Long Bio
Federico Becattini was born in Florence in 1989. He received his Master’s Degree in Computer Engineering from the University of Florence in 2014 with the thesis “Accelerating Exemplar-SVM label transfer”.
In 2018, he obtained his PhD at the University of Florence under the supervision of Prof. Alberto Del Bimbo, Prof. Lorenzo Seidenari and Prof. Marco Bertini. During his PhD, he developed research interests in object detection and semantic annotation, as well as action recognition, working on the thesis “Object and action annotation in visual media beyond categories”.
He subsequently worked as a researcher at MICC, where he was involved in collaborations focusing on Autonomous Driving, Scene Understanding and Visual Question Answering.
He also took part as a teaching assistant in the Master’s course Visual and Multimedia Recognition, teaching deep learning and computer vision, and in the Bachelor’s course Progettazione e Produzione Multimediale, focusing on Internet of Things applications. Since 2019, he has also taught the Laboratorio di Tecnologia dell’Informazione course at the University of Florence.
His research interests include Computer Vision and Deep Learning, with applications in autonomous driving, human behaviour understanding, neuromorphic vision, cultural heritage and fashion recommendation. He has a particular interest in memory-based neural networks.
He is currently Associate Professor at the University of Siena.
Area of Expertise
Action Recognition · Autonomous Driving · Computer Vision · Deep Learning