| 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 | 130 | 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 | 79 | 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 | 69 | 2017 |
| 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 | 56 | 2015 |
| Robust visual tracking via sparsity-induced subspace learning Y Sui, S Zhang, L Zhang IEEE Transactions on Image Processing 24 (12), 4686-4700, 2015 | 43 | 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 | 39 | 2014 |
| 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 | 37 | 2020 |
| 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 |
| Residual Multiscale Based Single Image Deraining. Y Zheng, X Yu, M Liu, S Zhang bmvc, 147, 2019 | 30 | 2019 |
| Visual object tracking with multi-scale superpixels and color-feature guided kernelized correlation filters J Wang, W Liu, W Xing, S Zhang Signal Processing: Image Communication 63, 44-62, 2018 | 24 | 2018 |
| Monocular depth estimation with guidance of surface normal map H Yan, S Zhang, Y Zhang, L Zhang Neurocomputing 280, 86-100, 2018 | 24 | 2018 |
| Multi-local-task learning with global regularization for object tracking S Zhang, Y Sui, S Zhao, X Yu, L Zhang Pattern Recognition 48 (12), 3881-3894, 2015 | 24 | 2015 |
| 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 | 23 | 2018 |
| Towards occlusion handling: object tracking with background estimation S Zhao, S Zhang, L Zhang IEEE Transactions on Cybernetics 48 (7), 2086-2100, 2017 | 22 | 2017 |
| Graph-regularized structured support vector machine for object tracking S Zhang, Y Sui, S Zhao, L Zhang IEEE Transactions on Circuits and Systems for Video Technology 27 (6), 1249-1262, 2015 | 22 | 2015 |
| Using fuzzy least squares support vector machine with metric learning for object tracking S Zhang, W Lu, W Xing, L Zhang Pattern Recognition 84, 112-125, 2018 | 17 | 2018 |
| Learning effective representations from global and local features for cross-view gait recognition B Lin, S Zhang, X Yu, Z Chu, H Zhang arXiv preprint arXiv:2011.01461 1 (2), 2020 | 14 | 2020 |
| Self-expressive tracking Y Sui, X Zhao, S Zhang, X Yu, S Zhao, L Zhang Pattern Recognition 48 (9), 2872-2884, 2015 | 14 | 2015 |
| View-invariant gait recognition method by three-dimensional convolutional neural network W Xing, Y Li, S Zhang Journal of electronic imaging 27 (1), 013010, 2018 | 12 | 2018 |
| 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 | 11 | 2020 |
Xin YuPhD, The University of Technology Sydney (UTS)Verified email at uts.edu.au
