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
Fusing local and global features for person re-identification using multi-stream deep neural networks
M Ghorbel, S Ammar, Y Kessentini, M Jmaiel, A Chaari
Mediterranean Conference on Pattern Recognition and Artificial Intelligence …, 2020

5 2020
Multi-stream Deep Networks for Vehicle Make and Model Recognition
MD Besbes, Y Kessentini, H Tabia
15th International Joint Conference on Computer Vision, Imaging and Computer …, 2020

2 2020
Possibilistic classifier combination for person re-identification
I Ben Slima, S Ammar, M Ghorbel, Y Kessentini
Mediterranean Conference on Pattern Recognition and Artificial Intelligence …, 2020

1 2020
End-to-End Spectral-Temporal Fusion Using Convolutional Neural Network
T Benzenati, A Kallel, Y Kessentini
Mediterranean Conference on Pattern Recognition and Artificial Intelligence …, 2020

0 2020
A two-stage deep neural network for multi-norm license plate detection and recognition
Y Kessentini, MD Besbes, S Ammar, A Chabbouh
Expert systems with applications 136, 159-170, 2019

159 2019