activity
20192023
most citedEnhance to Read Better: A Multi-Task Adversarial Network for Handwritten Document Image Enhancement

63 citations · 101 across the 11 of their papers we have counts for

collaborators

12 papers

cs.CV2023★ 4 cited

I Can't Believe It's Not Better: In-air Movement For Alzheimer Handwriting Synthetic Generation

Asma Bensalah, Antonio Parziale, Giuseppe De Gregorio +3

During recent years, there here has been a boom in terms of deep learning use for handwriting analysis and recognition. One main application for handwriting analysis is early detec…

cs.CV2022★ 1 cited

A Few Shot Multi-Representation Approach for N-gram Spotting in Historical Manuscripts

Giuseppe De Gregorio, Sanket Biswas, Mohamed Ali Souibgui +4

Despite recent advances in automatic text recognition, the performance remains moderate when it comes to historical manuscripts. This is mainly because of the scarcity of available…

cs.CV2022

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

Mohamed Ali Souibgui, Sanket Biswas, Andres Mafla +6

In this paper, we propose a Text-Degradation Invariant Auto Encoder (Text-DIAE), a self-supervised model designed to tackle two tasks, text recognition (handwritten or scene-text)…

cs.CV2022★ 2 cited

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

Mohamed Ali Souibgui, Sanket Biswas, Sana Khamekhem Jemni +4

Document images can be affected by many degradation scenarios, which cause recognition and processing difficulties. In this age of digitization, it is important to denoise them for…

cs.CV2021★ 63 cited

Enhance to Read Better: A Multi-Task Adversarial Network for Handwritten Document Image Enhancement

Sana Khamekhem Jemni, Mohamed Ali Souibgui, Yousri Kessentini +1

Handwritten document images can be highly affected by degradation for different reasons: Paper ageing, daily-life scenarios (wrinkles, dust, etc.), bad scanning process and so on.…

cs.CV2021

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

Mohamed Ali Souibgui, Ali Furkan Biten, Sounak Dey +5

Low resource Handwritten Text Recognition (HTR) is a hard problem due to the scarce annotated data and the very limited linguistic information (dictionaries and language models). F…