Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Exploiting deep residual networks for human action recognition from skeletal data


    Beteiligte:
    Pham, Huy-Hieu (Autor:in) / Khoudour, Louahdi (Autor:in) / Crouzil, Alain (Autor:in) / Zegers, Pablo (Autor:in) / Velastin, Sergio A. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2018-01-01


    Format / Umfang :

    16 pages



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Unbekannt



    Exploiting Privileged Information from Web Data for Action and Event Recognition

    Niu, L. / Li, W. / Xu, D. | British Library Online Contents | 2016


    R3DG features: Relative 3D geometry-based skeletal representations for human action recognition

    Vemulapalli, Raviteja / Arrate, Felipe / Chellappa, Rama | British Library Online Contents | 2016


    R3DG features: Relative 3D geometry-based skeletal representations for human action recognition

    Vemulapalli, Raviteja / Arrate, Felipe / Chellappa, Rama | British Library Online Contents | 2016


    Local fusion networks with chained residual pooling for video action recognition

    He, Feixiang / Liu, Fayao / Yao, Rui et al. | British Library Online Contents | 2019


    SNR-aware Automatic Modulation Recognition based on Modified Deep Residual Networks

    Yang, Jingya / Peng, Yan / Zhou, Yiqing et al. | IEEE | 2022