RAVANBAKHSH, SAYYED MAHDYAR

RAVANBAKHSH, SAYYED MAHDYAR  

100026 - Dipartimento di Ingegneria navale, elettrica, elettronica e delle telecomunicazioni  

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A multi-perspective approach to anomaly detection for self -aware embodied agents 1-gen-2018 Baydoun, Mohamad; Ravanbakhsh, Mahdyar; Campo, Damian; Marin, Pablo; Martin, David; Marcenaro, Lucio; Cavallaro, Andrea; Regazzoni, Carlo S.
Abnormal Event Detection in Videos using Generative Adversarial Nets 1-gen-2017 Ravanbakhsh, SAYYED MAHDYAR; Moin, Nabi; Enver, Sangineto; Marcenaro, Lucio; Regazzoni, Carlo; Nicu, Sebe
CNN-aware binary MAP for general semantic segmentation 1-gen-2016 Ravanbakhsh, Mahdyar; Mousavi, Hossein; Nabi, Moin; Rastegari, Mohammad; Regazzoni, Carlo
Fast but Not Deep: Efficient Crowd Abnormality Detection with Local Binary Tracklets 1-gen-2018 Ravanbakhsh, Mahdyar; Mousavi, SEYYED HOSSEIN; Nabi, Moin; Marcenaro, Lucio; Regazzoni, Carlo
Generative Models for Novelty Detection Applications in abnormal event and situational changedetection from data series 25-feb-2019 Ravanbakhsh, SAYYED MAHDYAR
HIERARCHY OF GANS FOR LEARNING EMBODIED SELF-AWARENESS MODEL 1-gen-2018 Ravanbakhsh, SAYYED MAHDYAR; Baydoun, M; Campo, D; Marin, P; Martin, D; Marcenaro, L; Regazzoni, C. S.
Learning Multi-Modal Self-Awareness Models for Autonomous Vehicles from Human Driving 1-gen-2018 Ravanbakhsh, Mahdyar; Baydoun, Mohamad; Campo, Damian; Marin, Pablo; Martin, David; Marcenaro, Lucio; Regazzoni, Carlo S.
Learning Self-Awareness for Autonomous Vehicles: Exploring Multisensory Incremental Models 1-gen-2020 Ravanbakhsh, Mahdyar; Baydoun, Mohamad; Campo, Damian; Marin, Pablo; Martin, David; Marcenaro, Lucio; Regazzoni, Carlo