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研究員
陳祝嵩 Chu-Song Chen

Research Fellow
Ph.D., Computer Science and Information Engineering, National Taiwan
Tel: +886-2-2788-3799 ext. 1310 Fax: +886-2-2782-4814
Email: song@iis.sinica.edu.tw
http://www.iis.sinica.edu.tw/pages/song

● Deputy Director, CITI, Academia Research Description
Sinica (2008- )
● Adjunct Professor, GINM, National I received a B.S. degree in Control Engineering from National Chiao-Tung University, Taiwan,
Taiwan University (2009- ) in 1989. I received an M.S. degree in 1991 and a Ph.D. degree in 1996, respectively, both from
the Department of Computer Science and Information Engineering, National Taiwan Uni-
● 理事, IPPR Society, Taiwan (2009- versity. I am now a research fellow of the Institute of Information Science (IIS), and a deputy
2012)
director of the Research Center for Information Technology Innovation (CITI), Academia Si-
● Secretary-General, IPPR Society, nica, Taiwan. I also serve as an adjunct professor and teach at the Graduate Institute of Net-
Taiwan (2007-2008)
working and Multimedia, National Taiwan University. I am on the editorial board of Journal
● Associate Research Fellow, IIS, of Multimedia (Academy Publisher), Machine Vision and Applications (Springer), IPSJ Trans.
Academia Sinica (2003-2008) on Computer Vision and Applications, and Journal of Information Science and Engineering.
● Adjunct Associate Professor, I served as a theme chair at the PSIVT’09 conference, area chair at the ACCV’09, ACCV’10,
NTPU, Dept. of CSIE (2004-2005) and NBiS’10 conferences, program chair of the IMV’12 and IMV’13 workshops, and tutorial
● Joint Appointment Assistant chair of the ACCV’14 conference. My main research directions include pattern recognition,
Professor, NTNU, Dept. of GAC computer vision, machine learning, and image/signal processing. I have published more
(2001-2004) than 100 technical papers in these elds. One of my main research focuses is the develop-

● Assistant Research Fellow, IIS, ment of machine learning and pattern recognition algorithms e ective for computer vi-
Academia Sinica (1999-2003) sion applications. I am also interested in developing sparse-signal processing algorithms
for both analysis and synthesis purposes. Current research focuses include dictionary learn-
ing, object detection and recognition, visual surveillance systems, facial expression analysis,

and age insensitive face recognition. Speci c topics include the development of more ef-
fective algorithms for co-sparse oriented analysis dictionary learning, as well as the application of deep convolutional network learning
techniques for object detection.

Publications

1. Hsin-Ho Yeh, Keng-Hao Liu, and Chu-Song Chen, “Salient 6. Hsin-Chien Huang, Yung-Yu Chuang and Chu-Song Chen,
Object Detection via Local Saliency Estimation and Global “Multiple Kernel Fuzzy Clustering,” IEEE Transactions on
Homogeneity Refinement,” Pattern Recognition, Volume 47, Fuzzy Systems, volume 20, number 1, pages 120-134, Febru-

Issue 4, pages 1740–1750, April 2014. ary 2012.
2. Kuang-Yu Chang, Cheng-Fu Lin, Chu-Song Chen, and Yi- 7. Chun-Rong Huang, Kuo-Chuan Chiu, and Chu-Song Chen,

Ping Hung, “ Single-Pass K-SVD for Efficient Dictionary “Temporal Color Consistency based Video Reproduction for
Learning,” Circuits, Systems, and Signal Processing, Vol. 33, Dichromats,” IEEE Transactions on Multimedia, volume 13,
Issue 1, pages 309-320, January 2014. number 5, pages 950-960, October 2011
3. Hsin-Ho Yeh, Chun-Yu Yang, Ming-Sui Lee, and Chu-Song 8. Kuang-Yu Chang, Chu-Song Chen, and Yi-Ping Hung, “Or-
Chen, “Video Aesthetic Quality Assessment by Temporal Inte- dinal Hyperplanes Ranker with Cost Sensitivities for Age Es-
gration of Photo- and Motion-based Features,” IEEE Transac- timation,” IEEE Computer Society Conference on Computer
tions on Multimedia, volume 15, number 8, pages 1944-1957, Vision and Pattern Recognition, CVPR 2011, June 2011.
December 2013.
9. Lu-Hung Chen, Yao-Hsiang Yang, Chu-Song Chen, and
4. Wen-Sheng Chu, Chun-Rong Huang, and Chu-Song Chen, Ming-Yen Cheng, “Illumination Invariant Feature Extraction

“Gender classification from unaligned facial images using Based on Natural Images Statistics – Taking Face Images as
support subspaces,” Information Sciences, volume 221, pages an Example,” IEEE Computer Society Conference on Com-
98-109, February 2013. puter Vision and Pattern Recognition, CVPR 2011, June 2011.
5. Hsin-Chien Huang, Yung-Yu Chuang, and Chu-Song Chen, 10. Yong-Dian Jian and Chu-Song Chen, “Two-View Motion
“Affinity Aggregation for Spectral Clustering,” IEEE Com- Segmentation with Model Selection and Outlier Removal by

puter Society Conference on Computer Vision and Pattern RANSAC-Enhanced Dirichlet Process Mixture Models,” In-
Recognition, CVPR 2012, June 2012 ternational Journal of Computer Vision, volume 88, number
3, July 2010.

82 研究人員 Research Faculty