Early Fusion

Early Fusion is a data fusion strategy in sensor and multimodal processing that integrates raw measurements or low-level features from multiple sensors into a single joint representation at the input or early feature-extraction stage, prior to subsequent higher-level inference or decision-making.

129

Publications

10.1K

Citations

534

Authors

206

Institutions

Publications per year

2017–2026

93

Authors

534

  1. NS
    Nicu Sebe

    University of Trento, Italy

    3 publications · 659 citations

    3

    h-index

  2. MQ
    Manyi Qian

    Beijing Jiaotong University, China

    2 publications · 104 citations

    2

    h-index

  3. YY
    Yan Yan

    University of Trento, Italy

    2 publications · 605 citations

    2

    h-index

  4. ER
    Elisa Ricci

    Fondazione Bruno Kessler, Italy

    2 publications · 605 citations

    2

    h-index

  5. AM
    A. Murat Tekalp

    University of Rochester, United States

    2 publications · 212 citations

    2

    h-index

1–5 of 534

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 138 citations

    6

    h-index

  2. Sensors

    6 publications · 601 citations

    6

    h-index

  3. IEEE Access

    5 publications · 267 citations

    5

    h-index

  4. IEEE Transactions on Multimedia

    3 publications · 365 citations

    3

    h-index

  5. Remote Sensing

    3 publications · 156 citations

    3

    h-index

1–5