Sparse Representations for Image Decomposition with Occlusions. - Michael J. Donahue; Davi Geiger; Tyng-Luh Liu; Robert A. Hummel (CVPR, 1996)

Image Recognition with Occlusions. - Tyng-Luh Liu; Michael J. Donahue; Davi Geiger; Robert A. Hummel (ECCV (1), 1996)

Recognizing Articulated Objects with Information Theoretic Methods. - Davi Geiger; Tyng-Luh Liu (FG, 1996)

Visual Deconstruction: Recognizing Articulated Objects. - Tyng-Luh Liu; Davi Geiger (EMMCVPR, 1997)

Deformable Object Recognition with Articulations and Occlusions. - Tyng-Luh Liu (1997)

Segmenting by seeking the symmetry axis. - Tyng-Luh Liu; Davi Geiger; Alan L. Yuille (ICPR, 1998)

Approximate Tree Matching and Shape Similarity. - Tyng-Luh Liu; Davi Geiger (ICCV, 1999)

Sparse Representations for Image Decompositions. - Davi Geiger; Tyng-Luh Liu; Michael J. Donahue (Int. J. Comput. Vis., 1999)

A Variational Approach for Digital Watermarking. - Tyng-Luh Liu; Hwann-Tzong Chen (ICIP, 2000)

A Generalized Shape-Axis Model for Planar Shapes. - Tyng-Luh Liu (ICPR, 2000)

Multi-Object Tracking Using Dynamical Graph Matching. - Hwann-Tzong Chen; Horng-Horng Lin; Tyng-Luh Liu (CVPR (2), 2001)

Trust-Region Methods for Real-Time Tracking. - Hwann-Tzong Chen; Tyng-Luh Liu (ICCV, 2001)

A probabilistic SVM approach for background scene initialization. - Horng-Horng Lin; Tyng-Luh Liu; Jen-Hui Chuang (ICIP (3), 2002)

Probabilistic Tracking with Optimal Scale and Orientation Selection. - Hwann-Tzong Chen; Tyng-Luh Liu (ICPR (2), 2002)

Representation and Self-Similarity of Shapes. - Davi Geiger; Tyng-Luh Liu; Robert Kohn (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

Fast Object Detection with Occlusions. - Yen-Yu Lin; Tyng-Luh Liu; Chiou-Shann Fuh (ECCV (1), 2004)

Detecting Deformable Objects with Flexible Shape Priors. - Tien-Lung Chang; Tyng-Luh Liu (ICPR (4), 2004)

Probabilistic Tracking with Adaptive Feature Selection. - Hwann-Tzong Chen; Tyng-Luh Liu; Chiou-Shann Fuh (ICPR (2), 2004)

Real-Time Tracking Using Trust-Region Methods. - Tyng-Luh Liu; Hwann-Tzong Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

Local Discriminant Embedding and Its Variants. - Hwann-Tzong Chen; Huang-Wei Chang; Tyng-Luh Liu (CVPR (2), 2005)

Tone Reproduction: A Perspective from Luminance-Driven Perceptual Grouping. - Hwann-Tzong Chen; Tyng-Luh Liu; Tien-Lung Chang (CVPR (2), 2005)

Robust Face Detection with Multi-Class Boosting. - Yen-Yu Lin; Tyng-Luh Liu (CVPR (1), 2005)

Learning Effective Image Metrics from Few Pairwise Examples. - Hwann-Tzong Chen; Tyng-Luh Liu; Chiou-Shann Fuh (ICCV, 2005)

Shape recognition using fast boosted filtering. - Yen-Yu Lin; Tyng-Luh Liu (ICIP (2), 2005)

Semantic manifold learning for image retrieval. - Yen-Yu Lin; Tyng-Luh Liu; Hwann-Tzong Chen (ACM Multimedia, 2005)

Tone Reproduction: A Perspective from Luminance-Driven Perceptual Grouping. - Hwann-Tzong Chen; Tyng-Luh Liu; Chiou-Shann Fuh (Int. J. Comput. Vis., 2005)

Direct Energy Minimization for Super-Resolution on Nonlinear Manifolds. - Tien-Lung Chang; Tyng-Luh Liu; Jen-Hui Chuang (ECCV (4), 2006)

Segmenting Highly Articulated Video Objects with Weak-Prior Random Forests. - Hwann-Tzong Chen; Tyng-Luh Liu; Chiou-Shann Fuh (ECCV (4), 2006)

Local Ensemble Kernel Learning for Object Category Recognition. - Yen-Yu Lin; Tyng-Luh Liu; Chiou-Shann Fuh (CVPR, 2007)

Finding Familiar Objects and their Depth from a Single Image. - Hwann-Tzong Chen; Tyng-Luh Liu (ICIP (6), 2007)

Improving local learning for object categorization by exploring the effects of ranking. - Tien-Lung Chang; Tyng-Luh Liu; Jen-Hui Chuang (CVPR, 2008)

Dimensionality Reduction for Data in Multiple Feature Representations. - Yen-Yu Lin; Tyng-Luh Liu; Chiou-Shann Fuh (NIPS, 2008)

Co-occurrence Random Forests for Object Localization and Classification. - Yu-Wu Chu; Tyng-Luh Liu (ACCV (3), 2009)

Learning partially-observed hidden conditional random fields for facial expression recognition. - Kai-Yueh Chang; Tyng-Luh Liu; Shang-Hong Lai (CVPR, 2009)

Efficient discriminative local learning for object recognition. - Yen-Yu Lin; Jyun-Fan Tsai; Tyng-Luh Liu (ICCV, 2009)

Learning a scene background model via classification. - Horng-Horng Lin; Tyng-Luh Liu; Jen-Hui Chuang (IEEE Trans. Signal Process., 2009)

Clustering Complex Data with Group-Dependent Feature Selection. - Yen-Yu Lin; Tyng-Luh Liu; Chiou-Shann Fuh (ECCV (6), 2010)

From co-saliency to co-segmentation: An efficient and fully unsupervised energy minimization model. - Kai-Yueh Chang; Tyng-Luh Liu; Shang-Hong Lai (CVPR, 2011)

Fusing generic objectness and visual saliency for salient object detection. - Kai-Yueh Chang; Tyng-Luh Liu; Hwann-Tzong Chen; Shang-Hong Lai (ICCV, 2011)

Multiple Kernel Learning for Dimensionality Reduction. - Yen-Yu Lin; Tyng-Luh Liu; Chiou-Shann Fuh (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Regularized Background Adaptation: A Novel Learning Rate Control Scheme for Gaussian Mixture Modeling. - Horng-Horng Lin; Jen-Hui Chuang; Tyng-Luh Liu (IEEE Trans. Image Process., 2011)

A sparse linear model for saliency-guided decolorization. - Chun-Wei Liu; Tyng-Luh Liu (ICIP, 2013)

A Two-dimensional Direct Combined Model for Facial Hallucination. - Ching-Ting Tu; Kung-Hung Lin; Tyng-Luh Liu (MVA, 2013)

Efficient binary codes for extremely high-dimensional data. - Tsung-Yu Lin; Tyng-Luh Liu (ICIP, 2014)

Exploring Depth Information for Object Segmentation and Detection. - Tyng-Luh Liu; Kai-Yueh Chang; Shang-Hong Lai (ICPR, 2014)

Contour Detection Using Cost-Sensitive Convolutional Neural Networks. - Jyh-Jing Hwang; Tyng-Luh Liu (CoRR, 2014)

Spatio-Temporal Learning of Basketball Offensive Strategies. - Ching-Hang Chen; Tyng-Luh Liu; Yu-Shuen Wang; Hung-Kuo Chu; Nick C. Tang; Hong-Yuan Mark Liao (ACM Multimedia, 2015)

Pixel-wise Deep Learning for Contour Detection. - Jyh-Jing Hwang; Tyng-Luh Liu (ICLR (Workshop), 2015)

Implicit Sparse Code Hashing. - Tsung-Yu Lin; Tsung-Wei Ke; Tyng-Luh Liu (CoRR, 2015)

Variational Convolutional Networks for Human-Centric Annotations. - Tsung-Wei Ke; Che-Wei Lin; Tyng-Luh Liu; Davi Geiger (ACCV (4), 2016)

Recursive reduction net for large-scale high-dimensional data. - Tsung-Wei Ke; Tyng-Luh Liu (ICIP, 2016)

Guided co-training for multi-view spectral clustering. - Chung-Kuei Lee; Tyng-Luh Liu (ICIP, 2016)

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 (ICASSP, 2017)

Guided Co-training for Large-Scale Multi-View Spectral Clustering. - Tyng-Luh Liu (CoRR, 2017)

A2A: Attention to Attention Reasoning for Movie Question Answering. - Chao-Ning Liu; Ding-Jie Chen; Hwann-Tzong Chen; Tyng-Luh Liu (ACCV (6), 2018)

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 001 (CVPR, 2018)

Seethevoice: Learning from Music to Visual Storytelling of Shots. - Wen-Li Wei; Jen-Chun Lin; Tyng-Luh Liu; Yi-Hsuan Yang; Hsin-Min Wang; Hsiao-Rong Tyan; Hong-Yuan Mark Liao (ICME, 2018)

Non-local RoIs for Instance Segmentation. - Shou-Yao Roy Tseng; Hwann-Tzong Chen; Shao-Heng Tai; Tyng-Luh Liu (CoRR, 2018)

Non-local RoI for Cross-Object Perception. - Shou-Yao Roy Tseng; Hwann-Tzong Chen; Shao-Heng Tai; Tyng-Luh Liu (CoRR, 2018)

Coherent Deep-Net Fusion To Classify Shots In Concert Videos. - Jen-Chun Lin; Wen-Li Wei; Tyng-Luh Liu; Yi-Hsuan Yang; Hsin-Min Wang; Hsiao-Rong Tyan; Hong-Yuan Mark Liao (IEEE Trans. Multim., 2018)

Unsupervised Meta-Learning of Figure-Ground Segmentation via Imitating Visual Effects. - Ding-Jie Chen; Jui-Ting Chien; Hwann-Tzong Chen; Tyng-Luh Liu (AAAI, 2019)

See-Through-Text Grouping for Referring Image Segmentation. - Ding-Jie Chen; Songhao Jia; Yi-Chen Lo; Hwann-Tzong Chen; Tyng-Luh Liu (ICCV, 2019)

Cast Search via Two-Stream Label Propagation. - Jhih-Ciang Wu; Bing-Jhang Lin; Bing-Yuan Zeng; Li-Chen Fu; Chiou-Shann Fuh; Tyng-Luh Liu (ICCV Workshops, 2019)

Tell Me Where It is Still Blurry: Adversarial Blurred Region Mining and Refining. - Jen-Chun Lin; Wen-Li Wei; Tyng-Luh Liu; C.-C. Jay Kuo; Mark Liao 001 (ACM Multimedia, 2019)

One-Shot Object Detection with Co-Attention and Co-Excitation. - Ting-I Hsieh; Yi-Chen Lo; Hwann-Tzong Chen; Tyng-Luh Liu (NeurIPS, 2019)

C2S2: Cost-aware Channel Sparse Selection for Progressive Network Pruning. - Chih-Yao Chiu; Hwann-Tzong Chen; Tyng-Luh Liu (CoRR, 2019)

Fine-Grained Visual Recognition with Batch Confusion Norm. - Yen-Chi Hsu; Cheng-Yao Hong; Ding-Jie Chen; Ming-Sui Lee; Davi Geiger; Tyng-Luh Liu (CoRR, 2019)

Query-Driven Multi-Instance Learning. - Yen-Chi Hsu; Cheng-Yao Hong; Ming-Sui Lee; Tyng-Luh Liu (AAAI, 2020)

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 (ECCV (25), 2020)

Temporal Action Proposal Generation Via Deep Feature Enhancement. - He-Yen Hsieh; Ding-Jie Chen; Tyng-Luh Liu (ICIP, 2020)

Video Summarization with Anchors and Multi-Head Attention. - Yi-Lin Sung; Cheng-Yao Hong; Yen-Chi Hsu; Tyng-Luh Liu (ICIP, 2020)

Learning From Music to Visual Storytelling of Shots: A Deep Interactive Learning Mechanism. - Jen-Chun Lin; Wen-Li Wei; Yen-Yu Lin; Tyng-Luh Liu; Hong-Yuan Mark Liao (ACM Multimedia, 2020)

A Cascaded Learning Strategy for Robust COVID-19 Pneumonia Chest X-Ray Screening. - Chun-Fu Yeh; Hsien-Tzu Cheng; Andy Wei; Keng-Chi Liu; Mong-Chi Ko; Po-Chen Kuo; Ray-Jade Chen; Po-Chang Lee; Jen-Hsiang Chuang; Chi-Mai Chen; Nai-Kuan Chou; Yeun-Chung Chang; et al. (CoRR, 2020)

Social Distancing 2.0 with Privacy-Preserving Contact Tracing to Avoid a Second Wave of COVID-19. - Yu-Chen Ho; Yi-Hsuan Chen; Shen-Hua Hung; Chien-Hao Huang; Poga Po; Chung-Hsi Chan; Di-Kai Yang; Yi-Chin Tu; Tyng-Luh Liu; Chi-Tai Fang (CoRR, 2020)

Learning Gaussian Instance Segmentation in Point Clouds. - Shih-Hung Liu; Shang-Yi Yu; Shao-Chi Wu; Hwann-Tzong Chen; Tyng-Luh Liu (CoRR, 2020)

Text-Guided Graph Neural Networks for Referring 3D Instance Segmentation. - Pin-Hao Huang; Han-Hung Lee; Hwann-Tzong Chen; Tyng-Luh Liu (AAAI, 2021)

Adaptive Image Transformer for One-Shot Object Detection. - Ding-Jie Chen; He-Yen Hsieh; Tyng-Luh Liu (CVPR, 2021)

Learning Unsupervised Metaformer for Anomaly Detection. - Jhih-Ciang Wu; Ding-Jie Chen; Chiou-Shann Fuh; Tyng-Luh Liu (ICCV, 2021)

The Maximum a Posterior Estimation of Darts. - Jun-Liang Lin; Yi-Lin Sung; Cheng-Yao Hong; Han-Hung Lee; Tyng-Luh Liu (ICIP, 2021)

Adaptive and Generative Zero-Shot Learning. - Yu-Ying Chou; Hsuan-Tien Lin; Tyng-Luh Liu (ICLR, 2021)

Referring Image Segmentation via Language-Driven Attention. - Ding-Jie Chen; He-Yen Hsieh; Tyng-Luh Liu (ICRA, 2021)

ezGeno: an automatic model selection package for genomic data analysis. - Jun-Liang Lin; Tsung-Ting Hsieh; Yi-An Tung; Xuan-Jun Chen; Yu-Chun Hsiao; Chia-Lin Yang; Tyng-Luh Liu; Chien-Yu Chen 001 (Bioinform., 2021)

One-class anomaly detection via novelty normalization. - Jhih-Ciang Wu; Sherman Lu; Chiou-Shann Fuh; Tyng-Luh Liu (Comput. Vis. Image Underst., 2021)

Learning to Visualize Music Through Shot Sequence for Automatic Concert Video Mashup. - Wen-Li Wei; Jen-Chun Lin; Tyng-Luh Liu; Hsiao-Rong Tyan; Hsin-Min Wang; Hong-Yuan Mark Liao (IEEE Trans. Multim., 2021)

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 (AAAI, 2022)

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 (CVPR, 2022)

Self-supervised Sparse Representation for Video Anomaly Detection. - Jhih-Ciang Wu; He-Yen Hsieh; Ding-Jie Chen; Chiou-Shann Fuh; Tyng-Luh Liu (ECCV (13), 2022)

Decoupled Contrastive Learning. - Chun-Hsiao Yeh; Cheng-Yao Hong; Yen-Chi Hsu; Tyng-Luh Liu; Yubei Chen; Yann LeCun (ECCV (26), 2022)

SAGA: Self-Augmentation with Guided Attention for Representation Learning. - Chun-Hsiao Yeh; Cheng-Yao Hong; Yen-Chi Hsu; Tyng-Luh Liu (ICASSP, 2022)

Contextual Proposal Network for Action Localization. - He-Yen Hsieh; Ding-Jie Chen; Tyng-Luh Liu (WACV, 2022)

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 (ICASSP, 2023)

One-Shot Action Detection via Attention Zooming In. - He-Yen Hsieh; Ding-Jie Chen; Cheng-Wei Chang; Tyng-Luh Liu (ICASSP, 2023)

Attention Discriminant Sampling for Point Clouds. - Cheng-Yao Hong; Yu-Ying Chou; Tyng-Luh Liu (ICCV, 2023)

Shape-Guided Dual-Memory Learning for 3D Anomaly Detection. - Yu-Min Chu; Chieh Liu; Ting-I Hsieh; Hwann-Tzong Chen; Tyng-Luh Liu (ICML, 2023)

Aggregating Bilateral Attention for Few-Shot Instance Localization. - He-Yen Hsieh; Ding-Jie Chen; Cheng-Wei Chang; Tyng-Luh Liu (WACV, 2023)

DiffusionAtlas: High-Fidelity Consistent Diffusion Video Editing. - Shao-Yu Chang; Hwann-Tzong Chen; Tyng-Luh Liu (CoRR, 2023)

ABC-Norm Regularization for Fine-Grained and Long-Tailed Image Classification. - Yen-Chi Hsu; Cheng-Yao Hong; Ming-Sui Lee; Davi Geiger; Tyng-Luh Liu (IEEE Trans. Image Process., 2023)

Contrastive Learning for DeepFake Classification and Localization via Multi-Label Ranking. - Cheng-Yao Hong; Yen-Chi Hsu; Tyng-Luh Liu (CVPR, 2024)

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 (CVPR, 2024)

Learning Diffusion Models for Multi-view Anomaly Detection. - Chieh Liu; Yu-Min Chu; Ting-I Hsieh; Hwann-Tzong Chen; Tyng-Luh Liu (ECCV (33), 2024)

Pseudo-embedding for Generalized Few-Shot 3D Segmentation. - Chih-Jung Tsai; Hwann-Tzong Chen; Tyng-Luh Liu (ECCV (36), 2024)

Multimodal Promptable Token Merging for Diffusion Models. - Cheng-Yao Hong; Tyng-Luh Liu (AAAI, 2025)

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 (AAAI, 2025)

Tracking Everything Everywhere across Multiple Cameras. - Li-Heng Wang; YuJu Cheng; Tyng-Luh Liu (AAAI, 2025)

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 (CVPR, 2025)