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YuanPeng Tu
YuanPeng Tu
在 connect.hku.hk 的电子邮件经过验证 - 首页
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引用次数
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Salience-guided iterative asymmetric mutual hashing for fast person re-identification
C Zhao, Y Tu, Z Lai, F Shen, HT Shen, D Miao
IEEE Transactions on Image Processing 30, 7776-7789, 2021
242021
Learning from noisy labels with decoupled meta label purifier
Y Tu, B Zhang, Y Li, L Liu, J Li, Y Wang, C Wang, CR Zhao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
82023
Content-adaptive auto-occlusion network for occluded person re-identification
C Zhao, Z Qu, X Jiang, Y Tu, X Bai
IEEE Transactions on Image Processing, 2023
62023
Learning with noisy labels via self-supervised adversarial noisy masking
Y Tu, B Zhang, Y Li, L Liu, J Li, J Zhang, Y Wang, C Wang, CR Zhao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
62023
智能视频监控关键技术: 行人再识别研究综述
赵才荣, 齐鼎, 窦曙光, 涂远鹏, 孙添力, 柏松, 蒋忻洋, 白翔, 苗夺谦
中国科学: 信息科学 51 (12), 1979-2015, 2021
62021
Learning from noisy labels with coarse-to-fine sample credibility modeling
B Zhang, Y Li, Y Tu, J Peng, Y Wang, C Wu, Y Xiao, C Zhao
European Conference on Computer Vision, 21-38, 2022
42022
Domain camera adaptation and collaborative multiple feature clustering for unsupervised person re-id
Y Tu
Proceedings of the 3rd International Workshop on Human-Centric Multimedia …, 2022
32022
DROP: Decouple Re-Identification and Human Parsing with Task-specific Features for Occluded Person Re-identification
S Dou, X Jiang, Y Tu, J Gao, Z Qu, Q Zhao, C Zhao
arXiv preprint arXiv:2401.18032, 2024
12024
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes
Y Tu, Y Li, B Zhang, L Liu, J Zhang, Y Wang, CR Zhao
Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24), 2023
12023
Memory Consistency Guided Divide-and-Conquer Learning for Generalized Category Discovery
Y Tu, Z Zhong, Y Li, H Zhao
arXiv preprint arXiv:2401.13325, 2024
2024
Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection
Y Tu, B Zhang, L Liu, Y Li, C Xu, J Zhang, Y Wang, C Wang, CR Zhao
arXiv preprint arXiv:2401.03145, 2024
2024
Robust Learning with Decoupled Meta Label Purifier
Y Tu, B Zhang, Y Li, L Liu, J Li, Y Wang, C Wang, CR Zhao
2022
Robust Learning with Adaptive Sample Credibility Modeling
B Zhang, Y Li, Y Tu, Y Wang, Y Xiao, CR Zhao, C Wang
2021
Learning from Noisy Labels with Decoupled Meta Label Purifier Supplementary Material
Y Tu, B Zhang, Y Li, L Liu, J Li, Y Wang, C Wang, CR Zhao
Learning with Noisy labels via Self-supervised Adversarial Noisy Masking Supplementary Material
Y Tu, B Zhang, Y Li, L Liu, J Li, Y Wang, C Wang, CR Zhao
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