| Learning to Detect Tables in Scanned Document Images using Line Information T Kasar, P Barlas, S Adam, C Chatelain, T Paquet ICDAR, 2013 | 130 | 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 | 120* | 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 | 81* | 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 | 62* | 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 | 61 | 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 | 50* | 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 | 45* | 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 | 42 | 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 | 42 | 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 | 42 | 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 | 41 | 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 | 41* | 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 | 37 | 2019 |
| The Multiclass ROC Front method for cost-sensitive classification S Bernard, C Chatelain, S Adam, R Sabourin Pattern Recognition 52, 46-60, 2016 | 36 | 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 | 33 | 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 | 31 | 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 | 31 | 2006 |
| Extraction de séquences numériques dans des documents manuscrits quelconques C Chatelain PhD, 2006 | 30 | 2006 |
| Fast object detection in compressed jpeg images B Deguerre, C Chatelain, G Gasso 2019 IEEE intelligent transportation systems conference (ITSC), 333-338, 2019 | 28 | 2019 |
| A two-stage outlier rejection strategy for numerical field extraction in handwritten documents C Chatelain, L Heutte, T Paquet ICPR, 224-227, 2006 | 25 | 2006 |
Thierry PaquetUniversity of Rouen Normandy, LITISVerified email at univ-rouen.fr
