• Song-Chun Zhu is Professor of Statistics and Computer Science at University of California, Los Angeles (UCLA). He received his Ph.D. from Harvard University (adviser Dr. David Mumford) in 1996. His research interests include Computer Vision, Statistical Modeling and Computing, Machine Learning, Cognition and AI, and Visual Arts. He received the Marr Prize at ICCV 2003 with Tu et. al. for image parsing, the Aggarwal prize from the Int. Association of Pattern Recognition in 2008 for his "fundamental contributions to a unified foundation for visual pattern conceptualization, modeling, learning, and inference with applications in CVPR", and twice Marr Prize honorary nominations in 1999 for texture modeling, and in 2007 for object modeling with Y. Wu et. al. He is a recipient of the Sloan Research Fellowship, the NSF Career Award, and the ONR Young Investigator Award, and is a Fellow of the IEEE. He is a director of the UCLA Center for Vison, Cognition, Learning, and Art, and co-chair of numerous workshops, summer schools and conferences.

  • Aleš Leonardis is Professor at the Faculty of Computer and Information Science, University of Ljubljana, and Adjunct Professor at the Faculty of Computer Science, Graz University of Technology. From 1988 to 1991, he was a visiting researcher in the General Robotics and Active Sensory Perception Laboratory at the University of Pennsylvania. From 1995 to 1997, he was a postdoctoral associate at the PRIP, Vienna University of Technology. He was also a visiting researcher and a visiting professor at the ETH in Zurich and at the Technische Fakultaet in Erlangen. His research interests include computer vision, and statistical visual learning. He is a coauthor of more than 160 papers published in journals and conferences. He coauthored the book “Segmentation and Recovery of Superquadrics” (Kluwer, 2000). He is an Editorial Board Member of Pattern Recognition, an Editor of the Springer Book Series Computational Imaging and Vision, and an Associate Editor of the IEEE Trans. PAMI. He served as a program co-chair of the ECCV 2006. In 2002, he coauthored a paper, “Multiple Eigenspaces,” which won the 29th Annual Pattern Recognition Society award. In 2004, he was awarded a prestigious national Award for scientific achievements. He is a fellow of the IAPR.

  • Sinisa Todorovic is Assistant Professor in the School of EECS at the Oregon State University. His research focuses on computer vision and machine learning. He received his Ph.D. degree in electrical and computer engineering at the University of Florida in 2005. He was a Postdoctoral Fellow in the Beckman Institute at the University of Illinois Urbana-Champaign, between 2005- 2008, where he collaborated with Prof. Narendra Ahuja. For a paper published in IEEE Transactions on Vehicular Technology, he was awarded the 2004 Jack Neubauer Best Paper Award by the IEEE Vehicular Technology Society. He served as a Program Chair of 1st and 2nd International Workshops on Stochastic Image Grammars (at CVPR 2009, and ICCV 2011). He is an Associate Editor of Pattern Recognition Letters, and Image & Vision Computing. He is also an Area Chair of CVPR 2012.