We address the problem of reconstructing the background of a scene from a set of photographs featuring several occluding objects. We assume that the photographs are obtained from ...
Miguel Granados, Hans-Peter Seidel, Hendrik P. A. ...
Capacity scaling is a hierarchical approach to graph representation that can improve theoretical complexity and practical efficiency of max-flow/min-cut algorithms. Introduced by ...
Many solutions to computer vision and image processing problems involve the minimization of multi-label energy functions with up to K variables in each term. In the minimization pr...
We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...
—With the appearance of massively parallel and inexpensive platforms such as the G80 generation of NVIDIA GPUs, more real-life applications will be designed or ported to these pl...