Cross-modal Consistency Analysis

Cross-Modal Consistency Analysis is a forensic method that verifies the authenticity of multimedia content by evaluating the inherent plausibility and alignment of semantic or physical properties across different modalities, such as audio-visual, temporal-spatial, or image-text correspondences, to detect anomalies indicative of manipulation.

9

Publications

388

Citations

40

Authors

17

Institutions

Publications per year

2017–2026

5

Authors

40

  1. ZT
    Zhengzheng Tu

    Anhui University, China

    1 publications · 77 citations

    1

    h-index

  2. YY
    Yizhou Yu

    University of Hong Kong, Hong Kong SAR China

    1 publications · 34 citations

    1

    h-index

  3. AS
    Abhinav Shrivastava

    University of Maryland, College Park, United States

    1 publications · 20 citations

    1

    h-index

  4. MT
    Martha Teghtsoonian

    Smith College, United States

    1 publications · 63 citations

    1

    h-index

  5. FL
    Fuxiao Liu

    China Animal Health and Epidemiology Center, China

    1 publications · 20 citations

    1

    h-index

1–5 of 40

Venues

  1. NeuroImage

    1 publications · 69 citations

    1

    h-index

  2. Neuropsychologia

    1 publications · 31 citations

    1

    h-index

  3. Medical Image Analysis

    1 publications · 34 citations

    1

    h-index

  4. Journal of Research in Personality

    1 publications · 31 citations

    1

    h-index

  5. 1

    h-index

1–5