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 | 2013 | |
|---|---|---|
| j27 |      | Wei-Shi Zheng, Shaogang Gong, Tao Xiang: Reidentification by Relative Distance Comparison. IEEE Trans. Pattern Anal. Mach. Intell. 35(3): 653-668 (2013) |
| j26 | | Fei Chen, Kwok-Wo Wong, Xiaofeng Liao, Tao Xiang: Period Distribution of the Generalized Discrete Arnold Cat Map for $N = 2^{e}$. IEEE Transactions on Information Theory 59(5): 3249-3255 (2013) |
| j25 | | Timothy M. Hospedales, Shaogang Gong, Tao Xiang: Finding Rare Classes: Active Learning with Generative and Discriminative Models. IEEE Trans. Knowl. Data Eng. 25(2): 374-386 (2013) |
| 2012 | ||
| j24 | | Jian Li, Shaogang Gong, Tao Xiang: Learning Behavioural Context. International Journal of Computer Vision 97(3): 276-304 (2012) |
| j23 | | Timothy M. Hospedales, Shaogang Gong, Tao Xiang: Video Behaviour Mining Using a Dynamic Topic Model. International Journal of Computer Vision 98(3): 303-323 (2012) |
| j22 | | Wei-Shi Zheng, Shaogang Gong, Tao Xiang: Quantifying and Transferring Contextual Information in Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 34(4): 762-777 (2012) |
| j21 | | Chen Change Loy, Tao Xiang, Shaogang Gong: Incremental Activity Modeling in Multiple Disjoint Cameras. IEEE Trans. Pattern Anal. Mach. Intell. 34(9): 1799-1813 (2012) |
| j20 | | Matteo Bregonzio, Tao Xiang, Shaogang Gong: Fusing appearance and distribution information of interest points for action recognition. Pattern Recognition 45(3): 1220-1234 (2012) |
| j19 | | Fei Chen, Kwok-Wo Wong, Xiaofeng Liao, Tao Xiang: Period Distribution of Generalized Discrete Arnold Cat Map for N=pe. IEEE Transactions on Information Theory 58(1): 445-452 (2012) |
| c54 | | Chen Change Loy, Timothy M. Hospedales, Tao Xiang, Shaogang Gong: Stream-based joint exploration-exploitation active learning. CVPR 2012: 1560-1567 |
| c53 | | Wei-Shi Zheng, Shaogang Gong, Tao Xiang: Transfer re-identification: From person to set-based verification. CVPR 2012: 2650-2657 |
| c52 | | |
| c51 | | |
| c50 | | Timothy M. Hospedales, Shaogang Gong, Tao Xiang: A Unifying Theory of Active Discovery and Learning. ECCV (5) 2012: 453-466 |
| c49 | | Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong: Attribute Learning for Understanding Unstructured Social Activity. ECCV (4) 2012: 530-543 |
| c48 | | Parthipan Siva, Chris Russell, Tao Xiang: In Defence of Negative Mining for Annotating Weakly Labelled Data. ECCV (3) 2012: 594-608 |
| c47 | | Junwei Huang, Zhen Ling, Tao Xiang, Jie Wang, Xinwen Fu: When Digital Forensic Research Meets Laws. ICDCS Workshops 2012: 542-551 |
| 2011 | ||
| j18 | | Fei Chen, Xiaofeng Liao, Tao Xiang, Hongying Zheng: Security analysis of the public key algorithm based on Chebyshev polynomials over the integer ring ZN. Inf. Sci. 181(22): 5110-5118 (2011) |
| j17 | | Timothy M. Hospedales, Jian Li, Shaogang Gong, Tao Xiang: Identifying Rare and Subtle Behaviors: A Weakly Supervised Joint Topic Model. IEEE Trans. Pattern Anal. Mach. Intell. 33(12): 2451-2464 (2011) |
| j16 | | Chen Change Loy, Tao Xiang, Shaogang Gong: Detecting and discriminating behavioural anomalies. Pattern Recognition 44(1): 117-132 (2011) |
| p1 | | Shaogang Gong, Chen Change Loy, Tao Xiang: Security and Surveillance. Visual Analysis of Humans 2011: 455-472 |
| c46 | | Tom S. F. Haines, Tao Xiang: Active Learning using Dirichlet Processes for Rare Class Discovery and Classification. BMVC 2011: 1-11 |
| c45 | | |
| c44 | | Wei-Shi Zheng, Shaogang Gong, Tao Xiang: Person re-identification by probabilistic relative distance comparison. CVPR 2011: 649-656 |
| c43 | | Parthipan Siva, Tao Xiang: Weakly supervised object detector learning with model drift detection. ICCV 2011: 343-350 |
| c42 | | Tom S. F. Haines, Tao Xiang: Delta-Dual Hierarchical Dirichlet Processes: A pragmatic abnormal behaviour detector. ICCV 2011: 2198-2205 |
| c41 | | Ke Chen, Shaogang Gong, Tao Xiang: Human pose estimation using structural support vector machines. ICCV Workshops 2011: 846-851 |
| c40 | | Timothy M. Hospedales, Shaogang Gong, Tao Xiang: Learning Tags from Unsegmented Videos of Multiple Human Actions. ICDM 2011: 251-259 |
| c39 | | Timothy M. Hospedales, Shaogang Gong, Tao Xiang: Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning. PAKDD (2) 2011: 296-308 |
| 2010 | ||
| j15 | | Chen Change Loy, Tao Xiang, Shaogang Gong: Time-Delayed Correlation Analysis for Multi-Camera Activity Understanding. International Journal of Computer Vision 90(1): 106-129 (2010) |
| j14 | | Khalid Bashir, Tao Xiang, Shaogang Gong: Gait recognition without subject cooperation. Pattern Recognition Letters 31(13): 2052-2060 (2010) |
| c38 | | Chen Change Loy, Tao Xiang, Shaogang Gong: Stream-Based Active Unusual Event Detection. ACCV (1) 2010: 161-175 |
| c37 | | Jian Li, Timothy M. Hospedales, Shaogang Gong, Tao Xiang: Learning Rare Behaviours. ACCV (2) 2010: 293-307 |
| c36 | | Wei-Shi Zheng, Shaogang Gong, Tao Xiang: Unsupervised Selective Transfer Learning for Object Recognition. ACCV (2) 2010: 527-541 |
| c35 | | Khalid Bashir, Tao Xiang, Shaogang Gong: Cross View Gait Recognition Using Correlation Strength. BMVC 2010: 1-11 |
| c34 | | Matteo Bregonzio, Jian Li, Shaogang Gong, Tao Xiang: Discriminative Topics Modelling for Action Feature Selection and Recognition. BMVC 2010: 1-11 |
| c33 | | Bryan Prosser, Wei-Shi Zheng, Shaogang Gong, Tao Xiang: Person Re-Identification by Support Vector Ranking. BMVC 2010: 1-11 |
| c32 | | |
| 2009 | ||
| c31 | | |
| c30 | | Chen Change Loy, Tao Xiang, Shaogang Gong: Modelling Multi-object Activity by Gaussian Processes. BMVC 2009: 1-11 |
| c29 | | Javier Orozco, Shaogang Gong, Tao Xiang: Head Pose Classification in Crowded Scenes. BMVC 2009: 1-11 |
| c28 | | Emanuel Zelniker, Timothy M. Hospedales, Shaogang Gong, Tao Xiang: A Unified Bayesian Framework for Adaptive Visual Tracking. BMVC 2009: 1-11 |
| c27 | | |
| c26 | | Matteo Bregonzio, Shaogang Gong, Tao Xiang: Recognising action as clouds of space-time interest points. CVPR 2009: 1948-1955 |
| c25 | | Chen Change Loy, Tao Xiang, Shaogang Gong: Multi-camera activity correlation analysis. CVPR 2009: 1988-1995 |
| c24 | | Chen Change Loy, Tao Xiang, Shaogang Gong: Modelling activity global temporal dependencies using Time Delayed Probabilistic Graphical Model. ICCV 2009: 120-127 |
| c23 | | Wei-Shi Zheng, Shaogang Gong, Tao Xiang: Quantifying contextual information for object detection. ICCV 2009: 932-939 |
| c22 | | Timothy M. Hospedales, Shaogang Gong, Tao Xiang: A Markov Clustering Topic Model for mining behaviour in video. ICCV 2009: 1165-1172 |
| 2008 | ||
| j13 | | Tao Xiang, Shaogang Gong: Incremental and adaptive abnormal behaviour detection. Computer Vision and Image Understanding 111(1): 59-73 (2008) |
| j12 | | Tao Xiang, Shaogang Gong: Optimising dynamic graphical models for video content analysis. Computer Vision and Image Understanding 112(3): 310-323 (2008) |
| j11 | | Tao Xiang, Kwok-Wo Wong, Xiaofeng Liao: Cryptanalysis of a password authentication scheme over insecure networks. J. Comput. Syst. Sci. 74(5): 657-661 (2008) |
| j10 | | Tao Xiang, Shaogang Gong: Video Behavior Profiling for Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. 30(5): 893-908 (2008) |
| j9 | | Tao Xiang, Shaogang Gong: Spectral clustering with eigenvector selection. Pattern Recognition 41(3): 1012-1029 (2008) |
| j8 | | Tao Xiang, Shaogang Gong: Activity based surveillance video content modelling. Pattern Recognition 41(7): 2309-2326 (2008) |
| c21 | | Khalid Bashir, Tao Xiang, Shaogang Gong: Feature Selection for Gait Recognition without Subject Cooperation. BMVC 2008: 1-10 |
| c20 | | Jian Li, Shaogang Gong, Tao Xiang: Global Behaviour Inference using Probabilistic Latent Semantic Analysis. BMVC 2008: 1-10 |
| c19 | | Bryan Prosser, Shaogang Gong, Tao Xiang: Multi-camera Matching using Bi-Directional Cumulative Brightness Transfer Functions. BMVC 2008: 1-10 |
| c18 | | Jian Li, Shaogang Gong, Tao Xiang: Scene Segmentation for Behaviour Correlation. ECCV (4) 2008: 383-395 |
| c17 | | Khalid Bashir, Tao Xiang, Shaogang Gong: Feature selection on Gait Energy Image for human identification. ICASSP 2008: 985-988 |
| 2007 | ||
| j7 | | Tao Xiang, Kwok-Wo Wong, Xiaofeng Liao: A novel particle swarm optimizer with time-delay. Applied Mathematics and Computation 186(1): 789-793 (2007) |
| j6 | | Tao Xiang, Xiaofeng Liao, Kwok-Wo Wong: An improved particle swarm optimization algorithm combined with piecewise linear chaotic map. Applied Mathematics and Computation 190(2): 1637-1645 (2007) |
| c16 | | Tao Xiang, Jun Wang, Xiaofeng Liao: An improved particle swarm optimizer with momentum. IEEE Congress on Evolutionary Computation 2007: 3341-3345 |
| c15 | | Shaogang Gong, Caifeng Shan, Tao Xiang: Visual inference of human emotion and behaviour. ICMI 2007: 22-29 |
| 2006 | ||
| j5 | | Tao Xiang, Shaogang Gong: Beyond Tracking: Modelling Activity and Understanding Behaviour. International Journal of Computer Vision 67(1): 21-51 (2006) |
| j4 | | Tao Xiang, Shaogang Gong: Model Selection for Unsupervised Learning of Visual Context. International Journal of Computer Vision 69(2): 181-201 (2006) |
| c14 | | |
| 2005 | ||
| c13 | | Tao Xiang, Shaogang Gong: Relevance learning for spectral clustering with applications on image segmentation and video behaviour profiling. AVSS 2005: 28-33 |
| c12 | | Tao Xiang, Shaogang Gong: Online Video Behaviour Abnormality Detection Using Reliability Measure. BMVC 2005 |
| c11 | | Tao Xiang, Shaogang Gong: Visual Learning Given Sparse Data of Unknown Complexity. ICCV 2005: 701-708 |
| c10 | | Tao Xiang, Shaogang Gong: Video Behaviour Profiling and Abnormality Detection without Manual Labelling. ICCV 2005: 1238-1245 |
| c9 | | Tao Xiang, Xiaofeng Liao, Jian Huang: Global Attractivity of Cohen-Grossberg Model with Delays. ISNN (1) 2005: 229-234 |
| 2004 | ||
| j3 | | Tao Xiang, Loong Fah Cheong: On the distortion of shape recovery from motion. Image Vision Comput. 22(10): 807-817 (2004) |
| c8 | | Tao Xiang, Shaogang Gong: Activity Based Video Content Trajectory Representation and Segmentation. BMVC 2004: 1-10 |
| c7 | | Xueming Li, Xiaofeng Liao, Tao Xiang: Further Results for an Estimation of Upperbound of Delays for Delayed Neural Networks. ISNN (1) 2004: 132-137 |
| 2003 | ||
| j2 | | Tao Xiang, Loong Fah Cheong: Understanding the Behavior of SFM Algorithms: A Geometric Approach. International Journal of Computer Vision 51(2): 111-137 (2003) |
| c6 | | Tao Xiang, Shaogang Gong: Discovering Bayesian Causality among Visual Events in a Complex Outdoor Scene. AVSS 2003: 177-182 |
| c5 | | Tao Xiang, Shaogang Gong, Dennis Parkinson: Outdoor Activity Recognition using Multi-Linked Temporal Processes. BMVC 2003: 1-10 |
| c4 | | Tao Xiang, Loong Fah Cheong: Error Analysis of 3-D Motion Estimation Algorithms in the Differential Case. CVPR (1) 2003: 369-374 |
| c3 | | Shaogang Gong, Tao Xiang: Recognition of Group Activities using Dynamic Probabilistic Networks. ICCV 2003: 742-749 |
| 2002 | ||
| c2 | | |
| c1 | | Tao Xiang, Shaogang Gong, Dennis Parkinson: Autonomous Visual Events Detection and Classification without Explicit Object-Centred Segmentation and Tracking. BMVC 2002: 1-10 |
| 2001 | ||
| j1 | | Loong Fah Cheong, Tao Xiang: Characterizing Depth Distortion under Different Generic Motions. International Journal of Computer Vision 44(3): 199-217 (2001) |
Colors in the list of coauthors
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