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Dominique Stutzmann
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2020 – today
- 2024
- [c24]Malamatenia Vlachou-Efstathiou
, Ioannis Siglidis
An Interpretable Deep Learning Approach for Morphological Script Type Analysis. ICDAR (Workshops 2) 2024: 3-21 - [i5]Malamatenia Vlachou-Efstathiou, Ioannis Siglidis, Dominique Stutzmann, Mathieu Aubry:
An Interpretable Deep Learning Approach for Morphological Script Type Analysis. CoRR abs/2408.11150 (2024) - 2023
- [c23]Sébastien Barré, Marlene Helias-Baron, Dominique Stutzmann, Niklas Tscherne, Georg Vogeler, Jacqueline Schindler:
How to detect institutional and regional feature clusters in late medieval charters? Collaboration between more and less digital humanists in the project BeCoRe. DH 2023 - [d6]Mathias Seuret
ICDAR 2021 Historical Document Classification Test Dataset for Task 3 - Location. Zenodo, 2023 - 2021
- [c22]Mathias Seuret
ICDAR 2021 Competition on Historical Document Classification. ICDAR (4) 2021: 618-634 - [d5]Mathias Seuret
ICDAR 2021 Historical Document Classification Test Dataset for Task 1 - Font Groups. Zenodo, 2021 - [d4]Mathias Seuret
ICDAR 2021 Historical Document Classification Test Dataset for Task 1 - Scripts. Zenodo, 2021 - [d3]Mathias Seuret
ICDAR 2021 Historical Document Classification Dataset for Task 2 - Dating. Zenodo, 2021 - [d2]Mathias Seuret
ICDAR 2021 Historical Document Classification Dataset for Task 3 - Location. Zenodo, 2021 - 2020
- [c21]Amir Hazem, Béatrice Daille, Dominique Stutzmann, Christopher Kermorvant, Louis Chevalier:
Hierarchical Text Segmentation for Medieval Manuscripts. COLING 2020: 6240-6251 - [c20]Emanuela Boros
A comparison of sequential and combined approaches for named entity recognition in a corpus of handwritten medieval charters. ICFHR 2020: 79-84 - [c19]Mathias Seuret, Anguelos Nicolaou, Andreas Maier, Vincent Christlein, Dominique Stutzmann:
ICFHR 2020 Competition on Image Retrieval for Historical Handwritten Fragments. ICFHR 2020: 216-221 - [c18]José Ramón Prieto
Text Content Based Layout Analysis. ICFHR 2020: 258-263 - [c17]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 - [i4]Mathias Seuret, Anguelos Nicolaou, Dominique Stutzmann
ICFHR 2020 Competition on Image Retrieval for Historical Handwritten Fragments. CoRR abs/2010.10197 (2020) - [i3]Mélodie Boillet, Marie-Laurence Bonhomme, Dominique Stutzmann, Christopher Kermorvant:
HORAE: an annotated dataset of books of hours. CoRR abs/2012.00351 (2020)
2010 – 2019
- 2019
- [c16]Amir Hazem, Béatrice Daille, Dominique Stutzmann
Towards Automatic Variant Analysis of Ancient Devotional Texts. LChange@ACL 2019: 240-249 - [c15]Mélodie Boillet
HORAE: an annotated dataset of books of hours. HIP@ICDAR 2019: 7-12 - [c14]Emanuela Boros
Automatic Page Classification in a Large Collection of Manuscripts Based on the International Image Interoperability Framework. ICDAR 2019: 756-762 - [c13]Vincent Christlein, Anguelos Nicolaou, Mathias Seuret, Dominique Stutzmann
ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents. ICDAR 2019: 1505-1509 - [c12]Amir Hazem, Béatrice Daille, Dominique Stutzmann, Jacob Currie, Christine Jacquin:
Réutilisation de Textes dans les Manuscrits Anciens (Text Reuse in Ancient Manuscripts). PFIA (Articles courts) 2019: 417-426 - [d1]Vincent Christlein
ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents [HisIR19] Dataset. Zenodo, 2019 - [i2]Vincent Christlein, Anguelos Nicolaou, Mathias Seuret, Dominique Stutzmann
ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents. CoRR abs/1912.03713 (2019) - 2018
- [c11]Sukalpa Chanda, Emmanuel Okafor
Deep Learning for Classification and as Tapped-Feature Generator in Medieval Word-Image Recognition. DAS 2018: 217-222 - [c10]Dominique Stutzmann, Christopher Kermorvant, Enrique Vidal, Sukalpa Chanda, Sébastien Hamel, Joan Puigcerver, Lambert Schomaker, Alejandro H. Toselli:
Handwritten Text Recognition, Keyword Indexing, and Plain Text Search in Medieval Manuscripts. DH 2018: 298-301 - [c9]Sukalpa Chanda, Jochem Baas, Daniel Haitink, Sébastien Hamel, Dominique Stutzmann, Lambert Schomaker
Zero-Shot Learning Based Approach For Medieval Word Recognition using Deep-Learned Features. ICFHR 2018: 345-350 - 2017
- [c8]Mike Kestemont, Dominique Stutzmann:
Script Identification in Medieval Latin Manuscripts Using Convolutional Neural Networks. DH 2017 - [c7]Théodore Bluche, Sébastien Hamel, Christopher Kermorvant
Preparatory KWS Experiments for Large-Scale Indexing of a Vast Medieval Manuscript Collection in the HIMANIS Project. ICDAR 2017: 311-316 - [c6]Van Cuong Kieu, Dominique Stutzmann
Vacuity Measure for Handwritten Character Analysis. ICDAR 2017: 561-566 - [c5]Florence Cloppet, Véronique Eglin, Marlene Helias-Baron, Van Cuong Kieu, Nicole Vincent, Dominique Stutzmann:
ICDAR2017 Competition on the Classification of Medieval Handwritings in Latin Script. ICDAR 2017: 1371-1376 - 2016
- [c4]Yann Leydier, Véronique Eglin, Stéphane Bres, Dominique Stutzmann:
Alignement texte-image sans apprentissage pour les manuscrits médiévaux. CORIA-CIFED 2016: 481-496 - [c3]Théodore Bluche, Dominique Stutzmann
Automatic Handwritten Character Segmentation for Paleographical Character Shape Analysis. DAS 2016: 42-47 - [c2]Florence Cloppet, Véronique Eglin, Van Cuong Kieu, Dominique Stutzmann, Nicole Vincent:
ICFHR2016 Competition on the Classification of Medieval Handwritings in Latin Script. ICFHR 2016: 590-595 - 2014
- [c1]Yann Leydier, Véronique Eglin, Stéphane Bres, Dominique Stutzmann
Learning-Free Text-Image Alignment for Medieval Manuscripts. ICFHR 2014: 363-368 - [i1]Tal Hassner, Robert Sablatnig, Dominique Stutzmann
Digital Palaeography: New Machines and Old Texts (Dagstuhl Seminar 14302). Dagstuhl Reports 4(7): 112-134 (2014) - 2013
- [j1]Dominique Stutzmann
Ontologie des formes et encodage des textes manuscrits médiévaux. Le projet ORIFLAMMS. Document Numérique 16(3): 81-95 (2013)
Coauthor Index
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last updated on 2024-10-04 20:00 CEST by the dblp team
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