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 CNNT Benzenati, Y Kessentini, A Kallel, H HallabiaIEEE Geoscience and Remote Sensing Letters 17 (4), 651-655, 2020 |
26 | 2020 |
Two stages pan-sharpening details injection approach based on very deep residual networksT Benzenati, A Kallel, Y KessentiniIEEE Transactions on Geoscience and Remote Sensing 59 (6), 4984-4992, 2020 |
25 | 2020 |
A Conditional GAN Based Approach for Distorted Camera Captured Documents RecoveryMA Souibgui, Y Kessentini, A FornésMEDPRAI'20, 2020 |
17 | 2020 |
Hybrid HMM/BLSTM system for multi-script keyword spotting in printed and handwritten documents with identification stageA Cheikhrouhou, Y Kessentini, S KanounNeural Computing and Applications 32, 9201-9215, 2020 |
14 | 2020 |
Improving Recurrent Neural Networks for Offline Arabic Handwriting Recognition by Combining Different Language ModelsSK Jemni, Y Kessentini, S KanounInternational Journal of Pattern Recognition and Artificial Intelligence 34 …, 2020 |
11 | 2020 |