Clément Chatelain

Orcid: 0000-0001-8377-0630

Affiliations:
  • INSA of Rouen, France
  • LITIS EA, Saint-Etienne du Rouvray, France


According to our database1, Clément Chatelain authored at least 65 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Dynamic Graph Representation Learning With Neural Networks: A Survey.
IEEE Access, 2024

Pseudo-Labeling With Large Language Models for Multi-Label Emotion Classification of French Tweets.
IEEE Access, 2024

2023
DAN: A Segmentation-Free Document Attention Network for Handwritten Document Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

End-to-End Handwritten Paragraph Text Recognition Using a Vertical Attention Network.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Multiple Noises in Diffusion Model for Semi-Supervised Multi-Domain Translation.
CoRR, 2023

Domain Translation via Latent Space Mapping.
Proceedings of the International Joint Conference on Neural Networks, 2023

Faster DAN: Multi-target Queries with Document Positional Encoding for End-to-End Handwritten Document Recognition.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

2022
Recognition and Information Extraction in Historical Handwritten Tables: Toward Understanding Early 20<sup>th</sup> Century Paris Census.
Proceedings of the Document Analysis Systems - 15th IAPR International Workshop, 2022

2021
SPAN: A Simple Predict & Align Network for Handwritten Paragraph Recognition.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

2020
Multi-scale Gated Fully Convolutional DenseNets for semantic labeling of historical newspaper images.
Pattern Recognit. Lett., 2020

Handwriting recognition using cohort of LSTM and lexicon verification with extremely large lexicon.
Multim. Tools Appl., 2020

Object Detection in the DCT Domain: is Luminance the Solution?
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Recurrence-free unconstrained handwritten text recognition using gated fully convolutional network.
Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition, 2020

2019
Multi-Task Deep Learning for Pedestrian Detection, Action Recognition and Time to Cross Prediction.
IEEE Access, 2019

Fast object detection in compressed JPEG Images.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Improving Text Recognition using Optical and Language Model Writer Adaptation.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Have Convolutions Already Made Recurrence Obsolete for Unconstrained Handwritten Text Recognition?
Proceedings of the Second International Workshop on Machine Learning, 2019

Contributions à l'apprentissage profond, applications à la reconnaissance d'écriture manuscrite.
, 2019

2018
Deep neural networks regularization for structured output prediction.
Neurocomputing, 2018

Fully convolutional network with dilated convolutions for handwritten text line segmentation.
Int. J. Document Anal. Recognit., 2018

Effective Training of Convolutional Neural Networks for Insect Image Recognition.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2018

2017
Gesture sequence recognition with one shot learned CRF/HMM hybrid model.
Image Vis. Comput., 2017

Neural Networks Regularization Through Class-wise Invariant Representation Learning.
CoRR, 2017

LV-ROVER: Lexicon Verified Recognizer Output Voting Error Reduction.
CoRR, 2017

Spotting L3 slice in CT scans using deep convolutional network and transfer learning.
Comput. Biol. Medicine, 2017

Self-Training of BLSTM with Lexicon Verification for Handwriting Recognition.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

Handwritten Text Line Segmentation Using Fully Convolutional Network.
Proceedings of the First Workshop of Machine Learning, 2017

2016
The Multiclass ROC Front method for cost-sensitive classification.
Pattern Recognit., 2016

Cohort of LSTM and lexicon verification for handwriting recognition with gigantic lexicon.
CoRR, 2016

Cascading BLSTM networks for handwritten word recognition.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

A Lexicon Verification Strategy in a BLSTM Cascade Framework.
Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition, 2016

Deep multi-task learning with evolving weights.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Language Identification in Document Images.
Proceedings of the Document Recognition and Retrieval XXIII, 2016

2015
IODA: An input/output deep architecture for image labeling.
Pattern Recognit., 2015

A deep HMM model for multiple keywords spotting in handwritten documents.
Pattern Anal. Appl., 2015

Input/Output Deep Architecture for Structured Output Problems.
CoRR, 2015

BLSTM-CTC Combination Strategies for Off-line Handwriting Recognition.
Proceedings of the ICPRAM 2015, 2015

Using BLSTM for Spotting Regular Expressions in Handwritten Documents.
Proceedings of the Pattern Recognition Applications and Methods, 2015

A Hybrid BLSTM-HMM for Spotting Regular Expressions.
Proceedings of the ICPRAM 2015, 2015

Language identification from handwritten documents.
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

Unconstrained Bengali handwriting recognition with recurrent models.
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

Benchmarking discriminative approaches for word spotting in handwritten documents.
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

Exploring multiple feature combination strategies with a recurrent neural network architecture for off-line handwriting recognition.
Proceedings of the Document Recognition and Retrieval XXII, 2015

Spotting handwritten words and REGEX using a two stage BLSTM-HMM architecture.
Proceedings of the Document Recognition and Retrieval XXII, 2015

2014
A Hybrid CRF/HMM Approach for Handwriting Recognition.
Proceedings of the Image Analysis and Recognition - 11th International Conference, 2014

Writing Type and Language Identification in Heterogeneous and Complex Documents.
Proceedings of the 14th International Conference on Frontiers in Handwriting Recognition, 2014

A Typed and Handwritten Text Block Segmentation System for Heterogeneous and Complex Documents.
Proceedings of the 11th IAPR International Workshop on Document Analysis Systems, 2014

Détection de tableaux dans des documents complexes.
Proceedings of the CORIA 2014, 2014

Détection et segmentation des blocs de texte manuscrits et imprimés dans des documents complexes.
Proceedings of the CORIA 2014, 2014

2013
Un modèle neuro markovien profond pour l'extraction de séquences dans des documents manuscrits.
Document Numérique, 2013

Word Spotting and Regular Expression Detection in Handwritten Documents.
Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013

Learning to Detect Tables in Scanned Document Images Using Line Information.
Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013

2012
A categorization system for handwritten documents.
Int. J. Document Anal. Recognit., 2012

Hand Tracking Using Optical-Flow Embedded Particle Filter in Sign Language Scenes.
Proceedings of the Computer Vision and Graphics - International Conference, 2012

2011
Genetically Regulated Metabolic Networks: Gale-Nikaido Modules and Differential Inequalities.
Trans. Comp. Sys. Biology, 2011

2010
A multi-model selection framework for unknown and/or evolutive misclassification cost problems.
Pattern Recognit., 2010

Noncost Sensitive SVM Training Using Multiple Model Selection.
J. Circuits Syst. Comput., 2010

An Information Extraction Model for Unconstrained Handwritten Documents.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Alpha-Numerical Sequences Extraction in Handwritten Documents.
Proceedings of the International Conference on Frontiers in Handwriting Recognition, 2010

2009
Learning Deep Neural Networks for High Dimensional Output Problems.
Proceedings of the International Conference on Machine Learning and Applications, 2009

2007
Multi-Objective Optimization for SVM Model Selection.
Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007), 2007

2006
A two-stage outlier rejection strategy for numerical field extraction in handwritten documents.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Extraction automatique de champs numériques dans des documents manuscrits.
Proceedings of the Extraction et gestion des connaissances (EGC'2006), 2006

Segmentation-Driven Recognition Applied to Numerical Field Extraction from Handwritten Incoming Mail Documents.
Proceedings of the Document Analysis Systems VII, 7th International Workshop, 2006

2004
A syntax-directed method for numerical field extraction using classifier combination.
Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition, 2004


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