Ricercatore Legge 240/10 - tempo determinato


Federico Becattini is a Tenure-Track Assistant Professor at the University of Siena, Italy. He obtained his Ph.D. in 2018 from the University of Florence under the supervision of Prof. Alberto Del Bimbo and Prof. Lorenzo Seidenari. His research interests mostly focus on Computer Vision and Deep Learning, working in several fields such as autonomous driving, human behavior understanding and neuromorphic vision as well as cultural heritage and fashion recommendation. He has a strong interest towards memory-based neural networks, which he has employed in several international publications including top-tier conferences and journals such as CVPR, ECCV, IEEE TPAMI and ACM TOMM. On this subject, he also held tutorials at international conferences such as ICIAP 2022 and ACM MM 2022 and Ph.D. courses at the University of Florence and University of Siena. Recently, he has also co-organized the workshops “Facial and Body Expressions” at ICPR2020, “Towards a Complete Analysis of People: From Face and Body to Clothes (T-CAP)” at ICIAP2021 and ICPR2022, “Multimedia Computing towards Fashion Recommendation (MCFR)” at ACM MM 2022 and “1st International Workshop and Challenge on People Analysis: From Face, Body, and Fashion to 3D Virtual Avatars (WCPA)” at ECCV 2022. He has co-authored approximately 50 scientific papers in journals and international conferences and he serves as Associate Editor of the International Journal of Multimedia Information Retrieval (IJMIR). He also serves as a reviewer for top-tier conferences and journals in multimedia and computer vision.

Office hours

  • Friday from 14:30 to 15:30
    Place: Ufficio del docente
    Note: Contattare precedentemente via mail per concordare luogo o modalità (presenza/online) del ricevimento

Curriculum Vitae

Teaching activities

Completion accademic year: 2024/2025

Course year: 1 Second cycle degree (Laurea Magistrale) COMMUNICATION STRATEGIES AND TECHNIQUES A.Y. 2024/2025
Course year: 2 Second cycle degree (Laurea Magistrale) ENGINEERING MANAGEMENT A.Y. 2023/2024

Completion accademic year: 2023/2024

Course year: 2 Second cycle degree (Laurea Magistrale) ENGINEERING MANAGEMENT A.Y. 2022/2023

Completion accademic year: 2022/2023

Course year: 2 Second cycle degree (Laurea Magistrale) ENGINEERING MANAGEMENT A.Y. 2021/2022


Ultime pubblicazioni:

  • Cultrera, L., Becattini, F., Seidenari, L., Pala, P., Bimbo, A.D. (2024). Addressing Limitations of State-Aware Imitation Learning for Autonomous Driving. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 10 [10.1109/TIV.2023.3336063]. - view more
  • Marchetti, F., Becattini, F., Seidenari, L., Bimbo, A.D. (2024). SMEMO: Social Memory for Trajectory Forecasting. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE [10.1109/TPAMI.2024.3356755]. - view more
  • Ciamarra, A., Becattini, F., Seidenari, L., Del Bimbo, A. (2024). FLODCAST: Flow and depth forecasting via multimodal recurrent architectures. PATTERN RECOGNITION, 150 [10.1016/j.patcog.2024.110337]. - view more
  • Becattini, F., Bisogni, C., Loia, V., Pero, C., Hao, F. (2023). Head Pose Estimation Patterns as Deepfake Detectors. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING, COMMUNICATIONS AND APPLICATIONS [10.1145/3612928]. - view more
  • Cultrera, L., Becattini, F., Seidenari, L., Pala, P., Del Bimbo, A. (2023). Explaining autonomous driving with visual attention and end-to-end trainable region proposals. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING [10.1007/s12652-023-04550-8]. - view more