Yuanpeng Tu



I am a first-year PhD student in CVAIL Lab of department of computer science, The University of Hong Kong fortunately supervised by Prof.Hengshuang Zhao.


Prior to this, I received my Master and Bachelor degree from Tongji University fortunately supervised by Prof.Cairong Zhao.


My current research mainly focuses on robust learning (i.e., noisy labels), open-world/zero-shot perception, and label-efficient learning. Feel free to shoot an email to discuss with me if you have any idea in these areas.


Email  /  Google Scholar  /  Github




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News


Publications


Self-supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes
Yuanpeng Tu*, Yuxi Li*, Boshen Zhang*, Liang Liu, Jiangning Zhang, Yabiao Wang, Cai Rong Zhao.
AAAI 2024
PDF | Code |

Learning from noisy labels with decoupled meta label purifier
Yuanpeng Tu*, Boshen Zhang*, Yuxi Li*, Liang Liu, Jian Li, Yabiao Wang, Chengjie Wang, Cai Rong Zhao.
CVPR 2023
PDF | Video | Code |

Learning with Noisy labels via Self-supervised Adversarial Noisy Masking
Yuanpeng Tu*, Boshen Zhang*, Yuxi Li*, Liang Liu, Jian Li, Yabiao Wang, Chengjie Wang, Cairong Zhao.
CVPR 2023
PDF | Video | Code |

Learning from noisy labels with coarse-to-fine sample credibility modeling
Boshen Zhang*, Yuxi Li*, Yuanpeng Tu*, Jinlong Peng, Yabiao Wang, Cunlin Wu, Yang Xiao, Cairong Zhao
ECCV 2022 Workshop
PDF |

Domain Camera Adaptation and Collaborative Multiple Feature Clustering for Unsupervised Person Re-ID
Yuanpeng Tu
ACMMM 2022 Workshop
PDF |

Salience-guided iterative asymmetric mutual hashing for fast person re-identification
Cairong Zhao*, Yuanpeng Tu*, Zhihui Lai, Fumin Shen, Heng Tao Shen, Duoqian Miao
TIP 2021
PDF | Code |

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