Luojun Lin (林洛君)

Assistant Professor Cognitive Systems and Information Processing Group, Department of Computer Science, Fuzhou University, No.2 Wulong River North Road, University Town, Fuzhou, Fujian Postcode: 350108 Email: ljlin@fzu.edu.cn OR linluojun2009@126.com [Google Scholar] [GitHub] [My Group GitHub]

About me

I am currently an assistant professor at Fuzhou University. I've received the bachelor degree from Yunnan University in 2014, and the PhD degree (supervised by Prof. Lianwen Jin) from South China University of Technology in 2020. I joined the Department of Computer Science of Fuzhou University in 2020.

My research area is deep learning and computer vision, with special interests in self-supervised learning, unsupervised domain adaptation, domain generalization, and face affective computing.

Semi-Supervised Domain Generalization with Evolving Intermediate Domain Luojun Lin, Han Xie, Zhishu Sun, Wenxi Liu, Yuanlong Yu, Weijie Chen, Lei Zhang Arxiv. 2022 Paper |  Code |

Adapt Anything: Tailor Any Image Classifiers across Domains And Categories Using Text-to-Image Diffusion Models Weijie Chen, Haoyu Wang, Shicai Yang, Lei Zhang, Wei Wei, Yanning Zhang, Luojun Lin*, Di Xie*, Yueting Zhuang* Arxiv. 2023 Paper |

Parameter Exchange for Robust Dynamic Domain Generalization Luojun Lin, Zhifeng Shen, Zhishu Sun, Yuanlong Yu, Lei Zhang, Weijie Chen ACM Multimedia (MM), 2023. (CCF-A conference) Paper |  Code |

MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty Prediction Luojun Lin, Zhifeng Shen, Jia-Li Yin, Qipeng Liu, Yuanlong Yu, Weijie Chen ACM Multimedia (MM), 2023. (CCF-A conference) Paper |  Code |

A Multiple Prediction Mechanisms Ensemble for Complex Remote Sensing Scenes Qifeng Lin+, Luojun Lin+, Yuanlong Yu, Gang Fu (+ co-first authors) ACM Multimedia (MM), 2023. (CCF-A conference) Paper |

Distilling Vision-Language Foundation Models: A Data-Free Approach via Prompt Diversification Yunyi Xuan, Weijie Chen, Shicai Yang, Di Xie, Luojun Lin, Yueting Zhuang ACM Multimedia (MM), 2023. (CCF-A conference) Paper |

Periodically Exchange Teacher-Student for Source-Free Object Detection Qipeng Liu, Luojun Lin*, Zhifeng Shen, Zhifeng Yang International Conference on Computer Vision (ICCV), 2023. (CCF-A conference) Paper |

Better Together: Data-Free Multi-Student Coevolved Distillation Weijie Chen, Yunyi Xuan, Shicai Yang, Di Xie, Luojun Lin*, Yueting Zhuang* Knowledge-Based Systems, 2023. (JCR Q1 journal) Paper |

Unsupervised Prompt Tuning for Text-Driven Object Detection Weizhen He, Weijie Chen, Binbin Chen, Shicai Yang, Di Xie, Luojun Lin, Donglian Qi, Yueting Zhuang International Conference on Computer Vision (ICCV), 2023. (CCF-A conference) Paper |

FBPFormer: Dynamic Convolutional Transformer for Global-Local-Contexual Facial Beauty Prediction Qipeng Liu, Luojun Lin*, Zhifeng Shen, Yuanlong Yu International Conference on Artificial Neural Networks, 2023. (CCF-C conference) Paper |

Run and Chase: Towards Accurate Source-Free Domain Adaptive Object Detection Luojun Lin, Zhifeng Yang, Qipeng Liu, Yuanlong Yu*, Qifeng Lin* IEEE International Conference on Multimedia & Expo (ICME) , 2023. (CCF-B conference) Paper |

Adapt then Generalize: A Simple Two-Stage Framework for Semi-Supervised Domain Generalization Han Xie, Zhifeng Shen, Shicai Yang, Weijie Chen, Luojun Lin* IEEE International Conference on Multimedia & Expo (ICME), 2023. (CCF-B conference) Paper |

Customized Face Beautification Wang Chen, PeiZhen Chen, Weijie Chen, Luojun Lin* IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2023. (CCF-B conference) Paper |

Dynamic Domain Generalization Zhishu Sun, Zhifeng Shen, Luojun Lin*, Yuanlong Yu, Zhifeng Yang, Shicai Yang, Weijie Chen International Joint Conference on Artificial Intelligence (IJCAI), 2022. (CCF-A conference) Paper |  Code |

Self-Supervised Noisy Label Learning for Source-Free Unsupervised Domain Adaptation Weijie Chen+, Luojun Lin+, Shicai Yang, Di Xie, Shiliang Pu, Yueting Zhuang (+ co-first authors) IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022. (CCF-C conference) Paper |  Code |

Slimmable Domain Adaptation Rang Meng, Weijie Chen, Shicai Yang, Jie Song, Luojun Lin, Di Xie, Shiliang Pu, Xinchao Wang, Mingli Song, Yueting Zhuang Computer Vision and Pattern Recognition (CVPR), 2022. (CCF-A conference) Paper |  Code |  Supplementary |

SynSig2Vec: Forgery-Free Learning of Dynamic Signature Representations by Sigma Lognormal-Based Synthesis and 1D CNN Songxuan Lai , Lianwen Jin , Yecheng Zhu, Zhe Li, and Luojun Lin IEEE Transactions on Pattern Analysis and Machine Learning (TPAMI), 2021. (CCF-A journal) Paper |  Code |

SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-World Verification Songxuan Lai, Lianwen Jin, Luojun Lin, Yecheng Zhu, Huiyun Mao Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020. (CCF-A conference) Paper |

Unsupervised Image Classification for Deep Representation Learning Weijie Chen, Shiliang Pu, Di Xie, Shicai Yang, Yilu Guo, Luojun Lin European Conference on Computer Vision (ECCV), 2020. (CCF-B conference) Paper |  Code |

Attribute-Aware Convolutional Neural Networks for Facial Beauty Prediction. Luojun Lin, Lingyu Liang, Lianwen Jin, Weijie Chen International Joint Conference on Artificial Intelligence (IJCAI), 2019. (CCF-A conference) Paper |  Code |

Regression Guided by Relative Ranking Using Convolutional Neural Network (R3CNN) for Facial Beauty Prediction Luojun Lin, Lingyu Liang, Lianwen Jin IEEE Transactions on Affective Computing (TAFFC), 2019. (CCF-B journal) Paper |  Code |

R2-ResNeXt: A ResNeXt-Based Regression Model with Relative Ranking for Facial Beauty Prediction Luojun Lin, Lingyu Liang, Lianwen Jin International Conference on Pattern Recognition (ICPR), 2018. (CCF-C conference) Paper |  Code |

SCUT-FBP5500: A Diverse Benchmark Dataset for Multi-Paradigm Facial Beauty Prediction Lingyu Liang; Luojun Lin; Lianwen Jin; Duorui Xie; Mengru Li International Conference on Pattern Recognition (ICPR), 2018. (CCF-C conference) Paper |  Dataset |