— Geometric shape modeling becomes increasingly complex and resource-demanding task. In this paper we propose a method to leverage the power of Grid to provide users with high-pr...
Anthony S. K. Chong, Konstantin Levinski, Alexei S...
In this paper, we propose a novel approach to model shape variations. It encodes sparsity, exploits geometric redundancy, and accounts for the different degrees of local variation...
As computational learning agents move into domains that incur real costs (e.g., autonomous driving or financial investment), it will be necessary to learn good policies without n...
We address the problem of multiclass object detection. Our aims are to enable models for new categories to benefit from the detectors built previously for other categories, and fo...
The use of CAD in design makes it possible to represent complex components “as manufactured” with a great number of details. A transformation of such models into Finite Elemen...
Gilles Foucault, Philippe M. Marin, Jean-Claude L&...