The representation model that considers an image as a sparse linear combination of few atoms of a predefined or learned dictionary has received considerable attention in recent ye...
Abstract—A variational approach is proposed for the unsupervised assessment of attribute variability of high-dimensional data given a differentiable similarity measure. The key q...
In this paper we present a formal framework and tool supporting the user in the task of formulating a precise query – which best captures their information needs – even in the ...
Enrico Franconi, Paolo Guagliardo, Marco Trevisan,...
Existing scene flow approaches mainly focus on twoframe stereo-pair configurations and reconstruct an imagebased representation of scene flow. Instead, we propose a variational...
Cascades are a popular framework to speed up object detection systems. Here we focus on the first layers of a category independent object detection cascade in which we sample a l...