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Research Fellow  |  Liu, Tyng-Luh  
 
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Publications
 
1. Ching-Hang Chen, Tyng-Luh Liu, Yu-Shuen Wang, Hung-Kuo Chu, Nick C. Tang, Hong-Yuan Mark Liao, "Spatio-Temporal Learning of Basketball Offensive Strategies," to appear in 2015 ACM Multimedia Conference,.
2. Jyh-Jing Hwang and Tyng-Luh Liu, "Pixel-wise Deep Learning for Contour Detection," International Conference on Learning Representations (Workshop), May 2015.
3. Jyh-Jing Hwang and Tyng-Luh Liu, "Contour Detection Using Cost-Sensitive Convolutional Neural Networks," arXiv:1412.6857, December 2014.
4. Tsung-Yu Lin and Tyng-Luh Liu, "Efficient Binary Codes for Extremely High-dimensional Data," IEEE International Conference on Image Processing, October 2014, (ICIP)
5. Tyng-Luh Liu, Kai-Yueh Chang and Shang-Hong Lai, "Exploring Depth Information for Object Segmentation and Detection," International Conference on Pattern Recognition, August 2014, (ICPR)
6. Chun-Wei Liu and Tyng-Luh Liu, "A Sparse Linear Model for Saliency-Guided Decolorization," IEEE International Conference on Image Processsing, Melbourne, Australia, September 2013, (ICIP)
7. Ching-Ting Tu, Kung-Hung Lin and Tyng-Luh Liu, "A Two-dimensional Direct Combined Model for Facial Hallucination," IAPR International Conference on Machine Vision Applications, Kyoto, Japan, May 2013.
8. Kai-Yueh Chang, Tyng-Luh Liu, Hwann-Tzong Chen, and Shang-Hong Lai, "Fusing Generic Objectness and Visual Saliency for Salient Object Detection," International Conference on Computer Vision, Barcelona, Spain, November 2011, (ICCV) :::icon
9. Yen-Yu Lin, Tyng-Luh Liu, and Chiou-Shann Fuh, "Multiple Kernel Learning for Dimensionality Reduction," IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 33, number 6, pages 1147-1160, June 2011, (TPAMI) :::icon
10. Kai-Yueh Chang, Tyng-Luh Liu, and Shang-Hong Lai, "From Co-saliency to Co-segmentation: An Efficient and Fully Unsupervised Energy Minimization Model," IEEE Computer Society International Conference on Computer Vision and Pattern Recognition, Colorado Springs, CO, USA, June 2011, (CVPR) :::icon
11. Horng-Horng Lin, Jen-Hui Chuang, and Tyng-Luh Liu, "Regularized Background Adaptation: A Novel Learning Rate Control Scheme for Gaussian Mixture Modeling," IEEE Transactions on Image Processing, volume 20, number 3, pages 822-836, March 2011, (TIP)
12. Yen-Yu Lin, Tyng-Luh Liu, and Chiou-Shann Fuh, "Clustering Complex Data with Group-Dependent Feature Selection," 11th European Conference on Computer Vision, Springer, Crete, Greece, September 2010, (ECCV) :::icon
13. Yen-Yu Lin, Jyun-Fan Tsai, and Tyng-Luh Liu, "Efficient Discriminative Local Learning for Object Recognition," International Conference on Computer Vision, Kyoto, Japan, September 2009, (ICCV) :::icon
14. Kai-Yueh Chang, Tyng-Luh Liu, and Shang-Hong Lai, "Learning Partially-Observed Hidden Conditional Random Fields for Facial Expression Recognition," Conference computer Vision and Pattern Recognition, Miami, FL, USA, June 2009, (CVPR) :::icon
15. Horng-Horng Lin, Tyng-Luh Liu, and Jen-Hui Chuang, "Learning a Scene Background Model via Classification," IEEE Transactions on Signal Processing, volume 57, number 5, pages 1641--1654, May 2009, (TSP)
16. Yen-Yu Lin, Tyng-Luh Liu, and Chiou-Shann Fuh, "Dimensionality Reduction for Data in Multiple Feature Representations," Advances in Neural Information Processing Systems 21, MIT Press, 2009, (NIPS) :::icon
17. Tien-Lung Chang, Tyng-Luh Liu, and Jen-Hui Chuang, "Improving Local Learning for Object Categorization by Exploring the Effects of Ranking," Conference computer Vision and Pattern Recognition, nchorage, AK, USA, June 2008, (CVPR) :::icon
18. Yen-Yu Lin, Tyng-Luh Liu, and Chiou-Shann Fuh, "Local Ensemble Kernel Learning for Object Category Recognition," Conference computer Vision and Pattern Recognition, Minneapolis, MN, USA, June 2007, (CVPR, Oral) :::icon
19. Hwann-Tzong Chen, Tyng-Luh Liu, and Chiou-Shann Fuh, "Segmenting Highly Articulated Video Objects with Weak-Prior Random Forests," 9th European Conference on Computer Vision, Lecture Notes in Computer Science, 3954, Springer, pages pp. 375-385, Graz, Austria, May 2006, (ECCV) :::icon
20. Tien-Lung Chang, Tyng-Luh Liu, and Jen-Hui Chuang, "Direct Energy Minimization for Super-Resolution on Nonlinear Manifolds," 9th European Conference on Computer Vision, Lecture Notes in Computer Science, 3954, Springer, pages pp. 281-294, Graz, Austria, May 2006, (ECCV) :::icon
21. Hwann-Tzong Chen, Tyng-Luh Liu, and Chiou-Shann Fuh, "Tone Reproduction: A Perspective from Luminance-Driven Perceptual Grouping," International Journal of Computer Vision, volume 65, number 1-2, pages 73--96, November 2005, (IJCV)
22. Yen-Yu Lin, Tyng-Luh Liu, and Hwann-Tzong Chen, "Semantic Manifold Learning for Image Retrieval," ACM Multimedia, Singapore, November 2005, (ACM MM, Best Student Papers Session) :::icon
23. Hwann-Tzong Chen, Tyng-Luh Liu, and Chiou-Shann Fuh, "Learning Effective Image Metrics from Few Pairwise Examples," International Conference on Computer Vision, volume 2, pages 1371-1378, Beijing, China, October 2005, (ICCV) :::icon
24. Hwann-Tzong Chen, Tyng-Luh Liu, and Tien-Lung Chang, "Tone Reproduction: A Perspective from Luminance-Driven Perceptual Grouping," Conference computer Vision and Pattern Recognition, volume 2, pages 369-376, San Diego, CA, USA, June 2005, (CVPR) :::icon
25. Hwann-Tzong Chen, Huang-Wei Chang, and Tyng-Luh Liu, "Local Discriminant Embedding and Its Variants," Conference computer Vision and Pattern Recognition, volume 2, pages 846-853, San Diego, CA, USA, June 2005, (CVPR, Oral) :::icon
26. Yen-Yu Lin and Tyng-Luh Liu, "Robust Face Detection with Multi-Class Boosting," Conference computer Vision and Pattern Recognition, volume 1, pages 679-686, San Diego, CA, USA, June 2005, (CVPR) :::icon
27. Yen-Yu Lin, Tyng-Luh Liu and Chiou-Shann Fuh, "Fast Object Detection with Occlusions," 8th European Conference on Computer Vision, pages 402-413, Prague, Czech Republic, May 2004, (ECCV) :::icon
28. Tyng-Luh Liu and Hwann-Tzong Chen, "Real-Time Tracking Using Trust-Region Methods," IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 26, number 3, pages 397-402, March 2004, (TPAMI)
29. Davi Geiger, Tyng-Luh Liu and Robert V. Kohn, "Representation and Self-Similarity of Shapes," IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 25, number 1, pages 86-99, January 2003, (TPAMI)
30. Hwann-Tzong Chen, Horng-Horng Lin and Tyng-Luh Liu, "Multi-Object Tracking Using Dynamical Graph Matching," IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Kauai, Hawaii, December 2001, (CVPR) :::icon
31. Hwann-Tzong Chen and Tyng-Luh Liu, "Trust-Region Methods for Real-Time Tracking," 8th International Conference on Computer Vision, volume 2, pages 717-722, Vancouver, Canada, July 2001, (ICCV) :::icon
32. Davi Geiger, Tyng-Luh Liu and Michael J. Donahue, "Sparse Representations for Image Decompositions," International Journal of Computer Vision, volume 33, number 2, pages 139-156, September 1999, (IJCV)
33. Tyng-Luh Liu and Davi Geiger, "Approximate Tree Matching and Shape Similarity," 7th International Conference on Computer Vision, pages 456-462, Kerkyra, Greece, September 1999, (ICCV) :::icon
34. Tyng-Luh Liu, Davi Geiger and Robert V. Kohn, "Representation and Self-Similarity of Shapes," 6th International Conference on Computer Vision, pages 1129-1135, Bombay, India, January 1998, (ICCV) :::icon
35. Mike Donahue, Davi Geiger, Robert Hummel and Tyng-Luh Liu, "Sparse Representations for Image Decomposition with Occlusions," Proc. Computer Vision and Pattern Recognition, pages 7-12, San Francisco, 1996, (CVPR, Oral)
36. Tyng-Luh Liu, Mike Donahue, Davi Geiger and Robert Hummel, "Image Recognition with Occlusions," 4th European Conference on Computer Vision, Lecture Notes in Computer Science, 1064, pages 556-565, London, 1996, (ECCV)
 
 
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