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 | 2013 | |
|---|---|---|
| j16 |      | Xi Li, Anthony R. Dick, Chunhua Shen, Anton van den Hengel, Hanzi Wang: Incremental Learning of 3D-DCT Compact Representations for Robust Visual Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 35(4): 863-881 (2013) |
| j15 | | Fumin Shen, Chunhua Shen, Anton van den Hengel, Zhenmin Tang: Approximate Least Trimmed Sum of Squares Fitting and Applications in Image Analysis. IEEE Transactions on Image Processing 22(5): 1836-1847 (2013) |
| i31 | | Chunhua Shen, Peng Wang, Sakrapee Paisitkriangkrai, Anton van den Hengel: Training Effective Node Classifiers for Cascade Classification. CoRR abs/1301.2032 (2013) |
| i30 | | Sakrapee Paisitkriangkrai, Chunhua Shen, Qinfeng Shi, Anton van den Hengel: RandomBoost: Simplified Multi-class Boosting through Randomization. CoRR abs/1302.0963 (2013) |
| i29 | | Chunhua Shen, Junae Kim, Fayao Liu, Lei Wang, Anton van den Hengel: An Efficient Dual Approach to Distance Metric Learning. CoRR abs/1302.3219 (2013) |
| i28 | | Chunhua Shen, Guosheng Lin, Anton van den Hengel: StructBoost: Boosting Methods for Predicting Structured Output Variables. CoRR abs/1302.3283 (2013) |
| i27 | | Xi Li, Guosheng Lin, Chunhua Shen, Anton van den Hengel, Anthony R. Dick: Learning Hash Functions Using Column Generation. CoRR abs/1303.0339 (2013) |
| i26 | | Xi Li, Weiming Hu, Chunhua Shen, Zhongfei Zhang, Anthony R. Dick, Anton van den Hengel: A Survey of Appearance Models in Visual Object Tracking. CoRR abs/1303.4803 (2013) |
| i25 | | Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel: Asymmetric Pruning for Learning Cascade Detectors. CoRR abs/1303.6066 (2013) |
| i24 | | Fumin Shen, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, Zhenmin Tang: Inductive Hashing on Manifolds. CoRR abs/1303.7043 (2013) |
| i23 | | Peng Wang, Chunhua Shen, Anton van den Hengel: A Fast Semidefinite Approach to Solving Binary Quadratic Problems. CoRR abs/1304.0840 (2013) |
| i22 | | Fumin Shen, Chunhua Shen, Rhys Hill, Anton van den Hengel, Zhenmin Tang: Fast Approximate L_infty Minimization: Speeding Up Robust Regression. CoRR abs/1304.1250 (2013) |
| 2012 | ||
| j14 | | Chunhua Shen, Peng Wang, Fumin Shen, Hanzi Wang: UBoost: Boosting with the Universum. IEEE Trans. Pattern Anal. Mach. Intell. 34(4): 825-832 (2012) |
| j13 | | Peng Wang, Chunhua Shen, Nick Barnes, Hong Zheng: Fast and Robust Object Detection Using Asymmetric Totally Corrective Boosting. IEEE Trans. Neural Netw. Learning Syst. 23(1): 33-46 (2012) |
| c56 | | Guosheng Lin, Chunhua Shen, Anton van den Hengel, David Suter: Fast Training of Effective Multi-class Boosting Using Coordinate Descent Optimization. ACCV (2) 2012: 782-795 |
| c55 | | Xi Li, Chunhua Shen, Qinfeng Shi, Anthony R. Dick, Anton van den Hengel: Non-sparse linear representations for visual tracking with online reservoir metric learning. CVPR 2012: 1760-1767 |
| c54 | | Sakrapee Paisitkriangkrai, Chunhua Shen, Anton van den Hengel: Sharing features in multi-class boosting via group sparsity. CVPR 2012: 2128-2135 |
| c53 | | Rui Yao, Qinfeng Shi, Chunhua Shen, Yanning Zhang, Anton van den Hengel: Robust Tracking with Weighted Online Structured Learning. ECCV (3) 2012: 158-172 |
| c52 | | Qinfeng Shi, Chunhua Shen, Rhys Hill, Anton van den Hengel: Is margin preserved after random projection?. ICML 2012 |
| i21 | | Xi Li, Chunhua Shen, Qinfeng Shi, Anthony R. Dick, Anton van den Hengel: Non-sparse Linear Representations for Visual Tracking with Online Reservoir Metric Learning. CoRR abs/1204.2912 (2012) |
| i20 | | Qinfeng Shi, Chunhua Shen, Rhys Hill, Anton van den Hengel: Is margin preserved after random projection? CoRR abs/1206.4651 (2012) |
| i19 | | Xi Li, Anthony R. Dick, Chunhua Shen, Anton van den Hengel, Hanzi Wang: Incremental Learning of 3D-DCT Compact Representations for Robust Visual Tracking. CoRR abs/1207.3389 (2012) |
| i18 | | Chunhua Shen, Sakrapee Paisitkriangkrai, Anton van den Hengel: A Direct Approach to Multi-class Boosting and Extensions. CoRR abs/1210.4601 (2012) |
| 2011 | ||
| j12 | | Chunhua Shen, Sakrapee Paisitkriangkrai, Jian Zhang: Efficiently Learning a Detection Cascade With Sparse Eigenvectors. IEEE Transactions on Image Processing 20(1): 22-35 (2011) |
| j11 | | Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhang: Incremental Training of a Detector Using Online Sparse Eigendecomposition. IEEE Transactions on Image Processing 20(1): 213-226 (2011) |
| c51 | | Kyoungup Park, Chunhua Shen, Zhihui Hao, Junae Kim: Efficiently Learning a Distance Metric for Large Margin Nearest Neighbor Classification. AAAI 2011 |
| c50 | | Qinfeng Shi, Anders Eriksson, Anton van den Hengel, Chunhua Shen: Is face recognition really a Compressive Sensing problem? CVPR 2011: 553-560 |
| c49 | | Hanxi Li, Chunhua Shen, Qinfeng Shi: Real-time visual tracking using compressive sensing. CVPR 2011: 1305-1312 |
| c48 | | Lingqiao Liu, Lei Wang, Chunhua Shen: A generalized probabilistic framework for compact codebook creation. CVPR 2011: 1537-1544 |
| c47 | | Chunhua Shen, Zhihui Hao: A direct formulation for totally-corrective multi-class boosting. CVPR 2011: 2585-2592 |
| c46 | | |
| c45 | | Lei Wang, Chunhua Shen, Richard Hartley: On the Optimality of Sequential Forward Feature Selection Using Class Separability Measure. DICTA 2011: 203-208 |
| c44 | | Tao Wang, Xuming He, Chunhua Shen, Nick Barnes: Laplacian Margin Distribution Boosting for Learning from Sparsely Labeled Data. DICTA 2011: 209-216 |
| c43 | | Xi Li, Anthony R. Dick, Hanzi Wang, Chunhua Shen, Anton van den Hengel: Graph mode-based contextual kernels for robust SVM tracking. ICCV 2011: 1156-1163 |
| i17 | | Chunhua Shen, Junae Kim, Lei Wang, Anton van den Hengel: Positive Semidefinite Metric Learning Using Boosting-like Algorithms. CoRR abs/1104.4704 (2011) |
| i16 | | Hanxi Li, Chunhua Shen, Yongsheng Gao: Face Recognition using Optimal Representation Ensemble. CoRR abs/1110.0264 (2011) |
| 2010 | ||
| j10 | | Hongdong Li, Chunhua Shen: Interactive color image segmentation with linear programming. Mach. Vis. Appl. 21(4): 403-412 (2010) |
| j9 | | Chunhua Shen, Hanxi Li: On the Dual Formulation of Boosting Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 32(12): 2216-2231 (2010) |
| j8 | | Chunhua Shen, Junae Kim, Hanzi Wang: Generalized Kernel-Based Visual Tracking. IEEE Trans. Circuits Syst. Video Techn. 20(1): 119-130 (2010) |
| j7 | | Chunhua Shen, Hanxi Li: Boosting through optimization of margin distributions. IEEE Transactions on Neural Networks 21(4): 659-666 (2010) |
| j6 | | Luping Zhou, Lei Wang, Chunhua Shen: Feature selection with redundancy-constrained class separability. IEEE Transactions on Neural Networks 21(5): 853-858 (2010) |
| j5 | | Chunhua Shen, Junae Kim, Lei Wang: Scalable large-margin Mahalanobis distance metric learning. IEEE Transactions on Neural Networks 21(9): 1524-1530 (2010) |
| c42 | | Peng Wang, Chunhua Shen, Nick Barnes, Hong Zheng, Zhang Ren: Asymmetric Totally-Corrective Boosting for Real-Time Object Detection. ACCV (1) 2010: 176-188 |
| c41 | | Zhihui Hao, Chunhua Shen, Nick Barnes, Bo Wang: Totally-Corrective Multi-class Boosting. ACCV (4) 2010: 269-280 |
| c40 | | Yongbin Zheng, Chunhua Shen, Richard Hartley, Xinsheng Huang: Pyramid Center-Symmetric Local Binary/Trinary Patterns for Effective Pedestrian Detection. ACCV (4) 2010: 281-292 |
| c39 | | Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhang: Face Detection with Effective Feature Extraction. ACCV (3) 2010: 460-470 |
| c38 | | |
| c37 | | Hanxi Li, Peng Wang, Chunhua Shen: Robust Face Recognition via Accurate Face Alignment and Sparse Representation. DICTA 2010: 262-269 |
| c36 | | Chunhua Shen, Peng Wang, Hanxi Li: LACBoost and FisherBoost: Optimally Building Cascade Classifiers. ECCV (2) 2010: 608-621 |
| c35 | | Peng Wang, Chunhua Shen, Hong Zheng, Zhang Ren: Training a multi-exit cascade with linear asymmetric classification for efficient object detection. ICIP 2010: 61-64 |
| c34 | | Weihong Wang, Jian Zhang, Chunhua Shen: Improved human detection and classification in thermal images. ICIP 2010: 2313-2316 |
| c33 |  | Yongbin Zheng, Chunhua Shen, Xinsheng Huang: Pedestrian Detection Using Center-Symmetric Local Binary Patterns. ICIP 2010: 3497-3500 |
| c32 | | Luping Zhou, Lei Wang, Chunhua Shen, Nick Barnes: Hippocampal Shape Classification Using Redundancy Constrained Feature Selection. MICCAI (2) 2010: 266-273 |
| e1 | | Jian Zhang, Chunhua Shen, Glenn Geers (Eds.): International Conference on Digital Image Computing: Techniques and Applications, DICTA 2010, Sydney, Australia, 1-3 December, 2010. IEEE 2010 |
| i15 | | Chunhua Shen, Junae Kim, Lei Wang: Scalable Large-Margin Mahalanobis Distance Metric Learning. CoRR abs/1003.0487 (2010) |
| i14 | | Chunhua Shen, Peng Wang, Hanxi Li: LACBoost and FisherBoost: Optimally Building Cascade Classifiers. CoRR abs/1005.4103 (2010) |
| i13 | | Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhang: Incremental Training of a Detector Using Online Sparse Eigen-decomposition. CoRR abs/1005.4118 (2010) |
| i12 | | Chunhua Shen, Peng Wang, Anton van den Hengel: Optimally Training a Cascade Classifier. CoRR abs/1008.3742 (2010) |
| i11 | | Chunhua Shen, Hanxi Li, Nick Barnes: Totally Corrective Boosting for Regularized Risk Minimization. CoRR abs/1008.5188 (2010) |
| i10 | | Yongbin Zheng, Chunhua Shen, Richard I. Hartley, Xinsheng Huang: Effective Pedestrian Detection Using Center-symmetric Local Binary/Trinary Patterns. CoRR abs/1009.0892 (2010) |
| i9 | | Peng Wang, Chunhua Shen, Nick Barnes, Hong Zheng, Zhang Ren: Asymmetric Totally-corrective Boosting for Real-time Object Detection. CoRR abs/1009.3078 (2010) |
| i8 | | Zhihui Hao, Chunhua Shen, Nick Barnes, Bo Wang: Totally Corrective Multiclass Boosting with Binary Weak Learners. CoRR abs/1009.3702 (2010) |
| i7 | | Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhang: Face Detection with Effective Feature Extraction. CoRR abs/1009.5758 (2010) |
| i6 | | Hanxi Li, Chunhua Shen, Qinfeng Shi: Real-time Visual Tracking Using Sparse Representation. CoRR abs/1012.2603 (2010) |
| 2009 | ||
| c31 | | Peng Wang, Chunhua Shen, Hong Zheng, Zhang Ren: A Variant of the Trace Quotient Formulation for Dimensionality Reduction. ACCV (3) 2009: 277-286 |
| c30 | | Junae Kim, Chunhua Shen, Lei Wang: A Scalable Algorithm for Learning a Mahalanobis Distance Metric. ACCV (3) 2009: 299-310 |
| c29 | | Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhang: Efficiently training a better visual detector with sparse eigenvectors. CVPR 2009: 1129-1136 |
| c28 | | Weihong Wang, Chunhua Shen, Jian Zhang, Sakrapee Paisitkriangkrai: A Two-Layer Night-Time Vehicle Detector. DICTA 2009: 162-167 |
| c27 | | Yuchao Dai, Hongdong Li, Mingyi He, Chunhua Shen: Smooth Approximation of L_infinity-Norm for Multi-view Geometry. DICTA 2009: 339-346 |
| c26 | | Jian Zhang, Sakrapee Paisitkriangkrai, Chunhua Shen: An overview of fast pedestrian detection: Feature selection and cascade framework of boosted features. ICME 2009: 1566-1567 |
| c25 | | Chunhua Shen, Junae Kim, Lei Wang, Anton van den Hengel: Positive Semidefinite Metric Learning with Boosting. NIPS 2009: 1651-1659 |
| i5 | | |
| i4 | | Chunhua Shen, Sakrapee Paisitkriangkrai, Jian Zhang: Efficiently Learning a Detection Cascade with Sparse Eigenvectors. CoRR abs/0903.3103 (2009) |
| i3 | | Chunhua Shen, Hanxi Li: Boosting through Optimization of Margin Distributions. CoRR abs/0904.2037 (2009) |
| i2 | | Chunhua Shen, Junae Kim, Hanzi Wang: Generalized Kernel-based Visual Tracking. CoRR abs/0905.2463 (2009) |
| i1 | | Chunhua Shen, Junae Kim, Lei Wang, Anton van den Hengel: Positive Semidefinite Metric Learning with Boosting. CoRR abs/0910.2279 (2009) |
| 2008 | ||
| j4 | | Chunhua Shen, Hongdong Li, Michael J. Brooks: Supervised dimensionality reduction via sequential semidefinite programming. Pattern Recognition 41(12): 3644-3652 (2008) |
| j3 | | Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhang: Fast Pedestrian Detection Using a Cascade of Boosted Covariance Features. IEEE Trans. Circuits Syst. Video Techn. 18(8): 1140-1151 (2008) |
| c24 | | Yifan Lu, Lei Wang, Richard I. Hartley, Hongdong Li, Chunhua Shen: Multi-view Human Motion Capture with an Improved Deformation Skin Model. DICTA 2008: 420-427 |
| c23 | | Chunhua Shen, Hongdong Li, Michael J. Brooks: Self-Calibrating Cameras Using Semidefinite Programming. DICTA 2008: 436-441 |
| c22 | | |
| c21 | | Junae Kim, Chunhua Shen, Lei Wang: Learning Cascaded Reduced-Set SVMs Using Linear Programming. DICTA 2008: 619-626 |
| c20 | | Lei Wang, Luping Zhou, Chunhua Shen: A Fast Algorithm for Creating a Compact and Discriminative Visual Codebook. ECCV (4) 2008: 719-732 |
| c19 | | Chunhua Shen, Sakrapee Paisitkriangkrai, Jian Zhang: Face detection from few training examples. ICIP 2008: 2764-2767 |
| c18 | | Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhang: An experimental study on pedestrian classification using local features. ISCAS 2008: 2741-2744 |
| c17 | | Chunhua Shen, Alan Welsh, Lei Wang: PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning. NIPS 2008: 1473-1480 |
| 2007 | ||
| j2 | | Hanzi Wang, David Suter, Konrad Schindler, Chunhua Shen: Adaptive Object Tracking Based on an Effective Appearance Filter. IEEE Trans. Pattern Anal. Mach. Intell. 29(9): 1661-1667 (2007) |
| j1 | | Chunhua Shen, Michael J. Brooks, Anton van den Hengel: Fast Global Kernel Density Mode Seeking: Applications to Localization and Tracking. IEEE Transactions on Image Processing 16(5): 1457-1469 (2007) |
| c16 | | Chunhua Shen, Hongdong Li, Michael J. Brooks: A Convex Programming Approach to the Trace Quotient Problem. ACCV (2) 2007: 227-235 |
| c15 | | Quang Anh Nguyen, Antonio Robles-Kelly, Chunhua Shen: Kernel-based Tracking from a Probabilistic Viewpoint. CVPR 2007 |
| c14 | | Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhang: An Experimental Evaluation of Local Features for Pedestrian Classification. DICTA 2007: 53-60 |
| c13 | | Hongdong Li, Chunhua Shen, Zhiying Wen: Color Image Labelling Using Linear Programming. DICTA 2007: 239-244 |
| c12 | | Chunhua Shen, Hongdong Li, Michael J. Brooks: Feature Extraction Using Sequential Semidefinite Programming. DICTA 2007: 430-437 |
| c11 | | |
| 2006 | ||
| c10 | | Quang Anh Nguyen, Antonio Robles-Kelly, Chunhua Shen: Enhanced Kernel-Based Tracking for Monochromatic and Thermographic Video. AVSS 2006: 28 |
| c9 | | Chunhua Shen, Hongdong Li, Michael J. Brooks: Classification-Based Likelihood Functions for Bayesian Tracking. AVSS 2006: 33 |
| c8 | | |
| 2005 | ||
| c7 | | Chunhua Shen, Michael J. Brooks, Anton van den Hengel: Fast Global Kernel Density Mode Seeking with Application to Localisation and Tracking. ICCV 2005: 1516-1523 |
| c6 | | Chunhua Shen, Anton van den Hengel, Michael J. Brooks: Visual tracking via efficient kernel discriminant subspace learning. ICIP (2) 2005: 590-593 |
| c5 | | Chunhua Shen, Michael J. Brooks, Anton van den Hengel: Augmented particle filtering for efficient visual tracking. ICIP (3) 2005: 856-859 |
| c4 | | |
| 2004 | ||
| c3 | | Chunhua Shen, Anton van den Hengel, Anthony R. Dick, Michael J. Brooks: 2D Articulated Tracking with Dynamic Bayesian Networks. CIT 2004: 130-136 |
| c2 | | Chunhua Shen, Anton van den Hengel, Anthony R. Dick, Michael J. Brooks: Enhanced Importance Sampling: Unscented Auxiliary Particle Filtering for Visual Tracking. Australian Conference on Artificial Intelligence 2004: 180-191 |
| 2003 | ||
| c1 | | Chunhua Shen, Anton van den Hengel, Anthony R. Dick: Probabilistic Multiple Cue Integration for Particle Filter Based Tracking. DICTA 2003: 399-408 |
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