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2020 – today
- 2023
[j1]Solène Tarride
, Martin Maarand, Mélodie Boillet, James McGrath, Eugénie Capel, Hélène Vézina, Christopher Kermorvant:
Large-scale genealogical information extraction from handwritten Quebec parish records. Int. J. Document Anal. Recognit. 26(3): 255-272 (2023)- [i3]Solène Tarride, Martin Maarand, Mélodie Boillet, James McGrath, Eugénie Capel, Hélène Vézina, Christopher Kermorvant:
Large Scale Genealogical Information Extraction From Handwritten Quebec Parish Records. CoRR abs/2304.14044 (2023) - 2022
- [c5]Martin Maarand, Yngvil Beyer, Andre Kåsen, Knut T. Fosseide, Christopher Kermorvant:
A Comprehensive Comparison of Open-Source Libraries for Handwritten Text Recognition in Norwegian. DAS 2022: 399-413 - [c4]Silvia Cascianelli, Vittorio Pippi, Martin Maarand, Marcella Cornia, Lorenzo Baraldi, Christopher Kermorvant, Rita Cucchiara:
The LAM Dataset: A Novel Benchmark for Line-Level Handwritten Text Recognition. ICPR 2022: 1506-1513 - [i2]Silvia Cascianelli, Vittorio Pippi, Martin Maarand, Marcella Cornia, Lorenzo Baraldi, Christopher Kermorvant, Rita Cucchiara:
The LAM Dataset: A Novel Benchmark for Line-Level Handwritten Text Recognition. CoRR abs/2208.07682 (2022) - 2021
- [c3]Mélodie Boillet, Martin Maarand, Thierry Paquet, Christopher Kermorvant:
Including Keyword Position in Image-based Models for Act Segmentation of Historical Registers. HIP@ICDAR 2021: 31-36 - [i1]Mélodie Boillet, Martin Maarand, Thierry Paquet, Christopher Kermorvant:
Including Keyword Position in Image-based Models for Act Segmentation of Historical Registers. CoRR abs/2109.08477 (2021) - 2020
- [c2]Emanuela Boros, Verónica Romero, Martin Maarand, Katerina Zenklová, Jitka Krecková, Enrique Vidal, Dominique Stutzmann, Christopher Kermorvant:
A comparison of sequential and combined approaches for named entity recognition in a corpus of handwritten medieval charters. ICFHR 2020: 79-84 - [c1]Amir Hazem, Béatrice Daille, Christopher Kermorvant, Dominique Stutzmann, Marie-Laurence Bonhomme, Martin Maarand, Mélodie Boillet:
Books of Hours. the First Liturgical Data Set for Text Segmentation. LREC 2020: 776-784
Coauthor Index
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