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Chenlei Guo
Department of Electronics Engineering
Fudan University
No. 220, Handan Road
Shanghai 200433, China
Phone: +86-1381-732-8856
Email: chenlei.guo@gmail.com
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Research Interests:
My research goal is to discover the computational principles underlying the human brain’s remarkable ability to learn, process and store information, with a concentration in the visual cortex in order to build biologically-inspired vision system. I believe that research in visual attention should not only be limited to modeling neural and behavioral data but should also be extended to practical applications. To achieve my goal, I have proposed an attention selection model with online learning and visual memory. My past work focused on cognitive mapping of my attention model. I developed a visual memory model to mimic both Short-Term Memory (STM) and Long-Term Memory (LTM) in human brain. My model could perform various tasks by learning. Currently, my work focuses on three aspects:
- Spatio-temporal saliency detection in a complex scene. (CVPR Demos, CVPR Paper, ROC Analysis, Multi-resolution Saliency Model, TIP Paper). The run time of the PQFT/PFT model is less than 1 ms per image/frame at 64x64 resolution in C/C++ implementation.
- Brain Computer Interface (BCI) provides a way for people to communicate with computers just by thinking, which causes my great interest. Signals from BCI can be a big supplement to bolster the performance of vision system. The challenge lies in how to combine the information from computational models and brain in an efficient and effective way. I will make in-depth research in this area if I have a chance.
Selected Publications:
- A Novel Multi-resolution Spatio-temporal Saliency Detection Model and its Applications in Image
and Video Compression,
Guo C.L. and Zhang L.M.
IEEE Trans. on Image Processing, Accepted.
- Spatio-temporal Saliency Detection Using Phase Spectrum of Quaternion Fourier Transform,
Guo C.L., Ma Q. and Zhang L.M.
in Proc CVPR2008, 116.
- A Visual Memory Model with Amnesic Function and Its Application in Attention Selection,
Guo C.L. and Zhang L.M.
Pattern Recogntion and Artificial Intelligence (in Chinese), vol.21(3), 2008.
- An Attention Selection Model with Visual Memory and Online Learning,
Guo C.L. and Zhang L.M.
International Joint Conference on Neural Networks 2007, 1348. (Oral Presentation)
- Attention Selection with Self-supervised Competition Neural Network and Its Applications in Robot,
Guo C.L. and Zhang L.M.
International Symposium of Neural Networks 2007, Vol.4491 LNCS, pp.727-763. (Poster Presentation)
- An Attention Selection System Based on Neural Network and Its Application in Tracking Objects,
Guo C.L. and Zhang L.M.
International Symposium of Neural Networks 2006, Vol.3972 LNCS, pp.404-410. (Oral Presentation)
Selected Projects:
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Spatio-temporal Saliency Detection
(Demos Available) |
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Attention Selection Model with Learning Ability |
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More projects
