We present an incremental system that builds accurate CAD models of objects from multiple range images. Using a hybrid of surface mesh and volumetric representations, the system c...
Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...
Global illumination dramatically improves realistic appearance of rendered scenes, but usually it is neglected in VR systems due to its high costs. In this work we present an effi...
Kirill Dmitriev, Thomas Annen, Grzegorz Krawczyk, ...
Mobility study is composed of many research areas which one interests us: urban mobility. In the literature, urban mobilities are represented by analytical techniques like stochas...
Nicolas Marilleau, Christophe Lang, Pascal Chatonn...
This paper proposes a new method for programming and controlling distributed tasks. Applications declare behavior patterns that are used to automatically predict and reserve resou...