Tyng-Luh Liu

ORCID

Publication Activity (10 Years)

Years Active: 1996-2023
Publications (10 Years): 55

Top Venues

Publications

Shao-Yu Chang, Hwann-Tzong Chen, Tyng-Luh Liu
DiffusionAtlas: High-Fidelity Consistent Diffusion Video Editing. CoRR (2023)
He-Yen Hsieh, Ding-Jie Chen, Cheng-Wei Chang, Tyng-Luh Liu
Aggregating Bilateral Attention for Few-Shot Instance Localization. WACV (2023)
Yu-Min Chu, Chieh Liu, Ting-I Hsieh, Hwann-Tzong Chen, Tyng-Luh Liu
Shape-Guided Dual-Memory Learning for 3D Anomaly Detection. ICML (2023)
He-Yen Hsieh, Ding-Jie Chen, Cheng-Wei Chang, Tyng-Luh Liu
One-Shot Action Detection via Attention Zooming In. ICASSP (2023)
Cheng-Yao Hong, Yu-Ying Chou, Tyng-Luh Liu
Attention Discriminant Sampling for Point Clouds. ICCV (2023)
Yen-Chi Hsu, Cheng-Yao Hong, Ming-Sui Lee, Davi Geiger, Tyng-Luh Liu
ABC-Norm Regularization for Fine-Grained and Long-Tailed Image Classification. IEEE Trans. Image Process. 32 (2023)
Wan-Cyuan Fan, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu
IoU-Aware Multi-Expert Cascade Network Via Dynamic Ensemble for Long-Tailed Object Detection. ICASSP (2023)
Ta Ying Cheng, Hsuan-Ru Yang, Niki Trigoni, Hwann-Tzong Chen, Tyng-Luh Liu
Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction. AAAI (2022)
He-Yen Hsieh, Ding-Jie Chen, Tyng-Luh Liu
Contextual Proposal Network for Action Localization. WACV (2022)
Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu, Yubei Chen, Yann LeCun
Decoupled Contrastive Learning. ECCV (26) (2022)
Jhih-Ciang Wu, He-Yen Hsieh, Ding-Jie Chen, Chiou-Shann Fuh, Tyng-Luh Liu
Self-supervised Sparse Representation for Video Anomaly Detection. ECCV (13) (2022)
Wen-Li Wei, Jen-Chun Lin, Tyng-Luh Liu, Hong-Yuan Mark Liao
Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video. CoRR (2022)
Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu
SAGA: Self-Augmentation with Guided Attention for Representation Learning. ICASSP (2022)
Wen-Li Wei, Jen-Chun Lin, Tyng-Luh Liu, Hong-Yuan Mark Liao
Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video. CVPR (2022)
Jun-Liang Lin, Yi-Lin Sung, Cheng-Yao Hong, Han-Hung Lee, Tyng-Luh Liu
The Maximum a Posterior Estimation of Darts. ICIP (2021)
Jhih-Ciang Wu, Sherman Lu, Chiou-Shann Fuh, Tyng-Luh Liu
One-class anomaly detection via novelty normalization. Comput. Vis. Image Underst. 210 (2021)
Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu, Yubei Chen, Yann LeCun
Decoupled Contrastive Learning. CoRR (2021)
Ding-Jie Chen, He-Yen Hsieh, Tyng-Luh Liu
Referring Image Segmentation via Language-Driven Attention. ICRA (2021)
Jun-Liang Lin, Tsung-Ting Hsieh, Yi-An Tung, Xuan-Jun Chen, Yu-Chun Hsiao, Chia-Lin Yang, Tyng-Luh Liu, Chien-Yu Chen
ezGeno: an automatic model selection package for genomic data analysis. Bioinform. 38 (1) (2021)
Wen-Li Wei, Jen-Chun Lin, Tyng-Luh Liu, Hsiao-Rong Tyan, Hsin-Min Wang, Hong-Yuan Mark Liao
Learning to Visualize Music Through Shot Sequence for Automatic Concert Video Mashup. IEEE Trans. Multim. 23 (2021)
Yu-Ying Chou, Hsuan-Tien Lin, Tyng-Luh Liu
Adaptive and Generative Zero-Shot Learning. ICLR (2021)
Ding-Jie Chen, He-Yen Hsieh, Tyng-Luh Liu
Adaptive Image Transformer for One-Shot Object Detection. CVPR (2021)
Jhih-Ciang Wu, Ding-Jie Chen, Chiou-Shann Fuh, Tyng-Luh Liu
Learning Unsupervised Metaformer for Anomaly Detection. ICCV (2021)
Ta Ying Cheng, Hsuan-Ru Yang, Niki Trigoni, Hwann-Tzong Chen, Tyng-Luh Liu
Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction. CoRR (2021)
Pin-Hao Huang, Han-Hung Lee, Hwann-Tzong Chen, Tyng-Luh Liu
Text-Guided Graph Neural Networks for Referring 3D Instance Segmentation. AAAI (2021)
Shih-Hung Liu, Shang-Yi Yu, Shao-Chi Wu, Hwann-Tzong Chen, Tyng-Luh Liu
Learning Gaussian Instance Segmentation in Point Clouds. CoRR (2020)
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, Kuan-Hua Chao, Yi-Chin Tu, Tyng-Luh Liu
A Cascaded Learning Strategy for Robust COVID-19 Pneumonia Chest X-Ray Screening. CoRR (2020)
Yi-Lin Sung, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu
Video Summarization with Anchors and Multi-Head Attention. ICIP (2020)
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
Self-similarity Student for Partial Label Histopathology Image Segmentation. ECCV (25) (2020)
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
Self-similarity Student for Partial Label Histopathology Image Segmentation. CoRR (2020)
He-Yen Hsieh, Ding-Jie Chen, Tyng-Luh Liu
Temporal Action Proposal Generation Via Deep Feature Enhancement. ICIP (2020)
Yen-Chi Hsu, Cheng-Yao Hong, Ming-Sui Lee, Tyng-Luh Liu
Query-Driven Multi-Instance Learning. AAAI (2020)
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
Social Distancing 2.0 with Privacy-Preserving Contact Tracing to Avoid a Second Wave of COVID-19. CoRR (2020)
Jen-Chun Lin, Wen-Li Wei, Yen-Yu Lin, Tyng-Luh Liu, Hong-Yuan Mark Liao
Learning From Music to Visual Storytelling of Shots: A Deep Interactive Learning Mechanism. ACM Multimedia (2020)
Ting-I Hsieh, Yi-Chen Lo, Hwann-Tzong Chen, Tyng-Luh Liu
One-Shot Object Detection with Co-Attention and Co-Excitation. NeurIPS (2019)
Ding-Jie Chen, Jui-Ting Chien, Hwann-Tzong Chen, Tyng-Luh Liu
Unsupervised Meta-Learning of Figure-Ground Segmentation via Imitating Visual Effects. AAAI (2019)
Ting-I Hsieh, Yi-Chen Lo, Hwann-Tzong Chen, Tyng-Luh Liu
One-Shot Object Detection with Co-Attention and Co-Excitation. CoRR (2019)
Jen-Chun Lin, Wen-Li Wei, Tyng-Luh Liu, C.-C. Jay Kuo, Mark Liao
Tell Me Where It is Still Blurry: Adversarial Blurred Region Mining and Refining. ACM Multimedia (2019)
Chih-Yao Chiu, Hwann-Tzong Chen, Tyng-Luh Liu
C2S2: Cost-aware Channel Sparse Selection for Progressive Network Pruning. CoRR (2019)
Yen-Chi Hsu, Cheng-Yao Hong, Ding-Jie Chen, Ming-Sui Lee, Davi Geiger, Tyng-Luh Liu
Fine-Grained Visual Recognition with Batch Confusion Norm. CoRR (2019)
Ding-Jie Chen, Songhao Jia, Yi-Chen Lo, Hwann-Tzong Chen, Tyng-Luh Liu
See-Through-Text Grouping for Referring Image Segmentation. ICCV (2019)
Jhih-Ciang Wu, Bing-Jhang Lin, Bing-Yuan Zeng, Li-Chen Fu, Chiou-Shann Fuh, Tyng-Luh Liu
Cast Search via Two-Stream Label Propagation. ICCV Workshops (2019)
Shou-Yao Roy Tseng, Hwann-Tzong Chen, Shao-Heng Tai, Tyng-Luh Liu
Non-local RoI for Cross-Object Perception. CoRR (2018)
Hsien-Tzu Cheng, Chun-Hung Chao, Jin-Dong Dong, Hao-Kai Wen, Tyng-Luh Liu, Min Sun
Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos. CoRR (2018)
Chao-Ning Liu, Ding-Jie Chen, Hwann-Tzong Chen, Tyng-Luh Liu
A2A: Attention to Attention Reasoning for Movie Question Answering. ACCV (6) (2018)
Shou-Yao Roy Tseng, Hwann-Tzong Chen, Shao-Heng Tai, Tyng-Luh Liu
Non-local RoIs for Instance Segmentation. CoRR (2018)
Wen-Li Wei, Jen-Chun Lin, Tyng-Luh Liu, Yi-Hsuan Yang, Hsin-Min Wang, Hsiao-Rong Tyan, Hong-Yuan Mark Liao
Seethevoice: Learning from Music to Visual Storytelling of Shots. ICME (2018)
Jen-Chun Lin, Wen-Li Wei, Tyng-Luh Liu, Yi-Hsuan Yang, Hsin-Min Wang, Hsiao-Rong Tyan, Hong-Yuan Mark Liao
Coherent Deep-Net Fusion To Classify Shots In Concert Videos. IEEE Trans. Multim. 20 (11) (2018)
Hsien-Tzu Cheng, Chun-Hung Chao, Jin-Dong Dong, Hao-Kai Wen, Tyng-Luh Liu, Min Sun
Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos. CVPR (2018)
Ding-Jie Chen, Jui-Ting Chien, Hwann-Tzong Chen, Tyng-Luh Liu
Unsupervised Meta-learning of Figure-Ground Segmentation via Imitating Visual Effects. CoRR (2018)
Wen-Li Wei, Jen-Chun Lin, Tyng-Luh Liu, Yi-Hsuan Yang, Hsin-Min Wang, Hsiao-Rong Tyan, Hong-Yuan Mark Liao
Deep-net fusion to classify shots in concert videos. ICASSP (2017)
Tyng-Luh Liu
Guided Co-training for Large-Scale Multi-View Spectral Clustering. CoRR (2017)
Tsung-Wei Ke, Che-Wei Lin, Tyng-Luh Liu, Davi Geiger
Variational Convolutional Networks for Human-Centric Annotations. ACCV (4) (2016)
Chung-Kuei Lee, Tyng-Luh Liu
Guided co-training for multi-view spectral clustering. ICIP (2016)
Tsung-Wei Ke, Tyng-Luh Liu
Recursive reduction net for large-scale high-dimensional data. ICIP (2016)
Tsung-Yu Lin, Tsung-Wei Ke, Tyng-Luh Liu
Implicit Sparse Code Hashing. CoRR (2015)
Jyh-Jing Hwang, Tyng-Luh Liu
Pixel-wise Deep Learning for Contour Detection. ICLR (Workshop) (2015)
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. ACM Multimedia (2015)
Tsung-Yu Lin, Tyng-Luh Liu
Efficient binary codes for extremely high-dimensional data. ICIP (2014)
Tyng-Luh Liu, Kai-Yueh Chang, Shang-Hong Lai
Exploring Depth Information for Object Segmentation and Detection. ICPR (2014)
Jyh-Jing Hwang, Tyng-Luh Liu
Contour Detection Using Cost-Sensitive Convolutional Neural Networks. CoRR (2014)
Chun-Wei Liu, Tyng-Luh Liu
A sparse linear model for saliency-guided decolorization. ICIP (2013)
Ching-Ting Tu, Kung-Hung Lin, Tyng-Luh Liu
A Two-dimensional Direct Combined Model for Facial Hallucination. MVA (2013)
Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh
Multiple Kernel Learning for Dimensionality Reduction. IEEE Trans. Pattern Anal. Mach. Intell. 33 (6) (2011)
Horng-Horng Lin, Jen-Hui Chuang, Tyng-Luh Liu
Regularized Background Adaptation: A Novel Learning Rate Control Scheme for Gaussian Mixture Modeling. IEEE Trans. Image Process. 20 (3) (2011)
Kai-Yueh Chang, Tyng-Luh Liu, Hwann-Tzong Chen, Shang-Hong Lai
Fusing generic objectness and visual saliency for salient object detection. ICCV (2011)
Kai-Yueh Chang, Tyng-Luh Liu, Shang-Hong Lai
From co-saliency to co-segmentation: An efficient and fully unsupervised energy minimization model. CVPR (2011)
Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh
Clustering Complex Data with Group-Dependent Feature Selection. ECCV (6) (2010)
Horng-Horng Lin, Tyng-Luh Liu, Jen-Hui Chuang
Learning a scene background model via classification. IEEE Trans. Signal Process. 57 (5) (2009)
Yu-Wu Chu, Tyng-Luh Liu
Co-occurrence Random Forests for Object Localization and Classification. ACCV (3) (2009)
Yen-Yu Lin, Jyun-Fan Tsai, Tyng-Luh Liu
Efficient discriminative local learning for object recognition. ICCV (2009)
Kai-Yueh Chang, Tyng-Luh Liu, Shang-Hong Lai
Learning partially-observed hidden conditional random fields for facial expression recognition. CVPR (2009)
Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh
Dimensionality Reduction for Data in Multiple Feature Representations. NIPS (2008)
Tien-Lung Chang, Tyng-Luh Liu, Jen-Hui Chuang
Improving local learning for object categorization by exploring the effects of ranking. CVPR (2008)
Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh
Local Ensemble Kernel Learning for Object Category Recognition. CVPR (2007)
Hwann-Tzong Chen, Tyng-Luh Liu
Finding Familiar Objects and their Depth from a Single Image. ICIP (6) (2007)
Tien-Lung Chang, Tyng-Luh Liu, Jen-Hui Chuang
Direct Energy Minimization for Super-Resolution on Nonlinear Manifolds. ECCV (4) (2006)
Hwann-Tzong Chen, Tyng-Luh Liu, Chiou-Shann Fuh
Segmenting Highly Articulated Video Objects with Weak-Prior Random Forests. ECCV (4) (2006)
Hwann-Tzong Chen, Tyng-Luh Liu, Chiou-Shann Fuh
Learning Effective Image Metrics from Few Pairwise Examples. ICCV (2005)
Yen-Yu Lin, Tyng-Luh Liu
Robust Face Detection with Multi-Class Boosting. CVPR (1) (2005)
Yen-Yu Lin, Tyng-Luh Liu, Hwann-Tzong Chen
Semantic manifold learning for image retrieval. ACM Multimedia (2005)
Yen-Yu Lin, Tyng-Luh Liu
Shape recognition using fast boosted filtering. ICIP (2) (2005)
Hwann-Tzong Chen, Tyng-Luh Liu, Chiou-Shann Fuh
Tone Reproduction: A Perspective from Luminance-Driven Perceptual Grouping. Int. J. Comput. Vis. 65 (1-2) (2005)
Hwann-Tzong Chen, Huang-Wei Chang, Tyng-Luh Liu
Local Discriminant Embedding and Its Variants. CVPR (2) (2005)
Hwann-Tzong Chen, Tyng-Luh Liu, Tien-Lung Chang
Tone Reproduction: A Perspective from Luminance-Driven Perceptual Grouping. CVPR (2) (2005)
Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh
Fast Object Detection with Occlusions. ECCV (1) (2004)
Hwann-Tzong Chen, Tyng-Luh Liu, Chiou-Shann Fuh
Probabilistic Tracking with Adaptive Feature Selection. ICPR (2) (2004)
Tien-Lung Chang, Tyng-Luh Liu
Detecting Deformable Objects with Flexible Shape Priors. ICPR (4) (2004)
Tyng-Luh Liu, Hwann-Tzong Chen
Real-Time Tracking Using Trust-Region Methods. IEEE Trans. Pattern Anal. Mach. Intell. 26 (3) (2004)
Davi Geiger, Tyng-Luh Liu, Robert Kohn
Representation and Self-Similarity of Shapes. IEEE Trans. Pattern Anal. Mach. Intell. 25 (1) (2003)
Hwann-Tzong Chen, Tyng-Luh Liu
Probabilistic Tracking with Optimal Scale and Orientation Selection. ICPR (2) (2002)
Horng-Horng Lin, Tyng-Luh Liu, Jen-Hui Chuang
A probabilistic SVM approach for background scene initialization. ICIP (3) (2002)
Hwann-Tzong Chen, Tyng-Luh Liu
Trust-Region Methods for Real-Time Tracking. ICCV (2001)
Hwann-Tzong Chen, Horng-Horng Lin, Tyng-Luh Liu
Multi-Object Tracking Using Dynamical Graph Matching. CVPR (2) (2001)
Tyng-Luh Liu, Hwann-Tzong Chen
A Variational Approach for Digital Watermarking. ICIP (2000)
Tyng-Luh Liu
A Generalized Shape-Axis Model for Planar Shapes. ICPR (2000)
Davi Geiger, Tyng-Luh Liu, Michael J. Donahue
Sparse Representations for Image Decompositions. Int. J. Comput. Vis. 33 (2) (1999)
Tyng-Luh Liu, Davi Geiger
Approximate Tree Matching and Shape Similarity. ICCV (1999)
Tyng-Luh Liu, Davi Geiger, Alan L. Yuille
Segmenting by seeking the symmetry axis. ICPR (1998)
Tyng-Luh Liu, Davi Geiger, Robert Kohn
Representation and Self-Similarity of Shapes. ICCV (1998)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tyng-Luh Liu