Optimisation de la Fonction de distribution de la réflectance bidirectionnelle (FDRB) à partir d’un cube de données de télédétection multi-sources et multi-temporelles

L’accroissement incessant des données satellitaires offre des moyens sans précédents afin de mieux comprendre et caractériser les environnements maritimes et terrestres de notre planète. Ce projet vise à tirer profit des plus récents standards, outils et données ouvertes dans le domaine de l’observation de la Terre afin d’utiliser toutes les données à notre disposition pour […]

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Automatic Casting from Videos Using Deep Convolutional Neural Networks

In automatic casting applications, the aim is to accurately recognise facial regions that correspond to a same actor appearing in a movie to produce described video. In particular, this project will focus on challenging tasks of capturing and modeling the facial trajectory for each person appearing in a movie in order to predict when/where the […]

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Exploring Deep Learning Architectures for Automatic Casting from Movies

Automatic casting applications aim is to accurately recognise facial regions that correspond to a same actor appearing in a movie to produce described video. This project will focus on the tasks of re-identify the face of each principal actors when they appear in different scenes of a movie. This is a challenging task because although […]

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