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2020 – today
- 2024
[c64]Léa Périssier, Viera Rebolledo-Dhuin
, Marie-Thérèse Petiot, Yoann Schneider, Christopher Kermorvant:
PRET19: Automatic Recognition and Indexing of Handwritten Loan Registers from 19th Century Parisian Universities. TPDL (1) 2024: 360-378- [c63]Natalia Bottaioli, Solène Tarride, Jérémy Anger, Seginus Mowlavi, Marina Gardella, Antoine Tadros, Gabriele Facciolo, Rafael Grompone von Gioi, Christopher Kermorvant, Jean-Michel Morel, Javier Preciozzi:
Normalized vs Diplomatic Annotation: A Case Study of Automatic Information Extraction from Handwritten Uruguayan Birth Certificates. ICDAR (Workshops 1) 2024: 40-54 - [c62]Mélodie Boillet, Solène Tarride, Yoann Schneider, Bastien Abadie, Lionel Kesztenbaum, Christopher Kermorvant:
The Socface Project: Large-Scale Collection, Processing, and Analysis of a Century of French Censuses. ICDAR (3) 2024: 57-73 - [c61]Solène Tarride, Christopher Kermorvant:
Revisiting N-Gram Models: Their Impact in Modern Neural Networks for Handwritten Text Recognition. ICDAR (6) 2024: 167-182 - [c60]David Villanova-Aparisi, Solène Tarride, Carlos D. Martínez-Hinarejos, Verónica Romero, Christopher Kermorvant, Moisés Pastor-i-Gadea:
Reading Order Independent Metrics for Information Extraction in Handwritten Documents. ICDAR (2) 2024: 191-215 - [c59]Christopher Kermorvant, Eva Bardou, Manon Blanco, Bastien Abadie:
Callico: A Versatile Open-Source Document Image Annotation Platform. ICDAR (3) 2024: 338-353 - [c58]Solène Tarride, Yoann Schneider, Marie Generali-Lince, Mélodie Boillet, Bastien Abadie, Christopher Kermorvant:
Improving Automatic Text Recognition with Language Models in the PyLaia Open-Source Library. ICDAR (5) 2024: 387-404 - [i20]David Villanova-Aparisi, Solène Tarride, Carlos D. Martínez-Hinarejos, Verónica Romero, Christopher Kermorvant, Moisés Pastor-i-Gadea:
Reading Order Independent Metrics for Information Extraction in Handwritten Documents. CoRR abs/2404.18664 (2024) - [i19]Mélodie Boillet, Solène Tarride, Yoann Schneider, Bastien Abadie, Lionel Kesztenbaum, Christopher Kermorvant:
The Socface Project: Large-Scale Collection, Processing, and Analysis of a Century of French Censuses. CoRR abs/2404.18706 (2024) - [i18]Solène Tarride, Yoann Schneider, Marie Generali-Lince, Mélodie Boillet, Bastien Abadie, Christopher Kermorvant:
Improving Automatic Text Recognition with Language Models in the PyLaia Open-Source Library. CoRR abs/2404.18722 (2024) - [i17]Solène Tarride, Christopher Kermorvant:
Revisiting N-Gram Models: Their Impact in Modern Neural Networks for Handwritten Text Recognition. CoRR abs/2404.19317 (2024) - [i16]Christopher Kermorvant, Eva Bardou, Manon Blanco, Bastien Abadie:
Callico: a Versatile Open-Source Document Image Annotation Platform. CoRR abs/2405.01071 (2024) - 2023
- [j7]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) - [j6]Mélodie Boillet, Christopher Kermorvant, Thierry Paquet:
Confidence Estimation for Object Detection in Document Images. Pattern Recognit. Lett. 166: 31-37 (2023) - [c57]Guillaume Bernard, Casey Wall, Mélodie Boillet, Mickaël Coustaty, Christopher Kermorvant, Antoine Doucet:
Text Line Detection in Historical Index Tables: Evaluations on a New French PArish REcord Survey Dataset (PARES). ICADL (1) 2023: 59-75 - [c56]Solène Tarride, Tristan Faine, Mélodie Boillet, Harold Mouchère, Christopher Kermorvant:
Handwritten Text Recognition from Crowdsourced Annotations. HIP@ICDAR 2023: 1-6 - [c55]Solène Tarride, Mélodie Boillet, Christopher Kermorvant:
Key-Value Information Extraction from Full Handwritten Pages. ICDAR (2) 2023: 185-204 - [c54]Vittorio Pippi, Silvia Cascianelli, Christopher Kermorvant, Rita Cucchiara:
How to Choose Pretrained Handwriting Recognition Models for Single Writer Fine-Tuning. ICDAR (2) 2023: 330-347 - [c53]Solène Tarride, Mélodie Boillet, Jean-François Moufflet, Christopher Kermorvant:
SIMARA: A Database for Key-Value Information Extraction from Full-Page Handwritten Documents. ICDAR (3) 2023: 421-437 - [i15]Solène Tarride, Mélodie Boillet, Christopher Kermorvant:
Key-value information extraction from full handwritten pages. CoRR abs/2304.13530 (2023) - [i14]Solène Tarride, Mélodie Boillet, Jean-François Moufflet, Christopher Kermorvant:
SIMARA: a database for key-value information extraction from full pages. CoRR abs/2304.13606 (2023) - [i13]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) - [i12]Vittorio Pippi, Silvia Cascianelli, Christopher Kermorvant, Rita Cucchiara:
How to Choose Pretrained Handwriting Recognition Models for Single Writer Fine-Tuning. CoRR abs/2305.02593 (2023) - [i11]Solène Tarride, Tristan Faine, Mélodie Boillet, Harold Mouchère, Christopher Kermorvant:
Handwritten Text Recognition from Crowdsourced Annotations. CoRR abs/2306.10878 (2023) - 2022
- [j5]Mélodie Boillet, Christopher Kermorvant, Thierry Paquet:
Robust text line detection in historical documents: learning and evaluation methods. Int. J. Document Anal. Recognit. 25(2): 95-114 (2022) - [c52]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 - [c51]Claire Bizon Monroc, Blanche Miret, Marie-Laurence Bonhomme, Christopher Kermorvant:
A Comprehensive Study of Open-Source Libraries for Named Entity Recognition on Handwritten Historical Documents. DAS 2022: 429-444 - [c50]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 - [i10]Mélodie Boillet, Christopher Kermorvant, Thierry Paquet:
Robust Text Line Detection in Historical Documents: Learning and Evaluation Methods. CoRR abs/2203.12346 (2022) - [i9]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) - [i8]Mélodie Boillet, Christopher Kermorvant, Thierry Paquet:
Confidence Estimation for Object Detection in Document Images. CoRR abs/2208.13391 (2022) - 2021
- [c49]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 - [c48]Jean-Louis Debezia, Mélodie Boillet, Christopher Kermorvant, Quentin Barral:
Drilling a Large Corpus of Document Images of Geological Information Extraction. PKDD/ECML Workshops (2) 2021: 525-530 - [i7]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
- [c47]Amir Hazem, Béatrice Daille, Dominique Stutzmann, Christopher Kermorvant, Louis Chevalier:
Hierarchical Text Segmentation for Medieval Manuscripts. COLING 2020: 6240-6251 - [c46]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 - [c45]Mélodie Boillet, Christopher Kermorvant, Thierry Paquet:
Multiple Document Datasets Pre-training Improves Text Line Detection With Deep Neural Networks. ICPR 2020: 2134-2141 - [c44]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 - [i6]Mélodie Boillet, Marie-Laurence Bonhomme, Dominique Stutzmann, Christopher Kermorvant:
HORAE: an annotated dataset of books of hours. CoRR abs/2012.00351 (2020) - [i5]Mélodie Boillet, Christopher Kermorvant, Thierry Paquet:
Multiple Document Datasets Pre-training Improves Text Line Detection With Deep Neural Networks. CoRR abs/2012.14163 (2020)
2010 – 2019
- 2019
- [c43]Mélodie Boillet, Marie-Laurence Bonhomme, Dominique Stutzmann, Christopher Kermorvant:
HORAE: an annotated dataset of books of hours. HIP@ICDAR 2019: 7-12 - [c42]Emanuela Boros, Alexis Toumi, Erwan Rouchet, Bastien Abadie, Dominique Stutzmann, Christopher Kermorvant:
Automatic Page Classification in a Large Collection of Manuscripts Based on the International Image Interoperability Framework. ICDAR 2019: 756-762 - 2018
- [j4]Bastien Moysset, Christopher Kermorvant, Christian Wolf:
Learning to detect, localize and recognize many text objects in document images from few examples. Int. J. Document Anal. Recognit. 21(3): 161-175 (2018) - [j3]Guillaume Renton, Yann Soullard, Clément Chatelain, Sébastien Adam, Christopher Kermorvant, Thierry Paquet:
Fully convolutional network with dilated convolutions for handwritten text line segmentation. Int. J. Document Anal. Recognit. 21(3): 177-186 (2018) - [c41]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 - [c40]Christopher Kermorvant:
Reconnaissance et indexation automatique des registres de la chancellerie française (1300-1483). EGC 2018: 9-10 - 2017
- [c39]Guillaume Renton, Clément Chatelain, Sébastien Adam, Christopher Kermorvant, Thierry Paquet:
Handwritten Text Line Segmentation Using Fully Convolutional Network. WML@ICDAR 2017: 5-9 - [c38]Théodore Bluche, Christopher Kermorvant, Claude F. Touzet, Hervé Glotin:
Cortical-Inspired Open-Bigram Representation for Handwritten Word Recognition. ICDAR 2017: 73-78 - [c37]Théodore Bluche, Sébastien Hamel, Christopher Kermorvant, Joan Puigcerver, Dominique Stutzmann, Alejandro H. Toselli, Enrique Vidal:
Preparatory KWS Experiments for Large-Scale Indexing of a Vast Medieval Manuscript Collection in the HIMANIS Project. ICDAR 2017: 311-316 - [c36]Bastien Moysset, Christopher Kermorvant, Christian Wolf:
Full-Page Text Recognition: Learning Where to Start and When to Stop. ICDAR 2017: 871-876 - [i4]Bastien Moysset, Christopher Kermorvant, Christian Wolf:
Full-Page Text Recognition: Learning Where to Start and When to Stop. CoRR abs/1704.08628 (2017) - 2016
- [c35]Théodore Bluche, Christopher Kermorvant, Hermann Ney, Jérôme Louradour:
La CTC et son intrigant label « blank » : étude comparative de méthodes d'entraînement de réseaux de neurones pour la reconnaissance d'écriture. CORIA-CIFED 2016: 39-54 - [c34]Théodore Bluche, Dominique Stutzmann, Christopher Kermorvant:
Automatic Handwritten Character Segmentation for Paleographical Character Shape Analysis. DAS 2016: 42-47 - [c33]Bastien Moysset, Jérôme Louradour, Christopher Kermorvant, Christian Wolf:
Learning Text-Line Localization with Shared and Local Regression Neural Networks. ICFHR 2016: 1-6 - [i3]Bastien Moysset, Christopher Kermorvant, Christian Wolf:
Learning to detect and localize many objects from few examples. CoRR abs/1611.05664 (2016) - 2015
- [c32]Théodore Bluche, Hermann Ney, Jérôme Louradour, Christopher Kermorvant:
Framewise and CTC training of Neural Networks for handwriting recognition. ICDAR 2015: 81-85 - [c31]Théodore Bluche, Hermann Ney, Christopher Kermorvant:
The LIMSI handwriting recognition system for the HTRtS 2014 contest. ICDAR 2015: 86-90 - [c30]Bastien Moysset, Christopher Kermorvant, Christian Wolf, Jérôme Louradour:
Paragraph text segmentation into lines with Recurrent Neural Networks. ICDAR 2015: 456-460 - [c29]Mohamed Faouzi BenZeghiba, Jérôme Louradour, Christopher Kermorvant:
Hybrid word/Part-of-Arabic-Word Language Models for arabic text document recognition. ICDAR 2015: 671-675 - [c28]Théodore Bluche, Christopher Kermorvant, Jérôme Louradour:
Where to apply dropout in recurrent neural networks for handwriting recognition? ICDAR 2015: 681-685 - 2014
- [c27]Jérôme Louradour, Christopher Kermorvant:
Curriculum Learning for Handwritten Text Line Recognition. Document Analysis Systems 2014: 56-60 - [c26]Théodore Bluche, Jérôme Louradour, Maxime Knibbe, Bastien Moysset, Mohamed Faouzi BenZeghiba, Christopher Kermorvant:
The A2iA Arabic Handwritten Text Recognition System at the Open HaRT2013 Evaluation. Document Analysis Systems 2014: 161-165 - [c25]Ronaldo O. Messina, Christopher Kermorvant:
Over-Generative Finite State Transducer N-Gram for Out-of-Vocabulary Word Recognition. Document Analysis Systems 2014: 212-216 - [c24]Bastien Moysset, Ronaldo O. Messina, Christopher Kermorvant:
A Comparison of Recognition Strategies for Printed/Handwritten Composite Documents. ICFHR 2014: 158-163 - [c23]Vu Pham, Théodore Bluche, Christopher Kermorvant, Jérôme Louradour:
Dropout Improves Recurrent Neural Networks for Handwriting Recognition. ICFHR 2014: 285-290 - [c22]Bastien Moysset, Théodore Bluche, Maxime Knibbe, Mohamed Faouzi BenZeghiba, Ronaldo O. Messina, Jérôme Louradour, Christopher Kermorvant:
The A2iA Multi-lingual Text Recognition System at the Second Maurdor Evaluation. ICFHR 2014: 297-302 - [c21]Théodore Bluche, Bastien Moysset, Christopher Kermorvant:
Automatic Line Segmentation and Ground-Truth Alignment of Handwritten Documents. ICFHR 2014: 667-672 - [c20]Théodore Bluche, Hermann Ney, Christopher Kermorvant:
A Comparison of Sequence-Trained Deep Neural Networks and Recurrent Neural Networks Optical Modeling for Handwriting Recognition. SLSP 2014: 199-210 - [c19]Claude F. Touzet, Christopher Kermorvant, Hervé Glotin:
A Biologically Plausible SOM Representation of the Orthographic Form of 50, 000 French Words. WSOM 2014: 303-312 - 2013
- [c18]Théodore Bluche, Hermann Ney, Christopher Kermorvant:
Tandem HMM with convolutional neural network for handwritten word recognition. ICASSP 2013: 2390-2394 - [c17]Bastien Moysset, Christopher Kermorvant:
On the Evaluation of Handwritten Text Line Detection Algorithms. ICDAR 2013: 185-189 - [c16]Théodore Bluche, Hermann Ney, Christopher Kermorvant:
Feature Extraction with Convolutional Neural Networks for Handwritten Word Recognition. ICDAR 2013: 285-289 - [c15]Thibauld Nion, Farès Menasri, Jérôme Louradour, Cédric Sibade, Thomas Retornaz, Pierre-Yves Metaireau, Christopher Kermorvant:
Handwritten Information Extraction from Historical Census Documents. ICDAR 2013: 822-826 - [i2]Jérôme Louradour, Christopher Kermorvant:
Curriculum Learning for Handwritten Text Line Recognition. CoRR abs/1312.1737 (2013) - [i1]Vu Pham, Christopher Kermorvant, Jérôme Louradour:
Dropout improves Recurrent Neural Networks for Handwriting Recognition. CoRR abs/1312.4569 (2013) - 2012
- [c14]Farès Menasri, Jérôme Louradour, Anne-Laure Bianne-Bernard, Christopher Kermorvant:
The A2iA French handwriting recognition system at the Rimes-ICDAR2011 competition. DRR 2012: 82970Y - [c13]Anne-Laure Bianne-Bernard, Farès Menasri, Laurence Likforman-Sulem, Chafic Mokbel, Christopher Kermorvant:
Variable length and context-dependent HMM letter form models for Arabic handwritten word recognition. DRR 2012: 829708 - 2011
- [j2]Anne-Laure Bianne-Bernard, Christopher Kermorvant, Laurence Likforman-Sulem, Chafic Mokbel:
Modélisation de HMM en contexte avec des arbres de décision pour la reconnaissance de mots manuscrits. Document Numérique 14(2): 29-52 (2011) - [j1]Anne-Laure Bianne-Bernard, Farès Menasri, Ramy Al-Hajj Mohamad, Chafic Mokbel, Christopher Kermorvant, Laurence Likforman-Sulem:
Dynamic and Contextual Information in HMM Modeling for Handwritten Word Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 33(10): 2066-2080 (2011) - [c12]Cédric Sibade, Thomas Retornaz, Thibauld Nion, Romain Lerallut, Christopher Kermorvant:
Automatic indexing of French handwritten census registers for probate geneaology. HIP@ICDAR 2011: 51-58 - [c11]Jérôme Louradour, Christopher Kermorvant:
Sample-Dependent Feature Selection for Faster Document Image Categorization. ICDAR 2011: 309-313 - 2010
- [c10]Anne-Laure Bianne, Christopher Kermorvant, Laurence Likforman-Sulem:
Context-dependent HMM modeling using tree-based clustering for the recognition of handwritten words. DRR 2010: 75340I - [c9]Christopher Kermorvant, Jérôme Louradour:
Handwritten Mail Classification Experiments with the Rimes Database. ICFHR 2010: 241-246 - [c8]Christopher Kermorvant, Farès Menasri, Anne-Laure Bianne, Ramy Al-Hajj Mohamad, Chafic Mokbel, Laurence Likforman-Sulem:
The A2iA-Telecom ParisTech-UOB System for the ICDAR 2009 Handwriting Recognition Competition. ICFHR 2010: 247-252
2000 – 2009
- 2009
- [c7]Christopher Kermorvant, Anne-Laure Bianne, Patrick Marty, Farès Menasri:
From Isolated Handwritten Characters to Fields Recognition: There's Many a Slip Twixt Cup and Lip. ICDAR 2009: 1031-1035 - 2004
- [c6]François Coste, Daniel Fredouille, Christopher Kermorvant, Colin de la Higuera:
Introducing Domain and Typing Bias in Automata Inference. ICGI 2004: 115-126 - [c5]Christopher Kermorvant, Colin de la Higuera, Pierre Dupont:
Improving Probabilistic Automata Learning with Additional Knowledge. SSPR/SPR 2004: 260-268 - 2002
- [c4]Christopher Kermorvant, Pierre Dupont:
Improved Smoothing for Probabilistic Suffix Trees Seen as Variable Order Markov Chains. ECML 2002: 185-194 - [c3]Christopher Kermorvant, Pierre Dupont:
Stochastic Grammatical Inference with Multinomial Tests. ICGI 2002: 149-160 - [c2]Christopher Kermorvant, Colin de la Higuera:
Learning Languages with Help. ICGI 2002: 161-173
1990 – 1999
- 1999
- [c1]Christopher Kermorvant, Andrew C. Morris:
A comparison of two strategies for ASR in additive noise: missing data and spectral subtraction. EUROSPEECH 1999: 2841-2844
Coauthor Index
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