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Elisa Ricci

Visitor
  • Phone: 0461314526
  • FBK Trento
Short bio

Elisa Ricci received her M.S. and Ph.D. degree in Electrical Engineering from the University of Perugia respectively in 2004 and 2008. Her M.S. thesis with title "On the Use of Neural Networks to Solve the Reverse Modeling Problem for Scanning Capacitance Microscopy" was developed during a period of six month internship at the Integrated Systems Laboratory (IIS) of the Swiss Federal Institute of Technology (ETH) in Zurich. During her PhD she spent one year as a visiting student at University of Bristol working in the Pattern Analysis and Intelligent Systems group. Her PhD dissertation was about a novel theoretical and algorithmic framework for learning with structured data. After her PhD she joined the Idiap Research Institute, Martigny, Switzerland, where she stayed one year as a postdoctoral researcher. From March 2009 till December 2010 she was with the TeV team. Then she moved to University of Perugia to join again TeV in October 2013, till end of 2016. In 2017 she was with University of Perugia and since 2018 she performs research in the VLL, Vision and Learning joint Laboratory, between the University of Trento and the Fondazione Bruno Kessler, concerning the area of computer vision for robotics. Since 2020 she is head of Deep Visual Learning (DVL) unit at Fondazione Bruno Kessler. Her reseach interests are mainly in the areas of machine learning and computer vision. She is currently working on object tracking and activity recognition.

Publications
  1. Ricci, Elisa; Tobia, Francesco; G., Zen,
    Proc. of International Conference on Pattern Recognition - ICPR,
    IEEE,
    2010
    , pp. 149-
    152
    , (International Conference on Pattern Recognition (ICPR),
    Istanbul, Turkey,
    08/23/2010 - 08/26/2010)
  2. S. Duffner; J.M. Odobez; E. Ricci,
    2009
    , (British Machine Vision Conference - BMVC 2009,
    London, UK,
    from 09/07/2009 to 09/09/2009)
  3. E. Ricci; J.M Odobez,
    Learning Large Margin Likelihoods for Realtime Head Pose Tracking,
    Image Processing (ICIP), 2009 16th IEEE International Conference on,
    2009
    , pp. 2565-
    2568
    , (16th IEEE International Conference on Image Processing - ICIP 2009,
    Cairo, Egypt,
    from 11/ 07/2009 to 11/ 10/2009)
  4. E. Ricci; T. De Bie; N. Cristianini,
    in «JOURNAL OF MACHINE LEARNING RESEARCH»,
    vol. 9,
    2008
    , pp. 2803 -
    2846
  5. E. Ricci; R. Perfetti,
    Recurrent Correlation Associative Memories: A Feature Space Perspective,
    in «IEEE TRANSACTIONS ON NEURAL NETWORKS»,
    vol. 19,
    2008
    , pp. 333 -
    345
  6. E. Ricci; R. Perfetti,
    Large Margin Methods for Structured Output Prediction.,
    Computational Intelligence Paradigms,
    Berlin,
    Springer-Verlag,
    2008
    , pp. 109 -
    132
  7. N. Cristianini; E. Ricci,
    Support Vector Machines,
    Encyclopedia of Algorithms,
    Berlin,
    Springer-Verlag,
    2008
    , pp. 928 -
    932
  8. E. Ricci; R.Perfetti,
    Retinal blood vessel segmentation using line operators and support vector classification.,
    in «IEEE TRANSACTIONS ON MEDICAL IMAGING»,
    vol. 26,
    n. 10,
    2007
    , pp. 1357 -
    1365
  9. R. Perfetti; E. Ricci; D. Casali; G. Costantini,
    Cellular neural network with virtual template expansion for Retinal Vessel Segmentation,
    in «IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. II, EXPRESS BRIEFS»,
    vol. 54,
    n. 2,
    2007
    , pp. 141 -
    145
  10. E. Ricci; T. De Bie; N. Cristianini,
    Discriminative sequence labeling by Z-score optimization,
    2007
    , pp. 274-
    285
    , (18th European Conference on Machine Learning (ECML 2007),
    Warsaw, Poland,
    09/17/2007 - 09/21/2007)

Pages