About Me

I studied at Univeristy of Verona, obtaining first a Bachelor’s Degree in Bioinformatics, and then a Master’s Degree in Computer Science and Engineering, curriculum Visual Computing. In 2021 I started PhD in Computer Science at the University of Verona.

Research Interest

My main research interests are Computer Vision (CV) and Deep Learning applied to CV. In particular, I am interested in people analysis, oriented to crowded and complex real-world environments. I have a lot of experience in handling real-world scenarios of video surveillance and applying deep learning techniques like for instance people detection, people tracking, gathering detection, etc.

Publications

In chronological order:

• Cunico F., et al. “6d pose estimation for industrial applications.” International Conference on Image Analysis and Processing. Springer, Cham, 2019.
• Cunico F., et al. “I-SPLIT: Deep Network Interpretability for Split Computing.” International Conference on Pattern Recognition (ICPR). IEEE, 2022.
• Cunico F., et al. “A Masked Face Classification Benchmark on Low-Resolution Surveillance Images” T-CAP Workshop of International Conference on Pattern Recognition (ICPR). IEEE, 2022.
• Becattini F., et al. “I-MALL An Effective Framework for Personalized Visits. Improving the Customer Experience in Stores.” Proceedings of the 1st Workshop on Multimedia Computing towards Fashion Recommendation. 2022.
• Capuzzo M., et al. “IoT Systems for Healthy and Safe Life Environments.” 2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI). IEEE, 2022.
• Sampieri A., et al. “Pose Forecasting in Industrial Human-Robot Collaboration.” European Conference on Computer Vision (ECCV), Springer, 2022.