Mohamed Ali Souibgui

According to our database, Mohamed Ali Souibgui authored at least 23 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Document Image Enhancement and Recognition in Low Resource Scenarios: Application to Ciphers and Handwritten Text

Mohamed Ali Souibgui

PhD thesis, 2023

Privacy-Aware Document Visual Question Answering.

Rubèn Tito, Khanh Nguyen, Marlon Tobaben, Raouf Kerkouche, Mohamed Ali Souibgui, Kangsoo Jung, Lei Kang, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas

CoRR, 2023

CSSL-MHTR: Continual Self-Supervised Learning for Scalable Multi-script Handwritten Text Recognition.

Marwa Dhiaf, Mohamed Ali Souibgui, Kai Wang, Yuyang Liu, Yousri Kessentini, Alicia Fornés, Ahmed Cheikh Rouhou

CoRR, 2023

ST-KeyS: Self-Supervised Transformer for Keyword Spotting in Historical Handwritten Documents.

Sana Khamekhem Jemni, Sourour Ammar, Mohamed Ali Souibgui, Yousri Kessentini, Abbas Cheddad

CoRR, 2023

Segmentation-Free Alignment of Arbitrary Symbol Transcripts to Images.

Pau Torras, Mohamed Ali Souibgui, Jialuo Chen, Sanket Biswas, Alicia Fornés

Proceedings of the Document Analysis and Recognition - ICDAR 2023 Workshops, 2023

An Evaluation of Handwritten Text Recognition Methods for Historical Ciphered Manuscripts.

Mohamed Ali Souibgui, Pau Torras, Jialuo Chen, Alicia Fornés

Proceedings of the 7th International Workshop on Historical Document Imaging and Processing, 2023

Text-DIAE: A Self-Supervised Degradation Invariant Autoencoder for Text Recognition and Document Enhancement.

Mohamed Ali Souibgui, Sanket Biswas, Andrés Mafla, Ali Furkan Biten, Alicia Fornés, Yousri Kessentini, Josep Lladós, Lluís Gómez, Dimosthenis Karatzas

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A User Perspective on HTR Methods for the Automatic Transcription of Rare Scripts: The Case of <i>Codex Runicus</i>.

Mohamed Ali Souibgui, Asma Bensalah, Jialuo Chen, Alicia Fornés, Michelle Waldispühl

ACM Journal on Computing and Cultural Heritage, December, 2022

Few shots are all you need: A progressive learning approach for low resource handwritten text recognition.

Mohamed Ali Souibgui, Alicia Fornés, Yousri Kessentini, Beáta Megyesi

Pattern Recognit. Lett., 2022

Enhance to read better: A Multi-Task Adversarial Network for Handwritten Document Image Enhancement.

Sana Khamekhem Jemni, Mohamed Ali Souibgui, Yousri Kessentini, Alicia Fornés

Pattern Recognit., 2022

DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement.

Mohamed Ali Souibgui, Yousri Kessentini

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Text-DIAE: Degradation Invariant Autoencoders for Text Recognition and Document Enhancement.

Mohamed Ali Souibgui, Sanket Biswas, Andrés Mafla, Ali Furkan Biten, Alicia Fornés, Yousri Kessentini, Josep Lladós, Lluís Gómez, Dimosthenis Karatzas

CoRR, 2022

One-shot Compositional Data Generation for Low Resource Handwritten Text Recognition.

Mohamed Ali Souibgui, Ali Furkan Biten, Sounak Dey, Alicia Fornés, Yousri Kessentini, Lluís Gómez, Dimosthenis Karatzas, Josep Lladós

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

DocEnTr: An End-to-End Document Image Enhancement Transformer.

Mohamed Ali Souibgui, Sanket Biswas, Sana Khamekhem Jemni, Yousri Kessentini, Alicia Fornés, Josep Lladós, Umapada Pal

Proceedings of the 26th International Conference on Pattern Recognition, 2022

A Few Shot Multi-representation Approach for N-Gram Spotting in Historical Manuscripts.

Giuseppe De Gregorio, Sanket Biswas, Mohamed Ali Souibgui, Asma Bensalah, Josep Lladós, Alicia Fornés, Angelo Marcelli

Proceedings of the Frontiers in Handwriting Recognition - 18th International Conference, 2022

Lost in Transcription of Graphic Signs in Ciphers.

Giacomo Magnifico, Beáta Megyesi, Mohamed Ali Souibgui, Jialuo Chen, Alicia Fornés

Proceedings of the 5th International Conference on Historical Cryptology, 2022

2021

Few Shots Is All You Need: A Progressive Few Shot Learning Approach for Low Resource Handwriting Recognition.

Mohamed Ali Souibgui, Alicia Fornés, Yousri Kessentini, Beáta Megyesi

CoRR, 2021

Enhance to Read Better: An Improved Generative Adversarial Network for Handwritten Document Image Enhancement.

Sana Khamekhem Jemni, Mohamed Ali Souibgui, Yousri Kessentini, Alicia Fornés

CoRR, 2021

A Transcription Is All You Need: Learning to Align Through Attention.

Pau Torras, Mohamed Ali Souibgui, Jialuo Chen, Alicia Fornés

Proceedings of the Document Analysis and Recognition, 2021

Unsupervised Alphabet Matching in Historical Encrypted Manuscript Images.

Jialuo Chen, Mohamed Ali Souibgui, Alicia Fornés, Beáta Megyesi

Proceedings of the 4th International Conference on Historical Cryptology, 2021

2020

A Conditional GAN Based Approach for Distorted Camera Captured Documents Recovery.

Mohamed Ali Souibgui, Yousri Kessentini, Alicia Fornés

Proceedings of the Pattern Recognition and Artificial Intelligence, 2020

A Few-shot Learning Approach for Historical Ciphered Manuscript Recognition.

Mohamed Ali Souibgui, Alicia Fornés, Yousri Kessentini, Crina Tudor

Proceedings of the 25th International Conference on Pattern Recognition, 2020

A Web-based Interactive Transcription Tool for Encrypted Manuscripts.

Jialuo Chen, Mohamed Ali Souibgui, Alicia Fornés, Beáta Megyesi

Proceedings of the 3rd International Conference on Historical Cryptology, 2020