| Deep relational reasoning graph network for arbitrary shape text detection SX Zhang, X Zhu, JB Hou, C Liu, C Yang, H Wang, XC Yin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 243 | 2020 |
| Sparse representation for robust abnormality detection in crowded scenes X Zhu, J Liu, J Wang, C Li, H Lu Pattern Recognition 47 (5), 1791-1799, 2014 | 125 | 2014 |
| Exploring spatial significance via hybrid pyramidal graph network for vehicle re-identification F Shen, J Zhu, X Zhu, Y Xie, J Huang IEEE Transactions on Intelligent Transportation Systems 23 (7), 8793-8804, 2021 | 115 | 2021 |
| Git: Graph interactive transformer for vehicle re-identification F Shen, Y Xie, J Zhu, X Zhu, H Zeng IEEE Transactions on Image Processing 32, 1039-1051, 2023 | 111 | 2023 |
| Adaptive boundary proposal network for arbitrary shape text detection SX Zhang, X Zhu, C Yang, H Wang, XC Yin Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 102 | 2021 |
| Adversarial learning for constrained image splicing detection and localization based on atrous convolution Y Liu, X Zhu, X Zhao, Y Cao IEEE Transactions on Information Forensics and Security 14 (10), 2551-2566, 2019 | 90 | 2019 |
| Image annotation using multi-correlation probabilistic matrix factorization Z Li, J Liu, X Zhu, T Liu, H Lu Proceedings of the 18th ACM international conference on Multimedia, 1187-1190, 2010 | 78 | 2010 |
| Residual invertible spatio-temporal network for video super-resolution X Zhu, Z Li, XY Zhang, C Li, Y Liu, Z Xue Proceedings of the AAAI conference on artificial intelligence 33 (01), 5981-5988, 2019 | 77 | 2019 |
| Learning transferable self-attentive representations for action recognition in untrimmed videos with weak supervision XY Zhang, H Shi, C Li, K Zheng, X Zhu, L Duan Proceedings of the AAAI conference on artificial intelligence 33 (01), 9227-9234, 2019 | 70 | 2019 |
| Two-stage copy-move forgery detection with self deep matching and proposal superglue Y Liu, C Xia, X Zhu, S Xu IEEE Transactions on Image Processing 31, 541-555, 2021 | 60 | 2021 |
| Seggan: Semantic segmentation with generative adversarial network X Zhang, X Zhu, N Zhang, P Li, L Wang 2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM), 1-5, 2018 | 60 | 2018 |
| A novel framework for semantic segmentation with generative adversarial network X Zhu, X Zhang, XY Zhang, Z Xue, L Wang Journal of Visual Communication and Image Representation 58, 532-543, 2019 | 57 | 2019 |
| Active semi-supervised learning based on self-expressive correlation with generative adversarial networks XY Zhang, H Shi, X Zhu, P Li Neurocomputing 345, 103-113, 2019 | 54 | 2019 |
| Region-wise deep feature representation for remote sensing images P Li, P Ren, X Zhang, Q Wang, X Zhu, L Wang Remote Sensing 10 (6), 871, 2018 | 53 | 2018 |
| AdapNet: Adaptability decomposing encoder–decoder network for weakly supervised action recognition and localization XY Zhang, C Li, H Shi, X Zhu, P Li, J Dong IEEE transactions on neural networks and learning systems 34 (4), 1852-1863, 2020 | 52 | 2020 |
| Human age estimation based on locality and ordinal information C Li, Q Liu, W Dong, X Zhu, J Liu, H Lu IEEE transactions on cybernetics 45 (11), 2522-2534, 2014 | 47 | 2014 |
| Update vs. upgrade: Modeling with indeterminate multi-class active learning XY Zhang, S Wang, X Zhu, X Yun, G Wu, Y Wang Neurocomputing 162, 163-170, 2015 | 46 | 2015 |
| Attention-aware perceptual enhancement nets for low-resolution image classification X Zhu, Z Li, X Li, S Li, F Dai Information Sciences 515, 233-247, 2020 | 44 | 2020 |
| Towards open-set text recognition via label-to-prototype learning C Liu, C Yang, HB Qin, X Zhu, CL Liu, XC Yin Pattern Recognition 134, 109109, 2023 | 42 | 2023 |
| An efficient multiresolution network for vehicle reidentification F Shen, J Zhu, X Zhu, J Huang, H Zeng, Z Lei, C Cai IEEE Internet of Things Journal 9 (11), 9049-9059, 2021 | 42 | 2021 |
