Short CV/Education and training

  • Since 2019
    Ramón y Cajal fellow at the Institute of Robotics and Industrial Informatics (CSIC-UPC)

  • 2016 – 2019
    Senior researcher in the Computer Vision at the University of Barcelona group (CVUB), University of Barcelona

  • 2016
    Visiting Scholar in the (Information School), University of Texas at Austin (USA)

  • 2014 – 2016
    (Marie Curie fellow, under the COFUND program Beatriu de Pinos in the Medical Imaging Lab (MiLab), Computer Vision Center

  • 2013 – 2014
    Visiting Professor in the Image Processing Group (GPI), Pompeu Fabra University

  • 2011 – 2013
    Post-doctoral researcher in the Laboratory of Applied Mathematics (MAP5), Université Paris Descartes

  • 2010 – 2011
    Post-doctoral researcher in the Laboratory of Physiology of Perception and Action (LPPA), CNRS-Collège de France

  • 2009
    Ph.D. degree in Image Processing from the Technical University of Catalonia (UPC)

  • 2007 – 2008
    Visiting Scholar in the (Information School), University of Texas at Austin (USA)

  • 2007 – 2008
    Pre-doctoral visiting fellow in the Center for Mathematical Studies and their Applications (CMLA), École Normale Supérieure de Cachan

  • 2006
    Master of Advanced Studies (MAS) from the Technical University of Catalonia (UPC)

  • 2005 – 2009
    Pre-doctoral fellow in the Image Processing Group (GPI), Universitat Politècnica de Catalunya

  • 2004
    Computer Engineering degree (M.Sc. equivalent) from the Polytechnic University of Bari (POLIBA)

Selected publications

  • M. Dimiccoli and H. Wendt. Learning event representations for temporal segmentation of image sequences by dynamic graph embedding. IEEE Transactions on Image Processing, 30: 1476-1486, 2020.

  • A. Cartas, P.Radeva, M.Dimiccoli. Modelling long-range interactions to enhance action recognition. Proceedings of the International Conference on Pattern Recognition (ICPR) 2020

  • A. Cartas, P. Radeva, M. Dimiccoli. Activities of Daily Living Monitoring via a Wearable Camera: Towards Real-World Applications. IEEE Access 2020.

  • S. Lonn, P. Radeva, M. Dimiccoli. Smartphone picture organization: A hierarchical approach. Journal of Computer Vision and Image Understanding, 2019.

  • E. Sanchez Aimar, P. Radeva, M. Dimiccoli. Social relation recognition in photostreams. Proceedings of the IEEE International Conference on Image Processing (ICIP), September 2019, Taipei, Taiwan.

Complete list of publications

Selected projects

  • GREAT – Beyond Graph Neural Networks: Joint graph topology learning and graph-based inference for computer vision.

    Funded by the Spanish Ministry of Science and Innovation. PI: Mariella Dimiccoli. Ref: PID2019-110977GAI00

  • PYERCING – Open your ears: predicting object material from impact sounds.

    Funded by UPC via the Maria de Maetzu Unit of excellence program. PI: Mariella Dimiccoli. Ref: MdM-IP-2020-02.

  • SPECTACLE – From Spectators to Actors: Understanding Social Interactions through the Eyes of a Participant. Funded by UPC via the Maria de Maetzu Unit of excellence program. PI: Mariella Dimiccoli . Ref: MdM-IP-2019-03.

Membership in scientific bodies/juries

  • Member of the CVF

  • Member of Women in Machine Learning

  • Member of IEEE

Soft Skills/Other activities and achievements

Other activities and achievements/family

  • One child


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