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Stan Osher received his MS and PhD (1966) from the Courant Institute, NYU. After working at Brookhaven National Laboratory, UC Berkeley and SUNY Stony Brook, he has been at UCLA since 1976. He is Director of Special Projects at the Institute for Pure and Applied Mathematics at UCLA. Dr. Osher is the coinventor of i) level set methods for computing moving fronts (180,000 references on Google), ii) ENO, WENO and other numerical methods for computing solutions to hyperbolic conservation laws and Hamilton-Jacobi equations, iii) total variation and other PDE-based image processing techniques. He has been a Fulbright and Alfred P. Sloan Fellow, received the NASA Public Service Group Achievement Award, Japan Society of Mechanical Engineers Computational Mechanics Award, was an invited speaker at the International Congress of Mathematicians, received the SIAM Pioneer Prize at the last ICIAM conference, the SIAM Kleinman Prize at the last SIAM national meeting and was just (May, 2005) elected to the US National Academy of Sciences. He has cofounded 3 successful companies, based, in part, on his own research. His work has been written up numerous times in the scientific and international media, e.g., Science News, Die Zeit. He is a highly cited researcher, according to web-of-science and is the Associate Editor of a number of major journals.

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Yuri Boykov received his "Diploma of High Education" with honors at Moscow Institute of Physics and Technology in 1992 and completed his Ph.D. at the department of Operations Research at Cornell University, NY, in 1996. He first became interested in combinatorial approach to generic energy minimization problems in low-level vision while he was a post-doc at the CS department at Cornell University, NY.
Jointly with Olga Veksler and Ramin Zabih, Yuri developed a powerful "alpha-expansion" aproximation method for estimating piece-wise smooth and piece-wise constant Markov Random Fields models which are currently widely used in computer vision community. Later, as a scientist at Siemens Research Institute in Princeton, he developed graph-cuts methodology for object extraction from ND imagery. Such global optima hypersurface extraction methods became a benchmark standard in medical applications and in many 3D problems in computer vision.
Currently, Yuri is an Assistant Professor at the department of Computer Science at the University of Western Ontario, Canada. He recently receive a Florence Bucke Sience award from the faculty of Science. He is interested in problems of segmentation, restoration, registration, stereo, surface fitting, feature-based object recognition, tracking, photo-video editing, learning graph-based representation models, computational geometry, and others.

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Patrick Pérez received the engineering degree from Ecole Centrale Paris in 1990, and the Ph.D. degree from University of Rennes in 1993. After one year as a postdoc in the Dpt of Applied Mathematics at Brown University (USA), he joined Inria (France) in 1994 as a full time researcher. From March 2000 to February 2004, he was with Microsoft Research (Cambridge, UK). He then returned to Inria as a senior researcher and took, in 2007, the direction of Vista research team of the Inria Rennes Center. In November 2009, Patrick Pérez joined Technicolor Research & Innovation where he leads exploratory research on computer vision and image analysis. He is a Technicolor Fellow. He is currently on the Editorial Board of the International Journal of Computer Vision (IJCV).

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Antonin Chambolle was a student at Ecole Normale Supérieure in Paris until 1990 and received the Ph.D. degree from University of Paris-Dauphine 1993, under the supervision of Jean-Michel Morel. After a one-year period in SISSA, Trieste he took a CNRS resarch position at the CEREMADE (U. Paris-Dauphine) where he stayed until 2002. He passed the Habilitation Thesis in November, 2002 and then moved to CMAP (Centre de Mathématiques Appliquées). His research range from the study of practical methods for computer vision and imaging (inverse problems, partitioning, convex approaches for general problems, optimization algorithms for nonsmooth convex problems) to more theoretical works in the calculus of variations (surface evolutions, regularity issues, variational problems with discontinuities), or the analysis of models of fracture or pattern formation in materials science. He is currently the head of the CMAP at Ecole Polytechnique.

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Shoji Tominaga received the B.E., M.S., and Ph.D. degrees in electrical engineering from Osaka University, Osaka, Japan, in 1970, 1972, and 1975, respectively. From 1976 to 2006, he had been with Osaka Electro-Communication University. In 2006, he joined Chiba University, Japan, where he was a Professor (2006-2013) and Dean (2011-2013) at Graduate School of Advanced Integration Science. He is now a Specially Appointed Researcher at Graduate School of Advanced Integration Science, Chiba University. During 1987-1988 he was a Visiting Scholar at the Department of Psychology, Stanford University. His research interests include digital color imaging, multispectral image analysis, and color image rendering. He is an editorial board member of Color Research and Application. He is a Fellow of IEEE, IS&T, and SPIE.