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Yousri Kessentini
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2020 – today
- 2024
- [j25]Tayeb Benzenati, Abdelaziz Kallel, Yousri Kessentini:
STF-Trans: A two-stream spatiotemporal fusion transformer for very high resolution satellites images. Neurocomputing 563: 126868 (2024) - [c37]Yessine Khanfir, Marwa Dhiaf, Emna Ghodhbani, Ahmed Cheikh Rouhou, Yousri Kessentini:
Graph Neural Networks for End-to-End Information Extraction from Handwritten Documents. WACV 2024: 493-501 - 2023
- [j24]Marwa Dhiaf, Ahmed Cheikh Rouhou, Yousri Kessentini, Sinda Ben Salem:
MSdocTr-Lite: A lite transformer for full page multi-script handwriting recognition. Pattern Recognit. Lett. 169: 28-34 (2023) - [j23]Tayeb Benzenati, Yousri Kessentini, Abdelaziz Kallel:
Spectral-Temporal Fusion of Satellite Images via an End-to-End Two-Stream Attention With an Effective Reconstruction Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 1308-1320 (2023) - [c36]Mohamed Ali Souibgui, Sanket Biswas, Andrés Mafla, Ali Furkan Biten, Alicia Fornés, Yousri Kessentini, Josep Lladós, Lluís Gómez, Dimosthenis Karatzas:
Text-DIAE: A Self-Supervised Degradation Invariant Autoencoder for Text Recognition and Document Enhancement. AAAI 2023: 2330-2338 - [c35]Ines Feki, Sourour Ammar, Yousri Kessentini:
SS-FL: Self-Supervised Federated Learning for COVID-19 Detection from Chest X-Ray Images. ICCCI (CCIS Volume) 2023: 702-714 - [i11]Sana Khamekhem Jemni, Sourour Ammar, Mohamed Ali Souibgui, Yousri Kessentini, Abbas Cheddad:
ST-KeyS: Self-Supervised Transformer for Keyword Spotting in Historical Handwritten Documents. CoRR abs/2303.03127 (2023) - [i10]Marwa Dhiaf, Ahmed Cheikh Rouhou, Yousri Kessentini, Sinda Ben Salem:
MSdocTr-Lite: A Lite Transformer for Full Page Multi-script Handwriting Recognition. CoRR abs/2303.13931 (2023) - [i9]Mahmoud Limam, Marwa Dhiaf, Yousri Kessentini:
FATURA: A Multi-Layout Invoice Image Dataset for Document Analysis and Understanding. CoRR abs/2311.11856 (2023) - 2022
- [j22]Tayeb Benzenati, Yousri Kessentini, Abdelaziz Kallel:
Pansharpening approach via two-stream detail injection based on relativistic generative adversarial networks. Expert Syst. Appl. 188: 115996 (2022) - [j21]Mahmoud Ghorbel, Sourour Ammar, Yousri Kessentini, Mohamed Jmaiel:
Masking for better discovery: Weakly supervised complementary body regions mining for person re-identification. Expert Syst. Appl. 197: 116636 (2022) - [j20]Sana Khamekhem Jemni, Sourour Ammar, Yousri Kessentini:
Domain and writer adaptation of offline Arabic handwriting recognition using deep neural networks. Neural Comput. Appl. 34(3): 2055-2071 (2022) - [j19]Yousri Kessentini, Hamid Laga, Hedi Tabia:
Editorial for topical collections on emerging trends in artificial intelligence and machine learning. Neural Comput. Appl. 34(17): 14121 (2022) - [j18]Mohamed Ali Souibgui, Yousri Kessentini:
DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1180-1191 (2022) - [j17]Sana Khamekhem Jemni, Mohamed Ali Souibgui, Yousri Kessentini, Alicia Fornés:
Enhance to read better: A Multi-Task Adversarial Network for Handwritten Document Image Enhancement. Pattern Recognit. 123: 108370 (2022) - [j16]Ahmed Cheikh Rouhou, Marwa Dhiaf, Yousri Kessentini, Sinda Ben Salem:
Transformer-based approach for joint handwriting and named entity recognition in historical document. Pattern Recognit. Lett. 155: 128-134 (2022) - [j15]Abbas Cheddad, Akram Bennour, Yousri Kessentini:
Introduction to the special section on intelligent systems and pattern recognition (SS: ISPR20). Pattern Recognit. Lett. 156: 190-191 (2022) - [j14]Mohamed Ali Souibgui, Alicia Fornés, Yousri Kessentini, Beáta Megyesi:
Few shots are all you need: A progressive learning approach for low resource handwritten text recognition. Pattern Recognit. Lett. 160: 43-49 (2022) - [c34]Mohamed Ali Souibgui, Sanket Biswas, Sana Khamekhem Jemni, Yousri Kessentini, Alicia Fornés, Josep Lladós, Umapada Pal:
DocEnTr: An End-to-End Document Image Enhancement Transformer. ICPR 2022: 1699-1705 - [c33]Ines Feki, Sourour Ammar, Yousri Kessentini:
Self-supervised Learning for COVID-19 Detection from Chest X-ray Images. ISPR 2022: 78-89 - [c32]Mohamed Ali Souibgui, Ali Furkan Biten, Sounak Dey, Alicia Fornés, Yousri Kessentini, Lluís Gómez, Dimosthenis Karatzas, Josep Lladós:
One-shot Compositional Data Generation for Low Resource Handwritten Text Recognition. WACV 2022: 2563-2571 - [e2]Akram Bennour, Tolga Ensari, Yousri Kessentini, Sean Eom:
Intelligent Systems and Pattern Recognition - Second International Conference, ISPR 2022, Hammamet, Tunisia, March 24-26, 2022, Revised Selected Papers. Communications in Computer and Information Science 1589, Springer 2022, ISBN 978-3-031-08276-4 [contents] - [i8]Mohamed Ali Souibgui, Sanket Biswas, Sana Khamekhem Jemni, Yousri Kessentini, Alicia Fornés, Josep Lladós, Umapada Pal:
DocEnTr: An End-to-End Document Image Enhancement Transformer. CoRR abs/2201.10252 (2022) - [i7]Mohamed Ali Souibgui, Sanket Biswas, Andrés Mafla, Ali Furkan Biten, Alicia Fornés, Yousri Kessentini, Josep Lladós, Lluís Gómez, Dimosthenis Karatzas:
Text-DIAE: Degradation Invariant Autoencoders for Text Recognition and Document Enhancement. CoRR abs/2203.04814 (2022) - 2021
- [j13]Ines Feki, Sourour Ammar, Yousri Kessentini, Khan Muhammad:
Federated learning for COVID-19 screening from Chest X-ray images. Appl. Soft Comput. 106: 107330 (2021) - [j12]Nabila Mansouri, Sourour Ammar, Yousri Kessentini:
Re-ranking Person Re-identification using Attributes Learning. Neural Comput. Appl. 33(19): 12827-12843 (2021) - [j11]Ahmed Cheikhrouhou, Yousri Kessentini, Slim Kanoun:
Multi-task learning for simultaneous script identification and keyword spotting in document images. Pattern Recognit. 113: 107832 (2021) - [j10]Tayeb Benzenati, Abdelaziz Kallel, Yousri Kessentini:
Two Stages Pan-Sharpening Details Injection Approach Based on Very Deep Residual Networks. IEEE Trans. Geosci. Remote. Sens. 59(6): 4984-4992 (2021) - [c31]Mohamed Dhia Elhak Besbes, Hedi Tabia, Yousri Kessentini, Bassem Ben Hamed:
Progressive Learning With Anchoring Regularization For Vehicle Re-Identification. ICIP 2021: 1154-1158 - [c30]Marwa Dhiaf, Sana Khamekhem Jemni, Yousri Kessentini:
DocNER: A Deep Learning System for Named Entity Recognition in Handwritten Document Images. ICONIP (6) 2021: 239-246 - [e1]Chawki Djeddi, Yousri Kessentini, Imran Siddiqi, Mohamed Jmaiel:
Pattern Recognition and Artificial Intelligence - 4th Mediterranean Conference, MedPRAI 2020, Hammamet, Tunisia, December 20-22, 2020, Proceedings. Communications in Computer and Information Science 1322, Springer 2021, ISBN 978-3-030-71803-9 [contents] - [i6]Mohamed Ali Souibgui, Ali Furkan Biten, Sounak Dey, Alicia Fornés, Yousri Kessentini, Lluís Gómez, Dimosthenis Karatzas, Josep Lladós:
One-shot Compositional Data Generation for Low Resource Handwritten Text Recognition. CoRR abs/2105.05300 (2021) - [i5]Sana Khamekhem Jemni, Mohamed Ali Souibgui, Yousri Kessentini, Alicia Fornés:
Enhance to Read Better: An Improved Generative Adversarial Network for Handwritten Document Image Enhancement. CoRR abs/2105.12710 (2021) - [i4]Mohamed Ali Souibgui, Alicia Fornés, Yousri Kessentini, Beáta Megyesi:
Few Shots Is All You Need: A Progressive Few Shot Learning Approach for Low Resource Handwriting Recognition. CoRR abs/2107.10064 (2021) - [i3]Ahmed Cheikh Rouhou, Marwa Dhiaf, Yousri Kessentini, Sinda Ben Salem:
Transformer-Based Approach for Joint Handwriting and Named Entity Recognition in Historical documents. CoRR abs/2112.04189 (2021) - 2020
- [j9]Sana Khamekhem Jemni, Yousri Kessentini, Slim Kanoun:
Improving Recurrent Neural Networks for Offline Arabic Handwriting Recognition by Combining Different Language Models. Int. J. Pattern Recognit. Artif. Intell. 34(12): 2052007:1-2052007:29 (2020) - [j8]Tayeb Benzenati, Yousri Kessentini, Abdelaziz Kallel, Hind Hallabia:
Generalized Laplacian Pyramid Pan-Sharpening Gain Injection Prediction Based on CNN. IEEE Geosci. Remote. Sens. Lett. 17(4): 651-655 (2020) - [j7]Ahmed Cheikhrouhou, Yousri Kessentini, Slim Kanoun:
Hybrid HMM/BLSTM system for multi-script keyword spotting in printed and handwritten documents with identification stage. Neural Comput. Appl. 32(13): 9201-9215 (2020) - [c29]Mohamed Ali Souibgui, Alicia Fornés, Yousri Kessentini, Crina Tudor:
A Few-shot Learning Approach for Historical Ciphered Manuscript Recognition. ICPR 2020: 5413-5420 - [c28]Tayeb Benzenati, Abdelaziz Kallel, Yousri Kessentini:
End-to-End Spectral-Temporal Fusion Using Convolutional Neural Network. MedPRAI 2020: 60-72 - [c27]Mahmoud Ghorbel, Sourour Ammar, Yousri Kessentini, Mohamed Jmaiel, Ahmed Chaari:
Fusing Local and Global Features for Person Re-identification Using Multi-stream Deep Neural Networks. MedPRAI 2020: 73-85 - [c26]Ilef Ben Slima, Sourour Ammar, Mahmoud Ghorbel, Yousri Kessentini:
Possibilistic Classifier Combination for Person Re-identification. MedPRAI 2020: 98-111 - [c25]Mohamed Ali Souibgui, Yousri Kessentini, Alicia Fornés:
A Conditional GAN Based Approach for Distorted Camera Captured Documents Recovery. MedPRAI 2020: 215-228 - [c24]Mohamed Dhia Besbes, Yousri Kessentini, Hedi Tabia:
Multi-stream Deep Networks for Vehicle Make and Model Recognition. VISIGRAPP (5: VISAPP) 2020: 413-419 - [i2]Mohamed Ali Souibgui, Alicia Fornés, Yousri Kessentini, Crina Tudor:
A Few-shot Learning Approach for Historical Ciphered Manuscript Recognition. CoRR abs/2009.12577 (2020) - [i1]Mohamed Ali Souibgui, Yousri Kessentini:
DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement. CoRR abs/2010.08764 (2020)
2010 – 2019
- 2019
- [j6]Yousri Kessentini, Mohamed Dhia Besbes, Sourour Ammar, Achraf Chabbouh:
A two-stage deep neural network for multi-norm license plate detection and recognition. Expert Syst. Appl. 136: 159-170 (2019) - [j5]Sana Khamekhem Jemni, Yousri Kessentini, Slim Kanoun:
Out of vocabulary word detection and recovery in Arabic handwritten text recognition. Pattern Recognit. 93: 507-520 (2019) - [c23]Nabila Mansouri, Sourour Ammar, Yousri Kessentini:
Improving Person Re-Identification by Combining Siamese Convolutional Neural Network and Re-Ranking Process. AVSS 2019: 1-8 - [c22]Ahmed Cheikh Rouhou, Yousri Kessentini, Slim Kanoun:
Hybrid HMM/DNN System for Arabic Handwriting Keyword Spotting. ICIAR (1) 2019: 216-227 - [c21]Ahmed Cheikh Rouhou, Yousri Kessentini, Slim Kanoun:
HMM Based Keyword Spotting System in Printed/Handwritten Arabic/Latin Documents with Identification Stage. ICIAR (1) 2019: 309-320 - [c20]Mahmoud Ghorbel, Sourour Ammar, Yousri Kessentini, Mohamed Jmaiel:
Improving Person Re-identification by Background Subtraction Using Two-Stream Convolutional Networks. ICIAR (1) 2019: 345-356 - [c19]Afef Mdhaffar, Fedi Cherif, Yousri Kessentini, Manel Maalej, Jihen Ben Thabet, Mohamed Maalej, Mohamed Jmaiel, Bernd Freisleben:
DL4DED: Deep Learning for Depressive Episode Detection on Mobile Devices. ICOST 2019: 109-121 - 2018
- [j4]Yousri Kessentini, Sana BenAbderrahim, Chawki Djeddi:
Evidential combination of SVM classifiers for writer recognition. Neurocomputing 313: 1-13 (2018) - [c18]Sana Khamekhem Jemni, Yousri Kessentini, Slim Kanoun, Jean-Marc Ogier:
Offline Arabic Handwriting Recognition Using BLSTMs Combination. DAS 2018: 31-36 - 2016
- [c17]Sana Khamekhem Jemni, Yousri Kessentini, Slim Kanoun:
Benchmarking Post-processing Techniques for Offline Arabic Text Recognition System. HIS 2016: 267-277 - [c16]Ahmed Cheikh Rouhou, Zeineb Abdelhedi, Yousri Kessentini:
A HMM-Based Arabic/Latin Handwritten/Printed Identification System. HIS 2016: 298-307 - [c15]Fatma Chabchoub, Yousri Kessentini, Slim Kanoun, Véronique Eglin, Frank Lebourgeois:
SmartATID: A Mobile Captured Arabic Text Images Dataset for Multi-purpose Recognition Tasks. ICFHR 2016: 120-125 - [c14]Hanen Khlif, Sophea Prum, Yousri Kessentini, Slim Kanoun, Jean-Marc Ogier:
Fusion of Explicit Segmentation Based System and Segmentation-Free Based System for On-Line Arabic Handwritten Word Recognition. ICFHR 2016: 399-404 - [c13]Amira Naimi, Yousri Kessentini, Mohamed Hammami:
Multi-nation and Multi-norm License Plates Detection in Real Traffic Surveillance Environment Using Deep Learning. ICONIP (2) 2016: 462-469 - 2015
- [j3]Simon Thomas, Clément Chatelain, Laurent Heutte, Thierry Paquet, Yousri Kessentini:
A deep HMM model for multiple keywords spotting in handwritten documents. Pattern Anal. Appl. 18(4): 1003-1015 (2015) - [j2]Yousri Kessentini, Thomas Burger, Thierry Paquet:
A Dempster-Shafer Theory based combination of handwriting recognition systems with multiple rejection strategies. Pattern Recognit. 48(2): 534-544 (2015) - [c12]Yousri Kessentini, Thierry Paquet:
Keyword spotting in handwritten documents based on a generic text line HMM and a SVM verification. ICDAR 2015: 41-45 - 2013
- [c11]Yousri Kessentini, Clément Chatelain, Thierry Paquet:
Word Spotting and Regular Expression Detection in Handwritten Documents. ICDAR 2013: 516-520 - 2011
- [c10]Yousri Kessentini, Thomas Burger, Thierry Paquet:
Constructing Dynamic Frames of Discernment in Cases of Large Number of Classes. ECSQARU 2011: 275-286 - [c9]Yousri Kessentini, Thierry Paquet, Ahmed Guermazi:
An Optimized Multi-stream Decoding Algorithm for Handwritten Word Recognition. ICDAR 2011: 192-196 - [c8]Thomas Burger, Yousri Kessentini, Thierry Paquet:
Dempster-Shafer Based Rejection Strategy for Handwritten Word Recognition. ICDAR 2011: 528-532 - [c7]Bassem Besbes, Sonda Ammar, Yousri Kessentini, Alexandrina Rogozan, Abdelaziz Bensrhair:
Evidential combination of SVM road obstacle classifiers in visible and far infrared images. Intelligent Vehicles Symposium 2011: 1074-1079 - 2010
- [j1]Yousri Kessentini, Thierry Paquet, Abdelmajid Ben Hamadou:
Off-line handwritten word recognition using multi-stream hidden Markov models. Pattern Recognit. Lett. 31(1): 60-70 (2010) - [c6]Thomas Burger, Yousri Kessentini, Thierry Paquet:
Dealing with Precise and Imprecise Decisions with a Dempster-Shafer Theory Based Algorithm in the Context of Handwritten Word Recognition. ICFHR 2010: 369-374 - [c5]Yousri Kessentini, Thomas Burger, Thierry Paquet:
Evidential Combination of Multiple HMM Classifiers for Multi-script Handwritting Recognition. IPMU 2010: 445-454
2000 – 2009
- 2009
- [b1]Yousri Kessentini:
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). University of Rouen, France, 2009 - [c4]Yousri Kessentini, Thierry Paquet, Abdelmajid Ben Hamadou:
A Multi-Lingual Recognition System for Arabic and Latin Handwriting. ICDAR 2009: 1196-1200 - 2008
- [c3]Yousri Kessentini, Thierry Paquet, Abdelmajid Ben Hamadou:
Multi-script handwriting recognition with N-streams low level features. ICPR 2008: 1-4 - 2007
- [c2]Yousri Kessentini, Thierry Paquet, Abdelmajid Ben Hamadou:
A Multi-stream Approach to Off-Line Handwritten Word Recognition. ICDAR 2007: 317-321 - 2005
- [c1]Stéphane Nicolas, Yousri Kessentini, Thierry Paquet, Laurent Heutte:
Handwritten Document Segmentation Using Hidden Markov Random Fields. ICDAR 2005: 212-216
Coauthor Index
aka: Ahmed Cheikh Rouhou
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last updated on 2024-08-05 21:16 CEST by the dblp team
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