Alessio is a Postdoctoral Research Assistant with the Centre for Intelligent Sensing and the School of Electronic Engineerging and Computer Science at Queen Mary University of London (QMUL), UK. In collaboration with and under the supervision of Prof. Andrea Cavallaro, Alessio currently investigates novel, robust, deployable multi-modal (audio-visual) models for human-to-robot handovers under the project "Collaborative Object Recognition, Shared Manipulation and Learning (CORSMAL)". Alessio is an IEEE Member and a reviewer for international conferences and journals, including IEEE International Conference on Image Processing (ICIP), IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP), IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE International Conference on Pattern Recognition (ICPR), IEEE Transactions on Multimedia, IEEE Robotics and Automation Letters, IEEE Sensors Journal. Alessio obtained his Ph.D. in Electronic Engineering, with the thesis titled "Local features for view matching across independently moving cameras", from Queen Mary University of London, UK, in September 2020. Alessio is also an IEEE Member and IEEE Signal Processing Society member.
Perception for human-to-robot handovers | Local image and spatio-temporal features
- 2022/05/27: Our paper "Audio-Visual Object Classification for Human-Robot Collaboration" has been ranked 4th for the most viewed posters and 22nd for the most downloaded papers at IEEE ICASSP 2022
- 2022/05/27: Outstanding Reviewer Recognition at IEEE ICASSP 2022 (31 reviewers selected)
- 2022/04/21: Presentations of the CORSMAL Challenge will be hosted virtually on Gather.Town at IEEE ICASSP 2022 on Saturday 7 May, 1pm UTC
- 2022/04/21: Webpage of the chapter on Visual Adversarial Attacks and Defenses is now online!
- 2022/03/28: CORSMAL features as CHIST-ERA Open Science Success Story at the CHIST-ERA Projects Seminar 2022
- 2022/03/26: Paper on the CORSMAL Benchmark framework accepted at IEEE Access
- 2022/02/15: Paper on the overview of the CORSMAL Challenge accepted at IEEE ICASSP
- 2021/12/07: Co-organising the CORSMAL Challenge at the 2021 Intelligent Sensing Winter School