| Adaptive object tracking based on an effective appearance filter H Wang, D Suter, K Schindler, C Shen IEEE transactions on pattern analysis and machine intelligence 29 (9), 1661-1667, 2007 | 237 | 2007 |
| A consensus-based method for tracking: Modelling background scenario and foreground appearance H Wang, D Suter Pattern Recognition 40 (3), 1091-1105, 2007 | 222 | 2007 |
| Robust adaptive-scale parametric model estimation for computer vision H Wang, D Suter IEEE transactions on pattern analysis and machine intelligence 26 (11), 1459 …, 2004 | 194 | 2004 |
| Simultaneously fitting and segmenting multiple-structure data with outliers H Wang, TJ Chin, D Suter IEEE transactions on pattern analysis and machine intelligence 34 (6), 1177-1192, 2012 | 128 | 2012 |
| Robust fitting of multiple structures: The statistical learning approach TJ Chin, H Wang, D Suter 2009 IEEE 12th International Conference on Computer Vision, 413-420, 2009 | 127 | 2009 |
| MDPE: A very robust estimator for model fitting and range image segmentation H Wang, D Suter International Journal of Computer Vision 59 (2), 139-166, 2004 | 118 | 2004 |
| Generalized kernel-based visual tracking C Shen, J Kim, H Wang IEEE Transactions on Circuits and Systems for Video Technology 20 (1), 119-130, 2010 | 117 | 2010 |
| Incremental learning of 3D-DCT compact representations for robust visual tracking X Li, A Dick, C Shen, A Van Den Hengel, H Wang IEEE transactions on pattern analysis and machine intelligence 35 (4), 863-881, 2013 | 113 | 2013 |
| Background subtraction based on a robust consensus method H Wang, D Suter 18th International Conference on Pattern Recognition (ICPR'06) 1, 223-226, 2006 | 113 | 2006 |
| Visual tracking via weakly supervised learning from multiple imperfect oracles B Zhong, H Yao, S Chen, R Ji, TJ Chin, H Wang Pattern Recognition 47 (3), 1395-1410, 2014 | 112 | 2014 |
| A re-evaluation of mixture of gaussian background modeling [video signal processing applications] H Wang, D Suter Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005 | 110 | 2005 |
| Feature decomposition and reconstruction learning for effective facial expression recognition D Ruan, Y Yan, S Lai, Z Chai, C Shen, H Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 102 | 2021 |
| A novel robust statistical method for background initialization and visual surveillance H Wang, D Suter Asian Conference on Computer Vision, 328-337, 2006 | 88 | 2006 |
| Linear discriminant analysis using rotational invariant L1 norm X Li, W Hu, H Wang, Z Zhang Neurocomputing 73 (13-15), 2571-2579, 2010 | 82 | 2010 |
| Multi-label learning based deep transfer neural network for facial attribute classification N Zhuang, Y Yan, S Chen, H Wang, C Shen Pattern Recognition 80, 225-240, 2018 | 75 | 2018 |
| Smooth foreground-background segmentation for video processing K Schindler, H Wang Asian Conference on Computer Vision, 581-590, 2006 | 73 | 2006 |
| A system for video-based navigation for endoscopic endonasal skull base surgery DJ Mirota, H Wang, RH Taylor, M Ishii, GL Gallia, GD Hager IEEE transactions on medical imaging 31 (4), 963-976, 2012 | 72 | 2012 |
| Perspective n-view multibody structure-and-motion through model selection K Schindler, U James, H Wang European Conference on Computer Vision, 606-619, 2006 | 69 | 2006 |
| Real-time high-performance semantic image segmentation of urban street scenes G Dong, Y Yan, C Shen, H Wang IEEE Transactions on Intelligent Transportation Systems, 2020 | 68 | 2020 |
| Heat kernel based local binary pattern for face representation X Li, W Hu, Z Zhang, H Wang IEEE Signal Processing Letters 17 (3), 308-311, 2010 | 68 | 2010 |
Yan Yan (严严)Department of Computer Science, Xiamen UniversityVerified email at xmu.edu.cn
