Elaborati DBMM 2016

Finding objects from spatio-temporal object proposal consistency CUFFARO

Testing Trajectory-Pooled Deep-Convolutional Descriptors for action recognition

CNN for automatic data collection and filtering MEUCCI

Learning to predict Visual Aesthetics with convolutional neural networks KHABBAZI

Improve the Web AnnotationToll for Surveillance Scenarios (WATSS) with Computer  Vision CIONI

Convolutional auto-encoders

Learning Deep Networks with Noise GUIDUCCI, MUGNAI

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