• Pavia, Italy

    Computer Vision and Multimedia

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  • Computer Vision and Multimedia Lab - Pavia


    See the list of staff, students, and guests. read more

  • Computer Vision and Multimedia Lab


    The group has been active in the University of Pavia since the early 70s, first concentrating on image enhancement and restoration techniques, broadening then to high-level image processing domains. read more

  • Computer Vision and Multimedia Lab - Pavia


    A list of publications is presented to ensure timely dissemination of scholarly and technical work. read more

  • Computer Vision and Multimedia Lab - Pavia


    A list of Master and PhD thesis is presented.
    You can also find proposals to join the lab! read more

  • Computer Vision and Multimedia Lab - Pavia


    Here are the courses taught by our staff. read more

  • Computer Vision and Multimedia Lab - Pavia


    Workshops, seminars, conferences, reading groups, and a press room presenting the activities of the lab staff is listed. read more

  • Computer Vision and Multimedia Lab


    Dip. Ingegneria Industriale e dell'Informazione, Univ. Pavia
    Via A. Ferrata 5 - 27100 Pavia, Italy
    Tel: +39 0382 985372/985486 - Fax: +39 0382 422583 - Email: web-vision@unipv.it - http://vision.unipv.it

  • Computer Vision and Multimedia Lab



    Bioinformatics is one of the areas of scientific research currently expanding where pattern recognition techniques can found application. For more information please visit the site of the GIRPR Technical Committee in Bioinformatics

  • Computer Vision and Multimedia Lab - Pavia

    Internal Information

    Website available to the staff of the laboratory. read more

    internal information
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About Us

The Computer Vision & Multimedia Laboratory (CVML) has been active in the Department of Electrical, Computer and Biomedical Engineering of the University of Pavia since the early 70s. The group's initial research activities concentrated on image enhancement and restoration techniques, with a particular focus on medical imagery. Subsequently, the group's main efforts have been devoted to more advanced image processing functions, involving scene segmentation and shape characterization; a broad background has been acquired on low-level and intermediate-level vision tasks involving grey-level statistics and structural descriptions. Since the early 80s a new stream of research has been actively followed in the field of parallel architectures for vision and image processing. The group has meanwhile developed skills in high-level image processing domains, such as the management of knowledge description and learning capabilities for vision tasks.

Research, Projects and Awards

projects and awards

New research areas have been activated on Deep Reinforcement Learning for collaborative robotics, Proteomics, Eye Tracking for human-computer interaction and biometrics, Digital Humanities exploiting 3D modelling techniques to promote dissemination and accessibility of cultural heritage, Social Media Analysis and Mobile Mapping.
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PhD projects

Projects on gaze-based biometrics and convolutive neural networks applications to the classification and segmentation of biomedical images are now active.
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Best PhD thesis, best paper, best student recognition, top 40 under 40, ... for a full list
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Latest Events

19 2021 Mar

Marco Piastra (Univ. Pavia, IT)
Psicologia e intelligenza artificiale: insieme creano benessere?

xtream, Università di Pavia, Universtà Cattolica del Sacro Cuore (online)

03 2021 Feb

Roberto Marmo (Univ. Pavia, IT)
Algoritmi per l'Intelligenza Artificiale
AI for Humanity

Università IULM di Milano (online)

11 2021 Jan

Piercarlo Dondi (Univ. Pavia, IT)
Stylistic classification of historical violins: a deep learning approach
PatReCH 2020 (2nd International Workshop on Pattern Recognition for Cultural Heritage)

in conjunction with ICPR2020 (online)

Latest Projects

G-B Browser - a Gaze-Based Web Browser with Multiple Methods for Link Selection

HiEdTec - Modernisation of Higher Education in Central Asia through new Technologies

Netytar a gaze-based Virtual Digital Musical Instrument (Virtual DMI)

COSMOS: COntactlesS Multibiometric mObile System in the wild - PRIN 2015

FETCH - Future Education and Training in Computing: How to support learning at anytime anywhere

Research and development of eye-tracking and multimodal annotation techniques