I am a PostDoc researcher in the PAVIS group at the Istituto Italiano di Tecnologia (IIT).
My research is focused on the problem of object-based visual localization. I am interest in how localization and movement through an environment could be approached in terms of the objects present in an environment, rather than a full reconstruction of the scene. Towards this purpose, I am currently focusing on subgraph-matching techniques to compare the estimated locations of an observed subset of object in a camera-centric reference system against the known locations of objects in an environment expressed in a GPS-aligned reference system. Future works will focus on object-based scene reconstruction, and in applying the supgraph-matching techniques to other computer vision problems.
Before starting to work at IIT I obtained a PhD degree in Electronic Engineering from the University of Surrey (UK), working on the topics of human pose estimation, structure from motion and implicit differentiation for nested optimization problems; this work resulted in my PhD thesis 'Continuous Learning of Inverse Problems with Applications to Structure from Motion', written under the supervision of Dr. Chris Russell and Prof. Adrian Hilton. My prior academic career includes a B.Sc. in Physics from the University of Trieste (IT) and a M.Sc. in Condensed Matter Physics from the University of Trieste. The latter resulted in the master thesis "Simulation of the effects of a habitat with non-constant curvature and variable complexity on the lattice structure of the grid cells and on the mechanisms involved in spatial representation in the hippocampus of a rodent", written in collaboration with the Limbo group from the International School for Advanced Studies (SISSA), under the supervision of Prof. Alessandro Treves.