This paper presents an adaptive technique to animate deformable bodies in real-time. In contrast to most previous work, we introduce a multi-resolution model that locally refines...
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
Blotches are very common, localized, and non persistent impairments in digitized film archive. Many methods have been proposed so far for detecting them and restoring the underlyi...
Antoni Buades, Julie Delon, Yann Gousseau, Simon M...
Many computer vision algorithms make use of local features, and rely on a systematic comparison of these features. The chosen dissimilarity measure is of crucial importance for th...
Wireless sensor networks represent an extremely fastgrowing emerging technology, but still suffer from several limitations. The state of the art in sensor networks focuses on opti...
Andreea Berfield, Panos K. Chrysanthis, Daniel Mos...