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Publications of Author

1. Chunhua Shen, Anton van den Hengel, Anthony R. Dick, Michael J. Brooks
   2D Articulated Tracking with Dynamic Bayesian Networks. [Citation Graph (0, 0)][DBLP]
   CIT, 2004, pp:130-136 [Conf]
   
2. Chunhua Shen, Anton van den Hengel, Anthony R. Dick, Michael J. Brooks
   Enhanced Importance Sampling: Unscented Auxiliary Particle Filtering for Visual Tracking. [Citation Graph (0, 0)][DBLP]
   Australian Conference on Artificial Intelligence, 2004, pp:180-191 [Conf]
   
3. Chunhua Shen, Anton van den Hengel, Anthony R. Dick
   Probabilistic Multiple Cue Integration for Particle Filter Based Tracking. [Citation Graph (0, 0)][DBLP]
   DICTA, 2003, pp:399-408 [Conf]
   
4. Chunhua Shen, Michael J. Brooks, Anton van den Hengel
   Fast Global Kernel Density Mode Seeking with Application to Localisation and Tracking. [Citation Graph (0, 0)][DBLP]
   ICCV, 2005, pp:1516-1523 [Conf]
   
5. Chunhua Shen, Anton van den Hengel, Michael J. Brooks
   Visual tracking via efficient kernel discriminant subspace learning. [Citation Graph (0, 0)][DBLP]
   ICIP (2), 2005, pp:590-593 [Conf]
   
6. Chunhua Shen, Michael J. Brooks, Anton van den Hengel
   Augmented particle filtering for efficient visual tracking. [Citation Graph (0, 0)][DBLP]
   ICIP (3), 2005, pp:856-859 [Conf]
   
7. Chunhua Shen, Hongdong Li, Michael J. Brooks
   A Convex Programming Approach to the Trace Quotient Problem. [Citation Graph (0, 0)][DBLP]
   ACCV (2), 2007, pp:227-235 [Conf]
   
8. Quang Anh Nguyen, Antonio Robles-Kelly, Chunhua Shen
   Kernel-based Tracking from a Probabilistic Viewpoint. [Citation Graph (0, 0)][DBLP]
   CVPR, 2007, pp:- [Conf]
   
9. Hanzi Wang, David Suter, Konrad Schindler, Chunhua Shen
   Adaptive Object Tracking Based on an Effective Appearance Filter. [Citation Graph (0, 0)][DBLP]
   IEEE Trans. Pattern Anal. Mach. Intell., 2007, v:29, n:9, pp:1661-1667 [Journal]
   
10. Chunhua Shen, Michael J. Brooks, Anton van den Hengel
    Fast Global Kernel Density Mode Seeking: Applications to Localization and Tracking. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2007, v:16, n:5, pp:1457-1469 [Journal]
    
11. 
    A Scalable Algorithm for Learning a Mahalanobis Distance Metric. [Citation Graph (, )][DBLP]
    
    
12. 
    A Variant of the Trace Quotient Formulation for Dimensionality Reduction. [Citation Graph (, )][DBLP]
    
    
13. 
    An LMI Approach for Reliable PTZ Camera Self-Calibration. [Citation Graph (, )][DBLP]
    
    
14. 
    Enhanced Kernel-Based Tracking for Monochromatic and Thermographic Video. [Citation Graph (, )][DBLP]
    
    
15. 
    Classification-Based Likelihood Functions for Bayesian Tracking. [Citation Graph (, )][DBLP]
    
    
16. 
    Efficiently training a better visual detector with sparse eigenvectors. [Citation Graph (, )][DBLP]
    
    
17. 
    Boosting the Minimum Margin: LPBoost vs. AdaBoost. [Citation Graph (, )][DBLP]
    
    
18. 
    Color Image Labelling Using Linear Programming. [Citation Graph (, )][DBLP]
    
    
19. 
    Multi-view Human Motion Capture with an Improved Deformation Skin Model. [Citation Graph (, )][DBLP]
    
    
20. 
    Feature Extraction Using Sequential Semidefinite Programming. [Citation Graph (, )][DBLP]
    
    
21. 
    An Experimental Evaluation of Local Features for Pedestrian Classification. [Citation Graph (, )][DBLP]
    
    
22. 
    Self-Calibrating Cameras Using Semidefinite Programming. [Citation Graph (, )][DBLP]
    
    
23. 
    Learning Cascaded Reduced-Set SVMs Using Linear Programming. [Citation Graph (, )][DBLP]
    
    
24. 
    Smooth Approximation of L_infinity-Norm for Multi-view Geometry. [Citation Graph (, )][DBLP]
    
    
25. 
    A Two-Layer Night-Time Vehicle Detector. [Citation Graph (, )][DBLP]
    
    
26. 
    A Fast Algorithm for Creating a Compact and Discriminative Visual Codebook. [Citation Graph (, )][DBLP]
    
    
27. 
    Object-Respecting Color Image Segmentation. [Citation Graph (, )][DBLP]
    
    
28. 
    Face detection from few training examples. [Citation Graph (, )][DBLP]
    
    
29. 
    An overview of fast pedestrian detection: Feature selection and cascade framework of boosted features. [Citation Graph (, )][DBLP]
    
    
30. 
    An experimental study on pedestrian classification using local features. [Citation Graph (, )][DBLP]
    
    
31. 
    Hippocampal Shape Classification Using Redundancy Constrained Feature Selection. [Citation Graph (, )][DBLP]
    
    
32. 
    PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning. [Citation Graph (, )][DBLP]
    
    
33. 
    A Duality View of Boosting Algorithms [Citation Graph (, )][DBLP]
    
    
34. 
    Efficiently Learning a Detection Cascade with Sparse Eigenvectors [Citation Graph (, )][DBLP]
    
    
35. 
    Boosting through Optimization of Margin Distributions [Citation Graph (, )][DBLP]
    
    
36. 
    Generalized Kernel-based Visual Tracking [Citation Graph (, )][DBLP]
    
    
37. 
    Positive Semidefinite Metric Learning with Boosting [Citation Graph (, )][DBLP]
    
    
38. 
    Scalable Large-Margin Mahalanobis Distance Metric Learning [Citation Graph (, )][DBLP]
    
    
39. 
    LACBoost and FisherBoost: Optimally Building Cascade Classifiers [Citation Graph (, )][DBLP]
    
    
40. 
    Incremental Training of a Detector Using Online Sparse Eigen-decomposition [Citation Graph (, )][DBLP]
    
    
41. 
    Optimally Training a Cascade Classifier [Citation Graph (, )][DBLP]
    
    
42. 
    Totally Corrective Boosting for Regularized Risk Minimization [Citation Graph (, )][DBLP]