Clement Chatelain
Clement Chatelain
Maître de conférences, INSA Rouen, LITIS
Verified email at - Homepage
Cited by
Cited by
Learning to Detect Tables in Scanned Document Images using Line Information
T Kasar, P Barlas, S Adam, C Chatelain, T Paquet
ICDAR, 2013
Fully convolutional network with dilated convolutions for handwritten text line segmentation
G Renton, Y Soullard, C Chatelain, S Adam, C Kermorvant, T Paquet
International Journal on Document Analysis and Recognition (IJDAR) 21 (3 …, 2018
A multi-model selection framework for unknown and/or evolutive misclassification cost problems
C Chatelain, S Adam, Y Lecourtier, L Heutte, T Paquet
Pattern Recognition 43 (3), 815-823, 2010
Gesture sequence recognition with one shot learned CRF/HMM hybrid model
S Belgacem, C Chatelain, T Paquet
Image and Vision Computing 61, 12-21, 2017
Spotting L3 slice in CT scans using deep convolutional network and transfer learning
S Belharbi, C Chatelain, R Hérault, S Adam, S Thureau, M Chastan, ...
Computers in Biology and Medicine 87, 95-103, 2017
A Deep HMM model for multiple keywords spotting in handwritten documents
S Thomas, C Chatelain, L Heutte, T Paquet
Pattern Analysis and Applications 18 (4), 1003-1015, 2015
Handwriting recognition using cohort of LSTM and lexicon verification with extremely large lexicon
B Stuner, C Chatelain, T Paquet
Multimedia Tools and Applications 79 (45-46), 34407-34427, 2020
End-to-end handwritten paragraph text recognition using a vertical attention network
D Coquenet, C Chatelain, T Paquet
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (1), 508-524, 2022
3-d rpet-net: development of a 3-d pet imaging convolutional neural network for radiomics analysis and outcome prediction
A Amyar, S Ruan, I Gardin, C Chatelain, P Decazes, R Modzelewski
IEEE Transactions on Radiation and Plasma Medical Sciences 3 (2), 225-231, 2019
Morphological changes in early melanoma development: influence of nutrients, growth inhibitors and cell-adhesion mechanisms
C Chatelain, P Ciarletta, MB Amar
Journal of theoretical biology 290, 46-59, 2011
IODA: An input/output deep architecture for image labeling
J Lerouge, R Hérault, C Chatelain, F Jardin, R Modzelewski
Pattern Recognition 48 (9), 2847-2858, 2015
An information extraction model for unconstrained handwritten documents
S Thomas, C Chatelain, L Heutte, T Paquet
2010 20th International Conference on Pattern Recognition, 3412-3415, 2010
Multi-task Deep Learning for Pedestrian Detection, Action Recognition and Time to Cross Prediction
D Pop, A Rogozan, C Chatelain, F Nashashibi, A Bensrhair
IEEE Access 7, 149318--149327, 2019
The Multiclass ROC Front method for cost-sensitive classification
S Bernard, C Chatelain, S Adam, R Sabourin
Pattern Recognition 52, 46-60, 2016
A typed and handwritten text block segmentation system for heterogeneous and complex documents
P Barlas, S Adam, C Chatelain, T Paquet
Document Analysis Systems (DAS), 2014 11th IAPR International Workshop on, 46-50, 2014
Recurrence-free unconstrained handwritten text recognition using gated fully convolutional network
D Coquenet, C Chatelain, T Paquet
2020 17th International Conference on Frontiers in Handwriting Recognition …, 2020
Segmentation-driven recognition applied to numerical field extraction from handwritten incoming mail documents
C Chatelain, L Heutte, T Paquet
Document Analysis Systems VII: 7th International Workshop, DAS 2006, Nelson …, 2006
Extraction de séquences numériques dans des documents manuscrits quelconques
C Chatelain
PhD, 2006
Fast object detection in compressed jpeg images
B Deguerre, C Chatelain, G Gasso
2019 IEEE intelligent transportation systems conference (ITSC), 333-338, 2019
A two-stage outlier rejection strategy for numerical field extraction in handwritten documents
C Chatelain, L Heutte, T Paquet
ICPR, 224-227, 2006
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