You are here

Fabio Poiesi

Researcher
  • Phone: +39 0461 314802
  • FBK Povo
Short bio

I received BSc and MSc degrees in Telecommunication Engineering from the University of Brescia (Italy) in 2007 and 2010, respectively. I completed the Master thesis at Queen Mary University of London on the estimation of the ball position in basketball scenarios by looking at the behaviour of players. I then received my Ph.D. degree in Electronic Engineering and Computer Science from Queen Mary University of London (UK) in March 2014 under the supervision of Prof. Andrea Cavallaro. I continued working as a Postdoctoral Research Assistant in Queen Mary University of London for two years and half under the European project COPCAMS (ARTEMIS). I joined FBK-TEV in 2016 to conduct research and development activities in the context of visual scene understanding under the European project REPLICATE (H2020). Research activities include topics such as detection and tracking, registration, mapping and 3D modelling, and multi-sensor fusion to enable Augmented and Mixed Reality.

My research interests are in computer vision, image processing, video analysis and signal processing. I'm experienced in

  • video multi-object detection and tracking
  • performance evaluation of tracking algorithms
  • behaviour understanding and human interactions analysis in videos
  • optical flow analysis
  • robot vision for collision avoidance and coordination of multiple agents in a swarm.
Publications
  1. Bortolon, Matteo; Bazzanella, Luca; Poiesi, Fabio,
    Multi-view data capture for dynamic object reconstruction using handheld augmented reality mobiles,
    in «JOURNAL OF REAL-TIME IMAGE PROCESSING»,
    vol. 18,
    n. 2,
    2021
    , pp. 345 -
    355
  2. Boscaini, Davide; Poiesi, Fabio; Messelodi, Stefano; Younes, Ayman; Grande, Donato A.,
    Pattern Recognition. ICPR International Workshops and Challenges, Part IV,
    vol.12664,
    2021
    , pp. 692-
    704
    , (ICPR 2021: Pattern Recognition. ICPR International Workshops and Challenges,
    Virtual,
    January 10–15, 2021)
  3. Lakhal, Mohamed Ilyes; Boscaini, Davide; Poiesi, Fabio; Lanz, Oswald; Cavallaro, Andrea,
    Proceedings of the Asian Conference on Computer Vision,
    2020
    , (Asian Conference on Computer Vision (ACCV),
    Virtual Tokyo,
    Nov. 30 - Dec. 04)
  4. Poiesi, Fabio; Messelodi, Stefano; Chippendale, Paul; Bortolon, Matteo,
    Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,
    2020
    , pp. 730-
    740
    , (15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications,
    Valletta, Malta,
    February 27-29, 2020)
  5. Poiesi, Fabio; Boscaini, Davide,
    Distinctive 3D local deep descriptors,
    IEEE International Conference on Pattern Recognition,
    2020
  6. Boscaini, Davide; Poiesi, Fabio,
    Proceedings of Image Analysis and Processing – ICIAP 2019,
    vol.11751,
    2019
    , pp. 454-
    465
    , (International Conference on Image Analysis and Processing (ICIAP 2019),
    Trento, Italy,
    9-13 September 2019)
  7. Nocerino, Erica; Poiesi, Fabio; Remondino, Fabio; Van Gool, Luc,
    in «GIM INTERNATIONAL»,
    2018
  8. Nocerino, E.; Poiesi, F.; Remondino, F.; Van Gool, L.,
    in «GIM INTERNATIONAL»,
    vol. 32,
    n. 3,
    2018
    , pp. 18 -
    21
  9. Battisti, Caterina; Messelodi, Stefano; Poiesi, Fabio,
    Adjunct Proceedings of the IEEE International Symposium for Mixed and Augmented Reality 2018,
    IEEE,
    2018
    , (IEEE International Symposium for Mixed and Augmented Reality 2018,
    Munich - Germany,
    16-20th October 2018)
  10. Pani, Mirko; Poiesi, Fabio,
    Proceedings of International Conference on Augmented Reality, Virtual Reality and Computer Graphics,
    vol.10851,
    2018
    , pp. 655-
    667
    , (AVR 2018: Augmented Reality, Virtual Reality, and Computer Graphics,
    Otranto, Italy,
    24-27 June 2018)

Pages