Chunhua Shen

	2009
35		Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhang: Efficiently training a better visual detector with sparse eigenvectors. CVPR 2009: 1129-1136
34		Weihong Wang, Chunhua Shen, Jian Zhang, Sakrapee Paisitkriangkrai: A Two-Layer Night-Time Vehicle Detector. DICTA 2009: 162-167
33		Yuchao Dai, Hongdong Li, Mingyi He, Chunhua Shen: Smooth Approximation of L_infinity-Norm for Multi-view Geometry. DICTA 2009: 339-346
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

Coauthor Index

1	Michael J. Brooks (Mike Brooks)	[2] [3] [4] [5] [6] [8] [10] [14] [17] [18] [26]
2	Yuchao Dai	[33]
3	Anthony R. Dick	[1] [2] [3]
4	Richard I. Hartley	[27]
5	Mingyi He	[33]
6	Anton van den Hengel	[1] [2] [3] [4] [5] [6] [10] [28]
7	Junae Kim	[24] [28] [29]
8	Hanxi Li	[25] [30] [32]
9	Hongdong Li	[7] [8] [12] [14] [15] [17] [18] [26] [27] [33]
10	Yifan Lu	[27]
11	Quang Anh Nguyen	[9] [16]
12	Sakrapee Paisitkriangkrai	[13] [19] [21] [22] [31] [34] [35]
13	Antonio Robles-Kelly	[9] [16]
14	Konrad Schindler	[11]
15	David Suter	[11]
16	Hanzi Wang	[11] [29]
17	Lei Wang	[20] [23] [24] [27] [28]
18	Weihong Wang	[34]
19	Alan Welsh	[20]
20	Zhiying Wen	[15]
21	Jian Zhang	[13] [19] [21] [22] [31] [34] [35]
22	Luping Zhou	[23]

Colors in the list of coauthors