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I am now a PhD candidate in
Statistical Visual Computing Lab,
ECE department,
UCSD. I received my B.S. and M.S. from
Department of Automation,
Tsinghua University, Beijing, China,
in 1999 and 2002.
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Research: |
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My research interests includes computer vision, statistical learning, and
computational modeling of biological visual saliency.
The research projects I am working on include
1) object detection and classification
from semi-supervised examples, which involves salient point detection,
feature extraction, segmentation and probabilistic learning model,
and 2) biolgocially plausible modeling of bottom-up saliency mechanism.
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Main Projects: |
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Discriminant Hypothesis for Visual Saliency
a decision-theoretic formulation of visual saliency,
its biological plausibility, and applications to computer vision.
[details]
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Bottom-up Saliency and Its Biological Plausibility
biological plausibility of bottom-up saliency
by combination of the discriminant hypothesis and center-surround operators.
[details]
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Top-down Discriminant Saliency
learning discriminant salient features for visual recognition.
[details]
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Publications: |
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Journal articles
On the plausibility of the discriminant center-surround hypothesis
for visual saliency
Dashan Gao, Vijay Mahadevan and Nuno Vasconcelos
To appear in Journal of Vision.
Decision-theoretic saliency: computational principles, biological plausibility,
and implications for neurophysiology and psychophysics
Dashan Gao and Nuno Vasconcelos,
To appear in Neural Computation.
Discriminant saliency for visual recognition
Dashan Gao and Nuno Vasconcelos,
Submitted to IEEE Trans. Pattern Analysis and Machine Intelligence.
Moving Vehicle Detection for Automatic Traffic Monitoring
J. Zhou, D. Gao, and D. Zhang,
IEEE Transactions on Vehicular Technology, vol.56, no.1, pp.51-59, Jan. 2007
[pdf]
Conference papers
The discriminant center-surround hypothesis for bottom-up saliency
Dashan Gao, Vijay Mahadevan and Nuno Vasconcelos,
In Proc. Neural Information Processing Systems (NIPS),
Vancouver, Canada, 2007.
[ps]
[pdf]
Bottom-up saliency is a discriminant process
Dashan Gao and Nuno Vasconcelos,
In Proc. IEEE International Conference on Computer Vision (ICCV),
Rio de Janeiro, Brazil, 2007. ©
IEEE
[ps]
[pdf]
Discriminant Interest Points are Stable
Dashan Gao and Nuno Vasconcelos,
In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
p1-6, Minneapolis, June 2007. ©
IEEE
[ps]
[pdf]
Decompose Document Image Using Integer Linear Programming
Dashan Gao and Yizhou Wang,
In The 9th International Conference on Document Analysis and Recognition (ICDAR) ,
Brazil, Sep. 2007.
[pdf]
Decomposing Document Image by Heuristic Search
Dashan Gao and Yizhou Wang,
In Proc. The 6th International Conference Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR07) ,
China, Aug 2007.
[pdf]
Integrated learning of saliency, complex features, and objection detectors from cluttered scenes
Dashan Gao and Nuno Vasconcelos,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
San Diego, June 2005. ©
IEEE
[ps]
[pdf]
(A longer version is available
[ps]
[pdf])
An Experimental Comparison of Three Guiding Principles
for the Detection of Salient Image Locations: Stability, Complexity, and
Discrimination
Dashan Gao and Nuno Vasconcelos,
The 3rd International Workshop on Attention and Performance in Computational Vision (WAPCV),
San Diego, June 2005. ©
IEEE
[ps]
[pdf]
Discriminant Saliency for Visual Recognition from Cluttered Scenes
Dashan Gao and Nuno Vasconcelos,
Proceedings of Neural Information Processing Systems (NIPS),
Vancouver, Canada, 2004. [ps][pdf]
[code].
(The following papers were published when I was in Tsinghua University.)
A Novel Algorithm of Adaptive Background Estimation
Dashan Gao and Jie Zhou
Proceedings of IEEE International Conference of Image Processing (ICIP
2001), p395-398
SVM-based Detection of Moving Vehicles for Automatic Traffic Monitoring
Dashan Gao, Jie Zhou, and Leping Xin
Proceedings of IEEE Conference of Intelligent Transportation Systems (ITSC)
2001, p745~749
Adaptive background estimation for real-time traffic monitoring
Dashan Gao, Jie Zhou
Proceedings of IEEE Conference of Intelligent Transportation Systems (ITSC)
2001, p330~333
Automated Cartridge Identification for Firearm Authentication
Jie Zhou, Leping Xin, Dashan Gao, Changshui Zhang, and David Zhang
Proceedings of IEEE Conference of Computer Vision and Pattern Recognition (CVPR
2001), p749~754
Car License Plates Detection from Complex Scene
Dashan Gao, Jie Zhou
Proceedings of International Conference of Signal Processing (ICSP) 2000,
p1409~1414
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On the plausibility of the discriminant center-surround hypothesis
for visual saliency
Dashan Gao, Vijay Mahadevan, and Nuno Vasconcelos,
Computational and Systems Neuroscience (COSYNE) 2008,
Salt Lake City, UT, 2008.
[pdf]
V1 is an optimal saliency detector
Dashan Gao and Nuno Vasconcelos,
The 2007 Computational Cognitive Neuroscience Conference (CCNC 2007),
San Diego, CA, Nov. 2007.
[poster]
Decision-theoretic visual saliency and its implications for pre-attentive
vision
Dashan Gao and Nuno Vasconcelos,
The 40th Annual Meeting of the Society for Mathematical Psychology (MathPsych2007),
Irvine, CA, July 2007. (Oral Presentation)
A decision-theoretic saliency, its biological plausibility and implications for
pre-attentive vision
Dashan Gao and Nuno Vasconcelos,
Vision Sciences Society 7th Annual Meeting (VSS07),
Sarasota, FL, May 2007.
[ps]
[pdf]
[poster]
Decision-theoretic saliency: computational principles, biological plausibility and
implications for neurophysiology and psychophysics
Dashan Gao and Nuno Vasconcelos,
Computational and Systems Neuroscience (COSYNE) 2007,
Salt Lake City, UT, Feb. 2007.
[ps]
[pdf]
[poster]
A Bayesian Architecture for Combining Saliency Detectors
Dashan Gao and Nuno Vasconcelos,
Technical Report SVCL-TR-2005-01,
June 2005.
[ps]
[pdf]
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