Chin-Chia Yang, Yung-Yu Chuang, Hwann-Tzong Chen and Tyng-Luh Liu, "HSIC Bottleneck for Cross-Generator and Domain-Incremental Synthetic Image Detection," The Fourteenth International Conference on Learning Representations (ICLR), April 2026, (ICLR)
2.
Cheng-Yao Hong, Li-Heng Wang, and Tyng-Luh Liu, "Promptable 3-D Object Localization with Latent Diffusion Models," Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), December 2025, (NeurIPS)
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)
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.
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)
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.
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.
38.
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.
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) :::
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) :::
48.
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. :::
49.
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. :::
50.
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) :::
51.
Tyng-Luh Liu, "Guided Co-training for Large-Scale Multi-View Spectral Clustering," arXiv:1707.09866, July 2017.
52.
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. :::
53.
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)
54.
Tsung-Wei Ke and Tyng-Luh Liu, "Recursive Reduction Net for Large-Scale High-Dimensional Data," IEEE International Conference on Image Processing, September 2016.
55.
Chung-Kuei Lee and Tyng-Luh Liu, "Guided Co-Training for Multi-View Spectral Clustering," IEEE International Conference on Image Processing, September 2016.
56.
Tsung-Yu Lin, Tsung-Wei Ke and Tyng-Luh Liu, "Implicit Sparse Code Hashing," arXiv:1512.00130, December 2015.
57.
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.
58.
Jyh-Jing Hwang and Tyng-Luh Liu, "Pixel-wise Deep Learning for Contour Detection," International Conference on Learning Representations, May 2015, (ICLR)
59.
Jyh-Jing Hwang and Tyng-Luh Liu, "Contour Detection Using Cost-Sensitive Convolutional Neural Networks," arXiv:1412.6857, December 2014.
60.
Tsung-Yu Lin and Tyng-Luh Liu, "Efficient Binary Codes for Extremely High-dimensional Data," IEEE International Conference on Image Processing, October 2014, (ICIP)
61.
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)
62.
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)
63.
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.
64.
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) :::
65.
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) :::
66.
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) :::
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) :::
70.
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)
71.
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) :::
72.
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)
73.
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) :::
74.
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) :::
75.
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.
76.
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) :::
77.
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) :::
78.
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) :::
79.
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)
80.
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) :::
81.
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) :::
82.
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) :::
83.
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) :::
84.
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) :::
85.
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).
86.
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) :::
87.
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)
88.
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)
89.
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) :::
90.
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) :::
91.
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).
92.
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) :::
93.
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)
94.
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) :::
95.
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)
96.
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)
