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Editor’s Note

Sing Bing

Pages: pp. 833-833

It is my pleasure to announce that Thomas Brox, Fernando De la Torre, and Ying Wu have agreed to join the editorial board. They will be handling a broad range of papers, primarily focused on computer vision. Brief biographies of these distinguished additions to our masthead appear below. Welcome aboard, and thank you in advance for all of your hard work!

Ramin Zabih, Editor-in-Chief

Sing Bing Kang, Associate Editor-in-Chief

Neil Lawrence, Associate Editor-in-Chief

Jiri Matas, Associate Editor-in-Chief

Max Welling, Associate Editor-in-Chief

About the Authors

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Thomas Brox received the PhD degree in computer science from Saarland University, Germany, in 2005. He spent three months as a visiting researcher at INRIA Sophia-Antipolis in France. After his PhD, he joined the Computer Vision Group at the University of Bonn. From 2007 to 2008 he headed the Intelligent Systems Group at the University of Dresden as a temporary faculty member. After two years as a postdoctoral fellow in the Computer Vision Group at the University of California, Berkeley, he moved to the University of Freiburg, Germany, where he is a full professor for pattern recognition and image processing heading the Computer Vision Group. He was awarded an ERC Starting Grant in 2011. His main research focus is on motion estimation and segmentation as well as learning from video data. He is an associate editor of Image and Vision Computing and regularly reviews for all major computer vision journals and conferences. He was an area chair of ICCV 2011 and serves as a referee for several funding organizations. In 2004, he received the Longuet-Higgins Best Paper Award from ECCV for his work on optical flow estimation.
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Fernando De la Torre received the BSc degree in telecommunications, as well as the MSc and PhD degrees in electronic engineering from the La Salle School of Engineering at Ramon Llull University, Barcelona, Spain, in 1994, 1996, and 2002, respectively. He is an associate research professor in the Robotics Institute at Carnegie Mellon University. His research interests are in the fields of computer vision and machine learning. Specifically, he is interested in modeling and recognizing human behavior with a focus on understanding human behavior from multimodal sensors (e.g., video, body sensors). He has done extensive work on facial image analysis (e.g., facial expression recognition, facial feature tracking). In machine learning his interest centers on developing efficient and robust supervised and unsupervised methods to model high-dimensional data. Currently, he is directing the Component Analysis Laboratory ( and the Human Sensing Laboratory ( at Carnegie Mellon University. He has more than 100 publications in refereed journals and conferences. He has organized and coorganized several workshops and has given tutorials at international conferences on the use and extensions of component analysis.
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Ying Wu received the BS degree from Huazhong University of Science and Technology, Wuhan, China, in 1994, the MS degree from Tsinghua University, Beijing, China, in 1997, and the PhD degree in electrical and computer engineering from the University of Illinois at Urbana-Champaign (UIUC) in 2001. From 1997 to 2001, he was a research assistant at the Beckman Institute for Advanced Science and Technology at UIUC. During summer 1999 and 2000, he was a research intern with Microsoft Research, Redmond, Washington. In 2001, he joined the Department of Electrical and Computer Engineering at Northwestern University, Evanston, Illinois, as an assistant professor. He is currently an associate professor of electrical engineering and computer science at Northwestern University. His current research interests include computer vision, image and video analysis, pattern recognition, machine learning, multimedia data mining, and human-computer interaction. He serves as an associate editor for the IEEE Transactions on Image Processing, SPIE Journal of Electronic Imaging, and IAPR Journal of Machine Vision and Applications. He received the Robert T. Chien Award at UIUC in 2001, and the NSF CAREER award in 2003. He is a senior member of the IEEE.
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