Deep architectures are families of functions corresponding to deep circuits. Deep Learning algorithms are based on parametrizing such circuits and tuning their parameters so as to ...
We consider a problem central in aerial visual surveillance applications { detection and tracking of small, independently moving objects in long and noisy video sequences. We dire...
Predominant resources for execution of any application are computational power and memory. On one side, computational power has grown many folds faster than memory capacity. On th...
A wide class of geometry processing and PDE resolution methods needs to solve a linear system, where the non-zero pattern of the matrix is dictated by the connectivity matrix of th...
Non-photo realistic rendering (NPR) methods have been proposed for more than ten years in the Computer Graphic field. Separately, within past few years, several algorithms for ren...