Profile Yousri Kessentini

First Name
Yousri

Last Name
Kessentini

Address
Technopole of Sfax, PO Box 275, Sakiet Ezzit, 3021 Sfax - Tunisia

Zip code
3038

Biography
Yousri KESSENTINI is Associate Professor at the Digital Research Center of Sfax (CRNS) and the head of the DeepVision research team. He received his Ph.D. degree in the field of pattern recognition from the University of Rouen, France in 2009. He was postdoctoral researcher at ITESOFT company and LITIS laboratory from 2011 to 2013. He is certified as an official instructor and ambassador from the NVIDIA Deep Learning Institute. His main research areas concern deep learning, document processing and recognition, data fusion, and computer vision. He has participated in several research projects and technology transfer projects. He has published more than 60 papers in international conferences and journals. He is also a reviewer for several international conferences and journals in the field of pattern recognition and computer vision.
Scientific publications
Title Cited by Year
Enhance to read better: A Multi-Task Adversarial Network for Handwritten Document Image Enhancement
S Khamekhem Jemni, MA Souibgui, Y Kessentini, A Fornés
Pattern Recognition 123 (108370), 2022

69 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

41 2022
Pansharpening approach via two-stream detail injection based on relativistic generative adversarial networks
T Benzenati, Y Kessentini, A Kallel
Expert Systems with Applications 188, 115996, 2022

32 2022
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

22 2022
Domain and writer adaptation of offline Arabic handwriting recognition using deep neural networks
SK Jemni, S Ammar, Y Kessentini
Neural Computing and Applications 34 (3), 2055-2071, 2022

21 2022