no code implementations • CVPR 2018 • Federico Pernici, Federico Bartoli, Matteo Bruni, Alberto del Bimbo
It is shown that the proposed learning procedure is asymptotically stable and can be effectively used in relevant applications like multiple face identification and tracking from unconstrained video streams.
no code implementations • 6 May 2017 • Federico Bartoli, Giuseppe Lisanti, Lamberto Ballan, Alberto del Bimbo
To this end, we propose a "context-aware" recurrent neural network LSTM model, which can learn and predict human motion in crowded spaces such as a sidewalk, a museum or a shopping mall.