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The Australian National University

Speakers

Nick Barnes is a principal researcher and research group manager in computer vision at the Canberra Research Laboratory, NICTA, where he has been since 2003. He was a lecturer at the University of Melbourne from 2000 to 2003, a visiting researcher at the LIRA Lab, University of Genoa, Italy in 1999. He completed his BSc (hons) and PhD in computer vision for robot guidance at the University of Melbourne. He also worked as a consultant in the IT Industry from 1992-1994.

His research interests focus on computer vision, and computer vision for medical assistive technologies, particularly for the vision impaired, as well as the intersection of neuroscience and computer vision. He is part of the Bionic Vision Australia consortium which aims to develop a bionic eye.

Michael S. Brown obtained his BS and PhD in Computer Science from the University of Kentucky in 1995 and 2001 respectively. He was a visiting PhD student at the University of North Carolina at Chapel Hill from 1998-2000. Dr. Brown has held positions at the Hong Kong University of Science and Technology (2001-2004), California State University - Monterey Bay (2004-2005) and Nanyang Technological University (2005-2007). Since 2007 he has been with the National University of Singapore where he is currently an Associate Professor in the School of Computing. Dr. Brown has served as a program chair for the IEEE Workshop on Projector-Camera Systems (PROCAMS'08), IEEE Workshop on eHeritage'09, and IEEE Workshop on Applications of Computer Vision (WACV'11). He has served as an area chair for CVPR'09, ACCV'10, CVPR'11, and ICCV'11 (upcoming). Dr. Brown received the HKUST Faculty Teaching Award (2002),the NUS Young Investigator Award (2008), and the NUS Faculty Teaching Award (for AY08/09 and AY09/10). His research interests include Computer Vision, Image Processing and Computer Graphics.

Professor Richard Hartley is a member of the computer vision group in the School of Engineering at The Australian National University. He also belongs to the Vision Science Technology and Applications Program in National ICT Australia.

He graduated from the University of Toronto in 1976 with a thesis in Knot Theory and worked in this area for several years before joining the General Electric Research and Development Center, where he worked from 1985 to 2001. During the period 1985-1988, he was involved in the design and implementation of Computer-Aided Design tools for electronic design and created a very successful design system called the Parsifal Silicon Compiler, described in his book "Digital Serial Computation". In 1991 he was awarded GE's Dushman Award for this work.

Around 1990 he developed an interest in Computer Vison, and in 2000, he co-authored (with Andrew Zisserman) a book on Multiple View Geometry.

He has authored over 100 papers in Knot Theory, Geometric Voting Theory, Computational Geometry, Computer-Aided Design, and Computer Vision, and holds 32 US patents.

Prof van den Hengel is the founding Director of The Australian Centre for Visual Technologies (ACVT), an interdisciplinary research centre focussing on innovation in the production and analysis of visual digital media. Prof van den Hengel has had over 70 publications, 2 patents, 3 patent applications, more than $7 million in research funding, and over $1 million in consulting. Current research interests include interactive image-based modelling, large-scale video surveillance, and image-based search of multi-million image databases.

Peter Kovesi is a member of the geophysics and image analysis group within the Centre for Exploration Targeting, School of Earth & Environment at The University of Western Australia. Prior to this, from 1991 to 2007, he was with the School of Computer Science & Software Engineering at UWA, he still maintains an adjunct position with the School. Before that, from 1984 to 1991, Peter was a research engineer with the Automated Sheep Shearing Project in the Department of Mechanical Engineering at UWA.

He completed a B.Eng. in Mechanical Engineering at the University of Western Australia in 1981. This was followed by a M.Eng.Sc. in the area of kinematic control of robot arms in 1984, also at UWA. His PhD, completed in 1996, was in computer vision. This work studied the construction of invariant low-level image measures from local phase information.

Peter's research interests are mostly in low-level computer vision. This work has concentrated on using local phase information in images to construct invariant quantities for feature detection, symmetry/asymmetry analysis, texture analysis, and feature matching. He also has interests in 3D reconstruction, forensic image processing and biometrics

Simon Lucey is a Senior Research Scientist in the CSIRO ICT Centre and a current "Futures Fellow Award" recipient from the Australian Research Council . Previous to joining the CSIRO, Simon was an Assistant Research Professor in the Robotics Institute at Carnegie Mellon University, and was a faculty member there from 2005 to October 2009. Before that he was a Post Doctoral Fellow in the Electrical and Computer Engineering (ECE) department at Carnegie Mellon University. Dr. Lucey's research interests are in computer vision and machine learning with specific interests in their application to human behaviour (particularly with reference to faces and bodies).

He received his Ph.D. in 2003 on the topic of audio-visual speaker and speech recognition from the Queensland University of Technology (QUT), Australia. To his credit he has over 40 publications in international conferences, journals and book chapters. He has been a reviewer for a number of international journals and conferences in vision, learning, pattern recognition and multimedia. He has organized and co-chaired a number of conferences, workshops and special sessions and is the current local arrangements chair for the world class IEEE International Conference on Computer Vision (ICCV) 2013 to be held in Sydney, Australia. His work on face tracking and recognition was recently showcased on a Discovery Channel series "Weird Connections". Simon has served on the programme committee for a number of top international computer vision and pattern recognition conferences including CVPR, ICCV, ECCV and BMVC and also served as an Associate Editor for the IEEE Transactions of Multimedia.

Antonio Robles-Kelly received the B.Eng. degree in electronics and telecommunications in 1998. In 2001, being a graduate student at the University of York, U.K., he visited the University of South Florida, as part of the William Gibbs/Plessey Award to the best research proposal. He received the Ph.D. degree in computer science from the University of York in 2003. After receiving his doctorate degree, he remained at the University of York until December 2004 as a Research Associate under the Mathematics for IT (MathFIT) initiative of the Engineering and Physical Sciences Research Council (EPSRC). In 2005, he took a research scientist appointment with NICTA and became an adjunct at the ANU. In 2006, he was appointed Project Leader of the Spectral Imaging and Source Mapping project and promoted to Senior Researcher. He has been a Postdoctoral Research Fellow of the ARC and currently serves as a conjoint Senior Lecturer with the UNSW at the Australian Defense Force Academy. He is also an Associate Editor of the IET Computer Vision and Pattern Recognition journals.

Fernando De la Torre received his B.Sc. degree in Telecommunications, as well as his M.Sc. and Ph. D degrees in Electronic Engineering from La Salle School of Engineering at Ramon Llull University, Barcelona, Spain in 1994, 1996, and 2002, respectively. In 1997 and 2000, he became Assistant and Associate Professor in the Department of Communications and Signal Theory in Enginyeria La Salle. In 2002, he was a post doctoral researcher at Brown university (Providence, RI) and Gatsby Neuroscience Unit (London). Since 2005, he joined the Robotics Institute at Carnegie Mellon University as Research Assistant Professor. His research interests are in the fields of Computer Vision and Machine Learning. Currently, he is directing the Component Analysis Laboratory and co-directing the Human Sensing Laboratory.

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