This page contains some info about me and my work, my experience and the relevant stages of my career, as well as my qualifications. It’s a short non-comprehensive curriculum vitae.
You can also find below, a short summary of my research work (see the Research page for more details), together with some links to publication repositories, such as Google Scholar, Scopus, and DBLP.
It’s also possible to download my CV in pdf, more details are present there. I’ll try to maintain it updated periodically, approx twice a year.
As for the socials below, I use Twitter (X) and Linkedin almost exclusively for work, while Instagram for leisure, not really a frequent user indeed.
Vittorio Murino is full professor @ University of Verona, Dept. of Computer Science, Verona, Italy. He has a double appointment at the University of Genova (DIBRIS – Dept. of Informatics, Bioengineering, Robotics and Systems Engineering), and is a visiting scientist at Pattern Analysis & Computer Vision (PAVIS) department at the Italian Institute of Technology (IIT), where he acted as director from 2009 to 2019.
Laurea degree in Electronic Engineering, University of Genova, Italy, 1989 (summa cum laude).
PhD in Electronic Engineering & Computer Science, University of Genoa, 1992 (topics in Signal and Image Processing, Computer Vision, Pattern Recognition).
Post-Doctoral Fellowship in Signal & Image Processing and Computer Science, Department of Biophysical & Electronic Engineering (DIBE), University of Genova, 1994 – 1995.
Assistant Professor from 1995 to 1998, University of Udine, Italy.
Associate Professor from 1998 to 2000, University of Verona, Italy.
Full Professor since 2000, University of Verona, Italy.
Chairman of Department of Computer Science of the University of Verona from 2001 (year of foundation) to 2007.
Director (Principal Investigator) of PAVIS, Pattern Analysis & Computer Vision, at the Italian Institute of Technology (IIT), Genova, Italy, from 2009 to 2019.
Senior Video Intelligence Expert @ Ireland Research Centre, Huawei Technologies (Ireland) Co. Ltd., Video Competence Centre, Dublin, Ireland, from 2019 to 2021.
Principal Investigator of AIGO – AI for Good research line @ Italian Institute of Technology, since October 2024.
Promoter and co-founder in 2005 of EVS Embedded Vision Systems S.r.l., the first spin-off of the University of Verona.
Appointed inventor for 6 patents.
Associate Editor of the following journals:
Computer Vision and Image Understanding (since 2014).
Machine Vision and Applications (since 2006).
Frontiers of Computer Vision (since 2022).
Member of the Advisory Boad of the Journal of Imaging, an open-access MDPI journal (from 2021).
Pattern Analysis and Applications (2004-2020).
IEEE Transactions on Cybernetics, formerly IEEE Transactions of Systems, Man, & Cybernetics, Part B: Cybernetics (1999-2016).
Pattern Recognition (1999-2016).
ELCVIA, an international electronic journal on research and applications in Computer Vision and Image Analysis (2001-2010).
Author/co-author of more than 400 papers in computer vision, pattern recognition, machine learning, image processing, and underwater acoustic imaging published in refereed international scientific journals or presented at the major conferences.
IEEE Fellow, the Institute of Electrical and Electronics Engineers (since 2022); formerly, IEEE Senior Member (since 2002).
IAPR Fellow, International Association of Pattern Recognition (since 2006).
ELLIS Fellow, European Laboratory for Learning and Intelligent Systems (since 2021).
Main expertise on computer vision and pattern recognition, machine and deep learning, image and signal processing, and neuroimaging (data analysis).
Main research focus lies now on deep learning, specifically on domain adaptation and generalization, multimodal learning, learning with privileged information, zero and few-shot learning, and disentangling representation models. In general, I am interested in learning with imperfect data (imbalance, no/noisy labels, biased data), and how to leverage generated synthetic data to reach same performance as using real data.
Former experience in social signal processing approaches for the analysis of (even nonverbal) human behavior, with main applications related to surveillance and security, human-human and human-machine interaction, ambient intelligence, and retailing. Also major experience in standard industrial application domains such as visual inspection and automation.
Some numbers and pubs:
My CV and main publications (pdf), updated at October 2024: