Giorgio Roffo received a European PhD degree in computer vision and pattern recognition from the University of Verona, Italy. He was a research associate at the University of Glasgow. Previously, he was with the Italian Institute of Technology (IIT), Genoa, Italy.
His current research interests are in statistical pattern recognition and computer vision, mainly in deep learning (supervised/
self-supervised learning), feature selection and attention models. On these topics, he has published several papers in prestigious journals and conferences.
He acts as an Associate Editor of the ICPR 2020, the premier world conference in Pattern Recognition.
He is a reviewer for the premier journal of the field IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
He is in the technical program committee of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), the IEEE International Conference on Computer Vision (ICCV), IEEE European Conference on Computer Vision (ECCV), International Joint Conferences on Artificial Intelligence (IJCAI).
His publishing track record shows one or more A* papers (top 1% of the SCImago SJR index) per annum while being associated with different institutions.
Infinite Feature Selection: A Graph-based Feature Filtering Approach. G. Roffo, S. Melzi, U. Castellani, A. Vinciarelli, and M. Cristani. In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2020), DOI 10.1109/TPAMI.2020.3002843.[pdf][arXiv]
SICSA PECE Grant 2019
Awarded a SICSA Postdoctoral and Early Career Researcher Exchanges (PECE).
MATLAB Central Coin 2016
April 10, 2017
Matlab FileExchange - Recognition for Outstanding Contributions (2016) in Feature Selection. The Feature Selection Library (FSLib) received more than 3,000 unique downloads in 2016, avg. ~300 downloads pcm (see FSLib online).