Header image  
Tutorials: Nov 13, 2011, Shanghai, China
Main Conference: Nov 14-17, 2011, Shanghai, China
Workshops: Nov 18, 2011, Hangzhou, China
line decor
   Final program of ICONIP2011 and book of abstracts are available now.  
line decor

Special Session on Biologically Inspired Vision and Recognition


Jun Miao
Institute of Computing Technology, CAS, China.
E-mail: jmiao@ict.ac.cn

Libo Ma
Institute of Neuroscience, CAS, China.
E-mail: malibo@ion.ac.cn

Liming Zhang
Fudan University, China.
E-mail: lmzhang@fudan.edu.cn

Juyang Weng
Michigan State University, USA.
E-mail: weng@cse.msu.edu

Xilin Chen
Institute of Computing Technology, CAS, China.
E-mail: xlchen@ict.ac.cn


In recent years, biologically inspired methods, such as attention, feature development, spiking neuronal models, sparse coding, perception for spatial relationship, dealing with backgrounds, developmental learning and artificial life, have been applied to computational vision and visual recognition tasks.

Researchers need a platform through which they can communicate about these advances and reconcile the differences. This special session intends to bring researchers working on related subjects together. The organizers of the special session will invite some related researchers, but all the submissions are subject to review. The special session also accepts open submissions. The accepted papers are subject to rearrangement by the ICONIP organizers to fit into the size of one or two special sessions.

Topics of interest include but not limited to:

  • Spiking neurons and neural networks based visual methods
  • Neuronal architectures for perception, cognition, and behavior
  • Visual attention, bottom-up, lateral and top-down
  • Sparse coding and representation
  • Visual shape and structure analysis
  • Visual context in space and in time
  • Developmental and incremental visual learning
  • Autonomous mental development and artificial life
  • Multimodal sensing and action
  • Concept learning and visual reasoning
  • Visual meaning and visual semantics
  • Motivation in visual learning and development

        Jun Miao received his Ph.D. degree in computer science from the Institute of Computing Technology, Chinese Academy of Sciences (CAS) in 2005. He is currently an associated professor at the Institute of Computing Technology, CAS, Beijing, China. His research interests include artificial intelligence, neural networks, neural information processing, image understanding and biological vision. He has published more than 40 research articles in refereed journals and proceedings on face detection, visual neural networks, visual neural information coding, neural oscillation, image segmentation, visual perception and cognition. His two main contributions are the technique of Human Face Gravity-Center Template for face detection and the model of Visual Perceiving and Eyeball-Motion Controlling Neural Network for visual search respectively. Dr. Miao is a member of IEEE, a member of the China Computer Federation and a member of the Chinese Society for Neuroscience. He is the recipient of Microsoft Fellowship Award in 2000, a recipient of 2003 Shanghai Science and Technology Progress Awards (the First Award) and a recipient of 2005 National Science and Technology Progress Awards of China (the Second Award).

        Libo Ma received his Ph.D. degree in computer science from Shanghai Jiao Tong University in 2009. He is currently a postdoctoral at the Institute of Neuroscience, Chinese Academy of Sciences, Shanghai, China. His research interests include computational neuroscience, image processing, and computer vision. He has published more than 10 research articles in refereed journals and proceedings on sparse coding and image representation.

        Liming Zhang received her B.S. degree in Physics from Fudan University, Shanghai, China, in 1965. From 1986 to 1988, she was a visiting scholar at the Electrical Engineering Department, University of Notre Dame, South Bend, IN, USA. In 1996, she was a senior visiting scholar at Munich Technology University, Munich, Germany. Now she is a full professor and Doctoral Advisor in the Department of Electronic Engineering, Fudan University and a leader of Image and Intelligence Laboratory. Since 1986, she has been engaged in artificial neural network, machine learning, feature selection and pattern recognition of images and objects, including face recognition, brain-like robot, etc. Her group has accomplished more than 10 projects supported by climbing programs, notional key projects, natural sciences foundation, Shanghai science and technology committee, etc. She has published more than 120 papers on important national and international journals and conference proceedings concentrated on pattern recognition, machine learning, and neural networks.

        Juyang Weng received the B.S. degree from Fudan University, China, and the M.S. and Ph.D. degrees from the University of Illinois at Urbana-Champaign, all in computer science. He is now a Professor at the Department of Computer Science and Engineering, Michigan State University, East Lansing. He is also a Faculty Member of the Cognitive Science Program and the Neuroscience Program at Michigan State. Since the work of Cresceptron (ICCV 1993), he has expanded his research interests to biologically inspired systems, especially the autonomous development of a variety of mental capabilities by robots and animals, including perception, cognition, behaviors, motivation, and abstract reasoning skills. He has published more than 200 research articles on related subjects, including task muddiness, intelligence metrics, mental architectures, vision, audition, touch, attention, recognition, autonomous navigation, and other emergent behaviors. He is Editor-in-Chief of the International Journal of Humanoid Robotics. He was a Member of the Executive Board of the International Neural Network Society (2006?008), Program Chairman of the NSF/DARPA-funded Workshop on Development and Learning 2000 (1st ICDL), Program Chairman of the Second ICDL (2002), Chairman of the Governing Board of the ICDL (2005?007), and General Chairman of the Seventh ICDL (2008) and Eighth ICDL (2009). He and his coworkers developed SAIL and Dav robots as research platforms for autonomous development. Dr. Weng is an Associate Editor of the IEEE TRANSACTIONS ON AUTONOMOUS MENTAL DEVELOPMENT. He was Chairman of the Autonomous Mental Development Technical Committee of the IEEE Computational Intelligence Society (2004?005) and an Associate Editor of IEEE TRANSACTIONS ON PATTERN RECOGNITION AND MACHINE INTELLIGENCE and IEEE TRANSACTIONS ON IMAGE PROCESSING.

        Xilin Chen received the BS, MS, and PhD degrees in computer science from Harbin Institute of Technology, China, in 1988, 1991, and 1994, respectively. He was a professor with Harbin Institute of Technology from 1999 to 2005. He was a visiting scholar with Carnegie Mellon University, Pittsburgh, Pennsylvania, from 2001 to 2004. He has been a professor with the Institute of Computing Technology, Chinese Academy of Sciences (CAS), Beijing, since August 2004. He is the director of the Key Laboratory of Intelligent Information Processing, CAS. He has published one book and more than 150 papers in refereed journals and conference proceedings in the areas of computer vision, pattern recognition, image processing, and multimodal interfaces. He is an associate editor of the IEEE Transactions on Image Processing and an area editor of the Journal of Computer Science and Technology. He has served as a program committee member for more than 30 international conferences. He has received several awards, including the China’s State Scientific and Technological Progress Award in 2000, 2003, and 2005 for his research work, and he is a senior member of the IEEE and a member of the IEEE Computer Society.

Copyright© 2010-2011 International Conference on Neural Information Processing. All rights reserved.