Luojun Lin

According to our database, Luojun Lin authored at least 35 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Better Together: Data-Free Multi-Student Coevolved Distillation.

Weijie Chen, Yunyi Xuan, Shicai Yang, Di Xie, Luojun Lin, Yueting Zhuang

Knowl. Based Syst., January, 2024

Semi-supervised domain generalization with evolving intermediate domain.

Luojun Lin, Han Xie, Zhishu Sun, Weijie Chen, Wenxi Liu, Yuanlong Yu, Lei Zhang

Pattern Recognit., 2024

You only label once: A self-adaptive clustering-based method for source-free active domain adaptation.

Zhishu Sun, Luojun Lin, Yuanlong Yu

IET Image Process., 2024

Dynamic Attentive Convolution for Facial Beauty Prediction.

Zhishu Sun, Zilong Xiao, Yuanlong Yu, Luojun Lin

IEICE Trans. Inf. Syst., 2024

Learning feature alignment across attribute domains for improving facial beauty prediction.

Zhishu Sun, Luojun Lin, Yuanlong Yu, Lianwen Jin

Expert Syst. Appl., 2024

Slow-Fast Adaptation for Source-Free Object Detection.

Luojun Lin, Qipeng Liu, Xiangwei Zheng, Zheng Lin

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

No-Reference Segmentation Annotation Quality Assessment.

Zheng Lin, Zheng-Peng Duan, Xuying Zhang, Luojun Lin

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

MEAT: Median-Ensemble Adversarial Training for Improving Robustness and Generalization.

Zhaozhe Hu, Jia-Li Yin, Bin Chen, Luojun Lin, Bo-Hao Chen, Ximeng Liu

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

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

CoRR, 2023

Distilling Vision-Language Foundation Models: A Data-Free Approach via Prompt Diversification.

Yunyi Xuan, Weijie Chen, Shicai Yang, Di Xie, Luojun Lin, Yueting Zhuang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

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

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Parameter Exchange for Robust Dynamic Domain Generalization.

Luojun Lin, Zhifeng Shen, Zhishu Sun, Yuanlong Yu, Lei Zhang, Weijie Chen

Proceedings of the 31st ACM International Conference on Multimedia, 2023

A Multiple Prediction Mechanisms Ensemble for Complex Remote Sensing Scenes.

Qifeng Lin, Luojun Lin, Yuanlong Yu, Gang Fu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Adapt then Generalize: A Simple Two-Stage Framework for Semi-Supervised Domain Generalization.

Han Xie, Zhifeng Shen, Shicai Yang, Weijie Chen, Luojun Lin

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Run and Chase: Towards Accurate Source-Free Domain Adaptive Object Detection.

Luojun Lin, Zhifeng Yang, Qipeng Liu, Yuanlong Yu, Qifeng Lin

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Unsupervised Prompt Tuning for Text-Driven Object Detection.

Weizhen He, Weijie Chen, Binbin Chen, Shicai Yang, Di Xie, Luojun Lin, Donglian Qi, Yueting Zhuang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Periodically Exchange Teacher-Student for Source-Free Object Detection.

Qipeng Liu, Luojun Lin, Zhifeng Shen, Zhifeng Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Customized Automatic Face Beautification.

Wang Chen, Peizhen Chen, Weijie Chen, Luojun Lin

Proceedings of the IEEE International Conference on Acoustics, 2023

FBPFormer: Dynamic Convolutional Transformer for Global-Local-Contexual Facial Beauty Prediction.

Qipeng Liu, Luojun Lin, Zhifeng Shen, Yuanlong Yu

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

Regression Guided by Relative Ranking Using Convolutional Neural Network (R$^3$3CNN) for Facial Beauty Prediction.

Luojun Lin, Lingyu Liang, Lianwen Jin

IEEE Trans. Affect. Comput., 2022

SynSig2Vec: Forgery-Free Learning of Dynamic Signature Representations by Sigma Lognormal-Based Synthesis and 1D CNN.

Songxuan Lai, Lianwen Jin, Yecheng Zhu, Zhe Li, Luojun Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Self-Supervised Noisy Label Learning for Source-Free Unsupervised Domain Adaptation.

Weijie Chen, Luojun Lin, Shicai Yang, Di Xie, Shiliang Pu, Yueting Zhuang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Dynamic Domain Generalization.

Zhishu Sun, Zhifeng Shen, Luojun Lin, Yuanlong Yu, Zhifeng Yang, Shicai Yang, Weijie Chen

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Slimmable Domain Adaptation.

Rang Meng, Weijie Chen, Shicai Yang, Jie Song, Luojun Lin, Di Xie, Shiliang Pu, Xinchao Wang, Mingli Song, Yueting Zhuang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Graph Convolutional Neural Network for Human Action Recognition: A Comprehensive Survey.

Tasweer Ahmad, Lianwen Jin, Xin Zhang, Songxuan Lai, Guozhi Tang, Luojun Lin

IEEE Trans. Artif. Intell., 2021

Skeleton-based action recognition using sparse spatio-temporal GCN with edge effective resistance.

Tasweer Ahmad, Lianwen Jin, Luojun Lin, Guozhi Tang

Neurocomputing, 2021

Semi-Supervised Domain Generalization in Real World: New Benchmark and Strong Baseline.

Luojun Lin, Han Xie, Zhifeng Yang, Zhishu Sun, Wenxi Liu, Yuanlong Yu, Weijie Chen, Shicai Yang, Di Xie

CoRR, 2021

Self-Supervised Noisy Label Learning for Source-Free Unsupervised Domain Adaptation.

Weijie Chen, Luojun Lin, Shicai Yang, Di Xie, Shiliang Pu, Yueting Zhuang, Wenqi Ren

CoRR, 2021

2020

Action Recognition Using Attention-Joints Graph Convolutional Neural Networks.

Tasweer Ahmad, Huiyun Mao, Luojun Lin, Guozhi Tang

IEEE Access, 2020

Unsupervised Image Classification for Deep Representation Learning.

Weijie Chen, Shiliang Pu, Di Xie, Shicai Yang, Yilu Guo, Luojun Lin

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-World Verification.

Songxuan Lai, Lianwen Jin, Luojun Lin, Yecheng Zhu, Huiyun Mao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Attribute-Aware Convolutional Neural Networks for Facial Beauty Prediction.

Luojun Lin, Lingyu Liang, Lianwen Jin, Weijie Chen

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

R²-ResNeXt: A ResNeXt-Based Regression Model with Relative Ranking for Facial Beauty Prediction.

Luojun Lin, Lingyu Liang, Lianwen Jin

Proceedings of the 24th International Conference on Pattern Recognition, 2018

SCUT-FBP5500: A Diverse Benchmark Dataset for Multi-Paradigm Facial Beauty Prediction.

Lingyu Liang, Luojun Lin, Lianwen Jin, Duorui Xie, Mengru Li

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Region-aware scattering convolution networks for facial beauty prediction.

Lingyu Liang, Duorui Xie, Lianwen Jin, Jie Xu, Mengru Li, Luojun Lin

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017