Multimodal Detection Fusion

Multimodal Detection Fusion is a late fusion strategy that integrates detection outputs from multiple sensory modalities to produce a unified interpretation, distinguished by its reliance on modality-specific detectors combined only after individual decision-making processes.

36

Publications

2.6K

Citations

162

Authors

55

Institutions

Publications per year

2017–2026

26

Authors

162

  1. XF
    Xin Fan

    Dalian University of Technology, China

    2 publications · 1K citations

    2

    h-index

  2. MP
    Maja Pantić

    Imperial College London, United Kingdom

    2 publications · 51 citations

    2

    h-index

  3. GW
    Guanyao Wu

    Dalian University of Technology, China

    2 publications · 1K citations

    2

    h-index

  4. JL
    Jinyuan Liu

    Dalian University of Technology, China

    2 publications · 1K citations

    2

    h-index

  5. DV
    David Vázquez

    Universitat Autònoma de Barcelona, Spain

    2 publications · 206 citations

    2

    h-index

1–5 of 162

Venues

  1. IEEE Sensors Journal

    2 publications · 78 citations

    2

    h-index

  2. Infrared Physics & Technology

    1 publications · 54 citations

    1

    h-index

  3. 1

    h-index

  4. Optical Engineering

    1 publications · 24 citations

    1

    h-index

  5. 2022 International Conference on Robotics and Automation (ICRA)

    Conference · 1 publications · 63 citations

    1

    h-index

1–5