| 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 | 405 | 2018 |
| 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 | 358 | 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 | 358* | 2012 |
| Self-supervised convolutional subspace clustering network J Zhang, CG Li, C You, X Qi, H Zhang, J Guo, Z Lin Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 122 | 2019 |
| Dynamic texture and scene classification by transferring deep image features X Qi, CG Li, G Zhao, X Hong, M Pietikäinen Neurocomputing, 2016 | 104 | 2016 |
| Dab-detr: Dynamic anchor boxes are better queries for detr S Liu, F Li, H Zhang, X Yang, X Qi, H Su, J Zhu, L Zhang arXiv preprint arXiv:2201.12329, 2022 | 90 | 2022 |
| PICK: processing key information extraction from documents using improved graph learning-convolutional networks W Yu, N Lu, X Qi, P Gong, R Xiao 2020 25th International Conference on Pattern Recognition (ICPR), 4363-4370, 2021 | 71 | 2021 |
| Master: Multi-aspect non-local network for scene text recognition N Lu, W Yu, X Qi, Y Chen, P Gong, R Xiao, X Bai Pattern Recognition 117, 107980, 2021 | 66 | 2021 |
| 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 | 65 | 2013 |
| Face Recognition Via Centralized Coordiante Learning X Qi, L Zhang https://arxiv.org/abs/1801.05678, 2018 | 41 | 2018 |
| 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 | 40 | 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 | 36 | 2013 |
| Fast infrared and visible image fusion with structural decomposition H Li, X Qi, W Xie Knowledge-Based Systems 204, 106182, 2020 | 31 | 2020 |
| LOAD: Local Orientation Adaptive Descriptor for Texture and Material Classification X Qi, G Zhao, L Shen, Q Li, M Pietikainen Neurocomputing, 2016 | 27 | 2016 |
| Learning graph normalization for graph neural networks Y Chen, X Tang, X Qi, CG Li, R Xiao Neurocomputing 493, 613-625, 2022 | 21 | 2022 |
| 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 | 21 | 2016 |
| 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 | 19* | 2016 |
| Detail-preserving multi-exposure fusion with edge-preserving structural patch decomposition H Li, TN Chan, X Qi, W Xie IEEE Transactions on Circuits and Systems for Video Technology 31 (11), 4293 …, 2021 | 17 | 2021 |
| 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 | 17 | 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 | 17 | 2013 |
Chun-Guang LiAssociate Professor, Beijing University of Posts and TelecommunicationsVerified email at bupt.edu.cn
