Table Structure Recognition

Table Structure Recognition is a document image analysis task that identifies and extracts the spatial and logical organization of rows, columns, and cells within a tabular region to reconstruct its hierarchical grid structure.

148

Publications

7.4K

Citations

459

Authors

151

Institutions

Publications per year

2017–2026

71

Authors

459

  1. AD
    Andreas Dengel

    German Research Centre for Artificial Intelligence, Germany

    10 publications · 809 citations

    10

    h-index

  2. WL
    Wolfgang Lehner

    Technische Universität Dresden, Germany

    6 publications · 210 citations

    6

    h-index

  3. LG
    Liangcai Gao

    Peking University, China

    6 publications · 462 citations

    6

    h-index

  4. MT
    Maik Thiele

    Technische Universität Dresden, Germany

    6 publications · 210 citations

    6

    h-index

  5. ZT
    Zhi Tang

    Peking University, China

    5 publications · 311 citations

    5

    h-index

1–5 of 459

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 318 citations

    10

    h-index

  2. Pattern Recognition

    6 publications · 239 citations

    6

    h-index

  3. 5

    h-index

  4. 4

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 205 citations

    4

    h-index

1–5