袁笛

个人信息:Personal Information

讲师(高校) 研究生导师

主要任职:华山准聘副教授

性别:男

毕业院校:哈尔滨工业大学

学历:博士研究生毕业

学位:工学博士学位

在职信息:在岗

所在单位:广州研究院

入职时间:2021-11-26

学科:计算机应用技术

办公地点:广州市黄埔区海丝知识中心B7-512

联系方式:18664910924

电子邮箱:

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个人简介:Personal Profile

袁笛 (Di Yuan),西安电子科技大学广州研究院华山准聘副教授,硕士研究生导师IEEE、ACM、CCF、CSIG、CAAI会员,石光明教授广州研究院团队成员。2019年9月至2021年3月在澳大利亚莫纳什大学 (Monash University)进行博士联合培养 (合作导师:Prof.  Xiaojun Chang),2021年11月在哈尔滨工业大学(深圳)计算机科学与技术学院获得工学博士学位(导师:何震宇教授)。目前主要研究方向为计算机视觉、图像处理、目标跟踪。曾参与国家自然基金面上、广东省自然科学基金面上、深圳市学科布局、深圳市基础研究等项目。累计发表学术论文20余篇,其中一作论文10余篇,ESI高被引论文2篇,热点论文1篇。同时担任如IEEE Transactions on Image Processing (IEEE TIP)、IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT)、IEEE Transactions on Cybernetics (IEEE TCYB)、IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS)、IEEE Transactions on Aerospace and Electronic Systems (IEEE TAES)、ACM Transactions on Multimedia Computing Communications and Applications (ACM TOMM)、Pattern Recognition、Neural Networks、Computer Vision and Image Understanding、Knowledge-Based Systems、Engineering Applications of Artificial Intelligence、Expert Systems with Applications、IET Computer Vision、IET Image Processing、AAAI、ACAIT等30多种期刊或会议的审稿人。


招生信息:

欢迎对计算机视觉、图像处理、深度学习等研究方向感兴趣的优秀本科生加入,可以通过邮件与我联系:yuandi@xidian.edu.cn。本人可根据学生的个人需求和发展,帮助规划学业。优秀学生可推荐到国内、国际一流课题组进行访问、交流、继续深造。

招生专业

计算机科学与技术(学术型)、电子信息(专业型:085404计算机技术 & 085410人工智能)


科研项目:

国家自然科学基金青年项目(主持

广州市基础研究计划基础与应用基础研究项目(主持

中央高校基本科研业务费专项资金(主持)

国家自然科学基金面上项目:基于表征学习的红外目标跟踪方法研究(参与)

国家自然科学基金面上项目:基于多视角与多示例学习的目标跟踪方法研究(参与)

深圳市学科布局项目:面向智能机器人的红外视觉跟踪方法研究(参与)

深圳市基础研究项目:面向增强现实的视觉目标跟踪方法(参与)

深圳市基础研究项目:面向虚拟现实的平面目标跟踪方法(参与)

广东省自然科学基金面上项目:基于分数阶对流扩散方程的地下水模型参数反演研究(参与)


待发表论文:

1. Di Yuan, Xiaojun Chang, Yi Yang, Qiao Liu, Dehua Wang and Zhenyu He. Active Learning for Deep Visual Tracking, In Peer Review, 2021.


发表论文:

29. Di Yuan, Xiaojun Chang, Po-Yao Huang, Qiao Liu and Zhenyu He. Self-supervised deep correlation tracking [J]. IEEE Transactions on Image Processing, 2021, vol. 30, pp. 976-985. (SCI, CCF-A, JCR-Q1, 2020 IF=10.856,ESI高被引,热点论文)

28. Di Yuan, Xiaojun Chang, Zhihui Li and Zhenyu He. Learning adaptive spatial-temporal context-aware correlation filters for UAV tracking [J]. ACM Transactions on Multimedia Computing, Communications and Applications, 2022, vol. 18, no.3Article No.: 70, pp 1–18. (SCI, CCF-B, JCR-Q1, 2020 IF= 3.144)

27. Di Yuan, Xiu Shu, Qiao Liu, Xinming Zhang and Zhenyu He. Robust Thermal infrared tracking via an adaptively multi-feature fusion model [J]. Neural Computing and Applications,accepted, 2022. (SCI, CCF-C, JCR-Q2, 2021 IF= 5.102)

26. Di Yuan, Xiu Shu, Qiao Liu and Zhenyu He. Structural target-aware model for thermal infrared tracking [J]. Neurocomputing, 2022,vol. 491,  pp.44-56. (SCI, CCF-C, JCR-Q1, 2020 IF= 5.719)

25. Di Yuan, Xiu Shu, Nana Fan, Xiaojun Chang, Qiao Liu and Zhenyu He. Accurate bounding-box regression with distance-IoU loss for visual tracking, Journal of Visual Communication and Image Representation, 2022, vol. 83, p.103428(SCI, CCF-C, JCR-Q2, 2020 IF= 2.678)

24. Di Yuan, Nana Fan and Zhenyu He. Learning target-focusing convolutional regression model for visual object tracking [J]. Knowledge-Based Systems, 2020, vol. 194, p.105526. (SCI, CCF-C, JCR-Q1,2020 IF= 8.038)

23. Di Yuan, Xin Li, Zhenyu He, Qiao Liu and Shuwei Lu. Visual object tracking with adaptive structural convolutional network [J]. Knowledge-Based Systems, 2020, vol. 194, p.105554. (SCI, CCF-C, JCR-Q1,2020 IF= 8.038)

22. Di Yuan, Wei Kang and Zhenyu He. Robust visual tracking with correlation filters and metric learning [J]. Knowledge-Based Systems, 2020, vol. 195, p.105697. (SCI, CCF-C, JCR-Q1,2020 IF= 8.038)

21. Di Yuan, Xiu Shu and Zhenyu He. TRBACF: Learning temporal regularized correlation filters for high performance online visual object tracking [J]. Journal of Visual Communication and Image Representation, 2020, vol. 72, p.102882. (SCI, CCF-C, JCR-Q2, 2020 IF= 2.678)

20. Di Yuan, Xiaohuan Lu, Donghao Li, Yingyi Liang and Xinming Zhang. Particle filter re-detection for visual tracking via correlation filters [J]. Multimedia Tools & Applications, 2019: vol. 78, no.11, pp. 14277–14301. (SCI, CCF-C, JCR-Q2, 2020 IF= 2.757)

19. Di Yuan, Xinming Zhang, Jiaqi Liu and Donghao Li. A multiple feature fused model for visual object tracking via correlation filters [J]. Multimedia Tools & Applications, 2019: vol. 78, no.19, pp. 27271–27290. (SCI, CCF-C, JCR-Q2, 2020 IF= 2.757)

18. Qiao Liu, Di Yuan, Nana Fan, Peng Gao, Xin Li and Zhenyu He. Learning dual-level deep representation for thermal infrared tracking[J]. IEEE Transactions on Multimedia, (Early Access) 2022: 1-14. (SCI, CCF-B, JCR-Q1,2020 IF= 6.513)

17. Bing Liu, Xiaojun Chang, Di Yuan and Yong Yang. HCDC-SRCF tracker: Learning an adaptively multi-feature fuse tracker in spatial regularized correlation filters framework [J]. Knowledge-Based Systems, 2022, vol. 238, p.107913. (SCI, CCF-C, JCR-Q1,2020 IF= 8.038)

16. Qiao Liu, Xin Li, Zhenyu He, Nana Fan, Di Yuan and Hongpeng Wang. Learning deep multi-level similarity for thermal infrared object tracking [J]. IEEE Transactions on Multimedia,2021: vol. 23, pp.2114 - 2126. (SCI, CCF-B, JCR-Q1,2020 IF= 6.513, ESI高被引)

15. Kai Yang, Zhenyu He, Wenjie Pei, Zikun Zhou, Xin Li, Di Yuan and Haijun Zhang. SiamCorners: Siamese corner networks for visual tracking [J]. IEEE Transactions on Multimedia,  2022: vol. 24, pp.1956 - 1967. (SCI, CCF-B, JCR-Q1,2020 IF= 6.513)

14. Xiu Shu, Di Yuan, Qiao Liu and Jiaqi Liu. Adaptive weight part-based convolutional network for person re-identification [J]. Multimedia Tools & Applications, 2020, vol. 79, no.31, pp. 23617-23632. (SCI, CCF-C, JCR-Q2, 2020 IF= 2.757)

13. Jiaqi Liu, Kang Wang, Di Yuan and Jianjun Li. Lower bounds of the average mixture discrepancy for row augmented designs with mixed four-and five-level[J]. Communication in Statistics- Theory and Methods, 2022.(SCI, JCR-Q3, 2020 IF= 0.893)

12. Qiao Liu, Xin Li, Zhenyu He, Chenglong Li, Jun Li, Zikun Zhou, Di Yuan, Jing Li, Kai Yang, Nana Fan and Feng Zheng. LSOTB-TIR: A large-scale high-diversity thermal infrared object tracking benchmark [C]. 28th ACM International Conference on Multimedia, 2020:3847-3856. (EI, CCF-A)

11. Qiao Liu, Xin Li, Zhenyu He, Nana Fan, Di Yuan, Wei Liu and Yongsheng Liang. Multi-task driven feature models for thermal infrared tracking [C]. Thirty-Fourth AAAI Conference on Artifical Intelligence, 2020: 11604-11611. (EI, CCF-A)

10. Di Yuan, Shuwei Lu, Donghao Li and Xinming Zhang. Graph refining via iterative regularization framework [J]. SN Applied Sciences, 2019: vol. 1, no.5, p.387. (EI)

9. Di Yuan and Xinming Zhang. An overview of numerical methods for the first kind Fredholm integral equation [J]. SN Applied Sciences, 2019: vol. 1, no.10, p.1178. (EI)

8. Xinming Zhang, Di Yuan and Chenchen Guan. An improved flower pollination algorithm for parameters inversion of fractional order diffusion equation [J]. Journal of Harbin Institute of Technology, 2018: vol.50, no.10, pp.151-161(EI, in Chinese).

7. Weihua Ou, Di Yuan, Qiao Liu, et al. Object tracking based on online representative sample selection via non-negative least square [J]. Multimedia Tools & Applications, 2018: vol. 77, no.9, pp.10569-10587. (SCI, CCF-C, JCR-Q2, 2020 IF= 2.757)

6. Xinming Zhang and Di Yuan. A niche ant colony algorithm for parameter identification of space fractional order diffusion equation [J]. IAENG International Journal of Applied Mathematics, 2017: vol. 47, no.2, pp.197-208. (EI)

5. Weihua Ou, Di Yuan, Donghao Li, et al. Patch-based visual tracking with online representative sample selection [J]. Journal of Electronic Imaging, 2017:26(3), p.033006. (SCI, JCR-Q4, 2020 IF= 0.945)

4. Di Yuan, Guanglei Zhao, Donghao Li, Zhenyu He and Nan Luo. Visual object tracking based on particle filter re-detection [C]. International Conference on Security, Pattern Analysis, and Cybernetics, (ICSPAC) 2017:7-12. (EI)

3. Di Yuan, Xiaohuan Lu, Donghao Li, Zhenyu He and Nan Luo. Multi feature fused for visual tracking via correlation filters [C]. International Conference on Security, Pattern Analysis, and Cybernetics, (ICSPAC) 2017:88-93. (EI)

2. Qiao Liu, Di Yuan and Zhenyu He. Thermal infrared object tracking via Siamese convolutional neural networks[C]. International Conference on Security, Pattern Analysis, and Cybernetics, (ICSPAC) 2017:1-6. (EI, Best Paper Award)

1. Xiaohuan Lu, Di Yuan, Zhenyu He and Donghao Li. Sparse selective kernelized correlation filter model for visual object tracking[C]. International Conference on Security, Pattern Analysis, and Cybernetics, (ICSPAC) 2017:100-105. (EI) 


发明专利:

3. 在相关滤波框架下基于粒子滤波重检测的目标跟踪方法。发明专利(授权)公告日:2022.2.11

2. 基于多周期循环一致性的自监督目标跟踪方法。 发明专利(实审)2022

1. 一种基于响应峰值的多特征融合目标跟踪定位方法。发明专利(实审2022


荣誉与奖励

12/2020 哈尔滨工业大学优秀学生

12/2020 博士研究生国家奖学金

12/2019 哈尔滨工业大学优秀学生

06/2019 国家留学基金委联合培养博士生奖学金

05/2019 哈尔滨工业大学优秀团员

12/2018 哈尔滨工业大学优秀学生

 05/2018 哈尔滨工业大学优秀团员

12/2017 华为杯第十四届中国研究生数学建模竞赛二等奖

06/2017 哈尔滨工业大学(深圳校区)2017届优秀毕业生 (~10%)

05/2016 哈尔滨工业大学优秀团员

09/2015 哈尔滨工业大学研究生入学一等奖学金

04/2014 Mathematical Contest In Modeling (MCM) Was Designated As Honorable Mention

06/2013 “深圳杯东三省数学建模联赛一等奖

  • 教育经历Education Background
  • 工作经历Work Experience
  • 研究方向Research Focus
  • 社会兼职Social Affiliations
  • 计算机视觉、图像处理、目标跟踪、行人重识别
    • IEEE、ACM、CCF、CSIG、CAAI会员