478 citations · 1.5k across the 97 of their papers we have counts for
6 papers · 1 filter
Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-to-Image Translation
Matteo Tomei, Marcella Cornia, Lorenzo Baraldi +1
The applicability of computer vision to real paintings and artworks has been rarely investigated, even though a vast heritage would greatly benefit from techniques which can unders…
Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions
Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara
Current captioning approaches can describe images using black-box architectures whose behavior is hardly controllable and explainable from the exterior. As an image can be describe…
Latent Space Autoregression for Novelty Detection
Davide Abati, Angelo Porrello, Simone Calderara +1
Novelty detection is commonly referred to as the discrimination of observations that do not conform to a learned model of regularity. Despite its importance in different applicatio…
A Graph Transduction Game for Multi-target Tracking
Tewodros Mulugeta Dagnew, Dalia Coppi, Marcello Pelillo +1
Semi-supervised learning is a popular class of techniques to learn from labeled and unlabeled data. The paper proposes an application of a recently proposed approach of graph trans…
Learning to Generate Facial Depth Maps
Stefano Pini, Filippo Grazioli, Guido Borghi +2
In this paper, an adversarial architecture for facial depth map estimation from monocular intensity images is presented. By following an image-to-image approach, we combine the adv…
Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World
Matteo Fabbri, Fabio Lanzi, Simone Calderara +3
Multi-People Tracking in an open-world setting requires a special effort in precise detection. Moreover, temporal continuity in the detection phase gains more importance when scene…