Profile Yousri Kessentini

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Yousri Kessentini

  • curriculum vitae
    • 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
    Keyword spotting in handwritten documents based on a generic text line HMM and a SVM verification
    Y Kessentini, T Paquet
    2015 13th international conference on document analysis and recognition …, 2015

    		 7 2015
    Word Spotting and Regular Expression Detection in Handwritten Documents
    Y Kessentini, C Chatelain, T Paquet
    Document Analysis and Recognition (ICDAR), 2013 12th International …, 2013

    		 17 2013
    Multi-stream Markov models for Arabic handwriting recognition
    Y Kessentini, T Paquet, AM Ben Hamadou
    Guide to OCR for Arabic Scripts, 335-350, 2012

    		 4 2012
    Dempster-Shafer based rejection strategy for handwritten word recognition
    T Burger, Y Kessentini, T Paquet
    2011 International Conference on Document Analysis and Recognition, 528-532, 2011

    		 15 2011
    Evidential combination of SVM road obstacle classifiers in visible and far infrared images
    B Besbes, S Ammar, Y Kessentini, A Rogozan, A Bensrhair
    2011 IEEE Intelligent Vehicles Symposium (IV), 1074-1079, 2011

    		 14 2011