We propose a convex variational framework to compute high resolution images from a low resolution video. The image formation process is analyzed to provide to a well designed model...
Markus Unger, Thomas Pock, Manuel Werlberger, Hors...
In this paper, we study the use of heterogeneous data for training of acoustic models. In initial experiments, a significant drop of accuracy has been observed on in-domain test s...
Variational models for image segmentation have many applications, but can be slow to compute. Recently, globally convex segmentation models have been introduced which are very rel...
Abstract. A configurable process model describes a family of similar process models in a given domain. Such a model can be configured to obtain a specific process model that is sub...
Wil M. P. van der Aalst, Niels Lohmann, Marcello L...
Abstract. It has often been claimed that model checking, special purpose automated deduction or interactive theorem proving are needed for formal program development. Recently, it ...