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ORCIDYing Wu 0001
Person information
- affiliation: Northwestern University, Department of Electrical Engineering and Computer Science, Evanston, IL, USA
- affiliation (PhD 2001): University of Illinois at Urbana-Champaign, IL, USA
Other persons with the same name
- Ying Wu — disambiguation page
- Ying Wu 0002 — Zhengzhou Information Science and Technology Institute, China (and 1 more)
- Ying Wu 0003
![[0000-0003-2459-2605]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-2459-2605")
— Delft University of Technology, Department of Microelectronics, The Netherlands (and 1 more) - Ying Wu 0004 — University College Cork Glucksman Marine Facility, Naval Base, Haulbowline, Ireland (and 1 more)
- Ying Wu 0005 — Chongqing University of Science and Technology, School of Intelligent Technology and Engineering, Chongqing, China
- Ying Wu 0006 — Nankai University, College of Computer and Control Engineering, Tianjin, China (and 1 more)
- Ying Wu 0007 — Capital Medical University, School of Nursing, Beijing, China
- Ying Wu 0008 — Chinese Academy of Sciences, Institute of Information Engineering, State Key Laboratory of Information Security, Beijing, China (and 1 more)
- Ying Wu 0009 — Iowa State University, Department of Mechanical Engineering, Ames, IA, USA
- Ying Wu 0010 — Inner Mongolia Minzu University, College of Mathematics and Physics, Tongliao, China
- Ying Wu 0011 — Guangdong University of Technology, School of Automation, Guangzhou, China
- Ying Wu 0012 — Nankai University, Institute of Statistics, Tianjin, China (and 2 more)
- Ying Wu 0013 — Southwestern University of Finance and Economics, School of Finance, Chengdu, China
- Ying Wu 0014 — Bohai University, College of Engineering, Jinzhou, China
- Ying Wu 0015 — Xi'an Jiaotong University, School of Aerospace, State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi'an, China (and 3 more)
- Ying Wu 0016 — Nanjing University of Information Science & Technology, School of Atmospheric Physics, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing, China
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2020 – today
- 2024
[j66]Jianxiong Zhou, Ying Wu:
Micro-expression spotting with a novel wavelet convolution magnification network in long videos. Pattern Recognit. Lett. 178: 130-137 (2024)- [j65]Jianxiong Zhou, Ying Wu:
Outlier-Probability-Based Feature Adaptation for Robust Unsupervised Anomaly Detection on Contaminated Training Data. IEEE Trans. Circuits Syst. Video Technol. 34(10): 10023-10035 (2024) - [c153]Mingfu Liang, Jong-Chyi Su, Samuel Schulter, Sparsh Garg, Shiyu Zhao, Ying Wu, Manmohan Chandraker:
AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving. CVPR 2024: 14695-14706 - [c152]Lei Fan, Mingfu Liang, Yunxuan Li, Gang Hua, Ying Wu:
Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception. CVPR 2024: 16351-16361 - [c151]Lei Fan, Jianxiong Zhou, Xiaoying Xing, Ying Wu:
Active Open-Vocabulary Recognition: Let Intelligent Moving Mitigate CLIP Limitations. CVPR 2024: 16394-16403 - [c150]Xiaoying Xing, Peixi Xiong, Lei Fan, Yunxuan Li, Ying Wu:
Learning to Ask Denotative and Connotative Questions for Knowledge-based VQA. EMNLP (Findings) 2024: 8301-8315 - [i23]Mingfu Liang, Jong-Chyi Su, Samuel Schulter, Sparsh Garg, Shiyu Zhao, Ying Wu, Manmohan Chandraker:
AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving. CoRR abs/2403.17373 (2024) - 2023
- [b2]Song-Chun Zhu, Ying Wu:
Computer Vision - Statistical Models for Marr's Paradigm. Springer 2023, ISBN 978-3-030-96529-7, pp. 1-344 - [j64]Jiahuan Zhou, Bing Su, Ying Wu:
Discriminative Self-Paced Group-Metric Adaptation for Online Visual Identification. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4368-4383 (2023) - [c149]Lei Fan, Bo Liu, Haoxiang Li, Ying Wu, Gang Hua:
Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance. ICCV 2023: 1338-1347 - [c148]Hai Zhu, Huayi Zhan, Hong Cheng, Ying Wu:
Emotional Voice Conversion with Semi-Supervised Generative Modeling. INTERSPEECH 2023: 2278-2282 - [c147]Xiaoying Xing, Mingfu Liang, Ying Wu:
TOA: Task-oriented Active VQA. NeurIPS 2023 - [c146]Lei Fan, Ying Wu:
Avoiding Lingering in Learning Active Recognition by Adversarial Disturbance. WACV 2023: 4601-4610 - [c145]Jianxiong Zhou, Ying Wu:
Temporal Feature Enhancement Dilated Convolution Network for Weakly-supervised Temporal Action Localization. WACV 2023: 6017-6026 - [i22]Lei Fan, Bo Liu, Haoxiang Li, Ying Wu, Gang Hua:
Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance. CoRR abs/2309.07403 (2023) - [i21]Zhijun Zhang, Xu Zou, Jiahuan Zhou, Sheng Zhong, Ying Wu:
A Grammatical Compositional Model for Video Action Detection. CoRR abs/2310.02887 (2023) - [i20]Lei Fan, Mingfu Liang, Yunxuan Li, Gang Hua, Ying Wu:
Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception. CoRR abs/2311.13793 (2023) - [i19]Lei Fan, Jianxiong Zhou, Xiaoying Xing, Ying Wu:
Active Open-Vocabulary Recognition: Let Intelligent Moving Mitigate CLIP Limitations. CoRR abs/2311.17938 (2023) - 2022
- [j63]Bing Su, Ying Wu:
Learning Meta-Distance for Sequences by Learning a Ground Metric via Virtual Sequence Regression. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 286-301 (2022) - [j62]Bing Su, Jiahuan Zhou, Ji-Rong Wen, Ying Wu:
Linear and Deep Order-Preserving Wasserstein Discriminant Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 3123-3138 (2022) - [j61]Yanxi Liu, James M. Rehg, Camillo J. Taylor, Ying Wu:
Introduction to the Special Section of CVPR 2017. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 8702-8703 (2022) - [c144]Mingfu Liang, Jiahuan Zhou, Wei Wei, Ying Wu:
Balancing Between Forgetting and Acquisition in Incremental Subpopulation Learning. ECCV (26) 2022: 364-380 - [c143]Lei Fan, Yunxuan Li, Chen Jiang, Ying Wu:
Unsupervised Depth Completion and Denoising for RGB-D Sensors. ICRA 2022: 8734-8740 - [c142]Xin Wang, Chuan Xie, Qiang Wu, Huayi Zhan, Ying Wu:
A Novel Phoneme-based Modeling for Text-independent Speaker Identification. INTERSPEECH 2022: 4775-4779 - [c141]Liang Sun, Menghong Liu, Huayi Zhan, Ying Wu:
A Sequential Decision-theoretic Method for Detecting Mobile Robots Localization Failures. IV 2022: 1531-1535 - [i18]Peixi Xiong, Quanzeng You, Pei Yu, Zicheng Liu, Ying Wu:
SA-VQA: Structured Alignment of Visual and Semantic Representations for Visual Question Answering. CoRR abs/2201.10654 (2022) - 2021
- [j60]Xu Zou, Peng Xiao, Jianhui Wang, Luxin Yan, Sheng Zhong, Ying Wu:
Towards Unconstrained Facial Landmark Detection Robust to Diverse Cropping Manners. IEEE Trans. Circuits Syst. Video Technol. 31(5): 2070-2075 (2021) - [j59]Bo Wang, Chunfeng Yuan, Bing Li, Xinmiao Ding, Zeya Li, Ying Wu, Weiming Hu:
Multi-Scale Low-Discriminative Feature Reactivation for Weakly Supervised Object Localization. IEEE Trans. Image Process. 30: 6050-6065 (2021) - [c140]Xiangyun Zhao, Xu Zou, Ying Wu:
Morphable Detector for Object Detection on Demand. ICCV 2021: 4751-4760 - [c139]Xiangyun Zhao, Raviteja Vemulapalli, Philip Andrew Mansfield, Boqing Gong, Bradley Green, Lior Shapira, Ying Wu:
Contrastive Learning for Label Efficient Semantic Segmentation. ICCV 2021: 10603-10613 - [c138]Lei Fan, Peixi Xiong, Wei Wei, Ying Wu:
FLAR: A Unified Prototype Framework for Few-sample Lifelong Active Recognition. ICCV 2021: 15374-15383 - [i17]Wei Wei, Haonan Yu, Haichao Zhang, Wei Xu, Ying Wu:
MetaView: Few-shot Active Object Recognition. CoRR abs/2103.04242 (2021) - [i16]Wei Wei, Li Guan, Yue Liu, Hao Kang, Haoxiang Li, Ying Wu, Gang Hua:
Beyond Visual Attractiveness: Physically Plausible Single Image HDR Reconstruction for Spherical Panoramas. CoRR abs/2103.12926 (2021) - [i15]Jiahuan Zhou, Yansong Tang, Bing Su, Ying Wu:
Unsupervised Embedding Learning from Uncertainty Momentum Modeling. CoRR abs/2107.08892 (2021) - [i14]Xiangyun Zhao, Xu Zou, Ying Wu:
Morphable Detector for Object Detection on Demand. CoRR abs/2110.04917 (2021) - 2020
- [j58]Gaofeng Meng, Chunhong Pan, Shiming Xiang, Ying Wu:
Baselines Extraction from Curved Document Images via Slope Fields Recovery. IEEE Trans. Pattern Anal. Mach. Intell. 42(4): 793-808 (2020) - [j57]Bing Su, Ying Wu:
Learning Low-Dimensional Temporal Representations with Latent Alignments. IEEE Trans. Pattern Anal. Mach. Intell. 42(11): 2842-2857 (2020) - [j56]Jiahuan Zhou, Ying Wu:
Learning Visual Instance Retrieval from Failure: Efficient Online Local Metric Adaptation from Negative Samples. IEEE Trans. Pattern Anal. Mach. Intell. 42(11): 2858-2873 (2020) - [c137]Jiahuan Zhou, Bing Su, Ying Wu:
Online Joint Multi-Metric Adaptation From Frequent Sharing-Subset Mining for Person Re-Identification. CVPR 2020: 2906-2915 - [c136]Yansong Tang, Zanlin Ni, Jiahuan Zhou, Danyang Zhang, Jiwen Lu, Ying Wu, Jie Zhou:
Uncertainty-Aware Score Distribution Learning for Action Quality Assessment. CVPR 2020: 9836-9845 - [c135]Peixi Xiong, Ying Wu:
TA-Student VQA: Multi-Agents Training by Self-Questioning. CVPR 2020: 10062-10072 - [c134]Xiangyun Zhao, Samuel Schulter, Gaurav Sharma, Yi-Hsuan Tsai, Manmohan Chandraker, Ying Wu:
Object Detection with a Unified Label Space from Multiple Datasets. ECCV (14) 2020: 178-193 - [i13]Yansong Tang, Zanlin Ni, Jiahuan Zhou, Danyang Zhang, Jiwen Lu, Ying Wu, Jie Zhou:
Uncertainty-aware Score Distribution Learning for Action Quality Assessment. CoRR abs/2006.07665 (2020) - [i12]Gengxing Wang, Jiahuan Zhou, Ying Wu:
Exposing Deep-faked Videos by Anomalous Co-motion Pattern Detection. CoRR abs/2008.04848 (2020) - [i11]Xiangyun Zhao, Samuel Schulter, Gaurav Sharma, Yi-Hsuan Tsai, Manmohan Chandraker, Ying Wu:
Object Detection with a Unified Label Space from Multiple Datasets. CoRR abs/2008.06614 (2020) - [i10]Xiangyun Zhao, Raviteja Vemulapalli, Philip Andrew Mansfield, Boqing Gong, Bradley Green, Lior Shapira, Ying Wu:
Contrastive Learning for Label-Efficient Semantic Segmentation. CoRR abs/2012.06985 (2020)
2010 – 2019
- 2019
- [c133]Wei Tang, Ying Wu:
Does Learning Specific Features for Related Parts Help Human Pose Estimation? CVPR 2019: 1107-1116 - [c132]Peixi Xiong, Huayi Zhan, Xin Wang, Baivab Sinha, Ying Wu:
Visual Query Answering by Entity-Attribute Graph Matching and Reasoning. CVPR 2019: 8357-8366 - [c131]Xu Zou, Sheng Zhong, Luxin Yan, Xiangyun Zhao, Jiahuan Zhou, Ying Wu:
Learning Robust Facial Landmark Detection via Hierarchical Structured Ensemble. ICCV 2019: 141-150 - [c130]Xiangyun Zhao, Yi Yang, Feng Zhou, Xiao Tan, Yuchen Yuan, Yingze Bao, Ying Wu:
Recognizing Part Attributes With Insufficient Data. ICCV 2019: 350-360 - [c129]Bing Su, Jiahuan Zhou, Ying Wu:
Order-Preserving Wasserstein Discriminant Analysis. ICCV 2019: 9884-9893 - [c128]Zhibin Zhong, Chi Zhang, Yuehu Liu, Ying Wu:
VIASEG: Visual Information Assisted Lightweight Point Cloud Segmentation. ICIP 2019: 1500-1504 - [c127]Bing Su, Ying Wu:
Learning Distance for Sequences by Learning a Ground Metric. ICML 2019: 6015-6025 - [i9]Peixi Xiong, Huayi Zhan, Xin Wang, Baivab Sinha, Ying Wu:
Visual Query Answering by Entity-Attribute Graph Matching and Reasoning. CoRR abs/1903.06994 (2019) - [i8]Chi Zhang, Yuehu Liu, Ying Wu, Qilin Zhang, Le Wang:
Bimodal Stereo: Joint Shape and Pose Estimation from Color-Depth Image Pair. CoRR abs/1905.06499 (2019) - [i7]Xiangyun Zhao, Yi Yang, Feng Zhou, Xiao Tan, Yuchen Yuan, Yingze Bao, Ying Wu:
Recognizing Part Attributes with Insufficient Data. CoRR abs/1908.03335 (2019) - 2018
- [j55]Xinzhao Li, Yuanqi Su, Yuehu Liu, Shaozhuo Zhai, Ying Wu:
Active target tracking: A simplified view aligning method for binocular camera model. Comput. Vis. Image Underst. 175: 11-23 (2018) - [j54]Bing Su, Xiaoqing Ding, Hao Wang, Ying Wu:
Discriminative Dimensionality Reduction for Multi-Dimensional Sequences. IEEE Trans. Pattern Anal. Mach. Intell. 40(1): 77-91 (2018) - [j53]Trevor Darrell, Christoph Lampert, Nicu Sebe, Ying Wu, Yan Yan:
Guest Editors' Introduction to the Special Section on Learning with Shared Information for Computer Vision and Multimedia Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 40(5): 1029-1031 (2018) - [j52]Weijun Zhang, Sheng Zhong, Wenhui Xu, Ying Wu:
Motion Correlation Discovery for Visual Tracking. IEEE Signal Process. Lett. 25(11): 1720-1724 (2018) - [j51]Bing Su, Xiaoqing Ding, Changsong Liu, Ying Wu:
Heteroscedastic Max-Min Distance Analysis for Dimensionality Reduction. IEEE Trans. Image Process. 27(8): 4052-4065 (2018) - [j50]Ziyi Liu, Le Wang, Gang Hua, Qilin Zhang, Zhenxing Niu, Ying Wu, Nanning Zheng:
Joint Video Object Discovery and Segmentation by Coupled Dynamic Markov Networks. IEEE Trans. Image Process. 27(12): 5840-5853 (2018) - [c126]Jiahuan Zhou, Bing Su, Ying Wu:
Easy Identification From Better Constraints: Multi-Shot Person Re-Identification From Reference Constraints. CVPR 2018: 5373-5381 - [c125]Hao Ge, Yin Xia, Xu Chen, Randall Berry, Ying Wu:
Fictitious GAN: Training GANs with Historical Models. ECCV (1) 2018: 122-137 - [c124]Gaofeng Meng, Yuanqi Su, Ying Wu, Shiming Xiang, Chunhong Pan:
Exploiting Vector Fields for Geometric Rectification of Distorted Document Images. ECCV (16) 2018: 180-195 - [c123]Wei Tang, Pei Yu, Ying Wu:
Deeply Learned Compositional Models for Human Pose Estimation. ECCV (3) 2018: 197-214 - [c122]Xiangyun Zhao, Haoxiang Li, Xiaohui Shen, Xiaodan Liang, Ying Wu:
A Modulation Module for Multi-task Learning with Applications in Image Retrieval. ECCV (1) 2018: 415-432 - [c121]Xinzhao Li, Yuehu Liu, Zeqi Chen, Jiahuan Zhou, Ying Wu:
Fused Discriminative Metric Learning for Low Resolution Pedestrian Detection. ICIP 2018: 958-962 - [c120]Bing Su, Ying Wu:
Learning Low-Dimensional Temporal Representations. ICML 2018: 4768-4777 - [i6]Hao Ge, Yin Xia, Xu Chen, Randall Berry, Ying Wu:
Fictitious GAN: Training GANs with Historical Models. CoRR abs/1803.08647 (2018) - [i5]Xiangyun Zhao, Haoxiang Li, Xiaohui Shen, Xiaodan Liang, Ying Wu:
A Modulation Module for Multi-task Learning with Applications in Image Retrieval. CoRR abs/1807.06708 (2018) - [i4]Wei Tang, John Corring, Ying Wu, Gang Hua:
A Compositional Textual Model for Recognition of Imperfect Word Images. CoRR abs/1811.11239 (2018) - 2017
- [j49]Bing Su, Xiaoqing Ding, Changsong Liu, Hao Wang, Ying Wu:
Discriminative Transformation for Multi-Dimensional Temporal Sequences. IEEE Trans. Image Process. 26(7): 3579-3593 (2017) - [j48]Bing Su, Jiahuan Zhou, Xiaoqing Ding, Ying Wu:
Unsupervised Hierarchical Dynamic Parsing and Encoding for Action Recognition. IEEE Trans. Image Process. 26(12): 5784-5799 (2017) - [j47]Jin Li, Xuguang Lan, Xiangwei Li, Jiang Wang, Nanning Zheng, Ying Wu:
Online Variable Coding Length Product Quantization for Fast Nearest Neighbor Search in Mobile Retrieval. IEEE Trans. Multim. 19(3): 559-570 (2017) - [c119]Pei Yu, Jiang Wang, Ying Wu:
Human Action Segmentation using 3D Fully Convolutional Network. BMVC 2017 - [c118]Jiahuan Zhou, Pei Yu, Wei Tang, Ying Wu:
Efficient Online Local Metric Adaptation via Negative Samples for Person Re-identification. ICCV 2017: 2439-2447 - [c117]Wei Tang, Pei Yu, Jiahuan Zhou, Ying Wu:
Towards a Unified Compositional Model for Visual Pattern Modeling. ICCV 2017: 2803-2812 - [c116]Gaofeng Meng, Kun Yuan, Ying Wu, Shiming Xiang, Chunhong Pan:
Deep Networks for Degraded Document Image Binarization through Pyramid Reconstruction. ICDAR 2017: 727-732 - 2016
- [j46]Yin Xia, Sarfaraz Hussein, Vivek K. Singh, Matthias John, Ying Wu, Terrence Chen:
Context region discovery for automatic motion compensation in fluoroscopy. Int. J. Comput. Assist. Radiol. Surg. 11(6): 977-985 (2016) - [c115]Pei Yu, Jiahuan Zhou, Ying Wu:
Learning Reconstruction-Based Remote Gaze Estimation. CVPR 2016: 3447-3455 - [c114]Bing Su, Jiahuan Zhou, Xiaoqing Ding, Hao Wang, Ying Wu:
Hierarchical Dynamic Parsing and Encoding for Action Recognition. ECCV (4) 2016: 202-217 - [c113]Jiahuan Zhou, Ying Wu:
Finding the right exemplars for reconstructing single image super-resolution. ICIP 2016: 1414-1418 - 2015
- [j45]Zhenyu An, Zhenwei Shi, Ying Wu, Changshui Zhang:
A novel unsupervised approach to discovering regions of interest in traffic images. Pattern Recognit. 48(8): 2581-2591 (2015) - [j44]Wei Tang, Zhenwei Shi, Ying Wu, Changshui Zhang:
Sparse Unmixing of Hyperspectral Data Using Spectral A Priori Information. IEEE Trans. Geosci. Remote. Sens. 53(2): 770-783 (2015) - [c112]Bing Su, Xiaoqing Ding, Changsong Liu, Ying Wu:
Heteroscedastic max-min distance analysis. CVPR 2015: 4539-4547 - 2014
- [b1]Jiang Wang, Zicheng Liu, Ying Wu:
Human Action Recognition with Depth Cameras. Springer Briefs in Computer Science, Springer 2014, ISBN 978-3-319-04560-3, pp. 1-58 - [j43]Ilya Mikhelson, Philip Greggory Lee, Alan V. Sahakian, Ying Wu, Aggelos K. Katsaggelos:
Automatic, fast, online calibration between depth and color cameras. J. Vis. Commun. Image Represent. 25(1): 218-226 (2014) - [j42]Jiang Wang, Zicheng Liu, Ying Wu, Junsong Yuan:
Learning Actionlet Ensemble for 3D Human Action Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 36(5): 914-927 (2014) - [j41]Xiaohui Shen, Zhe Lin, Jonathan Brandt, Ying Wu:
Spatially-Constrained Similarity Measurefor Large-Scale Object Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 36(6): 1229-1241 (2014) - [j40]Wei Tang, Zhenwei Shi, Ying Wu:
Regularized Simultaneous Forward-Backward Greedy Algorithm for Sparse Unmixing of Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. 52(9): 5271-5288 (2014) - [j39]Hongxing Wang, Junsong Yuan, Ying Wu:
Context-Aware Discovery of Visual Co-Occurrence Patterns. IEEE Trans. Image Process. 23(4): 1805-1819 (2014) - [c111]Jiang Wang, Yang Song, Thomas Leung, Chuck Rosenberg, Jingbin Wang, James Philbin, Bo Chen, Ying Wu:
Learning Fine-Grained Image Similarity with Deep Ranking. CVPR 2014: 1386-1393 - [c110]Jiang Wang, Xiaohan Nie, Yin Xia, Ying Wu, Song-Chun Zhu:
Cross-View Action Modeling, Learning, and Recognition. CVPR 2014: 2649-2656 - [c109]Nan Jiang, Ying Wu:
Unifying Spatial and Attribute Selection for Distracter-Resilient Tracking. CVPR 2014: 3502-3509 - [c108]Jiang Wang, Xiaohan Nie, Yin Xia, Ying Wu:
Mining discriminative 3D Poselet for cross-view action recognition. WACV 2014: 634-639 - [i3]Philip Greggory Lee, Ying Wu:
Scalable Matting: A Sub-linear Approach. CoRR abs/1404.3933 (2014) - [i2]Jiang Wang, Yang Song, Thomas Leung, Chuck Rosenberg, Jingbin Wang, James Philbin, Bo Chen, Ying Wu:
Learning Fine-grained Image Similarity with Deep Ranking. CoRR abs/1404.4661 (2014) - [i1]Jiang Wang, Xiaohan Nie, Yin Xia, Ying Wu, Song-Chun Zhu:
Cross-view Action Modeling, Learning and Recognition. CoRR abs/1405.2941 (2014) - 2013
- [j38]Heng Su, Nan Jiang, Ying Wu, Jie Zhou:
Single image super-resolution based on space structure learning. Pattern Recognit. Lett. 34(16): 2094-2101 (2013) - [j37]Jialue Fan, Xiaohui Shen, Ying Wu:
What Are We Tracking: A Unified Approach of Tracking and Recognition. IEEE Trans. Image Process. 22(2): 549-560 (2013) - [c107]Zhuoyuan Chen, Hailin Jin, Zhe Lin, Scott Cohen, Ying Wu:
Large Displacement Optical Flow from Nearest Neighbor Fields. CVPR 2013: 2443-2450 - [c106]Xiaohui Shen, Zhe Lin, Jonathan Brandt, Ying Wu:
Detecting and Aligning Faces by Image Retrieval. CVPR 2013: 3460-3467 - [c105]Zhuoyuan Chen, Ying Wu:
Robust Dictionary Learning by Error Source Decomposition. ICCV 2013: 2216-2223 - [c104]Jiang Wang, Ying Wu:
Learning Maximum Margin Temporal Warping for Action Recognition. ICCV 2013: 2688-2695 - 2012
- [j36]Xiaohui Shen, Gang Hua, Lance Williams, Ying Wu:
Dynamic hand gesture recognition: An exemplar-based approach from motion divergence fields. Image Vis. Comput. 30(3): 227-235 (2012) - [j35]Jialue Fan, Xiaohui Shen, Ying Wu:
Scribble Tracker: A Matting-Based Approach for Robust Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 34(8): 1633-1644 (2012) - [j34]Heng Su, Liang Tang, Ying Wu, Daniel Tretter, Jie Zhou:
Spatially Adaptive Block-Based Super-Resolution. IEEE Trans. Image Process. 21(3): 1031-1045 (2012) - [j33]Nan Jiang, Heng Su, Wenyu Liu, Ying Wu:
Discriminative Metric Preservation for Tracking Low-Resolution Targets. IEEE Trans. Image Process. 21(3): 1284-1297 (2012) - [j32]Heng Su, Ying Wu, Jie Zhou:
Super-Resolution Without Dense Flow. IEEE Trans. Image Process. 21(4): 1782-1795 (2012) - [j31]Junsong Yuan, Gangqiang Zhao, Yun Fu, Zhu Li, Aggelos K. Katsaggelos, Ying Wu:
Discovering Thematic Objects in Image Collections and Videos. IEEE Trans. Image Process. 21(4): 2207-2219 (2012) - [j30]Junsong Yuan, Ying Wu:
Mining Visual Collocation Patterns via Self-Supervised Subspace Learning. IEEE Trans. Syst. Man Cybern. Part B 42(2): 334-346 (2012) - [c103]Xiaohui Shen, Ying Wu:
A unified approach to salient object detection via low rank matrix recovery. CVPR 2012: 853-860 - [c102]Jiang Wang, Zicheng Liu, Ying Wu, Junsong Yuan:
Mining actionlet ensemble for action recognition with depth cameras. CVPR 2012: 1290-1297 - [c101]Zhuoyuan Chen, Jiang Wang, Ying Wu:
Decomposing and regularizing sparse/non-sparse components for motion field estimation. CVPR 2012: 1776-1783 - [c100]Nan Jiang, Wenyu Liu, Ying Wu:
Order determination and sparsity-regularized metric learning adaptive visual tracking. CVPR 2012: 1956-1963 - [c99]Xiaohui Shen, Zhe Lin, Jonathan Brandt, Shai Avidan, Ying Wu:
Object retrieval and localization with spatially-constrained similarity measure and k-NN re-ranking. CVPR 2012: 3013-3020 - [c98]Xiaohui Shen, Zhe Lin, Jonathan Brandt, Ying Wu:
Mobile Product Image Search by Automatic Query Object Extraction. ECCV (4) 2012: 114-127 - [c97]Jiang Wang, Zicheng Liu, Jan Chorowski, Zhuoyuan Chen, Ying Wu:
Robust 3D Action Recognition with Random Occupancy Patterns. ECCV (2) 2012: 872-885 - [c96]Jiang Wang, Junsong Yuan, Zhuoyuan Chen, Ying Wu:
Spatial Locality-Aware Sparse Coding and Dictionary Learning. ACML 2012: 491-505 - 2011
- [j29]Jiang Xu, Junsong Yuan, Ying Wu:
Learning spatio-temporal dependency of local patches for complex motion segmentation. Comput. Vis. Image Underst. 115(3): 334-351 (2011) - [j28]Gangqiang Zhao, Junsong Yuan, Jiang Xu, Ying Wu:
Discovering the Thematic Object in Commercial Videos. IEEE Multim. 18(3): 56-65 (2011) - [j27]Junsong Yuan, Zicheng Liu, Ying Wu:
Discriminative Video Pattern Search for Efficient Action Detection. IEEE Trans. Pattern Anal. Mach. Intell. 33(9): 1728-1743 (2011) - [j26]Rama Chellappa, Andrea Cavallaro, Ying Wu, Caifeng Shan, Yun Fu, Kari Pulli:
Special Issue on Video Analysis on Resource-Limited Systems. IEEE Trans. Circuits Syst. Video Technol. 21(10): 1349-1352 (2011) - [j25]Nan Jiang, Wenyu Liu, Ying Wu:
Learning Adaptive Metric for Robust Visual Tracking. IEEE Trans. Image Process. 20(8): 2288-2300 (2011) - [c95]Nan Jiang, Wenyu Liu, Ying Wu:
Adaptive and discriminative metric differential tracking. CVPR 2011: 1161-1168 - [c94]Nan Jiang, Wenyu Liu, Heng Su, Ying Wu:
Tracking low resolution objects by metric preservation. CVPR 2011: 1329-1336 - [c93]Philip Greggory Lee, Ying Wu:
Nonlocal matting. CVPR 2011: 2193-2200 - [c92]Junsong Yuan, Ming Yang, Ying Wu:
Mining discriminative co-occurrence patterns for visual recognition. CVPR 2011: 2777-2784 - [c91]Jiang Wang, Zhuoyuan Chen, Ying Wu:
Action recognition with multiscale spatio-temporal contexts. CVPR 2011: 3185-3192 - [c90]Xiaohui Shen, Gang Hua, Lance Williams, Ying Wu:
Motion divergence fields for dynamic hand gesture recognition. FG 2011: 492-499 - [c89]Heng Su, Ying Wu, Jie Zhou:
Adaptive incremental video super-resolution with temporal consistency. ICIP 2011: 1149-1152 - [c88]Jialue Fan, Ying Wu:
Contextual saliency. VCIP 2011: 1-4 - 2010
- [j24]Ming Yang, Jim E. Crenshaw, Bruce Augustine, Russell Mareachen, Ying Wu:
AdaBoost-based face detection for embedded systems. Comput. Vis. Image Underst. 114(11): 1116-1125 (2010) - [j23]Jie Zhou, Dingrui Wan, Ying Wu:
The Chameleon-Like Vision System. IEEE Signal Process. Mag. 27(5): 91-101 (2010) - [j22]Junsong Yuan, Jiebo Luo, Ying Wu:
Mining Compositional Features From GPS and Visual Cues for Event Recognition in Photo Collections. IEEE Trans. Multim. 12(7): 705-716 (2010) - [j21]Jialue Fan, Wei Xu, Ying Wu, Yihong Gong:
Human tracking using convolutional neural networks. IEEE Trans. Neural Networks 21(10): 1610-1623 (2010) - [j20]Hongbo Jiang, Wenping Liu, Dan Wang, Chen Tian, Xiang Bai, Xue Liu, Ying Wu, Wenyu Liu:
Connectivity-Based Skeleton Extraction in Wireless Sensor Networks. IEEE Trans. Parallel Distributed Syst. 21(5): 710-721 (2010) - [c87]Xiaohui Shen, Ying Wu:
Sparsity model for robust optical flow estimation at motion discontinuities. CVPR 2010: 2456-2463 - [c86]Jialue Fan, Xiaohui Shen, Ying Wu:
Closed-Loop Adaptation for Robust Tracking. ECCV (1) 2010: 411-424 - [c85]Jialue Fan, Ying Wu, Shengyang Dai:
Discriminative Spatial Attention for Robust Tracking. ECCV (1) 2010: 480-493 - [c84]Xiaohui Shen, Ying Wu:
Exploiting sparsity in dense optical flow. ICIP 2010: 741-744 - [c83]Jialue Fan, Nan Jiang, Ying Wu:
Automatic video-based analysis of animal behaviors. ICIP 2010: 1513-1516 - [c82]Jiang Xu, Ying Wu, Aggelos K. Katsaggelos:
Part-based initialization for hand tracking. ICIP 2010: 3257-3260 - [c81]Philip Greggory Lee, Ying Wu:
L1 matting. ICIP 2010: 4665-4668 - [c80]Jiang Xu, Junsong Yuan, Ying Wu:
Bipolar grouping. ICME 2010: 54-59 - [c79]Jingjing Meng, Junsong Yuan, Yuning Jiang, Nitya Narasimhan, Venu Vasudevan, Ying Wu:
Interactive visual object search through mutual information maximization. ACM Multimedia 2010: 1147-1150
2000 – 2009
- 2009
- [j19]Ming Yang, Ying Wu, Gang Hua:
Context-Aware Visual Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 31(7): 1195-1209 (2009) - [j18]Fan Jiang, Ying Wu, Aggelos K. Katsaggelos:
A Dynamic Hierarchical Clustering Method for Trajectory-Based Unusual Video Event Detection. IEEE Trans. Image Process. 18(4): 907-913 (2009) - [j17]Shengyang Dai, Mei Han, Wei Xu, Ying Wu, Yihong Gong, Aggelos K. Katsaggelos:
SoftCuts: A Soft Edge Smoothness Prior for Color Image Super-Resolution. IEEE Trans. Image Process. 18(5): 969-981 (2009) - [j16]Ming Yang, Zhimin Fan, Jialue Fan, Ying Wu:
Tracking Nonstationary Visual Appearances by Data-Driven Adaptation. IEEE Trans. Image Process. 18(7): 1633-1644 (2009) - [c78]Ying Wu, Jialue Fan:
Contextual flow. CVPR 2009: 33-40 - [c77]Junsong Yuan, Zicheng Liu, Ying Wu:
Discriminative subvolume search for efficient action detection. CVPR 2009: 2442-2449 - [c76]Shengyang Dai, Ying Wu:
Removing partial blur in a single image. CVPR 2009: 2544-2551 - [c75]Jiang Xu, Junsong Yuan, Ying Wu:
Multimodal partial estimates fusion. ICCV 2009: 2177-2184 - [c74]Fan Jiang, Ying Wu, Aggelos K. Katsaggelos:
Detecting contextual anomalies of crowd motion in surveillance video. ICIP 2009: 1117-1120 - [c73]Hongbo Jiang, Wenping Liu, Dan Wang, Chen Tian, Xiang Bai, Xue Liu, Ying Wu, Wenyu Liu:
CASE: Connectivity-Based Skeleton Extraction in Wireless Sensor Networks. INFOCOM 2009: 2916-2920 - [c72]Junsong Yuan, Zicheng Liu, Ying Wu, Zhengyou Zhang:
Speeding up spatio-temporal sliding-window search for efficient event detection in crowded videos. EIMM@MM 2009: 3-8 - [p1]Zhu Li, Yun Fu, Junsong Yuan, Ying Wu, Aggelos K. Katsaggelos, Thomas S. Huang:
Multimedia Data Indexing. Semantic Mining Technologies for Multimedia Databases 2009: 449-475 - 2008
- [j15]Junsong Yuan, Jingjing Meng, Ying Wu, Jiebo Luo:
Mining Recurring Events Through Forest Growing. IEEE Trans. Circuits Syst. Video Technol. 18(11): 1597-1607 (2008) - [j14]Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. Huang:
Locality Versus Globality: Query-Driven Localized Linear Models for Facial Image Computing. IEEE Trans. Circuits Syst. Video Technol. 18(12): 1741-1752 (2008) - [c71]Shengyang Dai, Ying Wu:
Motion from blur. CVPR 2008 - [c70]Ming Yang, Qiong Liu, Thea Turner, Ying Wu:
Vital sign estimation from passive thermal video. CVPR 2008 - [c69]Ming Yang, Ying Wu:
Granularity and elasticity adaptation in visual tracking. CVPR 2008 - [c68]Ting Yu, Ying Wu, Nils Krahnstoever, Peter H. Tu:
Distributed data association and filtering for multiple target tracking. CVPR 2008 - [c67]Junsong Yuan, Jiebo Luo, Ying Wu:
Mining compositional features for boosting. CVPR 2008 - [c66]Junsong Yuan, Ying Wu:
Context-aware clustering. CVPR 2008 - [c65]Jingjing Meng, Junsong Yuan, Mat Hans, Ying Wu:
Mining Motifs from Human Motion. Eurographics (Short Papers) 2008: 71-74 - [c64]Yan Gao, Ming Yang, Xiaonan Zhao, Bryan Pardo, Ying Wu, Thrasyvoulos N. Pappas, Alok N. Choudhary:
Image spam hunter. ICASSP 2008: 1765-1768 - [c63]Fan Jiang, Ying Wu, Aggelos K. Katsaggelos:
Abnormal event detection based on trajectory clustering by 2-depth greedy search. ICASSP 2008: 2129-2132 - [c62]Shengyang Dai, Ying Wu:
Estimating space-variant motion blur without deblurring. ICIP 2008: 661-664 - [c61]Jialue Fan, Ming Yang, Ying Wu:
A bi-subspace model for robust visual tracking. ICIP 2008: 2660-2663 - [c60]Junsong Yuan, Jiebo Luo, Henry A. Kautz, Ying Wu:
Mining GPS traces and visual words for event classification. Multimedia Information Retrieval 2008: 2-9 - 2007
- [j13]Gang Hua, Ying Wu:
A decentralized probabilistic approach to articulated body tracking. Comput. Vis. Image Underst. 108(3): 272-283 (2007) - [j12]Francesco G. B. De Natale, Aggelos K. Katsaggelos, Oscar Mayora, Ying Wu:
Signal Processing Technologies for Ambient Intelligence in Home-Care Applications. EURASIP J. Adv. Signal Process. 2007 (2007) - [j11]Zhimin Fan, Ming Yang, Ying Wu:
Multiple Collaborative Kernel Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 29(7): 1268-1273 (2007) - [c59]Shengyang Dai, Mei Han, Wei Xu, Ying Wu, Yihong Gong:
Soft Edge Smoothness Prior for Alpha Channel Super Resolution. CVPR 2007 - [c58]Shengyang Dai, Ming Yang, Ying Wu, Aggelos K. Katsaggelos:
Detector Ensemble. CVPR 2007 - [c57]Ming Yang, Junsong Yuan, Ying Wu:
Spatial selection for attentional visual tracking. CVPR 2007 - [c56]Junsong Yuan, Ying Wu, Ming Yang:
Discovery of Collocation Patterns: from Visual Words to Visual Phrases. CVPR 2007 - [c55]Ming Yang, Senthil Periaswamy, Ying Wu:
False Positive Reduction in Lung GGO Nodule Detection with 3D Volume Shape Descriptor. ICASSP (1) 2007: 437-440 - [c54]Ming Yang, Ting Yu, Ying Wu:
Game-Theoretic Multiple Target Tracking. ICCV 2007: 1-8 - [c53]Junsong Yuan, Ying Wu:
Spatial Random Partition for Common Visual Pattern Discovery. ICCV 2007: 1-8 - [c52]Yun Fu, Junsong Yuan, Zhu Li, Thomas S. Huang, Ying Wu:
Query-Driven Locally Adaptive Fisher Faces and Expert-Model for Face Recognition. ICIP (1) 2007: 141-144 - [c51]Fan Jiang, Ying Wu, Aggelos K. Katsaggelos:
Abnormal Event Detection from Surveillance Video by Dynamic Hierarchical Clustering. ICIP (5) 2007: 145-148 - [c50]Junsong Yuan, Zhu Li, Yun Fu, Ying Wu, Thomas S. Huang:
Common Spatial Pattern Discovery by Efficient Candidate Pruning. ICIP (1) 2007: 165-168 - [c49]Ming Yang, Ying Wu, Shihong Lao:
Mining Auxiliary Objects for Tracking by Multibody Grouping. ICIP (3) 2007: 361-364 - [c48]Shengyang Dai, Mei Han, Ying Wu, Yihong Gong:
Bilateral Back-Projection for Single Image Super Resolution. ICME 2007: 1039-1042 - [c47]Zhu Li, Yun Fu, Junsong Yuan, Thomas S. Huang, Ying Wu:
Query Driven Localized Linear Discriminant Models for Head Pose Estimation. ICME 2007: 1810-1813 - [c46]Junsong Yuan, Ying Wu, Ming Yang:
From frequent itemsets to semantically meaningful visual patterns. KDD 2007: 864-873 - [c45]Junsong Yuan, Wei Wang, Jingjing Meng, Ying Wu, Dongge Li:
Mining repetitive clips through finding continuous paths. ACM Multimedia 2007: 289-292 - 2006
- [j10]Gang Hua, Ying Wu:
Sequential mean field variational analysis of structured deformable shapes. Comput. Vis. Image Underst. 101(2): 87-99 (2006) - [j9]Zhimin Fan, Jie Zhou, Ying Wu:
Multibody Grouping by Inference of Multiple Subspaces from High-Dimensional Data Using Oriented-Frames. IEEE Trans. Pattern Anal. Mach. Intell. 28(1): 91-105 (2006) - [j8]Ying Wu, Ting Yu:
A Field Model for Human Detection and Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 28(5): 753-765 (2006) - [j7]Gang Hua, Zicheng Liu, Zhengyou Zhang, Ying Wu:
Iterative Local-Global Energy Minimization for Automatic Extraction of Objects of Interest. IEEE Trans. Pattern Anal. Mach. Intell. 28(10): 1701-1706 (2006) - [c44]Gang Hua, Ying Wu:
Measurement integration under inconsistency for robust tracking. CVPR (1) 2006: 650-657 - [c43]Zhimin Fan, Ming Yang, Ying Wu, Gang Hua, Ting Yu:
Efficient Optimal Kernel Placement for Reliable Visual Tracking. CVPR (1) 2006: 658-665 - [c42]Ming Yang, Ying Wu, Shihong Lao:
Intelligent Collaborative Tracking by Mining Auxiliary Objects. CVPR (1) 2006: 697-704 - [c41]Ting Yu, Ying Wu:
Differential Tracking based on Spatial-Appearance Model (SAM). CVPR (1) 2006: 720-727 - [c40]Gang Hua, Zicheng Liu, Zhengyou Zhang, Ying Wu:
Automatic Business Card Scanning with a Camera. ICIP 2006: 373-376 - [c39]Shengyang Dai, Ming Yang, Ying Wu, Aggelos K. Katsaggelos:
Tracking Motion-Blurred Targets in Video. ICIP 2006: 2389-2392 - [c38]Ming Yang, Ying Wu, Jim E. Crenshaw, Bruce Augustine, Russell Mareachen:
Face detection for automatic exposure control in handheld camera. ICVS 2006: 17 - 2005
- [j6]Gang Hua, Ying Wu:
Variational Maximum A Posteriori by Annealed Mean Field Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 27(11): 1747-1761 (2005) - [j5]Ying Wu, John Lin, Thomas S. Huang:
Analyzing and Capturing Articulated Hand Motion in Image Sequences. IEEE Trans. Pattern Anal. Mach. Intell. 27(12): 1910-1922 (2005) - [j4]Qi Tian, Ying Wu, Jie Yu, Thomas S. Huang:
Self-supervised learning based on discriminative nonlinear features for image classification. Pattern Recognit. 38(6): 903-917 (2005) - [c37]Zhimin Fan, Ying Wu, Ming Yang:
Multiple Collaborative Kernel Tracking. CVPR (2) 2005: 502-509 - [c36]Gang Hua, Ming-Hsuan Yang, Ying Wu:
Learning to Estimate Human Pose with Data Driven Belief Propagation. CVPR (2) 2005: 747-754 - [c35]Ting Yu, Ying Wu:
Decentralized Multiple Target Tracking Using Netted Collaborative Autonomous Trackers. CVPR (1) 2005: 939-946 - [c34]Ying Wu, Ting Yu, Gang Hua:
A Statistical Field Model for Pedestrian Detection. CVPR (1) 2005: 1023-1030 - [c33]Ming Yang, Ying Wu:
Tracking Non-Stationary Appearances and Dynamic Feature Selection. CVPR (2) 2005: 1059-1066 - [c32]Ting Yu, Ying Wu:
Collaborative visual tracking of multiple identical targets. Storage and Retrieval Methods and Applications for Multimedia 2005: 137-149 - 2004
- [j3]Ying Wu, Thomas S. Huang:
Robust Visual Tracking by Integrating Multiple Cues Based on Co-Inference Learning. Int. J. Comput. Vis. 58(1): 55-71 (2004) - [c31]Zhimin Fan, Jie Zhou, Ying Wu:
Inference of Multiple Subspaces from High-Dimensional Data and Application to Multibody Grouping. CVPR (2) 2004: 661-666 - [c30]Zhimin Fan, Jie Zhou, Ying Wu:
Multibody Motion Segmentation Based on Simulated Annealing. CVPR (1) 2004: 776-781 - [c29]Gang Hua, Ying Wu:
Multi-Scale Visual Tracking by Sequential Belief Propagation. CVPR (1) 2004: 826-833 - [c28]Ting Yu, Ying Wu:
Collaborative Tracking of Multiple Targets. CVPR (1) 2004: 834-841 - [c27]John Y. Lin, Ying Wu, Thomas S. Huang:
3D Model-Based Hand Tracking Using Stochastic Direct Search Method. FGR 2004: 693-698 - [c26]Qi Tian, Jie Yu, Ying Wu, Thomas S. Huang:
Learning based on kernel discriminant-EM algorithm for image classification. ICASSP (5) 2004: 461-464 - [c25]John Lin, Ying Wu, Thomas S. Huang:
Articulate Hand Motion Capturing Based on a Monte Carlo Nelder-Mead Simplex Tracker. ICPR (4) 2004: 975-978 - 2003
- [c24]Ying Wu, Gang Hua, Ting Yu:
Switching Observation Models for Contour Tracking in Clutter. CVPR (1) 2003: 295-304 - [c23]Ying Wu, Ting Yu, Gang Hua:
Tracking Appearances with Occlusions. CVPR (1) 2003: 789-795 - [c22]Ying Wu, Gang Hua, Ting Yu:
Tracking Articulated Body by Dynamic Markov Network. ICCV 2003: 1094-1101 - 2002
- [j2]Ying Wu, Thomas S. Huang:
Nonstationary color tracking for vision-based human-computer interaction. IEEE Trans. Neural Networks 13(4): 948-960 (2002) - [c21]Thomas S. Huang, Ying Wu, John Lin:
3D model-based visual hand tracking. ICME (1) 2002: 905-908 - 2001
- [j1]Ying Wu, Thomas S. Huang:
Hand modeling, analysis and recognition. IEEE Signal Process. Mag. 18(3): 51-60 (2001) - [c20]Ying Wu, Zhengyou Zhang, Thomas S. Huang, John Y. Lin:
Multibody Grouping via Orthogonal Subspace Decomposition. CVPR (2) 2001: 252-257 - [c19]Ying Wu, Thomas S. Huang:
A Co-inference Approach to Robust Visual Tracking. ICCV 2001: 26-33 - [c18]Ying Wu, Thomas S. Huang, Kentaro Toyama:
Self-Supervised Learning for Object Recognition based on Kernel Discriminant-EM Algorithm. ICCV 2001: 275-280 - [c17]Ying Wu, John Y. Lin, Thomas S. Huang:
Capturing Natural Hand Articulation. ICCV 2001: 426-432 - [c16]Qiong Liu, Thomas S. Huang, Ying Wu, Stephen E. Levinson:
Spoken Language Acquisition Via Human-Robot Interaction. ICME 2001 - [c15]Ying Wu, Thomas S. Huang:
Towards Self-Exploring Discriminating Features. MLDM 2001: 263-277 - [c14]Zhengyou Zhang, Ying Wu, Ying Shan, Steven Shafer:
Visual panel: virtual mouse, keyboard and 3D controller with an ordinary piece of paper. PUI 2001: 3:1-3:8 - 2000
- [c13]Ying Wu, Thomas S. Huang:
Self-Supervised Learning for Visual Tracking and Recognition of Human Hand. AAAI/IAAI 2000: 243-248 - [c12]Ying Wu, Thomas S. Huang:
Color Tracking by Transductive Learning. CVPR 2000: 1133-1138 - [c11]Ying Wu, Qi Tian, Thomas S. Huang:
Discriminant-EM Algorithm with Application to Image Retrieval. CVPR 2000: 1222-1227 - [c10]Ying Wu, Thomas S. Huang:
View-Independent Recognition of Hand Postures. CVPR 2000: 2088-2094 - [c9]Kentaro Toyama, Ying Wu:
Bootstrap Initialization of Nonparametric Texture Models for Tracking. ECCV (2) 2000: 119-133 - [c8]Ying Wu, Kentaro Toyama:
Wide-Range, Person- and Illumination-Insensitive Head Orientation Estimation. FG 2000: 183-188 - [c7]John Y. Lin, Ying Wu, Thomas S. Huang:
Modeling the Constraints of Human Hand Motion. Workshop on Human Motion 2000: 121-126 - [c6]Qi Tian, Ying Wu, Thomas S. Huang:
Combine User Defined Region-of-Interest and Spatial Layout for Image Retrieval. ICIP 2000: 746-749 - [c5]Qi Tian, Ying Wu, Thomas S. Huang:
Incorporate Discriminant Analysis with EM Algorithm in Image Retrieval. IEEE International Conference on Multimedia and Expo (I) 2000: 299-302 - [c4]Ying Wu, Qi Tian, Thomas S. Huang:
Integrating Unlabeled Images for Image Retrieval Based on Relevance Feedback. ICPR 2000: 1021-1024
1990 – 1999
- 1999
- [c3]Ying Wu, Thomas S. Huang:
Vision-Based Gesture Recognition: A Review. Gesture Workshop 1999: 103-115 - [c2]Ying Wu, Thomas S. Huang:
Capturing Articulated Human Hand Motion: A Divide-and-Conquer Approach. ICCV 1999: 606-611 - [c1]Ying Wu, Thomas S. Huang:
Human Hand Modeling, Analysis, and Animation in the Context of HCI. ICIP (3) 1999: 6-10
Coauthor Index
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