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 | 1553 | 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 | 837 | 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 | 218 | 2021 |
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 | 184 | 2017 |
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 | 169 | 2019 |
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 | 169 | 2016 |
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 | 125 | 2019 |
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 | 101 | 2019 |
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 | 91 | 2022 |
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 | 90 | 2016 |
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 | 81 | 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 | 81 | 2017 |
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 | 79 | 2018 |
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 | 73 | 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 | 70 | 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 | 57 | 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 | 53 | 2018 |
Multiple object tracking by flowing and fusing J Zhang, S Zhou, X Chang, F Wan, J Wang, Y Wu, D Huang arXiv preprint arXiv:2001.11180, 2020 | 45 | 2020 |
Meta pairwise relationship distillation for unsupervised person re-identification H Ji, L Wang, S Zhou, W Tang, N Zheng, G Hua Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 42 | 2021 |
Memory-augmented appearance-motion network for video anomaly detection L Wang, J Tian, S Zhou, H Shi, G Hua Pattern Recognition 138, 109335, 2023 | 40 | 2023 |