Berlincioni, Lorenzo; Cultrera, Luca; Bertini, Marco; Del Bimbo, Alberto (2025). Navigating social contexts: A transformer approach to relationship recognition. COMPUTER VISION AND IMAGE UNDERSTANDING, vol. 254, pp. 0-0, ISSN:1077-3142 DOI  

  Berlincioni, Lorenzo; Cultrera, Luca; Becattini, Federico; Bimbo, Alberto Del (2024). Neuromorphic valence and arousal estimation. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, pp. 1-11, ISSN:1868-5137 DOI  

  Federico Becattini, Lorenzo Berlincioni, Luca Cultrera, Alberto Del Bimbo (2024). Neuromorphic face analysis: A survey. PATTERN RECOGNITION LETTERS, pp. 42-48, ISSN:0167-8655 DOI  

  Cultrera, Luca; Becattini, Federico; Seidenari, Lorenzo; Pala, Pietro; Bimbo, Alberto Del (2023). Addressing Limitations of State-Aware Imitation Learning for Autonomous Driving. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, pp. 1-10, ISSN:2379-8904 DOI  

  Luca Cultrera (2023). Visual attention and explainability in end-to-end autonomous driving. (Tutor: Prof. Pietro Pala, Prof. Lorenzo Seidenari)

  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, pp. 1-13, ISSN:1868-5137 DOI   Accesso ONLINE all'editore

  Ettore Maria Celozzi; Luca Ciabini; Luca Cultrera; Pietro Pala; Stefano Berretti; Mohamed Daoudi; Alberto Del Bimbo (2020). Modelling the Statistics of Cyclic Activities by Trajectory Analysis on the Manifold of Positive-Semi-Definite Matrices. In: IEEE International Conference on Automatic Face and Gesture Recognition, Buenos Aires, 16-20 Novembre 2020, IEEE, pp. 351-355, ISBN:978-1-7281-3079-8 DOI   Accesso ONLINE all'editore

  Cultrera L.; Seidenari L.; Becattini F.; Pala P.; Del Bimbo A. (2020). Explaining autonomous driving by learning end-to-end visual attention. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020, usa, 2020, IEEE Computer Society, vol. 2020-, pp. 1389-1398, ISBN:978-1-7281-9360-1 DOI