Bartolomeo Vacchetti

Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 36th cycle (2020-2023)
Department of Control and Computer Engineering (DAUIN)

Research Assistant
Department of Control and Computer Engineering (DAUIN)

Docente esterno e/o collaboratore didattico
Department of Control and Computer Engineering (DAUIN)

Profile

PhD

Thesis title

Creativity Injection into AI-powered Multimedia Storyboards

Tutors

Teaching

Teachings

Master of Science

MostraNascondi A.A. passati

Bachelor of Science

MostraNascondi A.A. passati

Research

Research groups

Publications

Latest publications View all publications in Porto@Iris

  • Massaglia, T.; Vacchetti, B.; Cerquitelli, T. (2024)
    DreamShot: Teaching Cinema Shots to Latent Diffusion Models. In: EDBT/ICDT, Paestum (ITA), 25-28 marzo 2024. ISSN 1613-0073
    Contributo in Atti di Convegno (Proceeding)
  • Greco, Salvatore; Vacchetti, Bartolomeo; Apiletti, Daniele; Cerquitelli, Tania (2024)
    DriftLens: A Concept Drift Detection Tool. In: Proceedings 27th International Conference on Extending Database Technology ( EDBT 2024 ), Paestum (IT), 25th March - 28th March, 2024, pp. 806-809. ISBN: 978-3-89318-091-2
    Contributo in Atti di Convegno (Proceeding)
  • Vacchetti, Bartolomeo; Dawit, Mureja; Cerquitelli, Tania (2023)
    LEMMS: Label Estimation of Multi-Feature Movie Segments. In: ICCV 2023 Workshop on AI for Creative Video Editing and Understanding, Paris (FR), 02-06 October 2023, pp. 3019-3027. ISBN: 979-8-3503-0744-3
    Contributo in Atti di Convegno (Proceeding)
  • Vacchetti, Bartolomeo; Cerquitelli, Tania (2023)
    Movie Lens: Discovering and Characterizing Editing Patterns in the Analysis of Short Movie Sequences. In: 17th European Conference on Computer Vision (ECCV 2022), Tel-Aviv, 23-27 Ottobre 2022, pp. 660-675. ISSN 1611-3349. ISBN: 978-3-031-25068-2
    Contributo in Atti di Convegno (Proceeding)
  • Berta, M.; Vacchetti, B.; Cerquitelli, T. (2023)
    GINN: Towards Gender InclusioNeural Network. In: 2023 IEEE International Conference on Big Data (BigData), Sorrento (IT), 15-18 december 2023, pp. 4119-4126. ISBN: 979-8-3503-2445-7
    Contributo in Atti di Convegno (Proceeding)