Mohamed Ali Souibgui

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Alicia FornesComputer Vision Center - UABVerified email at cvc.uab.es
Yousri KessentiniDigital Research Center of Sfax (CRNS), TunisiaVerified email at crns.rnrt.tn
Josep LladósComputer Vision Center, Universitat Autònoma de BarcelonaVerified email at cvc.uab.es
Sanket BiswasPh.D Candidate at Computer Vision Center, Universitat Autònoma de BarcelonaVerified email at cvc.uab.es
Beata MegyesiProfessor of computational linguistics, Stockholm UniversityVerified email at ling.su.se
Dimosthenis KaratzasComputer Vision Center, Universitat Autónoma de BarcelonaVerified email at cvc.uab.es
Lluis GomezPostdoctoral Researcher, Computer Vision Center, Universitat Autònoma de BarcelonaVerified email at cvc.uab.es
Ali Furkan BitenComputer Vision CenterVerified email at cvc.uab.es
Andres MaflaComputer Vision CenterVerified email at cvc.uab.es
Crina Tudorforskningsassistent, Uppsala UniversitetVerified email at lingfil.uu.se
Pau TorrasUniversitat Autonoma de BarcelonaVerified email at cvc.uab.cat
Sounak DeyAI Research Engineer, Helsing AIVerified email at helsing.ai
Marwa DHIAFPhD studentVerified email at enetcom.usf.tn
Ahmed Chiekh RouhouResearch Engineer at InstaDeep, Deep Learning Instructor (NVIDIA AMBASSADOR)Verified email at instadeep.com
Mario FritzFaculty CISPA Helmholtz Center for Information Security; Professor Saarland UniversityVerified email at cispa.de
Rubèn Pérez TitoPostdoctoral Researcher, Computer Vision Center, Universitat Autònoma de BarcelonaVerified email at cvc.uab.es
Antti HonkelaProfessor, University of HelsinkiVerified email at helsinki.fi
Raouf KerkouchePostdoctoral Researcher at CISPA – Helmholtz Center for Information SecurityVerified email at cispa.de
Marlon TobabenPhD student, University of HelsinkiVerified email at helsinki.fi

Mohamed Ali Souibgui

Computer Vision Center, Universitat Autònoma de Barcelona

Verified email at cvc.uab.es - Homepage

Artificial Intelligence Machine Learning Deep Learning Computer Vision Document Analysis


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De-gan: A conditional generative adversarial network for document enhancement MA Souibgui, Y Kessentini IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (3), 1180-1191, 2020	92	2020
Enhance to read better: a multi-task adversarial network for handwritten document image enhancement SK Jemni, MA Souibgui, Y Kessentini, A Fornés Pattern Recognition 123, 108370, 2022	47	2022
Docentr: An end-to-end document image enhancement transformer MA Souibgui, S Biswas, SK Jemni, Y Kessentini, A Fornés, J Lladós, ... 2022 26th International Conference on Pattern Recognition (ICPR), 1699-1705, 2022	39	2022
Few shots are all you need: A progressive learning approach for low resource handwritten text recognition MA Souibgui, A Fornés, Y Kessentini, B Megyesi Pattern Recognition Letters 160, 43-49, 2022	24*	2022
A few-shot learning approach for historical ciphered manuscript recognition MA Souibgui, A Fornés, Y Kessentini, C Tudor 2020 25th International Conference on Pattern Recognition (ICPR), 5413-5420, 2021	21	2021
One-shot compositional data generation for low resource handwritten text recognition MA Souibgui, AF Biten, S Dey, A Fornés, Y Kessentini, L Gomez, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022	12	2022
Text-diae: A self-supervised degradation invariant autoencoder for text recognition and document enhancement MA Souibgui, S Biswas, A Mafla, AF Biten, A Fornés, Y Kessentini, ... proceedings of the AAAI conference on artificial intelligence 37 (2), 2330-2338, 2023	10*	2023
A Conditional GAN Based Approach for Distorted Camera Captured Documents Recovery MA Souibgui, Y Kessentini, A Fornés Mediterranean Conference on Pattern Recognition and Artificial Intelligence, 2020	9	2020
A User Perspective on HTR Methods for the Automatic Transcription of Rare Scripts: The Case of Codex Runicus MA Souibgui, A Bensalah, J Chen, A Fornés, M Waldispühl ACM Journal on Computing and Cultural Heritage 15 (4), 1-18, 2023	4	2023
A transcription is all you need: Learning to align through attention P Torras, MA Souibgui, J Chen, A Fornés Document Analysis and Recognition–ICDAR 2021 Workshops: Lausanne …, 2021	4	2021
ST-KeyS: Self-Supervised Transformer for Keyword Spotting in Historical Handwritten Documents SK Jemni, S Ammar, MA Souibgui, Y Kessentini, A Cheddad arXiv preprint arXiv:2303.03127, 2023	2	2023
A Web-Based Interactive Transcription Tool for Encrypted Manuscripts J Chen, MA Souibgui, A Fornés, B Megyesi the 3rd International Conference on Historical Cryptology, 2020	2	2020
Privacy-Aware Document Visual Question Answering R Tito, K Nguyen, M Tobaben, R Kerkouche, MA Souibgui, K Jung, ... arXiv preprint arXiv:2312.10108, 2023	1	2023
CSSL-MHTR: Continual Self-Supervised Learning for Scalable Multi-script Handwritten Text Recognition M Dhiaf, MA Souibgui, K Wang, Y Liu, Y Kessentini, A Fornés, AC Rouhou arXiv preprint arXiv:2303.09347, 2023	1	2023
A Few Shot Multi-representation Approach for N-Gram Spotting in Historical Manuscripts G De Gregorio, S Biswas, MA Souibgui, A Bensalah, J Lladós, A Fornés, ... International Conference on Frontiers in Handwriting Recognition, 3-17, 2022	1	2022
Lost in Transcription of Graphic Signs in Ciphers G Magnifico, B Megyesi, MA Souibgui, J Chen, A Fornés International Conference on Historical Cryptology, 153-158, 2022	1	2022
An Evaluation of Handwritten Text Recognition Methods for Historical Ciphered Manuscripts MA Souibgui, P Torras, J Chen, A Fornés Proceedings of the 7th International Workshop on Historical Document Imaging …, 2023		2023
Segmentation-Free Alignment of Arbitrary Symbol Transcripts to Images P Torras, MA Souibgui, J Chen, S Biswas, A Fornés International Conference on Document Analysis and Recognition, 83-93, 2023		2023
Document Image Enhancement and Recognition in Low Resource Scenarios: Application to Ciphers and Handwritten Text MA Souibgui Universitat Autònoma de Barcelona, 2022		2022
Unsupervised Alphabet Matching in Historical Encrypted Manuscript Images J Chen, MA Souibgui, A Fornés, B Megyesi International Conference on Historical Cryptology, 34-37, 2021		2021

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