In questo seminario presenterò alcuni risultati, ottenuti negli ultimi anni, riguardanti modelli variazionali per singolarità topologiche in due dimensioni e per flussi geometrici di tipo locale e non...
The goal of image denoising algorithms is to reduce the contribution of the observational noise intrinsic to the images, preserving information (e.g. small sources, morphological details etc.). State-...
Abstract: Glassy materials are characterized by being solid (for all practical purpose) at low temperature in absence of a sharp transition from the liquid phase to the solid state. They are ubi...
A way to overcome the concave/convex ambiguity of shape-from-shading (SfS) is to use several images of an object taken from different viewpoints, instead of a single one. A computer vision pipeline co...
Super-resolution is one of the most classical inverse problems in computer vision. Given one low-resolution and possibly noisy input image, it aims at estimating a higher-resolution and denoised image...
PDE-constrained optimization aims at finding optimal setups for partial differential equations so that relevant quantities are minimized. Including sparsity promoting terms in the formulation of such ...
After the brilliant result of Papanicolau and Varadhan (1979) in the case of bounded stationary and ergodic environments, there has been a recent upsurge in the research of quenched homogenization in ...
Abstract: A fundamental challenge in neuroscience is understanding how the central nervous system (CNS) succeeds in coordinating the many degrees-of-freedom of the musculoskeletal system to control li...
