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Elisa Ricci

Permanent researcher
  • 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 joint laboratory between the University of Trento and the Bruno Kessler Foundation, concerning the area of computer vision for robotics. 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. Gloria Zen; Enver Sangineto; Elisa Ricci; Nicu Sebe,
    ACM International Conference on Multimodal Interaction (ICMI),
    2014
    , (ACM International Conference on Multimodal Interaction (ICMI),
    Istambul,
    12-16 November)
  2. Yan Yan; Elisa Ricci; Negar Rostamzadeh; Nicu Sebe;,
    It's All About Habits: Exploiting Multi-Task Clustering for Activities of Daily Living Analysis,
    IEEE International Conference on Image Processing,
    2014
    , (IEEE International Conference on Image Processing,
    Paris,
    27-30 october)
  3. E. Ricci; G. Zen; N. Sebe; S. Messelodi,
    in «IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE»,
    vol. 35,
    n. 3,
    2013
    , pp. 513 -
    526
  4. Lucia Bissi;Giuseppe Baruffa;Pisana Placidi;Elisa Ricci;Andrea Scorzoni;Paolo Valigi,
    Automated defect detection in uniform and structured fabrics using Gabor filters and PCA,
    in «JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION»,
    vol. 24,
    2013
    , pp. 838 -
    845
  5. Porzi L.; Messelodi S.; Modena C.M.; Ricci E.,
    ACM Multimedia 2013,
    ACM,
    2013
    , pp. 19-
    24
    , (IMMPD'13: 3rd ACM International Workshop on Interactive Multimedia on Mobile & Portable Devices,
    Barcelona, Spain,
    22 October 2013)
  6. Yan Y;; Ricci E.; Subramanian R.; Lanz O.; Sebe N.,
    No Matter Where You Are: Flexible Graph-guided Multi-task Learning for Multi-view Head Pose Classification Under Target Motion,
    Proceedings of ICCV 2013,
    2013
    , pp. 1177-
    1184
    , (International Conference on Computer Vision,
    Sydney,
    Dec 3-6, 2013)
  7. Yan Yan;Gaowen Liu;Elisa Ricci;Nicu Sebe,
    Clustered Multi-task Linear Discriminant Analysis for View Invariant Color-Depth Action Recognition,
    Proceedings of the International Conference on Image Processing,
    2013
    , pp. 2842-
    2846
    , (International Conference on Image Processing,
    24-28/08/2014)
  8. Gabriele Costante;Thomas A. Ciarfuglia;Paolo Valigi;Elisa Ricci,
    A transfer learning approach for multi-cue semantic place recognition,
    2013 IEEE/RSJ International Conference on Intelligent Robots and Systems,
    2013
    , pp. 2122-
    2129
    , (IEEE/RSJ International Conference on Intelligent Robots and Systems,
  9. R.L. Vieriu; A. Rajagopal; R. Subramanian; O. Lanz; E. Ricci; N. Sebe; K. Ramakrishnan,
    Boosting-based Transfer Learning for Multi-View Head-Pose Classification From Surveillance Videos,
    Proc. European Signal Processing Conference (EUSIPCO 2012),
    2012
    , (European Signal Processing Conference 2012,
    Bucharest, Romania,
    27-31/08/2012)
  10. A. Rajagopal; R. Subramanian; R. Vieriu; E. Ricci; O. Lanz; N. Sebe; K. Ramakrishnan,
    An Adaptation Framework for Head Pose Estimation in Dynamic Multi-view Scenarios,
    Proc. Asian Conference on Computer Vision (ACCV’12),
    2012
    , (Asian Conference of Computer Vision, ACCV'12,
    Daejeon, Korea,
    Da 5/11/2012 a 9/11/2012)

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