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Jean PONCE (Ecole Normale Supérieure - FRA) |
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See his Web page
Jean PONCE is a computer science professor at Ecole Normale Supérieure (ENS) in Paris, France, where he heads the ENS/INRIA/CNRS Project-team WILLOW. Before joining ENS, he spent most of his career in the US, with positions at MIT, Stanford, and the University of Illinois at Urbana-Champaign, where he was a full professor until 2005. Jean Ponce is the author of over 120 technical publications in computer vision and robotics, including the textbook "Computer Vision: A Modern Approach" that has been translated in Chinese, Japanese, and Russian. He is an IEEE Fellow, served as editor-in-chief for the International Journal of Computer Vision from 2003 to 2008, and chaired the IEEE Conference on Computer Vision and Pattern Recognition in 1997 and 2000, and the European Conference on Computer Vision in 2008. Jean Ponce is an IEEE Fellow, a senior member of the Institut Universitaire de France, and the recipient of an ERC Advanced Grant.
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Djemel ZIOU (Sherbrooke University - CAN) |
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Currently Djemel ZIOU is a Full Professor at the Department of Computer Science, Sherbrooke University. He is the Head of the Laboratory MOIVRE. In 2001, he founded CoRIMedia, a panCanadian research consortium focused on managing non-textual information. His research interests include image processing, information retrieval, computer vision, and pattern recognition. He has served on numerous conference committees and panels as a member or a chair. He was a recipient of the Prestigious NSERC Research Chair.
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Rachid BENSLIMANE (High School of Technology, Fez - MAR) |
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Rachid Benslimane is a full Professor in Image processing and data mining at the Université Sidi Mohamed Ben Abdellah of Fez in Morocco (USMBA).
He received a Ph.D in electronics, in 1985, from the Université des Sciences et Techniques du Languedoc (Montpellier, France). In 1992, he received a State Doctorate degree in Physics from the USMBA, where he served, from 2004 to 2009, as vice-President in charge of Research and Cooperation.
From 1993 to 2010, he was the director of the research laboratory 'Laboratoire de Transmission et de Traitement d'image' (LTTI), where he developed the topic 'ICT and Cultural Heritage'.
In 2010, he created the team 'Traitement de l'Information Multimedia et Patrimoine Culturel', where his main research areas are image understanding, pattern recognition, data mining and content-based image retrieval. The main applications concern the Moroccan-Andalusian geometric Art and the content extraction of Arabic manuscripts.
Rachid Benslimane has published more than 60 research papers. He has supervised 20 Ph.D students and participated to numerous national and international projects (CEE, UNESCO, UNDP, National Center of Research of Morocco).
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Coloma BALLESTER (Universitat Pompeu Fabra, Barcelona - ESP) |
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Since 1999 Coloma Ballester is an Associate Professor (TU) of Applied Mathematics at the Department of ICT at the University Pompeu Fabra in Barcelona. She obtained a degree in Mathematics at the U. Autònoma de Barcelona, a Master "Mathématiques Appliquées à l'Ingénierie" at the U. Paris-IX in 1992 and a Ph.D. in Computer Science at the U. Illes Balears in 1995.
After her Ph.D., she worked at UIB until 1997, and at the CNRS at IHP in Paris in 1998. As of May 2019, she has authored more than 55 peer-reviewed international publications including 28 high impact-factor journal articles, 2 review articles, 27 articles in peer-reviewed international conferences, several best paper awards, and a few non refereed publications. These articles have received, as of May 2019, more than 6000 citations in google scholar.
Her research interests include image processing and computer vision. She is currently interested in image and video analysis, geometric and semantic understanding of the dynamic content of videos, semantic analysis of multimodal data, data comparison, occlusions and motion estimation, scene flow estimation, film post-production algorithms, geometric models, variational models, nonlocal methods, unsupervised learning approaches, and in general in both model-based and data-driven strategies for image processing and computer vision.
More information including recent publications: www.upf.edu/web/coloma-ballester/research
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