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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 a member of the IEEE Signal Processing Society and the Computer Vision Foundation. 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, 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 received the Outstanding Reviewer recognition at 5 international conferences: ECCV 2024, CVPR 2024, IEEE ICASSP 2022-2023, and IEEE ICIP 2020.

Research interests

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


Upcoming events


15Oct

RGMC Workshop
IROS 2024

Abu Dhabi, UAE

News

2024/09/23 Recognised as an outstanding reviewer for ECCV 2024 [link]
2024/08/14 Accepted paper at the 12th International Workshop on Assistive Computer Vision and Robotics (ACVR) at ECCV 2024
2024/06/26 Accepted proposal for the 2024 Idiap Create Challenge
2024/06/17 Attending the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024) in Seattle, USA, and presenting "Explaining models relating objects and privacy" as poster at the XAI4CV workshop
2024/05/23 Recognised as an outstanding reviewer for CVPR 2024

All news

Recent blog posts

Awards

Award ECCV2024 Award CVPR2024 Award ICASSP23 Award ICASSP22 Award ICIP2020
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)


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