This paper presents a novel landmark-based shape deformation method. This method effectively solves two problems inherent in landmark-based shape deformation: (a) identification o...
We propose a new machine learning paradigm called Graph Transformer Networks that extends the applicability of gradient-based learning algorithms to systems composed of modules th...
Log-polar or spatially-variant image representation is an important component of active vision system in tracking process for many robotic applications due to its data compression ...
On-line boosting is a recent advancement in the field of machine learning that has opened a new spectrum of possibilities in many diverse fields. With respect to a static strong...
Ingrid Visentini, Lauro Snidaro, Gian Luca Foresti
Computer games accessibility have initially been regarded as an area of minor importance as there were much more "serious" topics to focus on. Today, the society is slowl...
Dominique Archambault, Thomas Gaudy, Klaus Miesenb...