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The Australian National University


Nick Barnes is a principal researcher and research group manager in computer vision at the Canberra Research Laboratory, National ICT Australia (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 Laboratory for Integrated Advanced Robotics (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.

Richard Wilson is a Professor in the Department of Computer Science at the University of York where he is a member of the Computer Vision and Pattern Recognition group. He read physics at St John's College Oxford, graduating with first class honours in 1992. Professor Wilson gained his DPhil from York on the topic of relational graph matching in 1995. He was awarded a university prize for the thesis. In 1998 he was awarded an Engineering and Physical Sciences Research Council (EPSRC) Advanced Research Fellowship. He is a member of the editorial board of the journal Pattern Recognition and a reviewer for a number of major journals. He served as programme chair for Structural and Syntactic Pattern Recognition (SSPR) 2010 and will be programme chair for Computer Analysis of Images and Patterns (CAIP) 2013 in York, and has served on the programme committees for International Conference on Computer Vision (ICCV), International Conference on Image Processing (ICIP) and International Conference on Pattern Recognition (ICPR). Professor Wilson has published more than 150 papers, including 38 papers in international journals and over 100 papers in refereed conferences. He has received an outstanding paper award from the journal Pattern Recognition in 1998 and won the best paper prize for Asian Conference on Computer Vision (ACCV) 2002. In 2010, he was made a Fellow of the International Conference on Pattern Recognition (IAPR).

Professor Wilson is one of the foremost experts in the use of relational models in computer vision and pattern recognition. He has worked on inexact graph-matching techniques and graph-spectral methods. He has pioneered the use of spectral descriptions of graphs and spectral feature characterisations of graphs. More recently, he has been co-investigator on the Europe Union Seventh Framework Programme (FP 7) project Beyond Features Similarity-based Pattern Analysis and Recognition (SIMBAD) which is aimed at developing the field of similarity-based pattern recognition.

Nicu Sebe is an Associate professor in the Faculty of Cognitive Sciences, University of Trento, Italy, where he is leading the research in the areas of multimedia information retrieval and human-computer interaction in computer vision applications.

He was involved in the organisation of the major conferences and workshops addressing the computer vision and human-centred aspects of multimedia information retrieval, among which as a General Co-Chair of the Institute of Electrical and Electronics Engineers (IEEE) Automatic Face and Gesture Recognition Conference (FG), 2008, Association for the Computing Machinery (ACM) International Conference on Image and Video Retrieval (CIVR) 2007 and 2010, and the International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS) 2009 and as one of the initiators and a Program Co-Chair of the Human-Centred Multimedia track of the ACM Multimedia 2007 conference. He is the general chair of ACM Multimedia 2013 and a program chair of ACM Multimedia 2011. He has served as the guest editor for several special issues in IEEE Computer, IEEE Transactions on Multimedia, Computer Vision and Image Understanding, Image and Vision Computing, Multimedia Systems, and ACM Transactions on Multimedia Computing, Communications and Applications (TOMCCAP).

He has been a visiting professor in Beckman Institute, University of Illinois at Urbana-Champaign and in the Electrical Engineering Department, Darmstadt University of Technology, Germany. He is the co-chair of the IEEE Computer Society Task Force on Human-centred Computing and is an associate editor of IEEE Transactions on Multimedia, Machine Vision and Applications, Image and Vision Computing, Electronic Imaging and of Journal of Multimedia.

Simon Lucey is a Senior Research Scientist in the Commonwealth Scientific and Industrial Research Organisation (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 organised and co-chaired a number of conferences, workshops and special sessions and is the current local arrangements chair for the world class IEEE 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 the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ICCV, European Conference on Computer Vision (ECCV) and the British Machine Vision Conference (BMVC) and also served as an Associate Editor for the IEEE Transactions of Multimedia.

Antonio Robles-Kelly received his B.Eng. degree in Electronics and Telecommunications with honours in 1998. In 1999, after a year in industry, he enrolled in a PhD programme at the University of York. During his doctorate, in 2001, he visited the University of South Florida as part of the William Gibbs/Plessey Award to the best research proposal to visit an overseas research lab. This is a competitive award which is granted in consultation with GEC Marconi. He received his PhD in Computer Science from the University of York in 2003. After receiving his doctorate, Dr. Robles-Kelly remained in York until Dec. 2004 as a Research Associate under the Mathematics for Information Technology - Engineering and Physical Sciences Research Council (MathFit-EPSRC) framework. In 2005, he took a research scientist appointment with NICTA at the Canberra Lab. Together with this appointment, he became an Adjunct Research Fellow at ANU.

After working on surveillance systems with query capabilities, in 2006 he was appointed project leader of the Spectral Imaging project and promoted to Senior Researcher. From 2007 to 2009, he was a Postdoctoral Research Fellow of the Australian Research Council. These are highly competitive fellowships. His was awarded for the project entitled "Spectral Mutli-camera Tracking". In 2009, he became a conjoint senior lecturer at the University of New South Wales at the Australian Defense Force Academy (UNSW@ADFA) and, in 2010, he was elevated to the Senior Member Grade of the IEEE. He is an Adjunct Associate Professor at ANU and a Principal Researcher at NICTA.

He has been a technical committee member of mainstream computer vision and pattern recognition conferences such as BMVC, ICCV, CVPR, ECCV, ACCV and ICPR. He was the general chair of Digital Image Computing: Techniques and Applications (DICTA) 2008 and area chair of DICTA 2009. He has been named a chair of DICTA 2010 and ACCV 2010. In 2010, he became the manager of the International Science Linkages (ISL) project entitled "Graph-based Representations of Remotely Sensed Data for Geoindexing Applications". The project, with Zhejiang University, corresponds to the Round 9 of the Australia-China Special Fund for S&T Cooperation, which is jointly managed by the Australian Government Department of Innovation, Industry, Science and Research (DIISR) and its Chinese counterpart, the Ministry of Science and Technology (MOST). He is also an Associate Editor of the IET Computer Vision Journal.

His research interests are in the areas of Pattern Recognition, Computer Vision, Spectral Imaging and Computer Graphics. Along these lines, he has done work on segmentation and grouping, tracking, graph-matching, shape analysis, the understanding of images beyond the visible spectrum and reflectance models. He is also interested in more theoretical topics such as the differential structure of discrete surfaces and graphical models for recognition and classification. At present, he is working on computer vision and pattern recognition applied to the areas of environmental management, biosecurity, biometrics, surveillance systems and computational photography.

Peter Corke is Professor of Robotics and Control at Queensland University of Technology. Previously he was a Senior Principal Research Scientist at the CSIRO ICT Centre where he founded and led the Autonomous Systems laboratory, the Sensors and Sensor Networks research theme and the Sensors and Sensor Networks Transformational Capability Platform. He is a Fellow of the IEEE; Editor-in-Chief of the IEEE Robotics and Automation magazine; founding editor of the Journal of Field Robotics; member of the editorial board of the International Journal of Robotics Research, and the Springer STAR series. He has recently published "Robotics, Vision & Control: Fundamental Algorithms in MATLAB", has over 300 publications in the field and held visiting positions at the University of Pennsylvania, University of Illinois at Urbana-Champaign, Carnegie-Mellon University Robotics Institute, and Oxford University.

Anders Eriksson is a senior research associate in computer vision at the school of computer science, university of Adelaide, Australia. He recieved his Msc degree in Electrical Engineering in 2000 and his PhD in mathematics in 2008, both from Lund University, Sweden. His research area include optimization theory and numerical methodsapplied to the fields of computer vision and machine learning. In 2010 his work on robust low-rank matrix approximation won the best paper award at the 23rd IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, USA.

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