Home	People	Research	Publications	Demos
News	Jobs	Prospective Students	About	Internal

Dashan Gao Department of Electrical and Computer Engineering, University of California, San Diego 9500 Gilman Drive, Mail code 0409 EBU 1, Room 5512 La Jolla, CA 92093-0409 dgao @ u c s d . e d u Phone: (858) 534-4538

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.
Research:
	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.
Main Projects:
	Discriminant Hypothesis for Visual Saliency a decision-theoretic formulation of visual saliency, its biological plausibility, and applications to computer vision. [details] Bottom-up Saliency and Its Biological Plausibility biological plausibility of bottom-up saliency by combination of the discriminant hypothesis and center-surround operators. [details] Top-down Discriminant Saliency learning discriminant salient features for visual recognition. [details]
Publications:
	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 Ph.D. Dissertation Dashan Gao, A discriminant hypothesis for visual saliency: computational principles, biological plausibility and applications in computer vision University of California San Diego, September 2008 [pdf]
Other Talks, Abstracts and Technical Reports:
	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]
Patents:
	System and Method for Decomposing A Digital Image Y. Wang, D. Gao, H. Hindi, M. B. Do, Application No. 20061855-US-NP (Palo Alto Research Center, Inc.).

Copyright @ 2007 www.svcl.ucsd.edu