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Mohamed Ali Souibgui
Mohamed Ali Souibgui
Computer Vision Center, Universitat Autònoma de Barcelona
Dirección de correo verificada de cvc.uab.es - Página principal
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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
1002020
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
532022
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
422022
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
27*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
212021
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
14*2023
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
122022
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
122020
Privacy-Aware Document Visual Question Answering
R Tito, K Nguyen, M Tobaben, R Kerkouche, MA Souibgui, K Jung, ...
arXiv preprint arXiv:2312.10108, 2023
42023
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
42023
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
42021
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
32023
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
32022
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
22020
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
12023
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
12022
Unsupervised Alphabet Matching in Historical Encrypted Manuscript Images
J Chen, MA Souibgui, A Fornés, B Megyesi
International Conference on Historical Cryptology, 34-37, 2021
12021
Machine Unlearning for Document Classification
L Kang, MA Souibgui, F Yang, L Gomez, E Valveny, D Karatzas
arXiv preprint arXiv:2404.19031, 2024
2024
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
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