that prevent efficient wavelet analysis. Remeshing comes as a solutio...
Alexandre Gouaillard, Arnaud Gelas, Eric Boix, R&e...
When using relevance feedback for the interactive categorization of images, the strategy employed by the system to select images to be presented to the user is of paramount import...
A new framework dealing with motion estimation in transparent images is presented. It relies on a block-oriented estimation involving an efficient multiresolution minimization. A ...
In this paper, the computation of likelihood of block motion candidates is considered. The method is based on the evaluation of the sum of squared differences (SSD) measure for lo...