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Clément Chatelain 0001
Person information
- affiliation: INSA of Rouen, France
- affiliation: LITIS EA, Saint-Etienne du Rouvray, France
Other persons with the same name
- Clément Chatelain 0002
— SANOFI R&D, Chilly Mazarin, France
- Clément Chatelain 0003 — Pierre and Marie Curie University, Paris, France
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2020 – today
- 2024
- [j20]Usman Malik, Simon Bernard
Pseudo-Labeling With Large Language Models for Multi-Label Emotion Classification of French Tweets. IEEE Access 12: 15902-15916 (2024) - [j19]Leshanshui Yang
Dynamic Graph Representation Learning With Neural Networks: A Survey. IEEE Access 12: 43460-43484 (2024) - [j18]Benjamin Deguerre
End-to-End Traffic Flow Rate Estimation From MPEG4 part-2 Compressed Video Streams. IEEE Trans. Intell. Transp. Syst. 25(8): 8949-8959 (2024) - [c41]Leshanshui Yang, Clément Chatelain, Sébastien Adam:
DspGNN : Une Approche Spectrale de Réseau de Neurones sur Graphes Dynamiques pour la régression des arêtes. EGC 2024: 215-222 - [i16]Yannis Karmim, Leshanshui Yang, Raphaël Fournier S'Niehotta, Clément Chatelain, Sébastien Adam, Nicolas Thome:
Temporal receptive field in dynamic graph learning: A comprehensive analysis. CoRR abs/2407.12370 (2024) - 2023
- [j17]Denis Coquenet
End-to-End Handwritten Paragraph Text Recognition Using a Vertical Attention Network. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 508-524 (2023) - [j16]Denis Coquenet
DAN: A Segmentation-Free Document Attention Network for Handwritten Document Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8227-8243 (2023) - [c40]Denis Coquenet
Faster DAN: Multi-target Queries with Document Positional Encoding for End-to-End Handwritten Document Recognition. ICDAR (4) 2023: 182-199 - [c39]Tsiry Mayet, Simon Bernard, Clément Chatelain, Romain Hérault:
Domain Translation via Latent Space Mapping. IJCNN 2023: 1-10 - [i15]Denis Coquenet, Clément Chatelain, Thierry Paquet:
Faster DAN: Multi-target Queries with Document Positional Encoding for End-to-end Handwritten Document Recognition. CoRR abs/2301.10593 (2023) - [i14]Leshanshui Yang, Sébastien Adam, Clément Chatelain:
Dynamic Graph Representation Learning with Neural Networks: A Survey. CoRR abs/2304.05729 (2023) - [i13]Tsiry Mayet, Simon Bernard, Clément Chatelain, Romain Hérault:
Multiple Noises in Diffusion Model for Semi-Supervised Multi-Domain Translation. CoRR abs/2309.14394 (2023) - 2022
- [c38]Thomas Constum, Nicolas Kempf, Thierry Paquet, Pierrick Tranouez, Clément Chatelain, Sandra Brée, François Merveille:
Recognition and Information Extraction in Historical Handwritten Tables: Toward Understanding Early 20th Century Paris Census. DAS 2022: 143-157 - [i12]Denis Coquenet, Clément Chatelain, Thierry Paquet:
DAN: a Segmentation-free Document Attention Network for Handwritten Document Recognition. CoRR abs/2203.12273 (2022) - [i11]Tsiry Mayet, Simon Bernard
Domain Translation via Latent Space Mapping. CoRR abs/2212.03361 (2022) - 2021
- [c37]Denis Coquenet
SPAN: A Simple Predict & Align Network for Handwritten Paragraph Recognition. ICDAR (3) 2021: 70-84 - [i10]Denis Coquenet
SPAN: a Simple Predict & Align Network for Handwritten Paragraph Recognition. CoRR abs/2102.08742 (2021) - 2020
- [j15]Bruno Stuner, Clément Chatelain, Thierry Paquet:
Handwriting recognition using cohort of LSTM and lexicon verification with extremely large lexicon. Multim. Tools Appl. 79(45-46): 34407-34427 (2020) - [j14]Yann Soullard, Pierrick Tranouez, Clément Chatelain, Stéphane Nicolas, Thierry Paquet:
Multi-scale Gated Fully Convolutional DenseNets for semantic labeling of historical newspaper images. Pattern Recognit. Lett. 131: 435-441 (2020) - [c36]Denis Coquenet
Recurrence-free unconstrained handwritten text recognition using gated fully convolutional network. ICFHR 2020: 19-24 - [c35]Benjamin Deguerre, Clément Chatelain, Gilles Gasso:
Object Detection in the DCT Domain: is Luminance the Solution? ICPR 2020: 2627-2634 - [i9]Benjamin Deguerre, Clément Chatelain, Gilles Gasso:
Object Detection in the DCT Domain: is Luminance the Solution? CoRR abs/2006.05732 (2020) - [i8]Denis Coquenet
End-to-end Handwritten Paragraph Text Recognition Using a Vertical Attention Network. CoRR abs/2012.03868 (2020) - [i7]Denis Coquenet, Yann Soullard, Clément Chatelain, Thierry Paquet:
Have convolutions already made recurrence obsolete for unconstrained handwritten text recognition ? CoRR abs/2012.04954 (2020) - [i6]Denis Coquenet, Clément Chatelain, Thierry Paquet:
Recurrence-free unconstrained handwritten text recognition using gated fully convolutional network. CoRR abs/2012.04961 (2020)
2010 – 2019
- 2019
- [b1]Clément Chatelain:
Contributions à l'apprentissage profond, applications à la reconnaissance d'écriture manuscrite. University of Rouen, France, 2019 - [j13]Danut Ovidiu Pop
Multi-Task Deep Learning for Pedestrian Detection, Action Recognition and Time to Cross Prediction. IEEE Access 7: 149318-149327 (2019) - [c34]Denis Coquenet
Have Convolutions Already Made Recurrence Obsolete for Unconstrained Handwritten Text Recognition? WML@ICDAR 2019: 65-70 - [c33]Yann Soullard, Wassim Swaileh
Improving Text Recognition using Optical and Language Model Writer Adaptation. ICDAR 2019: 1175-1180 - [c32]Benjamin Deguerre, Clément Chatelain
Fast object detection in compressed JPEG Images. ITSC 2019: 333-338 - [i5]Benjamin Deguerre, Clément Chatelain, Gilles Gasso:
Fast object detection in compressed JPEG Images. CoRR abs/1904.08408 (2019) - 2018
- [j12]Guillaume Renton
Fully convolutional network with dilated convolutions for handwritten text line segmentation. Int. J. Document Anal. Recognit. 21(3): 177-186 (2018) - [j11]Soufiane Belharbi
Deep neural networks regularization for structured output prediction. Neurocomputing 281: 169-177 (2018) - [c31]Maxime Martineau, Romain Raveaux, Clément Chatelain
Effective Training of Convolutional Neural Networks for Insect Image Recognition. ACIVS 2018: 426-437 - 2017
- [j10]Soufiane Belharbi
Spotting L3 slice in CT scans using deep convolutional network and transfer learning. Comput. Biol. Medicine 87: 95-103 (2017) - [j9]Selma Belgacem
Gesture sequence recognition with one shot learned CRF/HMM hybrid model. Image Vis. Comput. 61: 12-21 (2017) - [c30]Guillaume Renton
Handwritten Text Line Segmentation Using Fully Convolutional Network. WML@ICDAR 2017: 5-9 - [c29]Bruno Stuner, Clément Chatelain
Self-Training of BLSTM with Lexicon Verification for Handwriting Recognition. ICDAR 2017: 633-638 - [i4]Bruno Stuner, Clément Chatelain, Thierry Paquet:
LV-ROVER: Lexicon Verified Recognizer Output Voting Error Reduction. CoRR abs/1707.07432 (2017) - [i3]Soufiane Belharbi, Clément Chatelain, Romain Hérault
Neural Networks Regularization Through Class-wise Invariant Representation Learning. CoRR abs/1709.01867 (2017) - 2016
- [j8]Simon Bernard
The Multiclass ROC Front method for cost-sensitive classification. Pattern Recognit. 52: 46-60 (2016) - [c28]Philippine Barlas, David Hebert, Clément Chatelain, Sébastien Adam, Thierry Paquet:
Language Identification in Document Images. Document Recognition and Retrieval 2016: 1-16 - [c27]Soufiane Belharbi, Romain Hérault, Clément Chatelain, Sébastien Adam:
Deep multi-task learning with evolving weights. ESANN 2016 - [c26]Bruno Stuner, Clément Chatelain
A Lexicon Verification Strategy in a BLSTM Cascade Framework. ICFHR 2016: 234-239 - [c25]Bruno Stuner, Clément Chatelain
Cascading BLSTM networks for handwritten word recognition. ICPR 2016: 3416-3421 - [i2]Bruno Stuner, Clément Chatelain, Thierry Paquet:
Cohort of LSTM and lexicon verification for handwriting recognition with gigantic lexicon. CoRR abs/1612.07528 (2016) - 2015
- [j7]Simon Thomas, Clément Chatelain
A deep HMM model for multiple keywords spotting in handwritten documents. Pattern Anal. Appl. 18(4): 1003-1015 (2015) - [j6]Julien Lerouge
IODA: An input/output deep architecture for image labeling. Pattern Recognit. 48(9): 2847-2858 (2015) - [c24]Gautier Bideault, Luc Mioulet, Clément Chatelain
Spotting handwritten words and REGEX using a two stage BLSTM-HMM architecture. DRR 2015: 94020G - [c23]Luc Mioulet, Gautier Bideault, Clément Chatelain
Exploring multiple feature combination strategies with a recurrent neural network architecture for off-line handwriting recognition. DRR 2015: 94020F - [c22]Gautier Bideault, Luc Mioulet, Clément Chatelain
Benchmarking discriminative approaches for word spotting in handwritten documents. ICDAR 2015: 201-205 - [c21]Luc Mioulet, Utpal Garain, Clément Chatelain
Language identification from handwritten documents. ICDAR 2015: 676-680 - [c20]Utpal Garain, Luc Mioulet, Bidyut B. Chaudhuri, Clément Chatelain
Unconstrained Bengali handwriting recognition with recurrent models. ICDAR 2015: 1056-1060 - [c19]Gautier Bideault, Luc Mioulet, Clément Chatelain, Thierry Paquet:
A Hybrid BLSTM-HMM for Spotting Regular Expressions. ICPRAM (2) 2015: 5-12 - [c18]Gautier Bideault, Luc Mioulet, Clément Chatelain
Using BLSTM for Spotting Regular Expressions in Handwritten Documents. ICPRAM (Selected Papers) 2015: 143-157 - [c17]Luc Mioulet, Gautier Bideault, Clément Chatelain, Thierry Paquet, Stephan Brunessaux:
BLSTM-CTC Combination Strategies for Off-line Handwriting Recognition. ICPRAM (1) 2015: 173-180 - [i1]Soufiane Belharbi, Clément Chatelain, Romain Hérault, Sébastien Adam:
Input/Output Deep Architecture for Structured Output Problems. CoRR abs/1504.07550 (2015) - 2014
- [c16]Philippine Barlas, Clément Chatelain, Sébastien Adam, Thierry Paquet:
Détection et segmentation des blocs de texte manuscrits et imprimés dans des documents complexes. CORIA-CIFED 2014: 125-137 - [c15]Thotreingam Kasar, Philippine Barlas, Sébastien Adam, Clément Chatelain, Thierry Paquet:
Détection de tableaux dans des documents complexes. CORIA-CIFED 2014: 363-366 - [c14]Philippine Barlas, Sébastien Adam, Clément Chatelain
A Typed and Handwritten Text Block Segmentation System for Heterogeneous and Complex Documents. Document Analysis Systems 2014: 46-50 - [c13]David Hebert, Philippine Barlas, Clément Chatelain
Writing Type and Language Identification in Heterogeneous and Complex Documents. ICFHR 2014: 411-416 - [c12]Gautier Bideault, Luc Mioulet, Clément Chatelain
A Hybrid CRF/HMM Approach for Handwriting Recognition. ICIAR (1) 2014: 403-410 - 2013
- [j5]Simon Thomas, Clément Chatelain
Un modèle neuro markovien profond pour l'extraction de séquences dans des documents manuscrits. Document Numérique 16(2): 49-68 (2013) - [c11]Yousri Kessentini
Word Spotting and Regular Expression Detection in Handwritten Documents. ICDAR 2013: 516-520 - [c10]Thotreingam Kasar, Philippine Barlas, Sébastien Adam, Clément Chatelain
Learning to Detect Tables in Scanned Document Images Using Line Information. ICDAR 2013: 1185-1189 - 2012
- [j4]Thierry Paquet, Laurent Heutte, Guillaume Koch, Clément Chatelain
A categorization system for handwritten documents. Int. J. Document Anal. Recognit. 15(4): 315-330 (2012) - [c9]Selma Belgacem
Hand Tracking Using Optical-Flow Embedded Particle Filter in Sign Language Scenes. ICCVG 2012: 288-295 - 2011
- [j3]Ovidiu Radulescu
Genetically Regulated Metabolic Networks: Gale-Nikaido Modules and Differential Inequalities. Trans. Comp. Sys. Biology 13: 110-130 (2011) - 2010
- [j2]Clément Chatelain
Noncost Sensitive SVM Training Using Multiple Model Selection. J. Circuits Syst. Comput. 19(1): 231-242 (2010) - [j1]Clément Chatelain
A multi-model selection framework for unknown and/or evolutive misclassification cost problems. Pattern Recognit. 43(3): 815-823 (2010) - [c8]Simon Thomas, Clément Chatelain
Alpha-Numerical Sequences Extraction in Handwritten Documents. ICFHR 2010: 232-237 - [c7]Simon Thomas, Clément Chatelain
An Information Extraction Model for Unconstrained Handwritten Documents. ICPR 2010: 3412-3415
2000 – 2009
- 2009
- [c6]Benjamin Labbé, Romain Hérault
Learning Deep Neural Networks for High Dimensional Output Problems. ICMLA 2009: 63-68 - 2007
- [c5]Clément Chatelain
Multi-Objective Optimization for SVM Model Selection. ICDAR 2007: 427-431 - 2006
- [c4]Clément Chatelain
Segmentation-Driven Recognition Applied to Numerical Field Extraction from Handwritten Incoming Mail Documents. Document Analysis Systems 2006: 564-575 - [c3]Clément Chatelain, Laurent Heutte, Thierry Paquet:
Extraction automatique de champs numériques dans des documents manuscrits. EGC 2006: 23-34 - [c2]Clément Chatelain
A two-stage outlier rejection strategy for numerical field extraction in handwritten documents. ICPR (3) 2006: 224-227 - 2004
- [c1]Clément Chatelain
A syntax-directed method for numerical field extraction using classifier combination. IWFHR 2004: 93-98
Coauthor Index
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last updated on 2024-11-08 20:32 CET by the dblp team
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