| Visual contour tracking based on particle filters P Li, T Zhang, AEC Pece Image and Vision Computing 21 (1), 111-123, 2003 | 229 | 2003 |
| Mind the class weight bias: Weighted maximum mean discrepancy for unsupervised domain adaptation H Yan, Y Ding, P Li, Q Wang, Y Xu, W Zuo Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 227 | 2017 |
| Robust and accurate iris segmentation in very noisy iris images P Li, X Liu, L Xiao, Q Song Image and vision computing 28 (2), 246-253, 2010 | 151 | 2010 |
| Review on active contour model(snake model) PH Li, TW Zhang RUAN JIAN XUE BAO 11 (6), 751-757, 2000 | 148* | 2000 |
| Unscented Kalman filter for visual curve tracking P Li, T Zhang, B Ma Image and vision computing 22 (2), 157-164, 2004 | 142 | 2004 |
| Is second-order information helpful for large-scale visual recognition? P Li, J Xie, Q Wang, W Zuo Proceedings of the IEEE international conference on computer vision, 2070-2078, 2017 | 129 | 2017 |
| Log-Euclidean kernels for sparse representation and dictionary learning P Li, Q Wang, W Zuo, L Zhang Proceedings of the IEEE international conference on computer vision, 1601-1608, 2013 | 122 | 2013 |
| Towards faster training of global covariance pooling networks by iterative matrix square root normalization P Li, J Xie, Q Wang, Z Gao Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 107 | 2018 |
| End-to-end image super-resolution via deep and shallow convolutional networks Y Wang, L Wang, H Wang, P Li IEEE Access 7, 31959-31970, 2019 | 102 | 2019 |
| Iris recognition in non-ideal imaging conditions P Li, H Ma Pattern Recognition Letters 33 (8), 1012-1018, 2012 | 87 | 2012 |
| G2DeNet: Global Gaussian distribution embedding network and its application to visual recognition Q Wang, P Li, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 69 | 2017 |
| A novel earth mover's distance methodology for image matching with gaussian mixture models P Li, Q Wang, L Zhang Proceedings of the IEEE International Conference on Computer Vision, 1689-1696, 2013 | 68 | 2013 |
| An adaptive binning color model for mean shift tracking P Li IEEE Transactions on Circuits and Systems for Video Technology 18 (9), 1293-1299, 2008 | 64 | 2008 |
| Global second-order pooling convolutional networks Z Gao, J Xie, Q Wang, P Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 63 | 2019 |
| Integrating boundary and center correlation filters for visual tracking with aspect ratio variation F Li, Y Yao, P Li, D Zhang, W Zuo, MH Yang Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 62 | 2017 |
| 一种改进的Mean Shift跟踪算法 李培华 ACTA Automatica sinica 33 (4), 347-354, 2007 | 56 | 2007 |
| Image cues fusion for object tracking based on particle filter P Li, F Chaumette International Conference on Articulated Motion And Deformable Objects, 99-110, 2004 | 56 | 2004 |
| Weighted co-occurrence phase histogram for iris recognition P Li, X Liu, N Zhao Pattern Recognition Letters 33 (8), 1000-1005, 2012 | 54 | 2012 |
| Marketing a US university to international students: which approach is best–standardization, adaptation, or contingency? An investigation of consumer needs in seven countries A Shah, H Laino Journal of Marketing for Higher Education 16 (1), 1-24, 2006 | 53* | 2006 |
| Multi-scale location-aware kernel representation for object detection H Wang, Q Wang, M Gao, P Li, W Zuo Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 52 | 2018 |
