I am an Assistant Professor at Politecnico di Torino, in the department of Control and Computer Engineering and part of the Visual and Multimodal Applied Learning lab (VANDAL), led by Prof. Barbara Caputo. My research interests and activities span the fields of machine learning, computer vision and robotics. In particular, I am guiding research activities on the following topics: visual place recognition, semantic segmentation, anomaly segmentation and detection.
Prior to joining the VANDAL laboratory in 2020, I had experiences working on different fields of research (robotics, control theory, machine learning), both in academia and in industry. From 2009 to 2017 I was a researcher at the Autonomous Robotics and Human Machine Systems group within the Max Planck Institute for Biological Cybernetics in Tübingen. I was there first as a visiting master student from the Sapienza University in Rome, then as a PhD student (obtained in 2014 from the University of Stuttgart, under the supervision of Dr. Paolo Robuffo Giordano and Prof. Antonio Franchi), and finally as a Postdoc. During that time, I worked mainly on problems of model based shared control and planning for various robotics platforms, including anthropomorphic manipulators, teams of drones and cable-driven parallel robots.
From 2017 to 2020 I worked as an autonomous driving specialist at Italdesign. There I contributed to the development of self-driving and assisted-driving concept vehicles, focusing mainly on motion planning and perception functions using cameras and lidars. I am proud to have participated to several amazing projects, including Pop.Up Next and WheeM-i.
|Nov 5, 2022||I have been appointed as Associate Editor for the IEEE Robotics and Automation Letters.|
|Aug 24, 2022||Our paper Learning Sequential Descriptors for Sequence-Based Visual Place Recognition was published in Robotics and Automation Letters.|
|Jun 13, 2022||Our paper Adaptive-Attentive Geolocalization From Few Queries: A Hybrid Approach was published in Frontiers in Computer Science - special issue on Domain Adaptation and Generalization in Challenging Visual Data Regimes.|
|May 21, 2022||I have been included in the list of outstanding reviewers for CVPR 2022!|
|May 3, 2022||One paper accepted to the 3rd International Workshop on AGRICULTURE-VISION hosted in conjunction with CVPR 2022: Augmentation Invariance and Adaptive Sampling in Semantic Segmentation of Agricultural Aerial Images.|
|Mar 3, 2022||Two papers accepted to CVPR 2022: Deep Visual Geolocalization Benchmark (Oral) and Rethinking Visual Geo-localization for Large-Scale Applications!|
- Journal.Learning Sequential Descriptors for Sequence-Based Visual Place RecognitionIEEE Robotics and Automation Letters 2022
- Conference Proc.Rethinking Visual Geo-localization for Large-Scale ApplicationsIn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022
- Conference Proc.
OralDeep Visual Geo-localization BenchmarkIn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022
- JournalShared Control of an Aerial Cooperative Transportation System with a Cable-suspended PayloadJournal of Intelligent & Robotic Systems 2021
- JournalA Survey on Deep Visual Place RecognitionIEEE Access 2021
- JournalIDDA: A Large-Scale Multi-Domain Dataset for Autonomous DrivingIEEE Robotics and Automation Letters 2020