default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDTyng-Luh Liu
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c78]Pei-Kai Huang, Cheng-Hsuan Chiang, Tzu-Hsien Chen, Jun-Xiong Chong, Tyng-Luh Liu, Chiou-Ting Hsu:
One-Class Face Anti-Spoofing via Spoof Cue Map-Guided Feature Learning. CVPR 2024: 277-286- [c77]Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu:
Contrastive Learning for DeepFake Classification and Localization via Multi-Label Ranking. CVPR 2024: 17627-17637 - [c76]Chieh Liu, Yu-Min Chu, Ting-I Hsieh, Hwann-Tzong Chen, Tyng-Luh Liu
:
Learning Diffusion Models for Multi-view Anomaly Detection. ECCV (33) 2024: 328-345 - [c75]Chih-Jung Tsai, Hwann-Tzong Chen, Tyng-Luh Liu:
Pseudo-embedding for Generalized Few-Shot 3D Segmentation. ECCV (36) 2024: 383-400 - 2023
- [j12]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: 3885-3896 (2023) - [c74]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: 1-5 - [c73]He-Yen Hsieh, Ding-Jie Chen, Cheng-Wei Chang, Tyng-Luh Liu:
One-Shot Action Detection via Attention Zooming In. ICASSP 2023: 1-5 - [c72]Cheng-Yao Hong, Yu-Ying Chou, Tyng-Luh Liu:
Attention Discriminant Sampling for Point Clouds. ICCV 2023: 14383-14394 - [c71]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: 6185-6194 - [c70]He-Yen Hsieh, Ding-Jie Chen, Cheng-Wei Chang, Tyng-Luh Liu:
Aggregating Bilateral Attention for Few-Shot Instance Localization. WACV 2023: 6314-6323 - [i18]Shao-Yu Chang, Hwann-Tzong Chen, Tyng-Luh Liu:
DiffusionAtlas: High-Fidelity Consistent Diffusion Video Editing. CoRR abs/2312.03772 (2023) - 2022
- [c69]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: 427-435 - [c68]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: 13201-13210 - [c67]Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu, Yubei Chen, Yann LeCun:
Decoupled Contrastive Learning. ECCV (26) 2022: 668-684 - [c66]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: 729-745 - [c65]Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu:
SAGA: Self-Augmentation with Guided Attention for Representation Learning. ICASSP 2022: 3463-3467 - [c64]He-Yen Hsieh, Ding-Jie Chen, Tyng-Luh Liu:
Contextual Proposal Network for Action Localization. WACV 2022: 766-775 - [i17]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 abs/2203.08534 (2022) - 2021
- [j11]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): 30-37 (2021) - [j10]Jhih-Ciang Wu, Sherman Lu, Chiou-Shann Fuh, Tyng-Luh Liu:
One-class anomaly detection via novelty normalization. Comput. Vis. Image Underst. 210: 103226 (2021) - [j9]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: 1731-1743 (2021) - [c63]Pin-Hao Huang, Han-Hung Lee, Hwann-Tzong Chen, Tyng-Luh Liu:
Text-Guided Graph Neural Networks for Referring 3D Instance Segmentation. AAAI 2021: 1610-1618 - [c62]Ding-Jie Chen, He-Yen Hsieh, Tyng-Luh Liu:
Adaptive Image Transformer for One-Shot Object Detection. CVPR 2021: 12247-12256 - [c61]Jhih-Ciang Wu, Ding-Jie Chen, Chiou-Shann Fuh, Tyng-Luh Liu:
Learning Unsupervised Metaformer for Anomaly Detection. ICCV 2021: 4349-4358 - [c60]Jun-Liang Lin, Yi-Lin Sung, Cheng-Yao Hong, Han-Hung Lee, Tyng-Luh Liu:
The Maximum a Posterior Estimation of Darts. ICIP 2021: 419-423 - [c59]Yu-Ying Chou, Hsuan-Tien Lin, Tyng-Luh Liu:
Adaptive and Generative Zero-Shot Learning. ICLR 2021 - [c58]Ding-Jie Chen, He-Yen Hsieh, Tyng-Luh Liu:
Referring Image Segmentation via Language-Driven Attention. ICRA 2021: 13997-14003 - [i16]Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu, Yubei Chen, Yann LeCun:
Decoupled Contrastive Learning. CoRR abs/2110.06848 (2021) - [i15]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 abs/2112.12484 (2021) - 2020
- [c57]Yen-Chi Hsu, Cheng-Yao Hong, Ming-Sui Lee, Tyng-Luh Liu:
Query-Driven Multi-Instance Learning. AAAI 2020: 4158-4165 - [c56]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: 117-132 - [c55]He-Yen Hsieh, Ding-Jie Chen, Tyng-Luh Liu:
Temporal Action Proposal Generation Via Deep Feature Enhancement. ICIP 2020: 1391-1395 - [c54]Yi-Lin Sung, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu:
Video Summarization with Anchors and Multi-Head Attention. ICIP 2020: 2396-2400 - [c53]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: 102-110 - [i14]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 abs/2004.12786 (2020) - [i13]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 abs/2006.16611 (2020) - [i12]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 abs/2007.09610 (2020) - [i11]Shih-Hung Liu, Shang-Yi Yu, Shao-Chi Wu, Hwann-Tzong Chen, Tyng-Luh Liu:
Learning Gaussian Instance Segmentation in Point Clouds. CoRR abs/2007.09860 (2020)
2010 – 2019
- 2019
- [c52]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: 8159-8166 - [c51]Ding-Jie Chen, Songhao Jia, Yi-Chen Lo, Hwann-Tzong Chen, Tyng-Luh Liu:
See-Through-Text Grouping for Referring Image Segmentation. ICCV 2019: 7453-7462 - [c50]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: 1858-1862 - [c49]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: 702-710 - [c48]Ting-I Hsieh, Yi-Chen Lo, Hwann-Tzong Chen, Tyng-Luh Liu:
One-Shot Object Detection with Co-Attention and Co-Excitation. NeurIPS 2019: 2721-2730 - [i10]Chih-Yao Chiu, Hwann-Tzong Chen, Tyng-Luh Liu:
C2S2: Cost-aware Channel Sparse Selection for Progressive Network Pruning. CoRR abs/1904.03508 (2019) - [i9]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 abs/1910.12423 (2019) - [i8]Ting-I Hsieh, Yi-Chen Lo, Hwann-Tzong Chen, Tyng-Luh Liu:
One-Shot Object Detection with Co-Attention and Co-Excitation. CoRR abs/1911.12529 (2019) - 2018
- [j8]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): 3123-3136 (2018) - [c47]Chao-Ning Liu, Ding-Jie Chen, Hwann-Tzong Chen, Tyng-Luh Liu:
A2A: Attention to Attention Reasoning for Movie Question Answering. ACCV (6) 2018: 404-419 - [c46]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: 1420-1429 - [c45]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: 1-6 - [i7]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 abs/1806.01320 (2018) - [i6]Shou-Yao Roy Tseng, Hwann-Tzong Chen, Shao-Heng Tai, Tyng-Luh Liu:
Non-local RoIs for Instance Segmentation. CoRR abs/1807.05361 (2018) - [i5]Shou-Yao Roy Tseng, Hwann-Tzong Chen, Shao-Heng Tai, Tyng-Luh Liu:
Non-local RoI for Cross-Object Perception. CoRR abs/1811.10002 (2018) - [i4]Ding-Jie Chen, Jui-Ting Chien, Hwann-Tzong Chen, Tyng-Luh Liu:
Unsupervised Meta-learning of Figure-Ground Segmentation via Imitating Visual Effects. CoRR abs/1812.08442 (2018) - 2017
- [c44]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: 1383-1387 - [i3]Tyng-Luh Liu:
Guided Co-training for Large-Scale Multi-View Spectral Clustering. CoRR abs/1707.09866 (2017) - 2016
- [c43]Tsung-Wei Ke, Che-Wei Lin, Tyng-Luh Liu, Davi Geiger:
Variational Convolutional Networks for Human-Centric Annotations. ACCV (4) 2016: 120-135 - [c42]Tsung-Wei Ke, Tyng-Luh Liu:
Recursive reduction net for large-scale high-dimensional data. ICIP 2016: 1903-1907 - [c41]Chung-Kuei Lee, Tyng-Luh Liu:
Guided co-training for multi-view spectral clustering. ICIP 2016: 4042-4046 - 2015
- [c40]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: 1123-1126 - [c39]Jyh-Jing Hwang, Tyng-Luh Liu:
Pixel-wise Deep Learning for Contour Detection. ICLR (Workshop) 2015 - [i2]Tsung-Yu Lin, Tsung-Wei Ke, Tyng-Luh Liu:
Implicit Sparse Code Hashing. CoRR abs/1512.00130 (2015) - 2014
- [c38]Tsung-Yu Lin, Tyng-Luh Liu:
Efficient binary codes for extremely high-dimensional data. ICIP 2014: 2212-2216 - [c37]Tyng-Luh Liu, Kai-Yueh Chang, Shang-Hong Lai:
Exploring Depth Information for Object Segmentation and Detection. ICPR 2014: 4340-4345 - [i1]Jyh-Jing Hwang, Tyng-Luh Liu:
Contour Detection Using Cost-Sensitive Convolutional Neural Networks. CoRR abs/1412.6857 (2014) - 2013
- [c36]Chun-Wei Liu, Tyng-Luh Liu:
A sparse linear model for saliency-guided decolorization. ICIP 2013: 1105-1109 - [c35]Ching-Ting Tu, Kung-Hung Lin, Tyng-Luh Liu:
A Two-dimensional Direct Combined Model for Facial Hallucination. MVA 2013: 149-152 - 2011
- [j7]Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh:
Multiple Kernel Learning for Dimensionality Reduction. IEEE Trans. Pattern Anal. Mach. Intell. 33(6): 1147-1160 (2011) - [j6]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): 822-836 (2011) - [c34]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: 2129-2136 - [c33]Kai-Yueh Chang, Tyng-Luh Liu, Hwann-Tzong Chen, Shang-Hong Lai:
Fusing generic objectness and visual saliency for salient object detection. ICCV 2011: 914-921 - 2010
- [c32]Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh:
Clustering Complex Data with Group-Dependent Feature Selection. ECCV (6) 2010: 84-97
2000 – 2009
- 2009
- [j5]Horng-Horng Lin, Tyng-Luh Liu, Jen-Hui Chuang:
Learning a scene background model via classification. IEEE Trans. Signal Process. 57(5): 1641-1654 (2009) - [c31]Yu-Wu Chu, Tyng-Luh Liu:
Co-occurrence Random Forests for Object Localization and Classification. ACCV (3) 2009: 621-632 - [c30]Kai-Yueh Chang, Tyng-Luh Liu, Shang-Hong Lai:
Learning partially-observed hidden conditional random fields for facial expression recognition. CVPR 2009: 533-540 - [c29]Yen-Yu Lin, Jyun-Fan Tsai, Tyng-Luh Liu:
Efficient discriminative local learning for object recognition. ICCV 2009: 598-605 - 2008
- [c28]Tien-Lung Chang, Tyng-Luh Liu, Jen-Hui Chuang:
Improving local learning for object categorization by exploring the effects of ranking. CVPR 2008 - [c27]Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh:
Dimensionality Reduction for Data in Multiple Feature Representations. NIPS 2008: 961-968 - 2007
- [c26]Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh:
Local Ensemble Kernel Learning for Object Category Recognition. CVPR 2007 - [c25]Hwann-Tzong Chen, Tyng-Luh Liu:
Finding Familiar Objects and their Depth from a Single Image. ICIP (6) 2007: 389-392 - 2006
- [c24]Tien-Lung Chang, Tyng-Luh Liu, Jen-Hui Chuang:
Direct Energy Minimization for Super-Resolution on Nonlinear Manifolds. ECCV (4) 2006: 281-294 - [c23]Hwann-Tzong Chen, Tyng-Luh Liu, Chiou-Shann Fuh:
Segmenting Highly Articulated Video Objects with Weak-Prior Random Forests. ECCV (4) 2006: 373-385 - 2005
- [j4]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): 73-96 (2005) - [c22]Hwann-Tzong Chen, Tyng-Luh Liu, Tien-Lung Chang:
Tone Reproduction: A Perspective from Luminance-Driven Perceptual Grouping. CVPR (2) 2005: 369-376 - [c21]Yen-Yu Lin, Tyng-Luh Liu:
Robust Face Detection with Multi-Class Boosting. CVPR (1) 2005: 680-687 - [c20]Hwann-Tzong Chen, Huang-Wei Chang, Tyng-Luh Liu:
Local Discriminant Embedding and Its Variants. CVPR (2) 2005: 846-853 - [c19]Hwann-Tzong Chen, Tyng-Luh Liu, Chiou-Shann Fuh:
Learning Effective Image Metrics from Few Pairwise Examples. ICCV 2005: 1371-1378 - [c18]Yen-Yu Lin, Tyng-Luh Liu:
Shape recognition using fast boosted filtering. ICIP (2) 2005: 554-557 - [c17]Yen-Yu Lin, Tyng-Luh Liu, Hwann-Tzong Chen:
Semantic manifold learning for image retrieval. ACM Multimedia 2005: 249-258 - 2004
- [j3]Tyng-Luh Liu, Hwann-Tzong Chen:
Real-Time Tracking Using Trust-Region Methods. IEEE Trans. Pattern Anal. Mach. Intell. 26(3): 397-402 (2004) - [c16]Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh:
Fast Object Detection with Occlusions. ECCV (1) 2004: 402-413 - [c15]Tien-Lung Chang, Tyng-Luh Liu:
Detecting Deformable Objects with Flexible Shape Priors. ICPR (4) 2004: 155-158 - [c14]Hwann-Tzong Chen, Tyng-Luh Liu, Chiou-Shann Fuh:
Probabilistic Tracking with Adaptive Feature Selection. ICPR (2) 2004: 736-739 - 2003
- [j2]Davi Geiger, Tyng-Luh Liu, Robert Kohn:
Representation and Self-Similarity of Shapes. IEEE Trans. Pattern Anal. Mach. Intell. 25(1): 86-99 (2003) - 2002
- [c13]Horng-Horng Lin, Tyng-Luh Liu, Jen-Hui Chuang:
A probabilistic SVM approach for background scene initialization. ICIP (3) 2002: 893-896 - [c12]Hwann-Tzong Chen, Tyng-Luh Liu:
Probabilistic Tracking with Optimal Scale and Orientation Selection. ICPR (2) 2002: 668-671 - 2001
- [c11]Hwann-Tzong Chen, Horng-Horng Lin, Tyng-Luh Liu:
Multi-Object Tracking Using Dynamical Graph Matching. CVPR (2) 2001: 210-217 - [c10]Hwann-Tzong Chen, Tyng-Luh Liu:
Trust-Region Methods for Real-Time Tracking. ICCV 2001: 717-722 - 2000
- [c9]Tyng-Luh Liu, Hwann-Tzong Chen:
A Variational Approach for Digital Watermarking. ICIP 2000: 674-677 - [c8]Tyng-Luh Liu:
A Generalized Shape-Axis Model for Planar Shapes. ICPR 2000: 3491-3495
1990 – 1999
- 1999
- [j1]Davi Geiger, Tyng-Luh Liu, Michael J. Donahue:
Sparse Representations for Image Decompositions. Int. J. Comput. Vis. 33(2): 139-156 (1999) - [c7]Tyng-Luh Liu, Davi Geiger:
Approximate Tree Matching and Shape Similarity. ICCV 1999: 456-462 - 1998
- [c6]Tyng-Luh Liu, Davi Geiger, Robert Kohn:
Representation and Self-Similarity of Shapes. ICCV 1998: 1129-1138 - [c5]Tyng-Luh Liu, Davi Geiger, Alan L. Yuille:
Segmenting by seeking the symmetry axis. ICPR 1998: 994-998 - 1997
- [b1]Tyng-Luh Liu:
Deformable Object Recognition with Articulations and Occlusions. New York University, USA, 1997 - [c4]Tyng-Luh Liu, Davi Geiger:
Visual Deconstruction: Recognizing Articulated Objects. EMMCVPR 1997: 295-309 - 1996
- [c3]Michael J. Donahue, Davi Geiger, Tyng-Luh Liu, Robert A. Hummel:
Sparse Representations for Image Decomposition with Occlusions. CVPR 1996: 7-12 - [c2]Tyng-Luh Liu, Michael J. Donahue, Davi Geiger, Robert A. Hummel:
Image Recognition with Occlusions. ECCV (1) 1996: 556-565 - [c1]Davi Geiger, Tyng-Luh Liu:
Recognizing Articulated Objects with Information Theoretic Methods. FG 1996: 45-50
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-07 21:34 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
