蔡远征

姓名：蔡远征

职称：讲师

职务：无

学历：博士

电子邮箱：yuanzheng_cai@mju.edu.cn

   教育经历：

2006年9月-2010年7月 福建师范大学,软件工程专业，本科

2010年9月-2012年6月 云南大学,计算机技术专业，硕士研究生

2012年9月-2016年9月 厦门大学,人工智能基础专业，博士研究生

工作经历：

2016年11月-至今 taptap点点入口计算机与大数据学院，讲师

研究方向：

计算机视觉:目标检测，图像检索、图像分割、医学图像处理

荣誉获奖：

taptap点点入口第三届教师教学能力大赛三等奖

主持项目：

1.福建省自然科学基金面上项目，面向自然环境下水体漂浮污染物检测算法研究（2020年-2023年）。

2.福建教育厅项目，基于图像检索的场景定位方法研究（2017年-2020年）。

3.taptap点点入口校级课题，引入域自适应与复杂环境约束下的水体漂浮污染物检测算法研究(2020年-2022年)。

4.武夷学院开放课题，面向真实场景与大数据背景下的多任务图像搜索研究（2020年-2021年）

科研成果：

论文

1. Yang Y, Wang T, Li S, Cai Y, et al. Attention inverted feature perturbation for semi-supervised medical image segmentation[J]. Discover Computing, 2026, 29(1): 16.

2. Hu R, Li Z, Wang T, Li S, Cai Y, et al. LCMatch: Layer cross-based semi-supervised learning for remote sensing scene classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2025.

3. Zhang K, Weng J, Cai Y, et al. Mitigating low-frequency bias: Feature recalibration and frequency attention regularization for adversarial robustness[J]. Neural Networks, 2025: 108070.

4. Wang W, Cai Y*, Wang T. SRODET: Semi-Supervised Remote Sensing Object Detection With Dynamic Pseudo-Labeling[J]. IEEE Geoscience and Remote Sensing Letters, 2025.

5．Wang W, Cai Y*, Luo Z, et al. SA3Det: detecting rotated objects via pixel-level attention and adaptive labels assignment[J]. Remote Sensing, 2024, 16(13): 2496.

6． Wu X, Wang T, Cai Y, et al. A multi-stage goal-driven network for pedestrian trajectory prediction[C]//2024 5th International Conference on Computer Vision, Image and Deep Learning (CVIDL). IEEE, 2024: 1039-1046.

7．Wu J, Cai Y*, Wang T, et al. A Foreground Feature Embedding Network for Object Detection in Remote Sensing Images[C]//CCF Conference on Computer Supported Cooperative Work and Social Computing. Singapore: Springer Nature Singapore, 2023: 466-478.

8. Huang Z, Wang T, Cai Y, et al. A Multi-scale Framework for Out-of-Distribution Detection in Dermoscopic Images[C]//International Conference on Machine Learning for Cyber Security. Cham: Springer Nature Switzerland, 2022: 147-159.

9. Wu J, Li Z, Keikhosrokiani P, Cai Y*. Boarding Pass Positioning with Jointly Multi-channel Segmentation and Perspective Transformation Correction[C]//International Conference on Machine Learning for Cyber Security. Cham: Springer Nature Switzerland, 2022: 611-623.

10. Xu T, Chen J*, Li Z, Cai Y*. Escalator passenger posture anomaly detection based on improved SSD model[C]//2022 12th International Conference on Information Technology in Medicine and Education (ITME). IEEE, 2022: 268-272.

11. Liu W, Luo Z, Cai Y, et al. Adversarial unsupervised domain adaptation for 3D semantic segmentation with multi-modal learning[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2021, 176: 211-221.

12. Gu Z, Luo Z, Huang M, Cai Y, et al. A Graph-Convolutional-Network based Prototype Mixing Model for Few-shot Segmentation[C]//2021 11th International Conference on Information Technology in Medicine and Education (ITME). IEEE, 2021: 86-90.

13. 田庆,胡蓉,李佐勇,蔡远征*，余兆钗.基于SE-YOLOv5s的绝缘子检测[J].智能科学与技术学报, 2021, 313):10.DOI:10.11959/j.issn.2096-6652.202132.

14. Yang F, Zhong Z, Luo Z, Cai Y，et al. Joint noise-tolerant learning and meta camera shift adaptation for unsupervised person re-identification[C]//Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2021: 4855-4864.

15. Cai Y, Wang T, Liu W, et al. A robust interclass and intraclass loss function for deep learning based tongue segmentation[J]. Concurrency and Computation: Practice and Experience, 2020, 32(22): e5849.

16. Li L, Luo Z, Zhang M, Cai Y, et al. An iterative transfer learning framework for cross‐domain tongue segmentation[J]. Concurrency and Computation: Practice and Experience, 2020, 32(14): e5714.

17. Wang T, Cai Y*, Liang L, et al. A multi-level approach to waste object segmentation[J]. Sensors, 2020, 20(14): 3816.

18. Wang T, He X, Cai Y, et al. Learning a layout transfer network for context aware object detection[J]. IEEE Transactions on Intelligent Transportation Systems, 2019, 21(10): 4209-4224.

19. Cai Y, Han X. Improved VLAD with Multiple Codebooks and Deep Convolutional Descriptors[C]//2017 4th International Conference on Information Science and Control Engineering (ICISCE). IEEE, 2017: 390-394.

20. Liu W, Zhang M, Luo Z, Cai Y. An ensemble deep learning method for vehicle type classification on visual traffic surveillance sensors[J]. IEEE Access, 2017, 5: 24417-24425.

21. Cai Y, Ji R, Li S. Dynamic programming based optimized product quantization for approximate nearest neighbor search[J]. Neurocomputing, 2016, 217: 110-118.

22. Liu W, Cai Y, Zhang M, et al. Scene background estimation based on temporal median filter with Gaussian filtering[C]//2016 23rd International Conference on Pattern Recognition (ICPR). IEEE, 2016: 132-136.

23. Cai Y, Li S, Cheng Y, et al. Local consistent hierarchical Hough Match for image re-ranking[J]. Journal of Visual Communication and Image Representation, 2016, 37: 32-39.

基于视觉特征的移动搜索系统

主讲课程：

1、计算机视觉

2、数字图像处理

3、机器视觉与应用

4、人工智能导论

5、算法设计与分析

6、数据结构与算法