You are here

Publications

  1. Gainza, P.; Sverrisson, F.; Monti, F.; Rodolà, E.; Boscaini, D.; Bronstein, M. M.; Correira, B. E.,
    Learning interaction patterns from surface representations of protein structure,
    Workshop on Graph Representation Learning at the 33rd Conference on Neural Information Processing Systems (NeurIPS 2019),
    2019
  2. Ilyes Lakhal, Mohamed; Lanz, Oswald; Cavallaro, Andrea,
    IEEE International Conference on Computer Vision,
    2019
    , pp. 7577-
    7587
    , (ICCV,
    Seoul,
  3. Siarohin, Aliaksandr; Zen, Gloria; Sebe, Nicu; Ricci, Elisa,
    Enhancing Perceptual Attributes with Bayesian Style Generation,
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),
    vol.11361,
    2019
    , pp. 483-
    498
    , (14th Asian Conference on Computer Vision, ACCV 2018;,
    Perth, Australia,
    2 December - 6 December 2018)
  4. Sudhakaran, Swathikiran; Lanz, Oswald,
    CVPR19 Workshop - Mutual benefits of cognitive and computer vision,
    2019
    , (CVPR19 Workshop - Mutual benefits of cognitive and computer vision,
    Long Beach, CA,
    16 June, 2019)
  5. Sorio, Claudio; Lotti, Virginia; Kleinfelder, Karina; Lecca, Paola; Lecca, Michela; Conti, Jessica; Preato, Sara; Rescigno, Francesca; Farinazzo, Alessia; Fedrigo, Arianna; Quiri, Federica; Rodella, Luca; Cerofolini, Angelo; Lombardo, Francesco; Catalano, Filippo; de Jonge, Hugo; Melotti, Paola,
    Testing intestinal organoids for the prediction of response to CFTR potentiators and correctors used in clinic (FFC#13/2018),
    Verona - Italia,
    November 14-16th, 2019,
  6. Rizzi, Alessandro; Plutino, Alice; Lecca, Michela,
    2019
  7. Sudhakaran, Swathikiran; Escalera, Sergio; Lanz, Oswald,
    In this report we describe the technical details of our submission to the EPIC-Kitchens 2019 action recognition challenge. To participate in the challenge we have developed a number of CNN-LSTA [3] and HF-TSN [2] variants, and submitted predictions from an ensemble compiled out of these two model families. Our submission, visible on the public leaderboard with team name FBK-HUPBA, achieved a top-1 action recognition accuracy of 35.54% on S1 setting, and 20.25% on S2 setting.,
    2019
  8. Zou, Yu; Gottardi, Massimo; Lecca, Michela; Perenzoni, Matteo,
    Demo: Always-On VGA Vision Sensor with Pixel-Wise Double-Threshold Background Rejection for Event-Detection, presented at
    ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), July 29-31, 2019 @ EPFL, Lausanne, Switzerland
    ,
    2019
  9. Sudhakaran, Swathikiran; Escalera, Sergio; Lanz, Oswald,
    2019
  10. Varadarajan, Jagannadan; Subramanian, Ramanathan; Rota Bulò, Samuel; Ahuja, Narendra; Lanz, Oswald; Ricci, Elisa,
    in «INTERNATIONAL JOURNAL OF COMPUTER VISION»,
    vol. 126,
    n. 2-4,
    2018
    , pp. 410 -
    429

Pages