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
Parents
148
Table extraction using conditional random fields
David Pinto, Andrew McCallum, Xing Wei et al. · 2003 · 355 citations
Max Göbel, Tamir Hassan, Ermelinda Oro et al. · 2013 · 231 citations
ICDAR 2019 Competition on Table Detection and Recognition (cTDaR)
Liangcai Gao, Yilun Huang, Hervé Déjean et al. · 2019 · 166 citations
1–5 of 148
459
German Research Centre for Artificial Intelligence, Germany
10 publications · 809 citations
10
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6
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6
h-index
6
h-index
5
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1–5 of 459
151
German Research Centre for Artificial Intelligence
Kaiserslautern, Germany
11 h-index
36 publications
3.1K citations

Peking University
Beijing, China
7 h-index
22 publications
1.5K citations
University of Kaiserslautern
Kaiserslautern, Germany
7 h-index
20 publications
1.1K citations
Technische Universität Dresden
Dresden, Germany
6 h-index
22 publications
842 citations

TU Wien
Vienna, Austria
6 h-index
9 publications
811 citations
Microsoft Research Asia (China)
Beijing, China
6 h-index
21 publications
905 citations
University of Chinese Academy of Sciences
Beijing, China
5 h-index
12 publications
237 citations
Brigham Young University
Provo, United States
4 h-index
6 publications
319 citations
1–8 of 151
Repository · 10 publications · 318 citations
10
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6 publications · 239 citations
6
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5 publications · 548 citations
5
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4 publications · 212 citations
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Conference · 4 publications · 205 citations
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