Le prochain séminaire de l'équipe A3SI du LIGM (unité mixte de recherche de l'Université Paris Est) aura lieu le jeudi 1 décembre de 13h30 à 14h30 à ESIEE Paris (Salle 260).
Abstract: Distributed modeling, which formulates the problem of interest via a sum of energy terms each involving a small subset of variables, is one main methodology for addressing visual perception problems. We have been investigating such a methodology, particularly in the contexts of joint modeling for complementary tasks, 3D shape matching and inference, and developed distributed models for several important 2D, 2.5D, 3D, 2D-3D visual perception problems, including object detection, segmentation, tracking, 3D shape matching, 3D scene/surface inference and illumination estimation, etc. Recently, following the success of deep modeling in related research fields, we have been exploring the deep-learning-based techniques within the distributed modeling methodology for addressing challenging problems like occlusion boundary detection. In this talk, I will present the related research via several representative works.