| Pairwise rotation invariant co-occurrence local binary pattern X Qi, R Xiao, CG Li, Y Qiao, J Guo, X Tang IEEE transactions on pattern analysis and machine intelligence 36 (11), 2199 …, 2014 | 308 | 2014 |
| Pairwise Rotation Invariant Co-occurrence Local Binary Pattern L Qi, X., Xiao, R., Guo, J., & Zhang European Conference on Computer Vision (ECCV), 158-171, 2012 | 308* | 2012 |
| DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection Q Zou, Z Zhang, Q Li, X Qi, Q Wang, S Wang IEEE Transactions on Image Processing, 2018 | 103 | 2018 |
| Dynamic texture and scene classification by transferring deep image features X Qi, CG Li, G Zhao, X Hong, M Pietikäinen Neurocomputing, 2016 | 82 | 2016 |
| Exploring Motion Boundary based Sampling and Spatial-Temporal Context Descriptors for Action Recognition. X Peng, Y Qiao, Q Peng, X Qi BMVC 20, 93-96, 2013 | 56 | 2013 |
| Globally rotation invariant multi-scale co-occurrence local binary pattern X Qi, L Shen, G Zhao, Q Li, M Pietikäinen Image and Vision Computing 43, 16-26, 2015 | 38 | 2015 |
| Multi-scale Joint Encoding of Local Binary Patterns for Texture and Material Classification X Qi, Y Qiao, CG Li, J Guo British Machine Vision Conference, 2013 | 32 | 2013 |
| Self-supervised convolutional subspace clustering network J Zhang, CG Li, C You, X Qi, H Zhang, J Guo, Z Lin Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 25 | 2019 |
| LOAD: Local Orientation Adaptive Descriptor for Texture and Material Classification X Qi, G Zhao, L Shen, Q Li, M Pietikainen Neurocomputing, 2016 | 23 | 2016 |
| Face Recognition Via Centralized Coordiante Learning X Qi, L Zhang https://arxiv.org/abs/1801.05678, 2018 | 21 | 2018 |
| HEp-2 Cell Classification via Combining Multi-resolution Co-occurrence Texture and Large Regional Shape Information X Qi, G Zhao, CG Li, J Guo, M Pietikainen IEEE Journal of Biomedical and Health Informatics, 2016 | 16* | 2016 |
| Exploring dense trajectory feature and encoding methods for human interaction recognition X Peng, X Wu, Q Peng, X Qi, Y Qiao, Y Liu Proceedings of the Fifth International Conference on Internet Multimedia …, 2013 | 16 | 2013 |
| Hep-2 cell classification: The role of gaussian scale space theory as a pre-processing approach X Qi, G Zhao, J Chen, M Pietikäinen Pattern Recognition Letters, 2016 | 14 | 2016 |
| Spatial co-occurrence of local intensity order for face recognition X Qi, Y Lu, S Chen, CG Li, J Guo 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 1-6, 2013 | 12 | 2013 |
| Thorax disease diagnosis using deep convolutional neural network J Chen, X Qi, O Tervonen, O Silvén, G Zhao, M Pietikäinen 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 11 | 2016 |
| Homocentric hypersphere feature embedding for person re-identification W Xiang, J Huang, X Qi, X Hua, L Zhang 2019 IEEE International Conference on Image Processing (ICIP), 1237-1241, 2019 | 8 | 2019 |
| Exploring illumination robust descriptors for human epithelial type 2 cell classification X Qi, G Zhao, J Chen, M Pietikäinen Pattern Recognition 60, 420-429, 2016 | 8 | 2016 |
| Discriminative regional color co-occurrence descriptor Q Zou, X Qi, Q Li, S Wang 2015 IEEE International Conference on Image Processing (ICIP), 696-700, 2015 | 7 | 2015 |
| Dimensionality reduction by low-rank embedding CG Li, X Qi, J Guo International Conference on Intelligent Science and Intelligent Data …, 2012 | 7 | 2012 |
| Exploring Cross-Channel Texture Correlation for Color Texture Classification X Qi, Y Qiao, CG Li, J Guo British Machine Vision Conference, 2013 | 6 | 2013 |
Chun-Guang LiAssociate Professor, Beijing University of Posts and TelecommunicationsVerified email at bupt.edu.cn
