26 citations · 69 across the 12 of their papers we have counts for
16 papers
Joint reconstruction-segmentation on graphs
Jeremy Budd, Yves van Gennip, Jonas Latz +2
Practical image segmentation tasks concern images which must be reconstructed from noisy, distorted, and/or incomplete observations. A recent approach for solving such tasks is to…
An Analysis of Generative Methods for Multiple Image Inpainting
Coloma Ballester, Aurelie Bugeau, Samuel Hurault +2
Image inpainting refers to the restoration of an image with missing regions in a way that is not detectable by the observer. The inpainting regions can be of any size and shape. Th…
Unsupervised Clustering of Roman Potsherds via Variational Autoencoders
Simone Parisotto, Ninetta Leone, Carola-Bibiane Schönlieb +1
In this paper we propose an artificial intelligence imaging solution to support archaeologists in the classification task of Roman commonware potsherds. Usually, each potsherd is r…
Mathematical osmosis imaging for multi-modal and multi-spectral applications in Cultural Heritage conservation
Simone Parisotto, Luca Calatroni, Claudia Daffara
In this work we present a dual-mode mid-infrared workflow [6], for detecting sub-superficial mural damages in frescoes artworks. Due to the large nature of frescoes, multiple therm…
Art Speaks Maths, Maths Speaks Art
Ninetta Leone, Simone Parisotto, Kasia Targonska-Hadzibabic +4
Our interdisciplinary team Mathematics for Applications in Cultural Heritage (MACH) aims to use mathematical research for the benefit of the arts and humanities. Our ultimate goal…
Unsupervised clustering of Roman pottery profiles from their SSAE representation
Simone Parisotto, Alessandro Launaro, Ninetta Leone +1
In this paper we introduce the ROman COmmonware POTtery (ROCOPOT) database, which comprises of more than 2000 black and white imaging profiles of pottery shapes extracted from 11 R…