Apparent Age Estimation from Face Images Combining General and Children-Specialized Deep Learning Models

Orange Labs team: Grigory Antipov1,2, Moez Baccouche1, Sid-Ahmed Berrani1, Jean-Luc Dugelay2
1Orange Labs, 4 rue Clos Courtel, 35512 Cesson-Sévigné, France
2Eurecom, 450 route des Chappes, 06410 Biot, France


ChaLearn LAP and FotW Challenge and Workshop @ CVPR2016
Winner of Track 1: Apparent Age Estimation
Best Paper Award of the Workshop

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Team members

Grigory Antipov received his MSc degree in data mining and knowledge management from Polytech Nantes, France and Polytechnic University of Catalonia (UPC), Spain in 2014. He is currently pursuing a PhD in Orange Labs and EURECOM laboratory (Telecom ParisTech, France) on deep learning techniques for estimation of human semantic traits.

Moez Baccouche received his MSc degree in computer vision from Telecom ParisTech (France) and the Pierre and Marie Curie University (France) in 2009, and his PhD degree in computer science from the National Institute of Applied Science of Lyon (France) in 2013. His PhD work was funded and co-supervised by Orange Labs. He is currently a research engineer at Orange Labs, and is mainly working on deep learning and pattern recognition applied to face analysis.

Sid-Ahmed Berrani received his PhD degree in computer science in 2004 from the University of Rennes 1, France. His PhD work has been achieved at INRIA, Rennes, and was funded by Thomson R&D France. His PhD thesis received the SPECIF Award from the French Society for Education and Research in Computer Science. From 2004 to 2011, he has been a Research Engineer in Orange Labs. Since 2011, he is leading the "Multimedia Content Analysis Technologies" research team.

Jean-Luc Dugelay received his PhD in Information Technology from the University of Rennes, France in 1992. His thesis work was undertaken at CCETT (France Telecom Research) at Rennes between 1989 and 1992. He then joined EURECOM in Sophia Antipolis where he is now a Professor in the Department of Multimedia Communications. His current work focuses in the domain of multimedia image processing, in particular activities in security (image forensics, biometrics and video surveillance, mini drones), and facial image processing.