In this paper, we present HirondML, an Objective Caml library implementing migrating threads. Our library is based on a simplified implementation of the Fair Threads, a reactive t...
Emmanuel Chailloux, Vivien Ravet, Julien Verlaguet
We introduce a method for unsupervised clustering of images of 3D objects. Our method examines the space of all images and partitions the images into sets that form smooth and par...
This paper presents a new surface reconstruction method that extends previous carving methods for non-Lambertian objects by integrating the smoothness and image information of dif...
A global parametric shape model (boundary) of the object is optimized according to evidence accumulated from local features and the prior probability of the model parameters learn...
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...