This paper promotes compositional reasoning in the context of safety-critical systems, and demonstrates a safety-oriented component model using an application from the automotive ...
Data mining aims at extraction of previously unidentified information from large databases. It can be viewed as an automated application of algorithms to discover hidden patterns a...
We propose Markov chain Monte Carlo sampling methods to address uncertainty estimation in disparity computation. We consider this problem at a postprocessing stage, i.e. once the d...
3D reconstruction of urban environments is a widely studied subject since several years, as it can lead to many useful applications: virtual navigation, augmented reality, archite...
We present techniques to semi-automatically discover Recurrent Visual Semantics (RVS) -the repetitive appearance of visually similar elements such as objects and scenes- in consum...
Alejandro Jaimes, Ana B. Benitez, Shih-Fu Chang, A...