| Person re-identification by multi-channel parts-based cnn with improved triplet loss function D Cheng, Y Gong, S Zhou, J Wang, N Zheng Proceedings of the iEEE conference on computer vision and pattern …, 2016 | 1609 | 2016 |
| Meta-weight-net: Learning an explicit mapping for sample weighting J Shu, Q Xie, L Yi, Q Zhao, S Zhou, Z Xu, D Meng Advances in neural information processing systems 32, 2019 | 955 | 2019 |
| SGCN: Sparse graph convolution network for pedestrian trajectory prediction L Shi, L Wang, C Long, S Zhou, M Zhou, Z Niu, G Hua Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 295 | 2021 |
| Person-in-WiFi: Fine-grained person perception using WiFi F Wang, S Zhou, S Panev, J Han, D Huang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 199 | 2019 |
| Point to set similarity based deep feature learning for person re-identification S Zhou, J Wang, J Wang, Y Gong, N Zheng Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 189 | 2017 |
| Active contour model based on local and global intensity information for medical image segmentation S Zhou, J Wang, S Zhang, Y Liang, Y Gong Neurocomputing 186, 107-118, 2016 | 179 | 2016 |
| Transvpr: Transformer-based place recognition with multi-level attention aggregation R Wang, Y Shen, W Zuo, S Zhou, N Zheng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 138 | 2022 |
| Discriminative feature learning with consistent attention regularization for person re-identification S Zhou, F Wang, Z Huang, J Wang Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 130 | 2019 |
| Motiontrack: Learning robust short-term and long-term motions for multi-object tracking Z Qin, S Zhou, L Wang, J Duan, G Hua, W Tang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 111 | 2023 |
| Semi-supervised person re-identification using multi-view clustering X Xin, J Wang, R Xie, S Zhou, W Huang, N Zheng Pattern Recognition 88, 285-297, 2019 | 108 | 2019 |
| Incorporating image priors with deep convolutional neural networks for image super-resolution Y Liang, J Wang, S Zhou, Y Gong, N Zheng Neurocomputing 194, 340-347, 2016 | 95 | 2016 |
| An adaptive-scale active contour model for inhomogeneous image segmentation and bias field estimation Q Cai, H Liu, S Zhou, J Sun, J Li Pattern Recognition 82, 79-93, 2018 | 85 | 2018 |
| Deep self-paced learning for person re-identification S Zhou, J Wang, D Meng, X Xin, Y Li, Y Gong, N Zheng Pattern Recognition 76, 739-751, 2018 | 85 | 2018 |
| Large margin learning in set-to-set similarity comparison for person reidentification S Zhou, J Wang, R Shi, Q Hou, Y Gong, N Zheng IEEE Transactions on Multimedia 20 (3), 593-604, 2017 | 84 | 2017 |
| Discriminative feature learning with foreground attention for person re-identification S Zhou, J Wang, D Meng, Y Liang, Y Gong, N Zheng IEEE Transactions on Image Processing 28 (9), 4671-4684, 2019 | 74 | 2019 |
| Correntropy-based level set method for medical image segmentation and bias correction S Zhou, J Wang, M Zhang, Q Cai, Y Gong Neurocomputing 234, 216-229, 2017 | 74 | 2017 |
| Memory-augmented appearance-motion network for video anomaly detection L Wang, J Tian, S Zhou, H Shi, G Hua Pattern Recognition 138, 109335, 2023 | 64 | 2023 |
| Trajectory unified transformer for pedestrian trajectory prediction L Shi, L Wang, S Zhou, G Hua Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 56 | 2023 |
| Deep ranking model by large adaptive margin learning for person re-identification J Wang, S Zhou, J Wang, Q Hou Pattern Recognition 74, 241-252, 2018 | 55 | 2018 |
| Sparse self-attention transformer for image inpainting W Huang, Y Deng, S Hui, Y Wu, S Zhou, J Wang Pattern Recognition 145, 109897, 2024 | 53 | 2024 |
Jinjun WangXian Jiaotong University, ChinaZweryfikowany adres z ieee.org