Visual Object Localization

Visual Object Localization is a computational method in computer vision that identifies the precise spatial coordinates of objects within an image, distinguished from broader object recognition techniques by its focus on determining both the presence and exact position of objects rather than mere classification.

461

Publications

43.9K

Citations

1.4K

Authors

495

Institutions

Publications per year

2017–2026

191

Authors

1.4K

  1. AT
    Antonio Torralba

    Massachusetts Institute of Technology, United States

    8 publications · 12.8K citations

    8

    h-index

  2. ML
    Markus Lappe

    University of Münster, Germany

    6 publications · 311 citations

    6

    h-index

  3. JC
    Junsuk Choe

    Naver (South Korea), South Korea

    5 publications · 471 citations

    5

    h-index

  4. HS
    Hyunjung Shim

    Yonsei University, South Korea

    5 publications · 471 citations

    5

    h-index

  5. JY
    Junsong Yuan

    Nanyang Technological University, Singapore

    5 publications · 178 citations

    5

    h-index

1–5 of 1.4K

Venues

  1. arXiv (Cornell University)

    Repository · 37 publications · 2.4K citations

    21

    h-index

  2. Pattern Recognition

    11 publications · 524 citations

    11

    h-index

  3. 11

    h-index

  4. IEEE Transactions on Image Processing

    9 publications · 1.2K citations

    9

    h-index

  5. Image and Vision Computing

    6 publications · 356 citations

    6

    h-index

1–5