Long Bio
Lavinia De Divitiis received her Master’s Degree in Computer Engineering from the University of Florence in 2020 with the thesis “Garment Recommendation with Memory Augmented Networks”.
She worked as a researcher at MICC, where she collaborated with Prof. Lorenzo Seidenari on the WILD.AI project The project aimed to develop a platform for managing data from wildlife camera traps by integrating Artificial Intelligence and computer vision with ecological tools.
Under the supervision of Prof. Alberto Del Bimbo, she also worked on style-based fashion recommendation using memory augmented networks. Her research activities at MICC focused on Object Detection, Classification, Recommendation and Retrieval.
She is currently Technical Project Leader and AI & Computer Vision Expert at MOVYON – Gruppo Autostrade per l’Italia.
Area of Expertise
Computer Vision · Object Detection · Image Retrieval · Recommendation Systems