| 2025 | AAAI | Multimodal Promptable Token Merging for Diffusion Models. | Cheng-Yao Hong, Tyng-Luh Liu |
| 2025 | AAAI | SLIP: Spoof-Aware One-Class Face Anti-Spoofing with Language Image Pretraining. | Pei-Kai Huang, Jun-Xiong Chong, Cheng-Hsuan Chiang, Tzu-Hsien Chen, Tyng-Luh Liu, Chiou-Ting Hsu |
| 2025 | AAAI | Tracking Everything Everywhere across Multiple Cameras. | Li-Heng Wang, YuJu Cheng, Tyng-Luh Liu |
| 2025 | CVPR | EigenGS Representation: From Eigenspace to Gaussian Image Space. | Lo-Wei Tai, Ching-En Li, Cheng-Lin Chen, Chih-Jung Tsai, Hwann-Tzong Chen, Tyng-Luh Liu |
| 2024 | CVPR | Contrastive Learning for DeepFake Classification and Localization via Multi-Label Ranking. | Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu |
| 2024 | CVPR | One-Class Face Anti-Spoofing via Spoof Cue Map-Guided Feature Learning. | Pei-Kai Huang, Cheng-Hsuan Chiang, Tzu-Hsien Chen, Jun-Xiong Chong, Tyng-Luh Liu, Chiou-Ting Hsu |
| 2024 | ECCV | Learning Diffusion Models for Multi-view Anomaly Detection. | Chieh Liu, Yu-Min Chu, Ting-I Hsieh, Hwann-Tzong Chen, Tyng-Luh Liu |
| 2024 | ECCV | Pseudo-embedding for Generalized Few-Shot 3D Segmentation. | Chih-Jung Tsai, Hwann-Tzong Chen, Tyng-Luh Liu |
| 2023 | ICASSP | IoU-Aware Multi-Expert Cascade Network Via Dynamic Ensemble for Long-Tailed Object Detection. | Wan-Cyuan Fan, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu |
| 2023 | ICASSP | One-Shot Action Detection via Attention Zooming In. | He-Yen Hsieh, Ding-Jie Chen, Cheng-Wei Chang, Tyng-Luh Liu |
| 2023 | ICCV | Attention Discriminant Sampling for Point Clouds. | Cheng-Yao Hong, Yu-Ying Chou, Tyng-Luh Liu |
| 2023 | ICML | Shape-Guided Dual-Memory Learning for 3D Anomaly Detection. | Yu-Min Chu, Chieh Liu, Ting-I Hsieh, Hwann-Tzong Chen, Tyng-Luh Liu |
| 2023 | WACV | Aggregating Bilateral Attention for Few-Shot Instance Localization. | He-Yen Hsieh, Ding-Jie Chen, Cheng-Wei Chang, Tyng-Luh Liu |
| 2022 | AAAI | Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction. | Ta Ying Cheng, Hsuan-Ru Yang, Niki Trigoni, Hwann-Tzong Chen, Tyng-Luh Liu |
| 2022 | CVPR | Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video. | Wen-Li Wei, Jen-Chun Lin, Tyng-Luh Liu, Hong-Yuan Mark Liao |
| 2022 | ECCV | Self-supervised Sparse Representation for Video Anomaly Detection. | Jhih-Ciang Wu, He-Yen Hsieh, Ding-Jie Chen, Chiou-Shann Fuh, Tyng-Luh Liu |
| 2022 | ECCV | Decoupled Contrastive Learning. | Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu, Yubei Chen, Yann LeCun |
| 2022 | ICASSP | SAGA: Self-Augmentation with Guided Attention for Representation Learning. | Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu |
| 2022 | WACV | Contextual Proposal Network for Action Localization. | He-Yen Hsieh, Ding-Jie Chen, Tyng-Luh Liu |
| 2021 | AAAI | Text-Guided Graph Neural Networks for Referring 3D Instance Segmentation. | Pin-Hao Huang, Han-Hung Lee, Hwann-Tzong Chen, Tyng-Luh Liu |
| 2021 | CVPR | Adaptive Image Transformer for One-Shot Object Detection. | Ding-Jie Chen, He-Yen Hsieh, Tyng-Luh Liu |
| 2021 | ICCV | Learning Unsupervised Metaformer for Anomaly Detection. | Jhih-Ciang Wu, Ding-Jie Chen, Chiou-Shann Fuh, Tyng-Luh Liu |
| 2021 | ICIP | The Maximum a Posterior Estimation of Darts. | Jun-Liang Lin, Yi-Lin Sung, Cheng-Yao Hong, Han-Hung Lee, Tyng-Luh Liu |
| 2021 | ICLR | Adaptive and Generative Zero-Shot Learning. | Yu-Ying Chou, Hsuan-Tien Lin, Tyng-Luh Liu |
| 2021 | ICRA | Referring Image Segmentation via Language-Driven Attention. | Ding-Jie Chen, He-Yen Hsieh, Tyng-Luh Liu |
| 2020 | AAAI | Query-Driven Multi-Instance Learning. | Yen-Chi Hsu, Cheng-Yao Hong, Ming-Sui Lee, Tyng-Luh Liu |
| 2020 | ECCV | Self-similarity Student for Partial Label Histopathology Image Segmentation. | Hsien-Tzu Cheng, Chun-Fu Yeh, Po-Chen Kuo, Andy Wei, Keng-Chi Liu, Mong-Chi Ko, Kuan-Hua Chao, Yu-Ching Peng, Tyng-Luh Liu |
| 2020 | ICIP | Temporal Action Proposal Generation Via Deep Feature Enhancement. | He-Yen Hsieh, Ding-Jie Chen, Tyng-Luh Liu |
| 2020 | ICIP | Video Summarization with Anchors and Multi-Head Attention. | Yi-Lin Sung, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu |
| 2019 | AAAI | Unsupervised Meta-Learning of Figure-Ground Segmentation via Imitating Visual Effects. | Ding-Jie Chen, Jui-Ting Chien, Hwann-Tzong Chen, Tyng-Luh Liu |
| 2019 | ICCV | See-Through-Text Grouping for Referring Image Segmentation. | Ding-Jie Chen, Songhao Jia, Yi-Chen Lo, Hwann-Tzong Chen, Tyng-Luh Liu |
| 2018 | ACCV | A2A: Attention to Attention Reasoning for Movie Question Answering. | Chao-Ning Liu, Ding-Jie Chen, Hwann-Tzong Chen, Tyng-Luh Liu |
| 2018 | CVPR | Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos. | Hsien-Tzu Cheng, Chun-Hung Chao, Jin-Dong Dong, Hao-Kai Wen, Tyng-Luh Liu, Min Sun |
| 2017 | ICASSP | Deep-net fusion to classify shots in concert videos. | Wen-Li Wei, Jen-Chun Lin, Tyng-Luh Liu, Yi-Hsuan Yang, Hsin-Min Wang, Hsiao-Rong Tyan, Hong-Yuan Mark Liao |
| 2016 | ACCV | Variational Convolutional Networks for Human-Centric Annotations. | Tsung-Wei Ke, Che-Wei Lin, Tyng-Luh Liu, Davi Geiger |
| 2016 | ICIP | Recursive reduction net for large-scale high-dimensional data. | Tsung-Wei Ke, Tyng-Luh Liu |
| 2016 | ICIP | Guided co-training for multi-view spectral clustering. | Chung-Kuei Lee, Tyng-Luh Liu |
| 2014 | ICIP | Efficient binary codes for extremely high-dimensional data. | Tsung-Yu Lin, Tyng-Luh Liu |
| 2014 | ICPR | Exploring Depth Information for Object Segmentation and Detection. | Tyng-Luh Liu, Kai-Yueh Chang, Shang-Hong Lai |
| 2013 | ICIP | A sparse linear model for saliency-guided decolorization. | Chun-Wei Liu, Tyng-Luh Liu |
| 2013 | MVA | A Two-dimensional Direct Combined Model for Facial Hallucination. | Ching-Ting Tu, Kung-Hung Lin, Tyng-Luh Liu |
| 2011 | CVPR | From co-saliency to co-segmentation: An efficient and fully unsupervised energy minimization model. | Kai-Yueh Chang, Tyng-Luh Liu, Shang-Hong Lai |
| 2011 | ICCV | Fusing generic objectness and visual saliency for salient object detection. | Kai-Yueh Chang, Tyng-Luh Liu, Hwann-Tzong Chen, Shang-Hong Lai |
| 2010 | ECCV | Clustering Complex Data with Group-Dependent Feature Selection. | Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh |
| 2009 | ACCV | Co-occurrence Random Forests for Object Localization and Classification. | Yu-Wu Chu, Tyng-Luh Liu |
| 2009 | CVPR | Learning partially-observed hidden conditional random fields for facial expression recognition. | Kai-Yueh Chang, Tyng-Luh Liu, Shang-Hong Lai |
| 2009 | ICCV | Efficient discriminative local learning for object recognition. | Yen-Yu Lin, Jyun-Fan Tsai, Tyng-Luh Liu |
| 2008 | CVPR | Improving local learning for object categorization by exploring the effects of ranking. | Tien-Lung Chang, Tyng-Luh Liu, Jen-Hui Chuang |
| 2007 | CVPR | Local Ensemble Kernel Learning for Object Category Recognition. | Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh |
| 2007 | ICIP | Finding Familiar Objects and their Depth from a Single Image. | Hwann-Tzong Chen, Tyng-Luh Liu |
| 2006 | ECCV | Direct Energy Minimization for Super-Resolution on Nonlinear Manifolds. | Tien-Lung Chang, Tyng-Luh Liu, Jen-Hui Chuang |
| 2006 | ECCV | Segmenting Highly Articulated Video Objects with Weak-Prior Random Forests. | Hwann-Tzong Chen, Tyng-Luh Liu, Chiou-Shann Fuh |
| 2005 | CVPR | Local Discriminant Embedding and Its Variants. | Hwann-Tzong Chen, Huang-Wei Chang, Tyng-Luh Liu |
| 2005 | CVPR | Tone Reproduction: A Perspective from Luminance-Driven Perceptual Grouping. | Hwann-Tzong Chen, Tyng-Luh Liu, Tien-Lung Chang |
| 2005 | CVPR | Robust Face Detection with Multi-Class Boosting. | Yen-Yu Lin, Tyng-Luh Liu |
| 2005 | ICCV | Learning Effective Image Metrics from Few Pairwise Examples. | Hwann-Tzong Chen, Tyng-Luh Liu, Chiou-Shann Fuh |
| 2005 | ICIP | Shape recognition using fast boosted filtering. | Yen-Yu Lin, Tyng-Luh Liu |
| 2004 | ECCV | Fast Object Detection with Occlusions. | Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh |
| 2004 | ICPR | Detecting Deformable Objects with Flexible Shape Priors. | Tien-Lung Chang, Tyng-Luh Liu |
| 2004 | ICPR | Probabilistic Tracking with Adaptive Feature Selection. | Hwann-Tzong Chen, Tyng-Luh Liu, Chiou-Shann Fuh |
| 2002 | ICIP | A probabilistic SVM approach for background scene initialization. | Horng-Horng Lin, Tyng-Luh Liu, Jen-Hui Chuang |
| 2002 | ICPR | Probabilistic Tracking with Optimal Scale and Orientation Selection. | Hwann-Tzong Chen, Tyng-Luh Liu |
| 2001 | CVPR | Multi-Object Tracking Using Dynamical Graph Matching. | Hwann-Tzong Chen, Horng-Horng Lin, Tyng-Luh Liu |
| 2001 | ICCV | Trust-Region Methods for Real-Time Tracking. | Hwann-Tzong Chen, Tyng-Luh Liu |
| 2000 | ICIP | A Variational Approach for Digital Watermarking. | Tyng-Luh Liu, Hwann-Tzong Chen |
| 2000 | ICPR | A Generalized Shape-Axis Model for Planar Shapes. | Tyng-Luh Liu |
| 1999 | ICCV | Approximate Tree Matching and Shape Similarity. | Tyng-Luh Liu, Davi Geiger |
| 1998 | ICCV | Representation and Self-Similarity of Shapes. | Tyng-Luh Liu, Davi Geiger, Robert Kohn |
| 1998 | ICPR | Segmenting by seeking the symmetry axis. | Tyng-Luh Liu, Davi Geiger, Alan L. Yuille |
| 1996 | CVPR | Sparse Representations for Image Decomposition with Occlusions. | Michael J. Donahue, Davi Geiger, Tyng-Luh Liu, Robert A. Hummel |
| 1996 | ECCV | Image Recognition with Occlusions. | Tyng-Luh Liu, Michael J. Donahue, Davi Geiger, Robert A. Hummel |