Liu, Tyng-Luh

48 publications

CVPR 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

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

NeurIPS 2025 Promptable 3-D Object Localization with Latent Diffusion Models Cheng-Yao Hong, Li-Heng Wang, 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

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

ECCV 2024 Learning Diffusion Models for Multi-View Anomaly Detection Chieh Liu, Yu-Min Chu, Ting-I Hsieh, Hwann-Tzong Chen, 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

ECCV 2024 Pseudo-Embedding for Generalized Few-Shot Point Cloud Segmentation Chih-Jung Tsai, Hwann-Tzong Chen, Tyng-Luh Liu

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

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

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

CVPR 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

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

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

AAAI 2022 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

ECCV 2022 Self-Supervised Sparse Representation for Video Anomaly Detection Jhih-Ciang Wu, He-Yen Hsieh, Ding-Jie Chen, Chiou-Shann Fuh, Tyng-Luh Liu

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

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

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

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

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

ECCV 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

ICCVW 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

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

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

ICLR 2015 Pixel-Wise Deep Learning for Contour Detection Jyh-Jing Hwang, Tyng-Luh Liu

CVPR 2011 From Co-Saliency to Co-Segmentation: An Efficient and Fully Unsupervised Energy Minimization Model Kai-Yueh Chang, Tyng-Luh Liu, Shang-Hong Lai

ICCV 2011 Fusing Generic Objectness and Visual Saliency for Salient Object Detection Kai-Yueh Chang, Tyng-Luh Liu, Hwann-Tzong Chen, Shang-Hong Lai

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

ICCV 2009 Efficient Discriminative Local Learning for Object Recognition Yen-Yu Lin, Jyun-Fan Tsai, Tyng-Luh Liu

CVPR 2009 Learning Partially-Observed Hidden Conditional Random Fields for Facial Expression Recognition Kai-Yueh Chang, Tyng-Luh Liu, Shang-Hong Lai

NeurIPS 2008 Dimensionality Reduction for Data in Multiple Feature Representations Yen-yu Lin, Tyng-luh Liu, Chiou-shann Fuh

CVPR 2008 Improving Local Learning for Object Categorization by Exploring the Effects of Ranking Tien-Lung Chang, Tyng-Luh Liu, Jen-Hui Chuang

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

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

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

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

CVPR 2005 Local Discriminant Embedding and Its Variants Hwann-Tzong Chen, Huang-Wei Chang, Tyng-Luh Liu

CVPR 2005 Robust Face Detection with Multi-Class Boosting Yen-Yu Lin, Tyng-Luh Liu

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

ECCV 2004 Fast Object Detection with Occlusions Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh

CVPR 2001 Multi-Object Tracking Using Dynamical Graph Matching Hwann-Tzong Chen, Horng-Horng Lin, Tyng-Luh Liu

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

ICCV 1999 Approximate Tree Matching and Shape Similarity Tyng-Luh Liu, Davi Geiger

ICCV 1998 Representation and Self-Similarity of Shapes Tyng-Luh Liu, Davi Geiger, Robert Kohn

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

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