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研究人員 ｜ Research Faculty
● Research Fellow, IIS, Academia Sinica (2010 ~ ) Research Award for Junior Research Investigators, Academia Sinica
劉庭祿 Tyng-Luh Liu ● Associate Research Fellow, IIS, Academia Sinica (2005 ~2010) (2006)
● Adjunct Associate Professor, National Tsing Hua University (2006 ~ ) Associate Editor, Journal of Information Science and Engineering
● Assistant Research Fellow, IIS, Academia Sinica (1998 ~ 2005) (2008 ~ 2011)
● Adjunct Assistant Professor, National Taiwan Normal University Managing Editor, Journal of Information Science and Engineering
研究員 Research Fellow (2002 ~ 2005) (2010 ~ )
Ph.D., Computer Science, New York University ● Postdoc Research Associate, Courant Institute of Mathematical Sci-
ences (1997 ~ 1998)
Tel: +886-2-2788-3799 ext. 1508 ● Ph.D., Computer Science, New York University (1997)
Fax: +886-2-2782-4814
Email: liutyng@iis.sinica.edu.tw
http://www.iis.sinica.edu.tw/pages/liutyng
代表著作 Publications
1. Tyng-Luh Liu, Mike Donahue, Davi Geiger, and Robert Hummel. puter Society International Conference on Computer Vision and Pat-
th
“Image Recognition with Occlusions,” Appeared in Proc. 4 Euro- tern Recognition, vol. 2, pp. 846-853, San Diego, CA, USA, June
研究簡介 Research Description pean Conf. on Computer Vision, Lecture Notes in Computer Science 2005. (CVPR-2005)
1064, pp. 556-565, Cambridge, UK, 1996. (ECCV-1996)
14. Hwann-Tzong Chen, Tyng-Luh Liu, and Chiou-Shann Fuh. “Learn-
我的研究領域為電腦視覺、與發展機器學習方法在電腦 My research has focused on computer vision and machine learning methods that 2. Mike Donahue, Davi Geiger, Robert Hummel, and Tyng-Luh Liu. ing Effective Image Metrics from Few Pairwise Examples,” Appeared
視覺上的應用。其中有關物件偵測、辨識與場景認知等 support the related applications. Specifically, I am most interested in understanding “Sparse Representations for Image Decomposition with Occlusions,” in the 10th IEEE International Conference on Computer Vision, vol.
2, pp. 1371-1378, Beijing, China, October 2005. (ICCV-2005)
Appeared in Proc. Computer Vision and Pattern Recognition, pp.
問題，更是我主要的研究興趣。最近，我與我的學生把 the fundamentals, and developing new techniques for object detection, recogni- 7-12, San Francisco, 1996. (CVPR-1996)
研究重心聚焦於探討物件的辨識與分類，特別是針對物 tion, and scene understanding. 3. Tyng-Luh Liu, Davi Geiger, and Robert V. Kohn. “Representation 15. Yen-Yu Lin, Tyng-Luh Liu, and Hwann-Tzong Chen. “Semantic
Manifold Learning for Image Retrieval,” Appeared in ACM Multime-
件類別分布廣泛的情況。為了更有效地解決這類難題， and Self-Similarity of Shapes,” Appeared in 6 International Con- dia Conference, Singapore, November 2005. (ACM MM-2005)
th
我們已設計並開發出一些新的電腦視覺演算法，如降維 More recently, my colleagues and I have worked mainly in the area of object rec- ference on Computer Vision, pp. 1129-1135, Bombay, India, January 16. Hwann-Tzong Chen, Tyng-Luh Liu, and Chiou-Shann Fuh. “Tone
分析、相似尺度學習與多類型特徵表示的結合。這個研 ognition/categorization for objects from broad and diverse categories. To more ef- 1998. (ICCV-1998) Reproduction: A Perspective from Luminance-Driven Perceptual
究主軸也將會是我未來幾年的工作方向與重點。 fectively solve the problems, we have introduced a number of new approaches that 4. Davi Geiger, Tyng-Luh Liu, and Michael J. Donahue. “Sparse Rep- Grouping,” International Journal of Computer Vision, vol. 65, no.
address the issues of dimensionality reduction, distance learning, information and
resentations for Image Decompositions,” International Journal of 1-2, pp. 73-96, November 2005. (IJCV)
feature fusion, etc. Future work along this line will continue to be the thrust of my Computer Vision, vol. 33(2), pp. 139-156, September 1999. (IJCV)
research for the next few years. 17. Tien-Lung Chang, Tyng-Luh Liu, and Jen-Hui Chuang. “Direct En-
5. Tyng-Luh Liu and Davi Geiger. “Approximate Tree Matching and ergy Minimization for Super-Resolution on Nonlinear Manifolds,”
Shape Similarity,” Appeared in 7 International Conference on Com- Appeared in 9 European Conference on Computer Vision, Lecture
th
th
puter Vision, pp. 456-462, Kerkyra, Greece, September 1999. (ICCV- Notes in Computer Science 3954, pp. 281-294, Graz, Austria, May
1999) 2006. (ECCV-2006)
6. Hwann-Tzong Chen and Tyng-Luh Liu. “Trust-Region Methods for 18. Hwann-Tzong Chen, Tyng-Luh Liu, and Chiou-Shann Fuh. “Seg-
Real-Time Tracking,” Appeared in 8th International Conference on menting Highly Articulated Video Objects with Weak-Prior Random
Computer Vision, Vol. 2, pp. 717-722, Vancouver, Canada, July 2001. Forests,” Appeared in 9 European Conference on Computer Vision,
th
(ICCV-2001) Lecture Notes in Computer Science 3954, pp. 373-385, Graz, Austria,
May 2006. (ECCV-2006)
7. Hwann-Tzong Chen, Horng-Horng Lin, and Tyng-Luh Liu. “Multi-
Object Tracking Using Dynamical Graph Matching,” Appeared in 19. Yen-Yu Lin, Tyng-Luh Liu, and Chiou-Shann Fuh. “Local Ensem-
IEEE Computer Society Conference on Computer Vision and Pattern ble Kernel Learning for Object Category Recognition” Appeared in
Recognition, Vol. 2, pp. 210-217, Kauai, Hawaii, December 2001. IEEE Computer Society International Conference on Computer Vi-
(CVPR-2001) sion and Pattern Recognition, Minneapolis, MN, USA, June 2007.
(CVPR-2007)
8. Davi Geiger, Tyng-Luh Liu, and Robert V. Kohn. “Representation
and Self-Similarity of Shapes,” IEEE Transactions on Pattern Analy- 20. Tien-Lung Chang, Tyng-Luh Liu, and Jen-Hui Chuang. “Improving
sis and Machine Intelligence, vol. 25, no. 1, pp. 86-99, January 2003. Local Learning for Object Categorization by Exploring the Effects of
(TPAMI) Ranking,” Appeared in IEEE Computer Society International Confer-
ence on Computer Vision and Pattern Recognition, Anchorage, AK,
9. Tyng-Luh Liu and Hwann-Tzong Chen. “Real-Time Tracking Us- USA, June 2008. (CVPR-2008)
ing Trust-Region Methods,” IEEE Transactions on Pattern Analysis
and Machine Intelligence, vol. 26, no. 3, pp. 397-402, March 2004. 21. Yen-Yu Lin, Tyng-Luh Liu, and Chiou-Shann Fuh. “Dimensionality
(TPAMI) Reduction for Data in Multiple Feature Representations,” Appeared
in Advances in Neural Information Processing Systems 21, edited by
10. Yen-Yu Lin, Tyng-Luh Liu, and Chiou-Shann Fuh. “Fast Object De-
th
tection with Occlusions,” Appeared in 8 European Conference on D. Koller, Y. Bengio, D. Schuurmans, L. Bottou, and A. Culotta, pp.
Computer Vision, Lecture Notes in Computer Science 3021, pp. 402- 961-968, MIT Press, Cambridge MA, 2009. (NIPS-2008)
413, Prague, Czech Republic, May 2004. (ECCV-2004) 22. Kai-Yueh Chang, Tyng-Luh Liu, and Shang-Hong Lai. “Learning
Partially-Observed Hidden Conditional Random Fields for Facial
11. Hwann-Tzong Chen, Tyng-Luh Liu, and Tien-Lung Chang. “Tone
Reproduction: A Perspective from Luminance-Driven Perceptual Expression Recognition,” Appeared in IEEE Computer Society Inter-
Grouping,” Appeared in IEEE Computer Society International Con- national Conference on Computer Vision and Pattern Recognition,
ference on Computer Vision and Pattern Recognition, vol. 2, pp. 369- Miami, FL, USA, June 2009. (CVPR-2009)
376, San Diego, CA, USA, June 2005. (CVPR-2005) 23. Yen-Yu Lin, Jyun-Fan Tsai, and Tyng-Luh Liu. “Efficient Discrimi-
native Local Learning for Object Recognition,” Appeared in the 12
th
12. Yen-Yu Lin and Tyng-Luh Liu. “Robust Face Detection with Multi-
Class Boosting,” Appeared in IEEE Computer Society International IEEE International Conference on Computer Vision, Kyoto, Japan,
Conference on Computer Vision and Pattern Recognition, vol. 1, pp. September 2009. (ICCV-2009)
679-686, San Diego, CA, USA, June 2005. (CVPR-2005)
13. Hwann-Tzong Chen, Huang-Wei Chang, and Tyng-Luh Liu. “Local
Discriminant Embedding and Its Variants,” Appeared in IEEE Com-
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