Christopher Kermorvant

发表

The A2iA-Telecom ParisTech-UOB System for the ICDAR 2009 Handwriting Recognition Competition

Chafic Mokbel, Christopher Kermorvant, Farès Menasri, 2010, 2010 12th International Conference on Frontiers in Handwriting Recognition.

The A2iA Arabic Handwritten Text Recognition System at the Open HaRT2013 Evaluation

Christopher Kermorvant, Jérôme Louradour, Théodore Bluche, 2014, 2014 11th IAPR International Workshop on Document Analysis Systems.

The A2iA Multi-lingual Text Recognition System at the Second Maurdor Evaluation

Christopher Kermorvant, Jérôme Louradour, Théodore Bluche, 2014, 2014 14th International Conference on Frontiers in Handwriting Recognition.

Handwritten Mail Classification Experiments with the Rimes Database

Christopher Kermorvant, Jérôme Louradour, 2010, 2010 12th International Conference on Frontiers in Handwriting Recognition.

From Isolated Handwritten Characters to Fields Recognition: There's Many a Slip Twixt Cup and Lip

Christopher Kermorvant, Farès Menasri, Anne-Laure Bianne-Bernard, 2009, 2009 10th International Conference on Document Analysis and Recognition.

Learning Text-Line Localization with Shared and Local Regression Neural Networks

Christian Wolf, Christopher Kermorvant, Jérôme Louradour, 2016, 2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR).

Hybrid word/Part-of-Arabic-Word Language Models for arabic text document recognition

Christopher Kermorvant, Jérôme Louradour, Mohamed Faouzi BenZeghiba, 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).

Preparatory KWS Experiments for Large-Scale Indexing of a Vast Medieval Manuscript Collection in the HIMANIS Project

Alejandro Héctor Toselli, Enrique Vidal, Christopher Kermorvant, 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).

Dropout Improves Recurrent Neural Networks for Handwriting Recognition

Christopher Kermorvant, Jérôme Louradour, Vu Pham, 2013, 2014 14th International Conference on Frontiers in Handwriting Recognition.

From Text and Image to Historical Resource: Text-Image Alignment for Digital Humanists

Alexei Lavrentiev, Christopher Kermorvant, Yann Leydier, 2015 .

Automatic Handwritten Character Segmentation for Paleographical Character Shape Analysis

Christopher Kermorvant, Théodore Bluche, Dominique Stutzmann, 2016, 2016 12th IAPR Workshop on Document Analysis Systems (DAS).

Curriculum Learning for Handwritten Text Line Recognition

Christopher Kermorvant, Jérôme Louradour, J. Louradour, 2013, 2014 11th IAPR International Workshop on Document Analysis Systems.

A Biologically Plausible SOM Representation of the Orthographic Form of 50, 000 French Words

Hervé Glotin, Christopher Kermorvant, Claude F. Touzet, 2014, WSOM.

Tandem HMM with convolutional neural network for handwritten word recognition

Hermann Ney, Christopher Kermorvant, Théodore Bluche, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Handwritten Information Extraction from Historical Census Documents

Christopher Kermorvant, Farès Menasri, Jérôme Louradour, 2013, 2013 12th International Conference on Document Analysis and Recognition.

Features for HMM-Based Arabic Handwritten Word Recognition Systems

Christopher Kermorvant, Anne-Laure Bianne-Bernard, Laurence Likforman-Sulem, 2012 .

A comparison of noise reduction techniques for robust speech recognition

Christopher Kermorvant, 1999 .

Learning to detect, localize and recognize many text objects in document images from few examples

Christian Wolf, Christopher Kermorvant, Bastien Moysset, 2018, International Journal on Document Analysis and Recognition (IJDAR).

Handwritten Text Line Segmentation Using Fully Convolutional Network

Christopher Kermorvant, Clément Chatelain, Thierry Paquet, 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).

Books of Hours: the First Liturgical Corpus for Text Segmentation

Christopher Kermorvant, Béatrice Daille, Amir Hazem, 2020, LREC 2020.

A Comparison of Sequence-Trained Deep Neural Networks and Recurrent Neural Networks Optical Modeling for Handwriting Recognition

Hermann Ney, Christopher Kermorvant, Théodore Bluche, 2014, SLSP.

Stochastic Grammatical Inference with Multinomial Tests

Pierre Dupont, Christopher Kermorvant, Christopher Kermorvant, 2002, ICGI.

The A2iA French handwriting recognition system at the Rimes-ICDAR2011 competition

Christopher Kermorvant, Farès Menasri, Anne-Laure Bianne-Bernard, 2012, Electronic Imaging.

Reconnaissance et indexation automatique des registres de la chancellerie française (1300-1483)

Christopher Kermorvant, 2018, EGC.

Inférence d'automates et correction d'erreurs pour la classification des protéines

Christopher Kermorvant, Pierre Dupont, 2001 .

Paragraph text segmentation into lines with Recurrent Neural Networks

Christian Wolf, Christopher Kermorvant, Jérôme Louradour, 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).

A comparison of two strategies for ASR in additive noise: missing data and spectral subtraction

Andrew C. Morris, Christopher Kermorvant, 1999, EUROSPEECH.

Recognition : Learning Where to Start and When to Stop

Christian Wolf, Christopher Kermorvant, Bastien Moysset, 2017 .

Automatic Page Classification in a Large Collection of Manuscripts Based on the International Image Interoperability Framework

Christopher Kermorvant, Alexis Toumi, Dominique Stutzmann, 2019, 2019 International Conference on Document Analysis and Recognition (ICDAR).

Improving Probabilistic Automata Learning with Additional Knowledge

Colin de la Higuera, Pierre Dupont, Christopher Kermorvant, 2004, SSPR/SPR.

Where to apply dropout in recurrent neural networks for handwriting recognition?

Christopher Kermorvant, Jérôme Louradour, Théodore Bluche, 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).

Towards introducing long-term statistics in MUSE for robust speech recognition

Chafic Mokbel, Christopher Kermorvant, 1999 .

Dynamic and Contextual Information in HMM Modeling for Handwritten Word Recognition

Chafic Mokbel, Christopher Kermorvant, Farès Menasri, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Automatic Line Segmentation and Ground-Truth Alignment of Handwritten Documents

Christopher Kermorvant, Théodore Bluche, Bastien Moysset, 2014, 2014 14th International Conference on Frontiers in Handwriting Recognition.

Sample-Dependent Feature Selection for Faster Document Image Categorization

Christopher Kermorvant, Jérôme Louradour, J. Louradour, 2011, 2011 International Conference on Document Analysis and Recognition.

Learning to detect and localize many objects from few examples pdf

Christian Wolf, Christopher Kermorvant, Bastien Moysset, 2016, ArXiv.

Automatic indexing of French handwritten census registers for probate geneaology

Christopher Kermorvant, Romain Lerallut, Cédric Sibade, 2011, HIP '11.

Books of Hours. the First Liturgical Data Set for Text Segmentation.

Christopher Kermorvant, Béatrice Daille, Amir Hazem, 2020, LREC.

The LIMSI handwriting recognition system for the HTRtS 2014 contest

Hermann Ney, Christopher Kermorvant, Théodore Bluche, 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).

La CTC et son intrigant label « blank » : étude comparative de méthodes d'entraînement de réseaux de neurones pour la reconnaissance d'écriture

Hermann Ney, Christopher Kermorvant, Jérôme Louradour, 2016, CORIA-CIFED.

Improved Smoothing for Probabilistic Suffix Trees Seen as Variable Order Markov Chains

Pierre Dupont, Christopher Kermorvant, 2002, ECML.

Introducing Domain and Typing Bias in Automata Inference

Colin de la Higuera, Christopher Kermorvant, Daniel Fredouille, 2004, ICGI.

Learning Languages with Help

Colin de la Higuera, Christopher Kermorvant, Christopher Kermorvant, 2002, ICGI.

Extracting Hidden Sense Probabilities from Bitexts

Yoshua Bengio, Christopher Kermorvant, 2003 .

General Sparse Penalty in Deep Belief Networks: Towards Domain Adaptation

Hervé Glotin, Christopher Kermorvant, Xanadu Halkias, 2013 .

Fully convolutional network with dilated convolutions for handwritten text line segmentation

Christopher Kermorvant, Clément Chatelain, Thierry Paquet, 2018, International Journal on Document Analysis and Recognition (IJDAR).

A Comparison of Recognition Strategies for Printed/Handwritten Composite Documents

Christopher Kermorvant, Bastien Moysset, Ronaldo O. Messina, 2014, 2014 14th International Conference on Frontiers in Handwriting Recognition.

Variable length and context-dependent HMM letter form models for Arabic handwritten word recognition

Chafic Mokbel, Christopher Kermorvant, Farès Menasri, 2012, Electronic Imaging.

Hierarchical Text Segmentation for Medieval Manuscripts

Christopher Kermorvant, Amir Hazem, Dominique Stutzmann, 2020, COLING.

Modélisation de HMM en contexte avec des arbres de décision pour la reconnaissance de mots manuscrits

Chafic Mokbel, Christopher Kermorvant, Anne-Laure Bianne-Bernard, 2011, Document Numérique.

HORAE: an annotated dataset of books of hours

Christopher Kermorvant, Dominique Stutzmann, Marie-Laurence Bonhomme, 2019, HIP '19.

Framewise and CTC training of Neural Networks for handwriting recognition

Hermann Ney, Christopher Kermorvant, Jérôme Louradour, 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).

Landscape Analysis for the Specimen Data Refinery

Alan R. Williams, Christopher Kermorvant, Ben Scott, 2020, Research Ideas and Outcomes.

Context-dependent HMM modeling using tree-based clustering for the recognition of handwritten words

Christopher Kermorvant, Anne-Laure Bianne-Bernard, Laurence Likforman-Sulem, 2010, Electronic Imaging.

Multiple Document Datasets Pre-training Improves Text Line Detection With Deep Neural Networks pdf

Christopher Kermorvant, Thierry Paquet, M'elodie Boillet, 2020, ArXiv.

On the Evaluation of Handwritten Text Line Detection Algorithms

Christopher Kermorvant, Bastien Moysset, 2013, 2013 12th International Conference on Document Analysis and Recognition.

Evolution of Sparse Constraints in Deep AI: From a general sparse penalty to Structured Sparsity

Hervé Glotin, Xanadu Halkias, Christopher Kermorvant, 2013 .

Feature Extraction with Convolutional Neural Networks for Handwritten Word Recognition

Hermann Ney, Christopher Kermorvant, Théodore Bluche, 2013, 2013 12th International Conference on Document Analysis and Recognition.

A comparison of sequential and combined approaches for named entity recognition in a corpus of handwritten medieval charters

Christopher Kermorvant, Enrique Vidal, Dominique Stutzmann, 2020, 2020 17th International Conference on Frontiers in Handwriting Recognition (ICFHR).

Construction de Modèles de Langages par Inférence d'Automates Typés à partir de Données Etiquetées Automatiquement

Colin de la Higuera, Pierre Dupont, Christopher Kermorvant, 2003 .

Handwritten Text Recognition, Keyword Indexing, and Plain Text Search in Medieval Manuscripts

Lambert Schomaker, Alejandro Héctor Toselli, Enrique Vidal, 2018, DH.

Over-Generative Finite State Transducer N-Gram for Out-of-Vocabulary Word Recognition

Christopher Kermorvant, Ronaldo O. Messina, Christopher Kermorvant, 2014, 2014 11th IAPR International Workshop on Document Analysis Systems.

Cortical-Inspired Open-Bigram Representation for Handwritten Word Recognition

Hervé Glotin, Christopher Kermorvant, Théodore Bluche, 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).

Including Keyword Position in Image-based Models for Act Segmentation of Historical Registers

Christopher Kermorvant, Thierry Paquet, Martin Maarand, 2021, HIP@ICDAR.

Multiple Document Datasets Pre-training Improves Text Line Detection With Deep Neural Networks

Christopher Kermorvant, Thierry Paquet, M'elodie Boillet, 2020, 2020 25th International Conference on Pattern Recognition (ICPR).

On using alternative recognition candidates and scores for handwritten documents classification

Christopher Kermorvant, Jérôme Louradour, Théodore Bluche, 2014 .