Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Recognizing Fine-Grained and Composite Activities Using Hand-Centric Features and Script Data


    Contributors:
    Rohrbach, M. (author) / Rohrbach, A. (author) / Regneri, M. (author) / Amin, S. (author) / Andriluka, M. (author) / Pinkal, M. (author) / Schiele, B. (author)

    Published in:

    Publication date :

    2016-01-01


    Size :

    28 pages



    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English


    Classification :

    DDC:    006.37



    WTS: A Pedestrian-Centric Traffic Video Dataset for Fine-grained Spatial-Temporal Understanding

    Kong, Quan / Kawana, Yuki / Saini, Rajat et al. | ArXiv | 2024

    Free access

    Recognizing Materials Using Perceptually Inspired Features

    Sharan, L. / Liu, C. / Rosenholtz, R. et al. | British Library Online Contents | 2013


    Transport Mode Detection when Fine-grained and Coarse-grained Data Meet

    Asgari, Fereshteh / Clemencon, Stephan | IEEE | 2018


    Fine-Grained Re-Identification

    Pathak, Priyank | ArXiv | 2020

    Free access

    Tracking people and recognizing their activities

    Deva Ramanan, / Forsyth, D. / Zisserman, A. | IEEE | 2005

    Free access