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Academic Background 2016 • Habilitation a Diriger des Recherches (HDR, accreditation to supervise research) in Computer Science and ` Applied Mathematics, Universite Grenoble Alpes. Thesis: ´ Machine learning solutions to visual recognition problems. 2004 • Doctorate Computer Science (best thesis award), Informatics Institute, University of Amsterdam. Advisors: Prof. Dr. Ir. F. Groen, Dr. Ir. B. Krose, and Dr. N. Vlassis. Thesis: ¨ Mixture models for clustering and dimension reduction. 2000 • Master of Science in Logic (with honours), Institute for Language, Logic, and Computation, University of Amsterdam. Advisor: Prof. Dr. M. van Lambalgen. Thesis: An information theoretic approach to finding word groups for text classification. 1998 • Master of Science in Artificial Intelligence (with honours), Dutch National Research Institute for Mathematics and Computer Science & University of Amsterdam. Advisors: Prof. Dr. P. Vitanyi, Dr. P. Gr ´ unwald, ¨ and Dr. R. de Wolf. Thesis: Overfitting using the minimum description length principle. Awards 2011 • Outstanding Reviewer Award, IEEE Conference on Computer Vision and Pattern Recognition. 2009 • Outstanding Reviewer Award, IEEE Conference on Computer Vision and Pattern Recognition. 2006 • Biannual E.S. Gelsema Award of the Dutch Society for Pattern Recognition and Image Processing for best PhD thesis and associated international journal publications. 2000 • Regional winner of yearly best MSc thesis award Dutch Society for Computer Science. Employment since 2007 • Researcher (CR1), INRIA Rhone-Alpes, Grenoble. ˆ 2005-2007 • Postdoc, INRIA Rhone-Alpes, Grenoble. ˆ 2004-2005 • Postdoc, Intelligent Autonomous Systems group, Informatics Institute, University of Amsterdam. Professional Activities Participation in Research Projects 2016-2019 • Deep Convolutional and Recurrent networks for image, speech, and text, coordinator, funded by Persyval laboratory of excellence, Grenoble. 2016-2019 • Structured prediction for weakly supervised semantic segmentation, funded by Facebook Artificial Intelligence Research (FAIR) Paris and French national research and technology agency (ANRT). 2016-2019 • Deep in France, co-organizer, funded by French national research agency (ANR). 2015-2016 • Incremental learning for object category localization, research contract with MBDA Systems. 2013-2016 • Physionomie: Physiognomic Recognition for Forensic Investigation , funded by French national research agency (ANR). 2011-2015 • AXES: Access to Audiovisual Archives, European integrated project, 7th Framework Programme. 2010-2013 • Quaero Consortium for Multimodal Person Recognition, funded by French national research agency (ANR). 2009-2012 • Modeling multi-media documents for cross-media access, funded by Xerox Research Centre Europe (XRCE) and French national research and technology agency (ANRT). 2008-2010 • Interactive Image Search, funded by French national research agency (ANR). 2006-2009 • Cognitive-Level Annotation using Latent Statistical Structure (CLASS), funded by European Union Sixth Framework Programme. 2000-2005 • Tools for Non-linear Data Analysis, funded by Dutch Technology Foundation (STW).