Yousri Kessentini - researchr alias

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Viewing Publication 1 - 63 from 63

2024

STF-Trans: A two-stream spatiotemporal fusion transformer for very high resolution satellites imagesTayeb Benzenati, Abdelaziz Kallel, Yousri Kessentini. ijon, 563:126868, January 2024. [doi]

Graph Neural Networks for End-to-End Information Extraction from Handwritten DocumentsYessine Khanfir, Marwa Dhiaf, Emna Ghodhbani, Ahmed Cheikh Rouhou, Yousri Kessentini. wacv 2024: 493-501 [doi]

2023

Spectral-Temporal Fusion of Satellite Images via an End-to-End Two-Stream Attention With an Effective Reconstruction NetworkTayeb Benzenati, Yousri Kessentini, Abdelaziz Kallel. staeors, 16:1308-1320, 2023. [doi]

MSdocTr-Lite: A lite transformer for full page multi-script handwriting recognitionMarwa Dhiaf, Ahmed Cheikh Rouhou, Yousri Kessentini, Sinda Ben Salem. prl, 169:28-34, May 2023. [doi]

SS-FL: Self-Supervised Federated Learning for COVID-19 Detection from Chest X-Ray ImagesInes Feki, Sourour Ammar, Yousri Kessentini. iccci 2023: 702-714 [doi]

Text-DIAE: A Self-Supervised Degradation Invariant Autoencoder for Text Recognition and Document EnhancementMohamed Ali Souibgui, Sanket Biswas, Andrés Mafla, Ali Furkan Biten, Alicia Fornés, Yousri Kessentini, Josep Lladós 0001, Lluís Gómez, Dimosthenis Karatzas. AAAI 2023: 2330-2338 [doi]

2022

Pansharpening approach via two-stream detail injection based on relativistic generative adversarial networksTayeb Benzenati, Yousri Kessentini, Abdelaziz Kallel. eswa, 188:115996, 2022. [doi]

Introduction to the special section on intelligent systems and pattern recognition (SS: ISPR20)Abbas Cheddad, Akram Bennour, Yousri Kessentini. prl, 156:190-191, 2022. [doi]

Self-supervised Learning for COVID-19 Detection from Chest X-ray ImagesInes Feki, Sourour Ammar, Yousri Kessentini. ispr 2022: 78-89 [doi]

Masking for better discovery: Weakly supervised complementary body regions mining for person re-identificationMahmoud Ghorbel, Sourour Ammar, Yousri Kessentini, Mohamed Jmaiel. eswa, 197:116636, 2022. [doi]

Enhance to read better: A Multi-Task Adversarial Network for Handwritten Document Image EnhancementSana Khamekhem Jemni, Mohamed Ali Souibgui, Yousri Kessentini, Alicia Fornés. PR, 123:108370, 2022. [doi]

Domain and writer adaptation of offline Arabic handwriting recognition using deep neural networksSana Khamekhem Jemni, Sourour Ammar, Yousri Kessentini. nca, 34(3):2055-2071, 2022. [doi]

Editorial for topical collections on emerging trends in artificial intelligence and machine learningYousri Kessentini, Hamid Laga, Hedi Tabia. nca, 34(17):14121, 2022. [doi]

Transformer-based approach for joint handwriting and named entity recognition in historical documentAhmed Cheikh Rouhou, Marwa Dhiaf, Yousri Kessentini, Sinda Ben Salem. prl, 155:128-134, 2022. [doi]

Few shots are all you need: A progressive learning approach for low resource handwritten text recognitionMohamed Ali Souibgui, Alicia Fornés, Yousri Kessentini, Beáta Megyesi. prl, 160:43-49, 2022. [doi]

DE-GAN: A Conditional Generative Adversarial Network for Document EnhancementMohamed Ali Souibgui, Yousri Kessentini. pami, 44(3):1180-1191, 2022. [doi]

DocEnTr: An End-to-End Document Image Enhancement TransformerMohamed Ali Souibgui, Sanket Biswas, Sana Khamekhem Jemni, Yousri Kessentini, Alicia Fornés, Josep Lladós 0001, Umapada Pal 0001. icpr 2022: 1699-1705 [doi]

One-shot Compositional Data Generation for Low Resource Handwritten Text RecognitionMohamed Ali Souibgui, Ali Furkan Biten, Sounak Dey, Alicia Fornés, Yousri Kessentini, Lluís Gómez, Dimosthenis Karatzas, Josep Lladós 0001. wacv 2022: 2563-2571 [doi]

2021

Two Stages Pan-Sharpening Details Injection Approach Based on Very Deep Residual NetworksTayeb Benzenati, Abdelaziz Kallel, Yousri Kessentini. tgrs, 59(6):4984-4992, 2021. [doi]

Progressive Learning With Anchoring Regularization For Vehicle Re-IdentificationMohamed Dhia Elhak Besbes, Hedi Tabia, Yousri Kessentini, Bassem Ben Hamed. icip 2021: 1154-1158 [doi]

Multi-task learning for simultaneous script identification and keyword spotting in document imagesAhmed Cheikhrouhou, Yousri Kessentini, Slim Kanoun. PR, 113:107832, 2021. [doi]

DocNER: A Deep Learning System for Named Entity Recognition in Handwritten Document ImagesMarwa Dhiaf, Sana Khamekhem Jemni, Yousri Kessentini. iconip 2021: 239-246 [doi]

Federated learning for COVID-19 screening from Chest X-ray imagesInes Feki, Sourour Ammar, Yousri Kessentini, Khan Muhammad. asc, 106:107330, 2021. [doi]

Re-ranking Person Re-identification using Attributes LearningNabila Mansouri, Sourour Ammar, Yousri Kessentini. nca, 33(19):12827-12843, 2021. [doi]

2020

End-to-End Spectral-Temporal Fusion Using Convolutional Neural NetworkTayeb Benzenati, Abdelaziz Kallel, Yousri Kessentini. medprai 2021: 60-72 [doi]

Generalized Laplacian Pyramid Pan-Sharpening Gain Injection Prediction Based on CNNTayeb Benzenati, Yousri Kessentini, Abdelaziz Kallel, Hind Hallabia. lgrs, 17(4):651-655, 2020. [doi]

Multi-stream Deep Networks for Vehicle Make and Model RecognitionMohamed Dhia Besbes, Yousri Kessentini, Hedi Tabia. visapp 2020: 413-419 [doi]

Hybrid HMM/BLSTM system for multi-script keyword spotting in printed and handwritten documents with identification stageAhmed Cheikhrouhou, Yousri Kessentini, Slim Kanoun. nca, 32(13):9201-9215, 2020. [doi]

Fusing Local and Global Features for Person Re-identification Using Multi-stream Deep Neural NetworksMahmoud Ghorbel, Sourour Ammar, Yousri Kessentini, Mohamed Jmaiel, Ahmed Chaari. medprai 2021: 73-85 [doi]

Improving Recurrent Neural Networks for Offline Arabic Handwriting Recognition by Combining Different Language ModelsSana Khamekhem Jemni, Yousri Kessentini, Slim Kanoun. ijprai, 34(12), 2020. [doi]

Possibilistic Classifier Combination for Person Re-identificationIlef Ben Slima, Sourour Ammar, Mahmoud Ghorbel, Yousri Kessentini. medprai 2021: 98-111 [doi]

A Conditional GAN Based Approach for Distorted Camera Captured Documents RecoveryMohamed Ali Souibgui, Yousri Kessentini, Alicia Fornés. medprai 2021: 215-228 [doi]

A Few-shot Learning Approach for Historical Ciphered Manuscript RecognitionMohamed Ali Souibgui, Alicia Fornés, Yousri Kessentini, Crina Tudor. icpr 2021: 5413-5420 [doi]

2019

Improving Person Re-identification by Background Subtraction Using Two-Stream Convolutional NetworksMahmoud Ghorbel, Sourour Ammar, Yousri Kessentini, Mohamed Jmaiel. iciar 2019: 345-356 [doi]

Out of vocabulary word detection and recovery in Arabic handwritten text recognitionSana Khamekhem Jemni, Yousri Kessentini, Slim Kanoun. PR, 93:507-520, 2019. [doi]

A two-stage deep neural network for multi-norm license plate detection and recognitionYousri Kessentini, Mohamed Dhia Besbes, Sourour Ammar, Achraf Chabbouh. eswa, 136:159-170, 2019. [doi]

Improving Person Re-Identification by Combining Siamese Convolutional Neural Network and Re-Ranking ProcessNabila Mansouri, Sourour Ammar, Yousri Kessentini. avss 2019: 1-8 [doi]

DL4DED: Deep Learning for Depressive Episode Detection on Mobile DevicesAfef Mdhaffar, Fedi Cherif, Yousri Kessentini, Manel Maalej, Jihen Ben Thabet, Mohamed Maalej, Mohamed Jmaiel, Bernd Freisleben. icost 2019: 109-121 [doi]

Hybrid HMM/DNN System for Arabic Handwriting Keyword SpottingAhmed Cheikh Rouhou, Yousri Kessentini, Slim Kanoun. iciar 2019: 216-227 [doi]

HMM Based Keyword Spotting System in Printed/Handwritten Arabic/Latin Documents with Identification StageAhmed Cheikh Rouhou, Yousri Kessentini, Slim Kanoun. iciar 2019: 309-320 [doi]

2018

Offline Arabic Handwriting Recognition Using BLSTMs CombinationSana Khamekhem Jemni, Yousri Kessentini, Slim Kanoun, Jean-Marc Ogier. das 2018: 31-36 [doi]

Evidential combination of SVM classifiers for writer recognitionYousri Kessentini, Sana BenAbderrahim, Chawki Djeddi. ijon, 313:1-13, 2018. [doi]

2016

SmartATID: A Mobile Captured Arabic Text Images Dataset for Multi-purpose Recognition TasksFatma Chabchoub, Yousri Kessentini, Slim Kanoun, Véronique Eglin, Frank Lebourgeois. icfhr 2016: 120-125 [doi]

Benchmarking Post-processing Techniques for Offline Arabic Text Recognition SystemSana Khamekhem Jemni, Yousri Kessentini, Slim Kanoun. his 2017: 267-277 [doi]

Fusion of Explicit Segmentation Based System and Segmentation-Free Based System for On-Line Arabic Handwritten Word RecognitionHanen Khlif, Sophea Prum, Yousri Kessentini, Slim Kanoun, Jean-Marc Ogier. icfhr 2016: 399-404 [doi]

Multi-nation and Multi-norm License Plates Detection in Real Traffic Surveillance Environment Using Deep LearningAmira Naimi, Yousri Kessentini, Mohamed Hammami. iconip 2016: 462-469 [doi]

A HMM-Based Arabic/Latin Handwritten/Printed Identification SystemAhmed Cheikh Rouhou, Zeineb Abdelhedi, Yousri Kessentini. his 2017: 298-307 [doi]

2015

Keyword spotting in handwritten documents based on a generic text line HMM and a SVM verificationYousri Kessentini, Thierry Paquet. icdar 2015: 41-45 [doi]

A Dempster-Shafer Theory based combination of handwriting recognition systems with multiple rejection strategiesYousri Kessentini, Thomas Burger, Thierry Paquet. PR, 48(2):534-544, 2015. [doi]

A deep HMM model for multiple keywords spotting in handwritten documentsSimon Thomas, Clément Chatelain, Laurent Heutte, Thierry Paquet, Yousri Kessentini. paa, 18(4):1003-1015, 2015. [doi]

2013

Word Spotting and Regular Expression Detection in Handwritten DocumentsYousri Kessentini, Clément Chatelain, Thierry Paquet. icdar 2013: 516-520 [doi]

2011

2010

Dealing with Precise and Imprecise Decisions with a Dempster-Shafer Theory Based Algorithm in the Context of Handwritten Word RecognitionThomas Burger, Yousri Kessentini, Thierry Paquet. icfhr 2010: 369-374 [doi]

Evidential Combination of Multiple HMM Classifiers for Multi-script Handwritting RecognitionYousri Kessentini, Thomas Burger, Thierry Paquet. ipmu 2010: 445-454 [doi]

Off-line handwritten word recognition using multi-stream hidden Markov modelsYousri Kessentini, Thierry Paquet, Abdelmajid Ben Hamadou. prl, 31(1):60-70, 2010. [doi]

2009

Modèles de Markov multi-flux pour la reconnaissance de l'écriture manuscrite multi-scripts. (Off-Line Handwritten Word Recognition Using Multi-Stream Hidden Markov Models)Yousri Kessentini. PhD thesis, University of Rouen, France, 2009. [doi]

A Multi-Lingual Recognition System for Arabic and Latin HandwritingYousri Kessentini, Thierry Paquet, Abdelmajid Ben Hamadou. icdar 2009: 1196-1200 [doi]

2008

Multi-script handwriting recognition with N-streams low level featuresYousri Kessentini, Thierry Paquet, Abdelmajid Benhamadou. icpr 2008: 1-4 [doi]

2007

A Multi-stream Approach to Off-Line Handwritten Word RecognitionYousri Kessentini, Thierry Paquet, Abdelmajid Benhamadou. icdar 2007: 317-321 [doi]

2005

Handwritten Document Segmentation Using Hidden Markov Random FieldsStéphane Nicolas, Yousri Kessentini, Thierry Paquet, Laurent Heutte. icdar 2005: 212-216 [doi]

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