Research Fellow/Professor  |  Liu, Tyng-Luh       Publications   1. Lo-Wei Tai, Ching-En Li, Cheng-Lin Chen, Chih-Jung Tsai, Hwann-Tzong Chen and Tyng-Luh Liu, "EigenGS Representation: From Eigenspace to Gaussian Image Space," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2025, (CVPR) 2. Pei-Kai Huang, Jun-Xiong Chong, Cheng-Hsuan Chiang, Tzu-Hsien Chen, Tyng-Luh Liu and Chiou-Ting Hsu, "SLIP: Spoof-aware One-class Face Anti-Spoofing with Language Image Pretraining," The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), Philadelphia, PA, USA, February 2025, (AAAI) 3. Li-Heng Wang, YuJu Cheng and Tyng-Luh Liu, "Tracking Everything Everywhere across Multiple Cameras," The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), Philadelphia, PA, USA, February 2025, (AAAI) 4. Cheng-Yao Hong and Tyng-Luh Liu, "Multimodal Promptable Token Merging for Diffusion Models," The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), Philadelphia, PA, USA, February 2025, (AAAI) 5. Chen‑Hao Hsu, Chun‑Fu Yeh, I‑Shen Huang, et al., "Artificial Intelligence Interpretation of Touch Print Smear Cytology of Testicular Specimen from Patients with Azoospermia," Journal of Assisted Reproduction and Genetics, volume 41, pages 3179--3187, November 2024. 6. Chih-Jung Tsai, Hwann-Tzong Chen and Tyng-Luh Liu, "Pseudo-Embedding for Generalized Few-Shot 3D Segmentation," 18th European Conference on Computer Vision, Milan, Italy, September 2024, (ECCV) 7. Chieh Liu, Yu-Min Chu, Ting-I Hsieh, Hwann-Tzong Chen and Tyng-Luh Liu, "Learning Diffusion Models for Multi-View Anomaly Detection," 18th European Conference on Computer Vision, Milan, Italy, September 2024, (ECCV) 8. Pei-Kai Huang, Cheng-Hsuan Chiang, Tzu-Hsien Chen, Jun-Xiong Chong, Tyng-Luh Liu and Chiou-ting Hsu, "One-Class Face Anti-spoofing via Spoof Cue Map-Guided Feature Learning," IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 2024, (CVPR) 9. Cheng-Yao Hong, Yen-Chi Hsu and Tyng-Luh Liu, "Contrastive Learning for DeepFake Classification and Localization via Multi-Label Ranking," IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle, USA, June 2024, (CVPR) 10. Yi-Wei Cheng, Po-Chih Kuo, Shih-Hong Chen, Yu-Ting Kuo, Tyng-Luh Liu, Wing-Sum Chan, Kuang-Cheng Chan and Yu-Chang Yeh, "Early Prediction of Mortality at Sepsis Diagnosis Time in Critically Ill Patients by Using Interpretable Machine Learning," Journal of Clinical Monitoring and Computing, volume 38, number 2, pages 271--279, April 2024. 11. Cheng-Yao Hong, Yu-Ying Chou and Tyng-Luh Liu, "Attention Discriminant Sampling for Point Clouds," International Conference on Computer Vision, Paris, France, October 2023, (ICCV) 12. Yu-Min Chu, Chieh Liu, Ting-I Hsieh, Hwann-Tzong Chen and Tyng-Luh Liu, "Shape-Guided Dual-Memory Learning for 3D Anomaly Detection," 40th International Conference on Machine Learning, Hawaii, USA, July 2023, (ICML) 13. Yen-Chi Hsu, Cheng-Yao Hong, Ming-Sui Lee, Davi Geiger and Tyng-Luh Liu, "ABC-Norm Regularization for Fine-Grained and Long-Tailed Image Classification," IEEE Transactions on Image Processing, volume 32, pages 3885-3896, July 2023, (TIP) 14. He-Yen Hsieh, Ding-Jie Chen, Cheng-Wei Chang and Tyng-Luh Liu, "One-shot Action Detection via Attention Zooming In," IEEE International Conference on Acoustics, Speech and Signal Processing, Rhodes Island, Greece, June 2023, (ICASSP) 15. Wan-Cyuan Fan, Cheng-Yao Hong, Yen-Chi Hsu and Tyng-Luh Liu, "IoU-Aware Multi-Expert Cascade Network via Dynamic Ensemble for Long-tailed Object Detection," IEEE International Conference on Acoustics, Speech and Signal Processing, Rhodes Island, Greece, June 2023, (ICASSP) 16. He-Yen Hsieh, Ding-Jie Chen, Cheng-Wei Chang and Tyng-Luh Liu, "Aggregating Bilateral Attention for Few-Shot Instance Localization," Winter Conference on Applications of Computer Vision, Hawaii, USA, January 2023, (WACV) 17. Jhih-Ciang Wu, He-Yen Hsieh, Ding-Jie Chen, Chiou-Shann Fuh and Tyng-Luh Liu, "Self-Supervised Sparse Representation for Video Anomaly Detection," 17th European Conference on Computer Vision, Tel-Aviv, Israel, October 2022, (ECCV) 18. Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu, Yubei Chen and Yann LeCun, "Decoupled Contrastive Learning," 17th European Conference on Computer Vision, Tel-Aviv, Israel, October 2022, (ECCV) 19. Robert Kaderka, Keng-Chi Liu, Lawrence Liu, Reynald VanderStraeten, Tyng-Luh Liu, Kuang-Min Lee, Yi-Chin Ethan Tu, Iain MacEwan, Daniel Simpson, James Urbanic and Chang Chang, "Toward Automatic Beam Angle Selection for Pencil-Beam Scanning Proton Liver Treatments: A Deep Learning–based Approach," Medical Physics, volume 49, number 7, pages 4293-4304, July 2022, (Editor's Choice) 20. Wen-Li Wei, Jen-Chun Lin, Tyng-Luh Liu, and Hong-Yuan Mark Liao, "Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2022. ::: 21. Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu and Tyng-Luh Liu, "SAGA: Self-Augmentation with Guided Attention for Representation Learning," 2022 IEEE International Conference on Acoustics, Speech and Signal Processing, May 2022, (ICASSP) 22. Ta-Ying Cheng, Hsuan-ru Yang, Niki Trigoni, Hwann-Tzong Chen and Tyng-Luh Liu, "Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction," Thirty-Sixth AAAI Conference on Artificial Intelligence, February 2022, (AAAI) 23. Jun-Liang Lin, Tsung-Ting Hsieh, Yi-An Tung, Xuan-Jun Chen, Yu-Chun Hsiao, Chia-Lin Yang, Tyng-Luh Liu and Chien-Yu Chen, "ezGeno: An Automatic Model Selection Package for Genomic Data Analysis," Bioinformatics, volume 38, number 1, pages 30-37, January 2022. 24. He-Yen Hsieh , Ding-Jie Chen, and Tyng-Luh Liu, "Contextual Proposal Network for Action Localization," Winter Conference on Applications of Computer Vision, January 2022, (WACV) 25. Lung-Wen Tsai, Kuo-Ching Yuan, Sen-Kuang Hou, Wei-Lin Wu, Chen-Hao Hsu, Tyng-Luh Liu, Kuang-Min Lee, Chiao-Hsuan Li, Hann-Chyun Chen, Ethan Tu, Rajni Dubey, Chun-Fu Yeh and Ray-Jade Chen, "Determining Carina and Clavicular Distance-Dependent Positioning of Endotracheal Tube in Critically Ill Patients: An Artificial Intelligence-Based Approach," Biology, volume 11, number 4, 2022. 26. Jhih-Ciang Wu, Ding-Jie Chen, Chiou-Shann Fuh and Tyng-Luh Liu, "Learning Unsupervised Metaformer for Anomaly Detection," International Conference on Computer Vision, October 2021, (ICCV) 27. Jun-Liang Lin, Yi-Lin Sung, Cheng-Yao Hong, Han-Hung Lee and Tyng-Luh Liu, "The Maximum a Posteriori Estimation of DARTS," IEEE International Conference on Image Processing, Anchorage, Alaska, USA, September 2021. 28. Jhih-Ciang Wu, Sherman Lu, Chiou-Shann Fuh and Tyng-Luh Liu, "One-Class Anomaly Detection via Novelty Normalization," Computer Vision and Image Understanding, volume 210, pages 103226, September 2021. 29. Ding-Jie Chen, He-Yen Hsieh and Tyng-Luh Liu, "Adaptive Image Transformer for One-Shot Object Detection," IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 2021, (CVPR) 30. Ding-Jie Chen, He-Yen Hsieh and Tyng-Luh Liu, "Referring Image Segmentation via Language-Driven Attention," International Conference on Robotics and Automation, May 2021, (ICRA) 31. Yu-Ying Chou, Hsuan-Tien Lin and Tyng-Luh Liu, "Adaptive and Generative Zero-Shot Learning," Ninth International Conference on Learning Representations, May 2021, (ICLR) 32. Pin-Hao Huang, Han-Hung Lee, Hwann-Tzong Chen and Tyng-Luh Liu, "Text-guided Graph Neural Networks for Referring 3D Instance Segmentation," Thirty-Fifth AAAI Conference on Artificial Intelligence, February 2021, (AAAI) 33. Wen-Li Wei, Jen-Chun Lin, Tyng-Luh Liu, Hsiao-Rong Tyan, Hsin-Min Wang and Hong-Yuan Mark Liao, "Learning to Visualize Music Through Shot Sequence for Automatic Concert Video Mashup," IEEE Transactions on Multimedia, volume 23, pages 1731-1743, 2021. 34. Yi-Lin Sung, Cheng-Yao Hong, Yen-Chi Hsu, and Tyng-Luh Liu, "Video Summarization with Anchors and Multi-head Attention," IEEE International Conference on Image Processing, Online (United Arab Emirates), October 2020. 35. Jen-Chun Lin, Wen-Li Wei, Yen-Yu Lin, Tyng-Luh Liu, and Hong-Yuan Mark Liao, "Learning From Music to Visual Storytelling of Shots: A Deep Interactive Learning Mechanism," ACM Multimedia Conference, Online (Seattle, USA), October 2020, (ACM MM) 36. He-Yen Hsieh, Ding-Jie Chen, and Tyng-Luh Liu, "Temporal Action Proposal Generation via Deep Feature Enhancement," IEEE International Conference on Image Processing, Online (United Arab Emirates), October 2020. 37. Hsien-Tzu Cheng, Chun-Fu Yeh, Po-Chen Kuo, Andy Wei, Keng-Chi Liu, Mong-Chi Ko, Kuan-Hua Chao, Yu-Ching Peng, and Tyng-Luh Liu, "Self-similarity Student for Partial Label Histopathology Image Segmentation," 16th European Conference on Computer Vision, Springer, Online, August 2020, (ECCV) 38. Chun-Fu Yeh, Hsien-Tzu Cheng, Andy Wei, Hsin-Ming Chen, Po-Chen Kuo, Keng-Chi Liu, Mong-Chi Ko, Ray-Jade Chen, Po-Chang Lee, Jen-Hsiang Chuang, Chi-Mai Chen, Yi-Chang Chen, Wen-Jeng Lee, Ning Chien, Jo-Yu Chen, Yu-Sen Huang, Yu-Chien Chang, Yu-Cheng Huang, Nai-Kuan Chou, Kuan-Hua Chao, Yi-Chin Tu, Yeun-Chung Chang and Tyng-Luh Liu, "A Cascaded Learning Strategy for Robust COVID-19 Pneumonia Chest X-Ray Screening," arXiv:2004.12786, April 2020. 39. Yen-Chi Hsu, Cheng-Yao Hong, Ming-Sui Lee and Tyng-Luh Liu, "Query-Driven Multi-Instance Learning," Thirty-Fourth AAAI Conference on Artificial Intelligence, February 2020, (AAAI) ::: 40. Ting-I Hsieh, Yi-Chen Lo, Hwann-Tzong Chen, and Tyng-Luh Liu, "One-Shot Object Detection with Co-Attention and Co-Excitation," Thirty-third Conference on Neural Information Processing Systems, December 2019, (NeurIPS) ::: 41. Ding-Jie Chen, Songhao Jia, Yi-Chen Lo, Hwann-Tzong Chen, and Tyng-Luh Liu, "See-through-Text Grouping for Referring Image Segmentation," International Conference on Computer Vision, October 2019, (ICCV) ::: 42. Jen-Chun Lin, Wen-Li Wei, Tyng-Luh Liu, C.-C. Jay Kuo and Mark Liao, "Tell Me Where It is Still Blurry: Adversarial Blurred Region Mining and Refining," ACM Multimedia Conference, October 2019, (ACM MM) ::: 43. Chih-Yao Chiu, Hwann-Tzong Chen and Tyng-Luh Liu, "C2S2: Cost-aware Channel Sparse Selection for Progressive Network Pruning," arXiv:1904.03508, April 2019. 44. Ding-Jie Chen, Jui-Ting Chien, Hwann-Tzong Chen, and Tyng-Luh Liu, "Unsupervised Meta-learning of Figure-Ground Segmentation via Imitating Visual Effects," Thirty-Third AAAI Conference on Artificial Intelligence, January 2019, (AAAI) ::: 45. Shou-Yao Tseng, Hwann-Tzong Chen, Shao-Heng Tai, and Tyng-Luh Liu, "Non-local RoI for Cross-Object Perception," NeurIPS 2018 Workshop on Relational Representation Learning, December 2018. ::: 46. Chao-Ning Liu, Ding-Jie Chen, Hwann-Tzong Chen, and Tyng-Luh Liu, "A2A: Attention to Attention Reasoning for Movie Question Answering," 14th Asian Conference on Computer Vision, December 2018, (ACCV) ::: 47. Jen-Chun Lin, Wen-Li Wei, Tyng-Luh Liu, Yi-Hsuan Yang, Hsin-Min Wang, Hsiao-Rong Tyan, and Hong-Yuan Mark Liao, "Coherent Deep-Net Fusion To Classify Shots In Concert Videos," IEEE Transactions on Multimedia, volume 20, number 11, pages 3123-3136, November 2018. ::: 48. Hsien-Tzu Cheng, Chun-Hung Chao, Jin-Dong Dong, Hao-Kai Wen, Tyng-Luh Liu, and Min Sun, "Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos," IEEE Computer Society International Conference on Computer Vision and Pattern Recognition, Salt Lake City, Utah, June 2018, (CVPR) ::: 49. Tyng-Luh Liu, "Guided Co-training for Large-Scale Multi-View Spectral Clustering," arXiv:1707.09866, July 2017. 50. Wen-Li Wei, Jen-Chun Lin, Tyng-Luh Liu, Yi-Hsuan Yang, Hsin-Min Wang, Hsiao-Rong Tyan, and Hong-Yuan Mark Liao, "Deep-Net Fusion to Classify Shots in Concert Videos," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2017. ::: 51. Tsung-Wei Ke, Che-Wei Lin, Tyng-Luh Liu and Davi Geiger, "Variational Convolutional Networks for Human-Centric Annotations," 13th Asian Conference on Computer Vision, November 2016, (ACCV, oral) 52. Chung-Kuei Lee and Tyng-Luh Liu, "Guided Co-Training for Multi-View Spectral Clustering," IEEE International Conference on Image Processing, September 2016. 53. Tsung-Wei Ke and Tyng-Luh Liu, "Recursive Reduction Net for Large-Scale High-Dimensional Data," IEEE International Conference on Image Processing, September 2016. 54. Tsung-Yu Lin, Tsung-Wei Ke and Tyng-Luh Liu, "Implicit Sparse Code Hashing," arXiv:1512.00130, December 2015. 55. 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," 2015 ACM Multimedia Conference, October 2015. 56. Jyh-Jing Hwang and Tyng-Luh Liu, "Pixel-wise Deep Learning for Contour Detection," International Conference on Learning Representations, May 2015, (ICLR) 57. Jyh-Jing Hwang and Tyng-Luh Liu, "Contour Detection Using Cost-Sensitive Convolutional Neural Networks," arXiv:1412.6857, December 2014. 58. Tsung-Yu Lin and Tyng-Luh Liu, "Efficient Binary Codes for Extremely High-dimensional Data," IEEE International Conference on Image Processing, October 2014, (ICIP) 59. 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) 60. Chun-Wei Liu and Tyng-Luh Liu, "A Sparse Linear Model for Saliency-Guided Decolorization," IEEE International Conference on Image Processing, Melbourne, Australia, September 2013, (ICIP) 61. 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. 62. 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) ::: 63. 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) ::: 64. 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) ::: 65. 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) 66. 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) ::: 67. Yu-Wu Chu and Tyng-Luh Liu, "Co-occurrence Random Forests for Object Localization and Classification," 9th Asian Conference on Computer Vision, Xi’an, China, September 2009, (ACCV) 68. 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) ::: 69. 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) ::: 70. 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) 71. 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) ::: 72. 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, Anchorage, AK, USA, June 2008, (CVPR) ::: 73. Hwann-Tzong Chen and Tyng-Luh Liu, "Finding Familiar Objects and Their Depth from a Single Image," IEEE International Conference on Image Processing, San Antonio, Texas, USA, September 2007. 74. 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) ::: 75. 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) ::: 76. 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) ::: 77. 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) 78. 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) ::: 79. 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) ::: 80. 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) ::: 81. 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) ::: 82. 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) ::: 83. Hwann-Tzong Chen, Tyng-Luh Liu, and Chiou-Shann Fuh, "Probabilistic Tracking with Adaptive Feature Selection," International Conference on Pattern Recognition, volume 2, pages 736-739, August 2004, (ICPR). 84. 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) ::: 85. 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) 86. 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) 87. 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) ::: 88. 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) ::: 89. Tyng-Luh Liu and Hwann-Tzong Chen., "A Variational Approach for Digital Watermarking," International Conference on Image Processing, volume 3, pages 674-677, September 2000, (ICIP). 90. 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) ::: 91. 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) 92. 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) ::: 93. 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) 94. 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)