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
Generalized Laplacian Pyramid Pan-Sharpening Gain Injection Prediction Based on CNN
T Benzenati, Y Kessentini, A Kallel, H Hallabia
IEEE Geoscience and Remote Sensing Letters 17 (4), 651-655, 2020

26 2020
Two stages pan-sharpening details injection approach based on very deep residual networks
T Benzenati, A Kallel, Y Kessentini
IEEE Transactions on Geoscience and Remote Sensing 59 (6), 4984-4992, 2020

25 2020
A Conditional GAN Based Approach for Distorted Camera Captured Documents Recovery
MA Souibgui, Y Kessentini, A Fornés
MEDPRAI'20, 2020

17 2020
Hybrid HMM/BLSTM system for multi-script keyword spotting in printed and handwritten documents with identification stage
A Cheikhrouhou, Y Kessentini, S Kanoun
Neural Computing and Applications 32, 9201-9215, 2020

14 2020
Improving Recurrent Neural Networks for Offline Arabic Handwriting Recognition by Combining Different Language Models
SK Jemni, Y Kessentini, S Kanoun
International Journal of Pattern Recognition and Artificial Intelligence 34 …, 2020

11 2020