 | 2012 |
| 83 |  | 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) |
| 82 |  | 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) |
| 81 |  | Chunhua Shen,
Peng Wang,
Fumin Shen,
Hanzi Wang:
UBoost: Boosting with the Universum.
IEEE Trans. Pattern Anal. Mach. Intell. 34(4): 825-832 (2012) |
| 2011 |
| 80 |  | Kyoungup Park,
Chunhua Shen,
Zhihui Hao,
Junae Kim:
Efficiently Learning a Distance Metric for Large Margin Nearest Neighbor Classification.
AAAI 2011 |
| 79 |  | Hanxi Li,
Chunhua Shen,
Qinfeng Shi:
Real-time visual tracking using compressive sensing.
CVPR 2011: 1305-1312 |
| 78 |  | Lingqiao Liu,
Lei Wang,
Chunhua Shen:
A generalized probabilistic framework for compact codebook creation.
CVPR 2011: 1537-1544 |
| 77 |  | Chunhua Shen,
Zhihui Hao:
A direct formulation for totally-corrective multi-class boosting.
CVPR 2011: 2585-2592 |
| 76 |  | Chunhua Shen,
Junae Kim,
Lei Wang:
A scalable dual approach to semidefinite metric learning.
CVPR 2011: 2601-2608 |
| 75 |  | Qinfeng Shi,
Anders Eriksson,
Anton van den Hengel,
Chunhua Shen:
Is face recognition really a Compressive Sensing problem?
CVPR 2011: 553-560 |
| 74 |  | Lei Wang,
Chunhua Shen,
Richard Hartley:
On the Optimality of Sequential Forward Feature Selection Using Class Separability Measure.
DICTA 2011: 203-208 |
| 73 |  | Tao Wang,
Xuming He,
Chunhua Shen,
Nick Barnes:
Laplacian Margin Distribution Boosting for Learning from Sparsely Labeled Data.
DICTA 2011: 209-216 |
| 72 |  | 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 |
| 71 |  | Chunhua Shen,
Junae Kim,
Lei Wang,
Anton van den Hengel:
Positive Semidefinite Metric Learning Using Boosting-like Algorithms
CoRR abs/1104.4704: (2011) |
| 70 |  | Hanxi Li,
Chunhua Shen,
Yongsheng Gao:
Face Recognition using Optimal Representation Ensemble
CoRR abs/1110.0264: (2011) |
| 69 |  | 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) |
| 68 |  | Chunhua Shen,
Sakrapee Paisitkriangkrai,
Jian Zhang:
Efficiently Learning a Detection Cascade With Sparse Eigenvectors.
IEEE Transactions on Image Processing 20(1): 22-35 (2011) |
| 2010 |
| 67 |  | Jian Zhang,
Chunhua Shen,
Glenn Geers:
International Conference on Digital Image Computing: Techniques and Applications, DICTA 2010, Sydney, Australia, 1-3 December, 2010
IEEE 2010 |
| 66 |  | Peng Wang,
Chunhua Shen,
Nick Barnes,
Hong Zheng,
Zhang Ren:
Asymmetric Totally-Corrective Boosting for Real-Time Object Detection.
ACCV (1) 2010: 176-188 |
| 65 |  | Sakrapee Paisitkriangkrai,
Chunhua Shen,
Jian Zhang:
Face Detection with Effective Feature Extraction.
ACCV (3) 2010: 460-470 |
| 64 |  | Zhihui Hao,
Chunhua Shen,
Nick Barnes,
Bo Wang:
Totally-Corrective Multi-class Boosting.
ACCV (4) 2010: 269-280 |
| 63 |  | Yongbin Zheng,
Chunhua Shen,
Richard Hartley,
Xinsheng Huang:
Pyramid Center-Symmetric Local Binary/Trinary Patterns for Effective Pedestrian Detection.
ACCV (4) 2010: 281-292 |
| 62 |  | Qinfeng Shi,
Hanxi Li,
Chunhua Shen:
Rapid face recognition using hashing.
CVPR 2010: 2753-2760 |
| 61 |  | Hanxi Li,
Peng Wang,
Chunhua Shen:
Robust Face Recognition via Accurate Face Alignment and Sparse Representation.
DICTA 2010: 262-269 |
| 60 |  | Chunhua Shen,
Peng Wang,
Hanxi Li:
LACBoost and FisherBoost: Optimally Building Cascade Classifiers.
ECCV (2) 2010: 608-621 |
| 59 |  | Weihong Wang,
Jian Zhang,
Chunhua Shen:
Improved human detection and classification in thermal images.
ICIP 2010: 2313-2316 |
| 58 |  | Yongbin Zheng,
Chunhua Shen,
Xinsheng Huang:
Pedestrian Detection Using Center-Symmetric Local Binary Patterns.
ICIP 2010: 3497-3500 |
| 57 |  | 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 |
| 56 |  | Luping Zhou,
Lei Wang,
Chunhua Shen,
Nick Barnes:
Hippocampal Shape Classification Using Redundancy Constrained Feature Selection.
MICCAI (2) 2010: 266-273 |
| 55 |  | Chunhua Shen,
Junae Kim,
Lei Wang:
Scalable Large-Margin Mahalanobis Distance Metric Learning
CoRR abs/1003.0487: (2010) |
| 54 |  | Chunhua Shen,
Peng Wang,
Hanxi Li:
LACBoost and FisherBoost: Optimally Building Cascade Classifiers
CoRR abs/1005.4103: (2010) |
| 53 |  | Sakrapee Paisitkriangkrai,
Chunhua Shen,
Jian Zhang:
Incremental Training of a Detector Using Online Sparse Eigen-decomposition
CoRR abs/1005.4118: (2010) |
| 52 |  | Chunhua Shen,
Peng Wang,
Anton van den Hengel:
Optimally Training a Cascade Classifier
CoRR abs/1008.3742: (2010) |
| 51 |  | Chunhua Shen,
Hanxi Li,
Nick Barnes:
Totally Corrective Boosting for Regularized Risk Minimization
CoRR abs/1008.5188: (2010) |
| 50 |  | Yongbin Zheng,
Chunhua Shen,
Richard I. Hartley,
Xinsheng Huang:
Effective Pedestrian Detection Using Center-symmetric Local Binary/Trinary Patterns
CoRR abs/1009.0892: (2010) |
| 49 |  | Peng Wang,
Chunhua Shen,
Nick Barnes,
Hong Zheng,
Zhang Ren:
Asymmetric Totally-corrective Boosting for Real-time Object Detection
CoRR abs/1009.3078: (2010) |
| 48 |  | Zhihui Hao,
Chunhua Shen,
Nick Barnes,
Bo Wang:
Totally Corrective Multiclass Boosting with Binary Weak Learners
CoRR abs/1009.3702: (2010) |
| 47 |  | Sakrapee Paisitkriangkrai,
Chunhua Shen,
Jian Zhang:
Face Detection with Effective Feature Extraction
CoRR abs/1009.5758: (2010) |
| 46 |  | Hanxi Li,
Chunhua Shen,
Qinfeng Shi:
Real-time Visual Tracking Using Sparse Representation
CoRR abs/1012.2603: (2010) |
| 45 |  | Chunhua Shen,
Junae Kim,
Hanzi Wang:
Generalized Kernel-Based Visual Tracking.
IEEE Trans. Circuits Syst. Video Techn. 20(1): 119-130 (2010) |
| 44 |  | Chunhua Shen,
Hanxi Li:
On the Dual Formulation of Boosting Algorithms.
IEEE Trans. Pattern Anal. Mach. Intell. 32(12): 2216-2231 (2010) |
| 43 |  | Chunhua Shen,
Hanxi Li:
Boosting through optimization of margin distributions.
IEEE Transactions on Neural Networks 21(4): 659-666 (2010) |
| 42 |  | Luping Zhou,
Lei Wang,
Chunhua Shen:
Feature selection with redundancy-constrained class separability.
IEEE Transactions on Neural Networks 21(5): 853-858 (2010) |
| 41 |  | Chunhua Shen,
Junae Kim,
Lei Wang:
Scalable large-margin Mahalanobis distance metric learning.
IEEE Transactions on Neural Networks 21(9): 1524-1530 (2010) |
| 40 |  | Hongdong Li,
Chunhua Shen:
Interactive color image segmentation with linear programming.
Mach. Vis. Appl. 21(4): 403-412 (2010) |
| 2009 |
| 39 |  | Peng Wang,
Chunhua Shen,
Hong Zheng,
Zhang Ren:
A Variant of the Trace Quotient Formulation for Dimensionality Reduction.
ACCV (3) 2009: 277-286 |
| 38 |  | Junae Kim,
Chunhua Shen,
Lei Wang:
A Scalable Algorithm for Learning a Mahalanobis Distance Metric.
ACCV (3) 2009: 299-310 |
| 37 |  | Sakrapee Paisitkriangkrai,
Chunhua Shen,
Jian Zhang:
Efficiently training a better visual detector with sparse eigenvectors.
CVPR 2009: 1129-1136 |
| 36 |  | Weihong Wang,
Chunhua Shen,
Jian Zhang,
Sakrapee Paisitkriangkrai:
A Two-Layer Night-Time Vehicle Detector.
DICTA 2009: 162-167 |
| 35 |  | Yuchao Dai,
Hongdong Li,
Mingyi He,
Chunhua Shen:
Smooth Approximation of L_infinity-Norm for Multi-view Geometry.
DICTA 2009: 339-346 |
| 34 |  | Jian Zhang,
Sakrapee Paisitkriangkrai,
Chunhua Shen:
An overview of fast pedestrian detection: Feature selection and cascade framework of boosted features.
ICME 2009: 1566-1567 |
| 33 |  | Chunhua Shen,
Junae Kim,
Lei Wang,
Anton van den Hengel:
Positive Semidefinite Metric Learning with Boosting.
NIPS 2009: 1651-1659 |
| 32 |  | Chunhua Shen,
Hanxi Li:
A Duality View of Boosting Algorithms
CoRR abs/0901.3590: (2009) |
| 31 |  | Chunhua Shen,
Sakrapee Paisitkriangkrai,
Jian Zhang:
Efficiently Learning a Detection Cascade with Sparse Eigenvectors
CoRR abs/0903.3103: (2009) |
| 30 |  | Chunhua Shen,
Hanxi Li:
Boosting through Optimization of Margin Distributions
CoRR abs/0904.2037: (2009) |
| 29 |  | Chunhua Shen,
Junae Kim,
Hanzi Wang:
Generalized Kernel-based Visual Tracking
CoRR abs/0905.2463: (2009) |
| 28 |  | Chunhua Shen,
Junae Kim,
Lei Wang,
Anton van den Hengel:
Positive Semidefinite Metric Learning with Boosting
CoRR abs/0910.2279: (2009) |
| 2008 |
| 27 |  | 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 |
| 26 |  | Chunhua Shen,
Hongdong Li,
Michael J. Brooks:
Self-Calibrating Cameras Using Semidefinite Programming.
DICTA 2008: 436-441 |
| 25 |  | Hanxi Li,
Chunhua Shen:
Boosting the Minimum Margin: LPBoost vs. AdaBoost.
DICTA 2008: 533-539 |
| 24 |  | Junae Kim,
Chunhua Shen,
Lei Wang:
Learning Cascaded Reduced-Set SVMs Using Linear Programming.
DICTA 2008: 619-626 |
| 23 |  | Lei Wang,
Luping Zhou,
Chunhua Shen:
A Fast Algorithm for Creating a Compact and Discriminative Visual Codebook.
ECCV (4) 2008: 719-732 |
| 22 |  | Chunhua Shen,
Sakrapee Paisitkriangkrai,
Jian Zhang:
Face detection from few training examples.
ICIP 2008: 2764-2767 |
| 21 |  | Sakrapee Paisitkriangkrai,
Chunhua Shen,
Jian Zhang:
An experimental study on pedestrian classification using local features.
ISCAS 2008: 2741-2744 |
| 20 |  | Chunhua Shen,
Alan Welsh,
Lei Wang:
PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning.
NIPS 2008: 1473-1480 |
| 19 |  | 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) |
| 18 |  | Chunhua Shen,
Hongdong Li,
Michael J. Brooks:
Supervised dimensionality reduction via sequential semidefinite programming.
Pattern Recognition 41(12): 3644-3652 (2008) |
| 2007 |
| 17 |  | Chunhua Shen,
Hongdong Li,
Michael J. Brooks:
A Convex Programming Approach to the Trace Quotient Problem.
ACCV (2) 2007: 227-235 |
| 16 |  | Quang Anh Nguyen,
Antonio Robles-Kelly,
Chunhua Shen:
Kernel-based Tracking from a Probabilistic Viewpoint.
CVPR 2007 |
| 15 |  | Hongdong Li,
Chunhua Shen,
Zhiying Wen:
Color Image Labelling Using Linear Programming.
DICTA 2007: 239-244 |
| 14 |  | Chunhua Shen,
Hongdong Li,
Michael J. Brooks:
Feature Extraction Using Sequential Semidefinite Programming.
DICTA 2007: 430-437 |
| 13 |  | Sakrapee Paisitkriangkrai,
Chunhua Shen,
Jian Zhang:
An Experimental Evaluation of Local Features for Pedestrian Classification.
DICTA 2007: 53-60 |
| 12 |  | Hongdong Li,
Chunhua Shen:
Object-Respecting Color Image Segmentation.
ICIP (2) 2007: 257-260 |
| 11 |  | 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) |
| 10 |  | 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) |
| 2006 |
| 9 |  | Quang Anh Nguyen,
Antonio Robles-Kelly,
Chunhua Shen:
Enhanced Kernel-Based Tracking for Monochromatic and Thermographic Video.
AVSS 2006: 28 |
| 8 |  | Chunhua Shen,
Hongdong Li,
Michael J. Brooks:
Classification-Based Likelihood Functions for Bayesian Tracking.
AVSS 2006: 33 |
| 7 |  | Hongdong Li,
Chunhua Shen:
An LMI Approach for Reliable PTZ Camera Self-Calibration.
AVSS 2006: 79 |
| 2005 |
| 6 |  | 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 |
| 5 |  | Chunhua Shen,
Anton van den Hengel,
Michael J. Brooks:
Visual tracking via efficient kernel discriminant subspace learning.
ICIP (2) 2005: 590-593 |
| 4 |  | Chunhua Shen,
Michael J. Brooks,
Anton van den Hengel:
Augmented particle filtering for efficient visual tracking.
ICIP (3) 2005: 856-859 |
| 2004 |
| 3 |  | 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 |
| 2 |  | Chunhua Shen,
Anton van den Hengel,
Anthony R. Dick,
Michael J. Brooks:
2D Articulated Tracking with Dynamic Bayesian Networks.
CIT 2004: 130-136 |
| 2003 |
| 1 |  | Chunhua Shen,
Anton van den Hengel,
Anthony R. Dick:
Probabilistic Multiple Cue Integration for Particle Filter Based Tracking.
DICTA 2003: 399-408 |