Alessio is a researcher with 10 years of academic experience and expertise in computer vision and deep learning. Alessio contributed computer vision and deep learning methods and audio-visual datasets for human-robot collaborations, decentralised vision methods for collaborative 3D reconstruction and navigation, and benchmarks of graph neural networks for visual privacy and explainability. His research interests includes vision-language models for zero-shot open-vocabulary object detection, learning-based models for visual privacy (image privacy classification), and perception-based pipelines for human-to-robot handovers.

Alessio was a PostDoc with the School of Electronic Engineering and Computer Science at Queen Mary University of London (QMUL), UK, from April 2020 until October 2025. He obtained the Ph.D. in Electronic Engineering with a research focus on Computer Vision from Queen Mary University of London, UK, in September 2020. He obtained the Master Degree in Telecommunications Engineering and the Bachelor Degree in Electronics and Telecommunication Engineering from the University of Trento in March 2015 and February 2012, respectively.

Research interests

Computer Vision | Machine Learning | Deep learning | Image and video processing | Perception for robotics | Visual privacy

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News

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Recent blog posts

Benchmarking via Competitions in
Robotic Grasping and Manipulation

Workshop organiser
Workshop @IROS25 - Call for Contributions

Autonomous Robotic Grasping and
Manipulation in Real-World Applications

Guest editor
IEEE RA-P Special Collection - Call for Papers

Awards
Outstanding Reviewer at ECCV 2024

Awards

Outstanding Reviewer ECCV 2024 (top 3% of 7,293 reviewers)	Outstanding Reviewer IEEE/CVF CVPR 2024 (top 2% of 9,872 reviewers)	Outstanding Reviewer IEEE ICASSP 2023	Outstanding Reviewer IEEE ICASSP 2022 (31 reviewers selected)	Top Reviewer IEEE ICIP 2020 (top 3% - 22 reviewers selected)