Multi-object Recognition

Multi-Object Recognition is a computational framework within object recognition that specifically enables the simultaneous identification and localization of multiple distinct objects within a single visual scene.

142

Publications

9K

Citations

445

Authors

195

Institutions

Publications per year

2017–2026

69

Authors

445

  1. AJ
    Ahmad Jalal

    Air University, Pakistan

    5 publications · 293 citations

    5

    h-index

  2. KK
    Kibum Kim

    Hanyang University, South Korea

    4 publications · 263 citations

    4

    h-index

  3. QH
    Qingming Huang

    University of Chinese Academy of Sciences, China

    3 publications · 140 citations

    3

    h-index

  4. NE
    Najoua Essoukri Ben Amara

    University of Sousse, Tunisia

    3 publications · 153 citations

    3

    h-index

  5. AA
    Adnan Ahmed Rafique

    Air University, Pakistan

    3 publications · 170 citations

    3

    h-index

1–5 of 445

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 870 citations

    6

    h-index

  2. 5

    h-index

  3. Optical Engineering

    3 publications · 54 citations

    3

    h-index

  4. Computer Vision and Image Understanding

    CVIU · 3 publications · 236 citations

    3

    h-index

  5. Multimedia Tools and Applications

    2 publications · 82 citations

    2

    h-index

1–5