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I am 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. I currently investigate machine learning models based on graph neural networks for explainable AI, specifically for the use-case of privacy protection in multimedia data (images, videos, and audio-visual data), under the project GraphNEx.

I obtained the Ph.D. in Electronic Engineering from Queen Mary University of London, UK, in September 2020, the Master Degree in Telecommunications Engineering and the Bachelor Degree in Electronic and Telecommunication Engineering from the University of Trento in March 2015 and February 2012, respectively. I was a Research Assistant and Postdoctoral Research Assistant in Queen Mary University of London and I investigated novel, robust, deployable multi-modal (audio-visual) models for human-to-robot handovers under the project "Collaborative Object Recognition, Shared Manipulation and Learning (CORSMAL)".

I am an IEEE Member and IEEE Signal Processing Society member, and I serve as a reviewer for international conferences and journals, including IEEE Transactions on Multimedia, IEEE Robotics and Automation Letters, IEEE Sensors Journal, IET Computer Vision, IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), European Conference on Computer Vision (ECCV), 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), British Machine Vision Conference (BMVC), and ACM/IEEE International Conference on Human-Robot Interaction (HRI). I was awarded the Top Reviewer Recognition at IEEE ICIP 2020, and the Oustanding Reviewer Recognition at IEEE ICASSP 2022 and IEEE ICASSP 2023, and CVPR 2024.

Research interests

Perception for robotics | Image privacy | Computer Vision | Machine and Deep learning | Image and video processing | Multi-modal fusion


News

2024/05/23 Recognised as outstanding reviewer for CVPR 2024
2024/01/20 Attending the 2024 International Conference on Robotics and Automation (ICRA) in Yokohama, Japan, and co-organising the Human-to-Robot Handovers Sub-track within the Robotic Grasping and Manipulation Competition
2024/04/16 Presenting the project GraphNEx at the annual CHIST-ERA Projects Seminar 2024
2024/04/07 Paper accepted as poster at XAI4CV Workshop at CVPR 2024
2024/02/07 Reviewer for the European Conference on Computer Vision (ECCV) 2024

All news



Upcoming events


18June

CVPR Workshop
XAI4CV

Seattle, USA







Awards

Award CVPR2024 Award ICASSP23 Award ICASSP22 Award ICIP2020
Outstanding Reviewer Recognition
IEEE/CVF CVPR 2024
(top 2% of 9,872 reviewers)
Outstanding Reviewer Recognition
IEEE ICASSP 2023
Outstanding Reviewer Recognition
IEEE ICASSP 2022
(31 reviewers selected)
Top Reviewer Recognition
IEEE ICIP 2020
(top 3% of reviewers - 22 reviewers selected)

Selected publications

TIP2020
A spatio-temporal multi-scale binary descriptor
IEEE Transactions on Image Processing 2020


Cross-Camera View-Overlap Recognition
International Workshop on Smart Distributed Cameras at European Conference on Computer Vision, 2022
ICIP2018
MORB: a multi-scale binary descriptor
IEEE International Conference on Image Processing 2018


The CORSMAL benchmark for the prediction of the properties of containers
IEEE Access, vol. 10, 2022



Audio-Visual Object Classification for Human-Robot Collaboration
IEEE International Conference on Acoustic, Speech and Signal Processing 2022
ICASSP2020

Multi-view shape estimation of transparent containers
IEEE International Conference on Acoustic, Speech and Signal Processing 2020


Contact information

Dr. Alessio Xompero
Postdoctoral Research Assistant

Centre for Intelligent Sensing
School of Electronic Engineering and Computer Science
Queen Mary University of London
Mile End Road, London E1 4NS, UK

a.xompero at qmul.ac.uk