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Chunhua Shen

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2009
30EEChunhua Shen, Hanxi Li: A Duality View of Boosting Algorithms CoRR abs/0901.3590: (2009)
29EEChunhua Shen, Sakrapee Paisitkriangkrai, Jian Zhang: Efficiently Learning a Detection Cascade with Sparse Eigenvectors CoRR abs/0903.3103: (2009)
28EEChunhua Shen, Hanxi Li: Boosting through Optimization of Margin Distributions CoRR abs/0904.2037: (2009)
2008
27EEYifan Lu, Lei Wang, Richard Hartley, Hongdong Li, Chunhua Shen: Multi-view Human Motion Capture with an Improved Deformation Skin Model. DICTA 2008: 420-427
26EEChunhua Shen, Hongdong Li, Michael J. Brooks: Self-Calibrating Cameras Using Semidefinite Programming. DICTA 2008: 436-441
25EEHanxi Li, Chunhua Shen: Boosting the Minimum Margin: LPBoost vs. AdaBoost. DICTA 2008: 533-539
24EEJunae Kim, Chunhua Shen, Lei Wang: Learning Cascaded Reduced-Set SVMs Using Linear Programming. DICTA 2008: 619-626
23EELei Wang, Luping Zhou, Chunhua Shen: A Fast Algorithm for Creating a Compact and Discriminative Visual Codebook. ECCV (4) 2008: 719-732
22EEChunhua Shen, Sakrapee Paisitkriangkrai, Jian Zhang: Face detection from few training examples. ICIP 2008: 2764-2767
21EESakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhang: An experimental study on pedestrian classification using local features. ISCAS 2008: 2741-2744
20EEChunhua Shen, Alan Welsh, Lei Wang: PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning. NIPS 2008: 1473-1480
19EESakrapee 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)
18EEChunhua Shen, Hongdong Li, Michael J. Brooks: Supervised dimensionality reduction via sequential semidefinite programming. Pattern Recognition 41(12): 3644-3652 (2008)
2007
17EEChunhua Shen, Hongdong Li, Michael J. Brooks: A Convex Programming Approach to the Trace Quotient Problem. ACCV (2) 2007: 227-235
16EEQuang Anh Nguyen, Antonio Robles-Kelly, Chunhua Shen: Kernel-based Tracking from a Probabilistic Viewpoint. CVPR 2007
15EEHongdong Li, Chunhua Shen, Zhiying Wen: Color Image Labelling Using Linear Programming. DICTA 2007: 239-244
14EEChunhua Shen, Hongdong Li, Michael J. Brooks: Feature Extraction Using Sequential Semidefinite Programming. DICTA 2007: 430-437
13EESakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhang: An Experimental Evaluation of Local Features for Pedestrian Classification. DICTA 2007: 53-60
12EEHongdong Li, Chunhua Shen: Object-Respecting Color Image Segmentation. ICIP (2) 2007: 257-260
11EEHanzi 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)
10EEChunhua 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
9EEQuang Anh Nguyen, Antonio Robles-Kelly, Chunhua Shen: Enhanced Kernel-Based Tracking for Monochromatic and Thermographic Video. AVSS 2006: 28
8EEChunhua Shen, Hongdong Li, Michael J. Brooks: Classification-Based Likelihood Functions for Bayesian Tracking. AVSS 2006: 33
7EEHongdong Li, Chunhua Shen: An LMI Approach for Reliable PTZ Camera Self-Calibration. AVSS 2006: 79
2005
6EEChunhua Shen, Michael J. Brooks, Anton van den Hengel: Fast Global Kernel Density Mode Seeking with Application to Localisation and Tracking. ICCV 2005: 1516-1523
5EEChunhua Shen, Anton van den Hengel, Michael J. Brooks: Visual tracking via efficient kernel discriminant subspace learning. ICIP (2) 2005: 590-593
4EEChunhua Shen, Michael J. Brooks, Anton van den Hengel: Augmented particle filtering for efficient visual tracking. ICIP (3) 2005: 856-859
2004
3EEChunhua 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
2EEChunhua Shen, Anton van den Hengel, Anthony R. Dick, Michael J. Brooks: 2D Articulated Tracking with Dynamic Bayesian Networks. CIT 2004: 130-136
2003
1EEChunhua Shen, Anton van den Hengel, Anthony R. Dick: Probabilistic Multiple Cue Integration for Particle Filter Based Tracking. DICTA 2003: 399-408

Coauthor Index

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

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)