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Frédéric Dufaux

5
Documents

Présentation

Dr. Frederic Dufaux is a CNRS Research Director at Université Paris-Saclay, CNRS, CentraleSupélec, Laboratoire des Signaux et Systèmes (L2S, UMR 8506), where he is head of the Telecom and Networking hub. He is a Fellow of IEEE. Frederic received the M.Sc. in physics and Ph.D. in electrical engineering from the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland, in 1990 and 1994 respectively. He has over 20 years of experience in research, previously holding positions at EPFL, Emitall Surveillance, Genimedia, Compaq, Digital Equipment, and MIT. He was also Editor-in-Chief of Signal Processing: Image Communication from 2010 until 2019. Frederic served as Chair of the IEEE SPS Multimedia Signal Processing (MMSP) Technical Committee in 2018 and 2019. He is a member of the IEEE SPS Technical Directions Board. He was Vice General Chair of ICIP 2014, General Chair of MMSP 2018, and Technical Program co-Chair of ICIP 2019. He will be Technical Program co-Chair of ICIP 2021. He is also a founding member and the Chair of the EURASIP Technical Area Committee on Visual Information Processing. He has been involved in the standardization of digital video and imaging technologies for more than 15 years, participating both in the MPEG and JPEG committees. He was co-chairman of JPEG 2000 over wireless (JPWL) and co-chairman of JPSearch. He is the recipient of two ISO awards for these contributions. His research interests include image and video coding, 3D video, high dynamic range imaging, visual quality assessment, video surveillance, privacy protection, image and video analysis, multimedia content search and retrieval, video transmission over wireless network. He is author or co-author of 3 books, more than 200 research publications (h-index=44, 8000+ citations) and 20 patents issued or pending.

Publications

"florent-chiaroni"
Image document

Hallucinating a Cleanly Labeled Augmented Dataset from a Noisy Labeled Dataset Using GANs

F. Chiaroni , M-C. Rahal , N. Hueber , Frédéric Dufaux
26th IEEE International Conference on Image Processing (ICIP 2019), Sep 2019, Taipei, Taiwan. pp.3616-3620, ⟨10.1109/ICIP.2019.8803632⟩
Communication dans un congrès hal-02054836v1
Image document

Learning with a generative adversarial network from a positive unlabeled dataset for image classification

F Chiaroni , Mohamed-Cherif Rahal , Nicolas Hueber , Frédéric Dufaux
IEEE International Conference on Image Processing (ICIP’2018), Oct 2018, Athens, Greece. ⟨10.1109/icip.2018.8451831⟩
Communication dans un congrès hal-01811008v1
Image document

Classification d’images en apprenant sur des échantillons positifs et non labélisés avec un réseau antagoniste génératif

Florent Chiaroni , Mohamed-Cherif Rahal , Frédéric Dufaux , Nicolas Hueber
Conférence Nationale en Intelligence Artificielle et Rencontres des Jeunes Chercheurs en Intelligence Artificielle, Jul 2018, Nancy, France
Communication dans un congrès hal-01811036v1