| Vm-unet: Vision mamba unet for medical image segmentation J Ruan, J Li, S Xiang arXiv preprint arXiv:2402.02491, 2024 | 270 | 2024 |
| MALUNet: A multi-attention and light-weight unet for skin lesion segmentation J Ruan, S Xiang, M Xie, T Liu, Y Fu 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 168 | 2022 |
| Unsupervised domain adaptation through synthesis for person re-identification S Xiang, Y Fu, G You, T Liu 2020 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020 | 52 | 2020 |
| Less is more: Learning from synthetic data with fine-grained attributes for person re-identification S Xiang, D Qian, M Guan, B Yan, T Liu, Y Fu, G You ACM Transactions on Multimedia Computing, Communications and Applications 19 …, 2023 | 31 | 2023 |
| Learning from self-discrepancy via multiple co-teaching for cross-domain person re-identification S Xiang, Y Fu, M Guan, T Liu Machine Learning 112 (6), 1923-1940, 2023 | 24 | 2023 |
| Rethinking illumination for person re-identification: A unified view S Xiang, G You, L Li, M Guan, T Liu, D Qian, Y Fu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 23 | 2022 |
| MEW-UNet: Multi-axis representation learning in frequency domain for medical image segmentation J Ruan, M Xie, S Xiang, T Liu, Y Fu arXiv preprint arXiv:2210.14007, 2022 | 17 | 2022 |
| Taking a closer look at synthesis: Fine-grained attribute analysis for person re-identification S Xiang, Y Fu, G You, T Liu ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 17 | 2021 |
| Learning robust visual-semantic embedding for generalizable person re-identification S Xiang, J Gao, M Guan, J Ruan, C Zhou, T Liu, D Qian, Y Fu arXiv preprint arXiv:2304.09498, 2023 | 16 | 2023 |
| Multi-level feature learning with attention for person re-identification S Xiang, Y Fu, H Chen, W Ran, T Liu Multimedia Tools and Applications 79, 32079-32093, 2020 | 16 | 2020 |
| Deep multimodal representation learning for generalizable person re-identification S Xiang, H Chen, W Ran, Z Yu, T Liu, D Qian, Y Fu Machine Learning 113 (4), 1921-1939, 2024 | 14 | 2024 |
| Rethinking person re-identification via semantic-based pretraining S Xiang, D Qian, J Gao, Z Zhang, T Liu, Y Fu ACM Transactions on Multimedia Computing, Communications and Applications 20 …, 2023 | 14 | 2023 |
| Unsupervised person re-identification by hierarchical cluster and domain transfer S Xiang, Y Fu, M Xie, Z Yu, T Liu Multimedia Tools and Applications 79, 19769-19786, 2020 | 14 | 2020 |
| LAMM: Label Alignment for Multi-Modal Prompt Learning J Gao, J Ruan, S Xiang, Z Yu, K Ji, M Xie, T Liu, Y Fu Proceedings of the AAAI Conference on Artificial Intelligence 38 (3), 1815-1823, 2024 | 12 | 2024 |
| Attention based facial expression manipulation F Wang, S Xiang, T Liu, Y Fu 2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 1-6, 2021 | 9 | 2021 |
| Deep learning-based PET/MR radiomics for the classification of annualized relapse rate in multiple sclerosis S Du, C Yuan, Q Zhou, X Huang, H Meng, M Chen, H Wang, Q Huang, ... Multiple Sclerosis and Related Disorders 75, 104750, 2023 | 7 | 2023 |
| Learning multi-axis representation in frequency domain for medical image segmentation J Ruan, J Gao, M Xie, S Xiang Machine Learning 114 (1), 10, 2025 | 6 | 2025 |
| Progressive learning with style transfer for distant domain adaptation S Xiang, Y Fu, T Liu IET Image Processing 14 (14), 3527-3535, 2020 | 6 | 2020 |
| Colo-scrl: Self-supervised contrastive representation learning for colonoscopic video retrieval Q Chen, S Cai, C Cai, Z Yu, D Qian, S Xiang 2023 IEEE International Conference on Multimedia and Expo (ICME), 1056-1061, 2023 | 5 | 2023 |
| AutoKary2022: A Large-Scale Densely Annotated Dataset for Chromosome Instance Segmentation D You, P Xia, Q Chen, M Wu, S Xiang, J Wang 2023 IEEE International Conference on Multimedia and Expo (ICME), 1577-1582, 2023 | 5 | 2023 |
Ting LiuShanghai Jiao Tong UniversityDirección de correo verificada de sjtu.edu.cn
