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Introduction of New Associate Editors

David J. Kriegman
David Fleet

Pages: pp. 1185-1186

We would like to express our sincere gratitude to Yali Amit and John Goutsias, who are retiring as TPAMI Associate Editors. While they'll remain active for a few more months as they wrap up papers still in their charge, they will be missed. They have been among the most reliable and dedicated editors on the board, returning sound judgments in a very timely manner. This exemplary effort has been an important contribution to TPAMI in helping to reduce the time from submission to editorial decisions, something greatly appreciated by authors. Thank you guys!

We are also pleased to announce that Stan Z. Li, Petros Maragos, Jiri Matas, and Stan Sclaroff have joined TPAMI as Associate Editors. Stan Z. Li will be considering papers in the areas of statistical learning and pattern recognition, manifold and subspace methods, face detection and recognition, and video surveillance (modeling, tracking, and behavior understanding). Petros Maragos will handle the review process for papers in mathematical morphology, scale-spaces and PDEs for image analysis, and problems of feature extraction, segmentation, shape, and texture analysis. Jiri Matas will oversee papers in pattern recognition and computer vision, especially in object recognition, wide-baseline matching, and face detection and recognition. Stan Sclaroff was invited to and graciously agreed to rejoin the TPAMI Editorial Board following his outstanding performance during his previous term. Frankly, most AEs are pretty burned out after a term, yet Stan has the enthusiasm, dedication, and stamina to return; he'll continue to be responsible for papers on object tracking, surveillance, tracking and analysis of human motion, and gesture recognition. Their brief biographies appear below. Welcome to TPAMI's editorial board and we look forward to working with you.

David J. Kriegman, Editor-in-Chief

David Fleet, Associate Editor-in-Chief

About the Authors

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Stan Z. Li received the PhD degree from Surrey University, United Kingdom, in 1991. He is currently a professor at the National Laboratory of Pattern Recognition (NLPR), director of the Center for Biometrics and Security Research (CBSR), Institute of Automation, Chinese Academy of Sciences (CASIA); and director of the Joint Laboratory for Intelligent Surveillance and Identification in Civil Aviation (CASIA-CAUC). He worked at Microsoft Research Asia as a researcher from 2000 to 2004. Prior to that, he was an associate professor at Nanyang Technological University, Singapore. His research interests include face recognition, biometrics, intelligent video surveillance, pattern recognition and machine learning, and image and video processing. He authored the book Markov Random Field Modeling in Image Analysis (Springer, first edition in 1995 and second edition in 2001) and coedited the Handbook of Face Recognition (Springer, 2005). He has been actively participating in organizing a number of international conferences and workshops in the fields of computer vision, image processing, pattern recognition, face analysis, and biometrics.
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Petros Maragos received the MEngEE degree from the National Technical University of Athens, Greece, in 1980 and the MScEE and PhD degrees from the the Georgia Institute of Technology, Atlanta, in 1982 and 1985. From 1985-1993, he worked as a professor of electrical and computer engineering at the Division of Applied Sciences, Harvard University, affiliated with the interdisciplinary Harvard Robotics Lab. He has also been a consultant to several industry research groups, including Xerox PARC's research on image analysis. In 1993, he joined the ECE faculty of Georgia Tech. During parts of 1996-1998, he was on sabbatical and academic leave working as a researcher director at the Institute for Language and Speech Processing in Athens. Since 1998, he has been working as a professor of electrical and computer engineering at the National Technical University of Athens. His research and teaching activities include the general areas of signal processing, pattern recognition, communications, control, and their applications to image processing and computer vision, computer speech processing and recognition, and intelligent systems. He has served on the editorial boards of IEEE transactions and other journals in the areas of signal and image processing. His research work has received several awards, including: a 1987 US NSF Presidential Young Investigator Award, the 1988 IEEE ASSP Society's Young Author Best Paper Award, the 1994 IEEE Signal Processing Society's Senior Best Paper Award, the 1995 IEEE Baker Award for the most outstanding original paper in all IEEE publications, and the 1996 Pattern Recognition Society's Honorable Mention Award for best paper. In 1995, he was elected a fellow of the IEEE.
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Jiri Matas received the MSc degree in cybernetics (with honors) from the Czech Technical University, Prague, Czech Republic, in 1987 and the PhD degree from the University of Surrey, United Kingdom, in 1995. From 1991 to 1997, he was a research fellow at the Centre for Vision, Speech, and Signal Processing at the University of Surrey, working with J. Kittler. In 1997, he joined the Center for Machine Perception at the Czech Technical University in Prague. Since 1997, he has held various positions at these two institutions. He has published more than 100 papers in refereed journals and conferences. His work has more than 500 citations in the Science Citation Index. He received the best paper prize at the British Machine Vision Conferences in 2002 and 2005. Dr. Matas has served in various roles at international conferences (e.g., ICCV, CVPR, ICPR, NIPS), cochairing ECCV 2004 and CVPR 2007. His research interests include object recognition, sequential pattern recognition, invariant feature detection, and Hough Transform and RANSAC-type optimization.
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Stan Sclaroff received the PhD degree from the Massachusetts Institute of Technology in 1995. He is an associate professor of computer science at Boston University. In 1996, he received a US ONR Young Investigator Award and a US NSF Faculty Early Career Development Award. Dr. Sclaroff has coauthored more than 100 scholarly publications in the areas of tracking, video-based analysis of human motion and gesture, surveillance, deformable shape matching and recognition, as well as image/video database indexing, retrieval, and data mining methods. He has served on the technical program committees of more than 50 computer vision conferences and workshops. He served as an associate editor for the IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000-2004. He is a senior member of the IEEE.
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