Biography (short)


Grégory Rogez is a Research Scientist with the THOTH team at Inria Grenoble Rhône-Alpes. He graduated from the Ecole Nationale Supérieure de Physique de Marseille (now Centrale Marseille) in 2002 and received the M.Sc. degree in biomedical engineering and the Ph.D. degree in computer vision from the University of Zaragoza, Spain, in 2005 and 2012 respectively. Dr. Rogez was the recipient of a best Ph.D. thesis award for his work on monocular human body pose analysis and was awarded a Marie Curie Fellowship to visit the University of California Irvine between 2013 and 2015. His current research interests include computer vision and deep learning with a special focus on understanding people from visual data (detection, pose estimation and activity recognition). His current work is supported by an Amazon Academic Research Award (AARA).

Biography (long)


Grégory Rogez is a Research Scientist with the THOTH team at Inria Grenoble Rhône-Alpes in France. He has a significant background in Computer Vision (more than 15 years) and has worked on research and commercial projects including human motion analysis, video surveillance, image quality in X-ray imaging systems, robotics, and optical character recognition. His current research interests include computer vision and deep learning with a special focus on understanding people from visual data (detection, pose estimation and activity recognition).

Grégory Rogez graduated from ENSPM (Ecole Nationale Superieure de Physique de Marseille, University of Aix-Marseille, now Centrale Marseille), France, in 2002 with an M.Eng. in physics. In 2001, he worked as intern in General Electric Medical System (GEMS) where he designed and validated several Image Quality tests on the Vascular Imaging System developed by GEMS. Through a European Leonardo Da Vinci Scholarship he did his M.Eng. thesis project in 2002 in the Dept of Computer Vision & Robotics of the Institute for Computer Sciences-Foundation for Research and Technology Hellas (ICS-FORTH) in Greece under the supervision of Prof. Antonis Argyros.

He moved to Spain and worked as Software Engineer (2003-2005) in the Computer Vision Lab (CVLab) of the University of Zaragoza where he participated in several national research projects and R&D contracts with companies such as DeInta or Scati Lab. Among others, he designed and developed computer vision algorithms for video surveillance as well as optical character recognition software. The success of the license plate recognition project led to a commercial product. In 2005, he obtained a postgraduate D.E.A. in biomedical engineering (M.Sc.) and then started his Ph.D. studies on human pose understanding in the CVLab under the supervision of Prof. Carlos Orrite. He was a visiting Ph.D. student with the Computer Vision Center (CVC) in Barcelona, Spain (June-Sept 2006) and visited twice the Vision Group at Oxford Brookes University in 2007 (July-Nov) and 2008 (May-July) starting a collaboration with Prof Philip H. S. Torr. Between 2009 and 2010, Grégory Rogez was a Research Fellow at Oxford Brookes University, U.K. and worked under Prof Torr on a Proof of Concept (POC) project whose aim was to deliver a real time human motion analysis demonstrator.

In June 2012, he was awarded a Ph.D. degree with honors and a European mention from the University of Zaragoza. He was a recipient of the AERFAI Best Ph.D. Thesis Award 2011–2012 for his work on monocular human body pose analysis from the Spanish branch of the International Association for Pattern Recognition (IAPR). In 2013, he was awarded a 3-years Marie Curie IOF Fellowship to work with Prof Deva Ramanan at the University of California, Irvine, Prof. J. M. M. Montiel at the I3A, University of Zaragoza and Dr Cordelia Schmid at Inria Rhones-Alpes. His current work is supported by an Amazon Academic Research Award (AARA).