Cross-modal Localization

Cross-Modal Localization is a computational framework that integrates auditory and visual sensory cues to determine the spatial origin of a sound source by leveraging intermodal correspondences in a unified representational space.

119

Publications

8.7K

Citations

404

Authors

187

Institutions

Publications per year

2017–2026

59

Authors

404

  1. CS
    Charles Spence

    University of Oxford, United Kingdom

    5 publications · 974 citations

    5

    h-index

  2. BR
    Brigitte Röder

    Universität Hamburg, Germany

    4 publications · 118 citations

    4

    h-index

  3. YY
    Yoav Y. Schechner

    Technion – Israel Institute of Technology, Israel

    4 publications · 345 citations

    4

    h-index

  4. PB
    Patrick Bruns

    Universität Hamburg, Germany

    4 publications · 118 citations

    4

    h-index

  5. CG
    Chuang Gan

    IBM (United States), United States

    3 publications · 277 citations

    3

    h-index

1–5 of 404

Venues

  1. arXiv (Cornell University)

    Repository · 9 publications · 237 citations

    9

    h-index

  2. Perception & Psychophysics

    4 publications · 659 citations

    4

    h-index

  3. Attention Perception & Psychophysics

    4 publications · 103 citations

    4

    h-index

  4. Brain Research

    3 publications · 139 citations

    3

    h-index

  5. IEEE Transactions on Multimedia

    3 publications · 84 citations

    3

    h-index

1–5