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Beyond Traditional Computer Vision

Jean-Charles Bazin
Disney Research Zurich

May 16, 2016 at  3:00 PM
McConnell Engineering Room 437


Computer vision has achieved unbelievable success despite its relatively short history. Typical applications of computer vision include for example face detection, object recognition and 3D reconstruction. In this talk, I will present some of our projects that explore beyond the traditional computer vision applications. In particular, we will see that (1) computer vision is complementary to other fields, especially computer graphics and multimedia, and (2) collaboration with these fields is mutually beneficial. Exploring their complementarity provides exciting research opportunities and opens a wide range of novel and unconventional applications. As examples I will present music retargeting for video temporal resizing (Eurographics 2013), synchronization and blending of facial performance videos for non-linear storytelling (ICCV 2015), scene-space video processing (SIGGRAPH 2015) and video editing via motion data (MobileHCI 2016).


Dr. Jean-Charles Bazin is an Associate Research Scientist at Disney Research Zurich and an adjunct lecturer at ETH Zurich. Before joining Disney Research, Jean-Charles was a Postdoc and a Senior Researcher (“Oberassistent”) jointly in the Computer Vision and Geometry Group of Prof. Marc Pollefeys and in the Computer Graphics Laboratory of Prof. Markus Gross at ETH Zurich (2011-2014). He also worked as a Postdoctoral Fellow in the Computer Vision Laboratory of Prof. Katsushi Ikeuchi, University of Tokyo, Japan (2010/2011). He received an MS in Computer Science from the Université de Technologie de Compiègne, France (2006) and a PhD in the Robotics and Computer Vision Laboratory, KAIST, South Korea (2011). He published several papers in computer vision (TPAMI, CVPR, ICCV, and ECCV), computer graphics (SIGGRAPH, SIGGRAPH Asia and Eurographics), robotics (IJRR, IROS and ICRA) and multimedia (MobileHCI and ICME). His research interest is the exploration of novel research questions and unconventional applications in computer vision and related fields.