1 citations · 2 across the 6 of their papers we have counts for
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cs.CV2017
Face-from-Depth for Head Pose Estimation on Depth Images
Guido Borghi, Matteo Fabbri, Roberto Vezzani +2
Depth cameras allow to set up reliable solutions for people monitoring and behavior understanding, especially when unstable or poor illumination conditions make unusable common RGB…
cs.CV2017
Generative Adversarial Models for People Attribute Recognition in Surveillance
Matteo Fabbri, Simone Calderara, Rita Cucchiara
In this paper we propose a deep architecture for detecting people attributes (e.g. gender, race, clothing ...) in surveillance contexts. Our proposal explicitly deal with poor reso…