| Improving Person Re-identification by Attribute and Identity Learning Y Lin, L Zheng, Z Zheng, Y Wu, Z Hu, C Yan, Y Yang Pattern Recognition 95, 151-161, 2019 | 957 | 2019 |
| A bottom-up clustering approach to unsupervised person re-identification Y Lin, X Dong, L Zheng, Y Yan, Y Yang Proceedings of the AAAI conference on artificial intelligence 33 (01), 8738-8745, 2019 | 589 | 2019 |
| Exploit the unknown gradually: One-shot video-based person re-identification by stepwise learning Y Wu, Y Lin, X Dong, Y Yan, W Ouyang, Y Yang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 436 | 2018 |
| Unsupervised person re-identification via softened similarity learning Y Lin, L Xie, Y Wu, C Yan, Q Tian Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 320 | 2020 |
| Progressive learning for person re-identification with one example Y Wu, Y Lin, X Dong, Y Yan, W Bian, Y Yang IEEE Transactions on Image Processing 28 (6), 2872-2881, 2019 | 230 | 2019 |
| Unsupervised person re-identification via cross-camera similarity exploration Y Lin, Y Wu, C Yan, M Xu, Y Yang IEEE Transactions on Image Processing 29, 5481-5490, 2020 | 88 | 2020 |
| Unsupervised person re-identification with stochastic training strategy T Liu, Y Lin, B Du IEEE Transactions on Image Processing 31, 4240-4250, 2022 | 29 | 2022 |
| Bayesian query expansion for multi-camera person re-identification Y Lin, Z Zheng, H Zhang, C Gao, Y Yang Pattern Recognition Letters 130, 284-292, 2020 | 16 | 2020 |
| Mixsiam: a mixture-based approach to self-supervised representation learning X Guo, T Zhao, Y Lin, B Du arXiv preprint arXiv:2111.02679, 2021 | 9 | 2021 |
| Re-identification= retrieval+ verification: back to essence and forward with a new metric Z Wang, X Yuan, T Yamasaki, Y Lin, X Xu, W Zeng arXiv preprint arXiv:2011.11506, 2020 | 9 | 2020 |
| Visible–infrared person re-identification via patch-mixed cross-modality learning Z Qian, Y Lin, B Du Pattern Recognition 157, 110873, 2025 | 7 | 2025 |
| Dual-regularization complementary learning for image classification L Ge, M Gong, Y Lin, B Du 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 4 | 2021 |
| Revisit weakly-supervised audio-visual video parsing from the language perspective Y Fan, Y Wu, B Du, Y Lin Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Improving Bird's Eye View Semantic Segmentation by Task Decomposition T Zhao, Y Chen, Y Wu, T Liu, B Du, P Xiao, S Qiu, H Yang, G Li, Y Yang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 3 | 2024 |
| Privacy-protected Person Re-identification via Virtual Samples Y Lin, X Guo, Z Wang, B Du IEEE Transactions on Information Forensics and Security, 2023 | 3 | 2023 |
| Reliable Cross-camera Learning in Random Camera Person Re-identification Z Liu, Y Lin, T Liu, B Du IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 2 | 2023 |
| MixIR: Mixing Input and Representations for Contrastive Learning T Zhao, X Guo, Y Lin, B Du IEEE Transactions on Neural Networks and Learning Systems, 2024 | | 2024 |
| MAC: A Benchmark for Multiple Attributes Compositional Zero-Shot Learning S Xu, S Wang, X Hu, Y Lin, B Du, Y Wu arXiv preprint arXiv:2406.12757, 2024 | | 2024 |
| Promote knowledge mining towards open-world semi-supervised learning T Zhao, Y Lin, Y Wu, B Du Pattern Recognition 149, 110259, 2024 | | 2024 |
| Visual Imitation Learning with Calibrated Contrastive Representation Y Wang, L Tao, B Du, Y Lin, C Xu arXiv preprint arXiv:2401.11396, 2024 | | 2024 |
Yu Wu (武宇)Professor, Wuhan UniversityGeverifieerd e-mailadres voor whu.edu.cn
