Crowd Representation

Crowd Representation is a computational modeling approach that distinguishes itself within the category of group portrait analysis by formally encoding the collective visual, spatial, and semantic patterns of aggregated individuals in unconstrained environments to enable higher-level inference about group dynamics, structure, and behavior.

265

Publications

15.6K

Citations

752

Authors

300

Institutions

Publications per year

2017–2026

106

Authors

752

  1. CO
    Carol O’Sullivan

    Trinity College Dublin, Ireland

    13 publications · 577 citations

    13

    h-index

  2. SD
    Simon Dobbyn

    Trinity College Dublin, Ireland

    8 publications · 434 citations

    8

    h-index

  3. XW
    Xiaogang Wang

    European Organization for Nuclear Research, Switzerland

    6 publications · 618 citations

    6

    h-index

  4. CP
    Christopher Peters

    KTH Royal Institute of Technology, Sweden

    5 publications · 154 citations

    5

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  5. NP
    Nuria Pelechano

    Universitat Politècnica de Catalunya, Spain

    5 publications · 251 citations

    5

    h-index

1–5 of 752

Venues

  1. arXiv (Cornell University)

    Repository · 7 publications · 191 citations

    7

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  2. 7

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  3. Neurocomputing

    7 publications · 267 citations

    7

    h-index

  4. ACM Transactions on Graphics

    TOG · 6 publications · 617 citations

    6

    h-index

  5. Computer Graphics Forum

    4 publications · 188 citations

    4

    h-index

1–5