Dr. Mariella Dimiccoli PhD

• 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)
  
  

• 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.

• 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.

• Member of the CVF

• Member of Women in Machine Learning

• Member of IEEE

Other activities and achievements/family

• One child

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