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 |
|---|---|---|
Text-DIAE: A self-supervised degradation invariant autoencoder for text recognition and document enhancementMA Souibgui, S Biswas, A Mafla, AF Biten, A Fornés, Y Kessentini, ...proceedings of the AAAI conference on artificial intelligence 37 (2), 2330-2338, 2023 |
49 | 2023 |
MSdocTr-Lite: A lite transformer for full page multi-script handwriting recognitionM Dhiaf, AC Rouhou, Y Kessentini, SB SalemPattern Recognition Letters 169, 28-34, 2023 |
42 | 2023 |
CSSL-MHTR: Continual self-supervised learning for scalable multi-script handwritten text recognitionM Dhiaf, MA Souibgui, K Wang, Y Liu, Y Kessentini, A Fornés, AC RouhouarXiv preprint arXiv:2303.09347, 2023 |
5 | 2023 |
Spectral–Temporal Fusion of Satellite Images via an End-to-End Two-Stream Attention With an Effective Reconstruction NetworkT Benzenati, Y Kessentini, A KallelIEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2023 |
4 | 2023 |
SS-FL: Self-Supervised Federated Learning for COVID-19 Detection from Chest X-Ray ImagesI Feki, S Ammar, Y KessentiniInternational Conference on Computational Collective Intelligence, 702-714, 2023 |
0 | 2023 |