In this paper, we propose a learning-based method for video super-resolution. There are two main contributions of the proposed method. First, information from cameras with differe...
In this work we propose a new supervised deformable model that generalizes the classical contour-based snake. This model is defined to deform in a feature space generated by a se...
Abstract. Despite of their advertisement as task independent representations, the reuse of ontologies in different contexts is difficult. An explanation for this is that when devel...
This paper presents a new two-stage approach to impulse noise removal for color image. The first step is the impulse detection, in which the so-called Rank-Ordered Absolute Diffe...
Since the onset of pipelined processors, balancing the delay of the microarchitectural pipeline stages such that each microarchitectural pipeline stage has an equal delay has been...