| Gait recognition via effective global-local feature representation and local temporal aggregation B Lin, S Zhang, X Yu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 377 | 2021 |
| Gait recognition with multiple-temporal-scale 3d convolutional neural network B Lin, S Zhang, F Bao Proceedings of the 28th ACM international conference on multimedia, 3054-3062, 2020 | 209 | 2020 |
| Object tracking with multi-view support vector machines S Zhang, X Yu, Y Sui, S Zhao, L Zhang IEEE Transactions on Multimedia 17 (3), 265-278, 2015 | 154 | 2015 |
| PMSC: PatchMatch-based superpixel cut for accurate stereo matching L Li, S Zhang, X Yu, L Zhang IEEE Transactions on Circuits and Systems for Video Technology 28 (3), 679-692, 2016 | 119 | 2016 |
| 3D cost aggregation with multiple minimum spanning trees for stereo matching L Li, X Yu, S Zhang, X Zhao, L Zhang Applied optics 56 (12), 3411-3420, 2017 | 90 | 2017 |
| Dygait: Exploiting dynamic representations for high-performance gait recognition M Wang, X Guo, B Lin, T Yang, Z Zhu, L Li, S Zhang, X Yu Proceedings of the IEEE/CVF international conference on computer vision …, 2023 | 83 | 2023 |
| Gaitgl: Learning discriminative global-local feature representations for gait recognition B Lin, S Zhang, M Wang, L Li, X Yu arXiv preprint arXiv:2208.01380, 2022 | 68 | 2022 |
| Single object tracking with fuzzy least squares support vector machine S Zhang, S Zhao, Y Sui, L Zhang IEEE Transactions on Image Processing 24 (12), 5723-5738, 2015 | 63 | 2015 |
| Efficient patch-wise non-uniform deblurring for a single image X Yu, F Xu, S Zhang, L Zhang IEEE Transactions on Multimedia 16 (6), 1510-1524, 2014 | 62 | 2014 |
| Residual multiscale based single image deraining Y Zheng, X Yu, M Liu, S Zhang BMVA Press, 2019 | 59 | 2019 |
| Detecting prohibited objects with physical size constraint from cluttered X-ray baggage images A Chang, Y Zhang, S Zhang, L Zhong, L Zhang Knowledge-Based Systems 237, 107916, 2022 | 51 | 2022 |
| Robust visual tracking via sparsity-induced subspace learning Y Sui, S Zhang, L Zhang IEEE Transactions on Image Processing 24 (12), 4686-4700, 2015 | 51 | 2015 |
| Occlusion-aware region-based 3D pose tracking of objects with temporally consistent polar-based local partitioning L Zhong, X Zhao, Y Zhang, S Zhang, L Zhang IEEE Transactions on Image Processing 29, 5065-5078, 2020 | 44 | 2020 |
| Local extreme map guided multi-modal brain image fusion Y Zhang, W Xiang, S Zhang, J Shen, R Wei, X Bai, L Zhang, Q Zhang Frontiers in Neuroscience 16, 1055451, 2022 | 37 | 2022 |
| Single-image deraining via recurrent residual multiscale networks Y Zheng, X Yu, M Liu, S Zhang IEEE transactions on neural networks and learning systems 33 (3), 1310-1323, 2020 | 36 | 2020 |
| Learning scale-adaptive tight correlation filter for object tracking S Zhang, W Lu, W Xing, L Zhang IEEE transactions on cybernetics 50 (1), 270-283, 2018 | 36 | 2018 |
| Hybrid support vector machines for robust object tracking S Zhang, Y Sui, X Yu, S Zhao, L Zhang Pattern Recognition 48 (8), 2474-2488, 2015 | 36 | 2015 |
| IAIFNet: an illumination-aware infrared and visible image fusion network Q Yang, Y Zhang, Z Zhao, J Zhang, S Zhang IEEE Signal Processing Letters 31, 1374-1378, 2024 | 34 | 2024 |
| ‘Learning effective representations from global and local features for cross-view gait recognition Z Chu arXiv preprint arXiv:2011.01461, 2020 | 32 | 2020 |
| Single image depth estimation with normal guided scale invariant deep convolutional fields H Yan, X Yu, Y Zhang, S Zhang, X Zhao, L Zhang IEEE Transactions on Circuits and Systems for Video Technology 29 (1), 80-92, 2017 | 32 | 2017 |
Xin YuAdelaide UniversityVerified email at adelaide.edu.au
