| Dual pseudo-labels interactive self-training for semi-supervised visible-infrared person re-identification J Shi, Y Zhang, X Yin, Y Xie, Z Zhang, J Fan, Z Shi, Y Qu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 34 | 2023 |
| CLIP-Guided Federated Learning on Heterogeneous and Long-Tailed Data J Shi, S Zheng, X Yin, Y Lu, Y Xie, Y Qu Proceedings of the AAAI Conference on Artificial Intelligence, 2024 | 22 | 2024 |
| Multi-Memory Matching for Unsupervised Visible-Infrared Person Re-Identification J Shi, X Yin, Y Chen, Y Zhang, Z Zhang, Y Xie, Y Qu European Conference on Computer Vision, 2024 | 18 | 2024 |
| Learning commonality, divergence and variety for unsupervised visible-infrared person re-identification J Shi, X Yin, Y Zhang, Y Xie, Y Qu The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 11* | 2024 |
| Robust Pseudo-label Learning with Neighbor Relation for Unsupervised Visible-Infrared Person Re-Identification X Yin, J Shi, Y Zhang, Y Lu, Z Zhang, Y Xie, Y Qu ACM International Conference on Multimedia, 2024 | 6 | 2024 |
| Visible embraces infrared: cross-modality person re-identification with single-modality supervision J Shi, X Yin, D Zhang, Y Qu 2023 China Automation Congress (CAC), 4781-4787, 2023 | 5 | 2023 |
| Exploiting invariance of mining facial landmarks J Shi, Z Gao, H Liu, Z Yu, F Li Proceedings of the 29th ACM International Conference on Multimedia, 4380-4389, 2021 | 1 | 2021 |
Yanyun QuXiamen UniversityVerifisert e-postadresse på xmu.edu.cn