Audio-visual Representation

Audio-Visual Representation is a computational framework that integrates and synchronizes auditory and visual sensory data to construct immersive, coherent virtual environments by modeling the spatial and temporal relationships between sound and image modalities.

426

Publications

24.6K

Citations

1.3K

Authors

462

Institutions

Publications per year

2017–2026

156

Authors

1.3K

  1. KG
    Kristen Grauman

    The University of Texas at Austin, United States

    10 publications · 436 citations

    10

    h-index

  2. CC
    Changan Chen

    China Academy of Engineering Physics, China

    8 publications · 253 citations

    8

    h-index

  3. HZ
    Hang Zhou

    Chinese University of Hong Kong, Hong Kong SAR China

    6 publications · 713 citations

    6

    h-index

  4. SC
    Shih‐Fu Chang

    Columbia University, United States

    6 publications · 374 citations

    6

    h-index

  5. AP
    Alex Pentland

    Massachusetts Institute of Technology, United States

    5 publications · 222 citations

    5

    h-index

1–5 of 1.3K

Venues

  1. arXiv (Cornell University)

    Repository · 23 publications · 840 citations

    17

    h-index

  2. IEEE Transactions on Multimedia

    14 publications · 1.3K citations

    14

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 10 publications · 760 citations

    10

    h-index

  4. Experimental Brain Research

    8 publications · 813 citations

    8

    h-index

  5. 5

    h-index

1–5