朱亚彬

个人信息：朱亚彬（1991--），男，安徽宿州人，校聘副教授，硕士生导师。联系方式：zhuyabin0726@foxmail.com

工作与学习经历：

2024年7月-至今 bv1946伟德官网 校聘副教授。

2022-2024在安徽大学电子科学与技术流动站从事博士后研究, 出站考核为优秀。

2016-2021年在安徽大学计算机科学与技术学院，硕博连读，获得博士学位。

研究领域：计算机视觉

研究方向：目标跟踪（包括多模态跟踪，微小目标跟踪和多模态多目标跟踪）

科研服务：担任多个国际顶级期刊和会议的审稿人，如：TNNLS, TMM, TCSVT, TIV, Information Fusion, CVPR, ECCV, AAAI, IJCAI, ACM MM等。

欢迎态度端正，责任心强的学生报考硕士研究生。

在研项目：

1. 国家自然科学基金委员会, 青年科学基金项目, 62202002, 基于自适应融合模型的多光谱视觉跟踪方法研究, 2023-01-01 至 2025-12-31, 30万元, 在研, 主持

2. 国家自然科学基金委员会, 联合基金项目, U23B2007, 星载SAR广域海面目标快速智能检测与识别,2024-01-01 至 2027-12-31, 257万元, 在研, 参与

   代表性成果：

3. Yabin Zhu, Qianwu Wang, Chenglong Li, Jin Tang, Chengjie Gu, Zhixiang Huang. “Visible-thermal Multiple Object Tracking: Large-scale Video Dataset and Progressive Fusion Approach”, Pattern Recognition (PR), 2024. (SCI,一区,TOP)

4. Yabin Zhu, Xingle Zhao, Chenglong Li, Jin Tang, Zhixiang Huang. “Long-term Motion Assisted Remote Sensing Object Tracking”, IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2024. (SCI一区)

5. Yabin Zhu, Chenglong Li, Xiao Wang, Jin Tang, Zhixiang Huang. “RGBT Tracking via Progressive Fusion Transformer with Dynamically Guided Learning”, IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2024. (SCI 一区, TOP)

6. Yabin Zhu, Chenglong Li, Yao Liu, Jin Tang, Bin Luo, Zhixiang Huang. “Tiny object tracking: A Large-scale Dataset and a Baseline.”, IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS)，2023. (SCI一区，TOP)

7. Yabin Zhu, Chenglong Li, Jin Tang, Bin Luo, Liang Wang. “RGBT Tracking by Trident Fusion Network”, IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2022. (SCI一区，TOP)

8. Yabin Zhu, Chenglong Li, Jin Tang, Bin Luo. “Quality-aware Feature Aggregation Network for Robust RGBT Tracking”, IEEE Transactions on Intelligent Vehicles (IEEE TIV) , 2021. (SCI 一区)

9. Yabin Zhu, Chenglong Li, Bin Luo, Jin Tang, Xiao Wang. “Dense Feature Aggregation and Pruning for RGBT Tracking”, ACM International Conference on Multimedia (ACMMM), 2019. (CCF-A类会议)

10. Rui Yang, Xiao Wang, Yabin Zhu, Jin Tang. “Deep triply attention network for RGBT tracking”,Cognitive Computation, 2023. (通讯作者)

11. Yuan Gao, Chenglong Li, Yabin Zhu, Jin Tang, Tao He, Futian Wang. “Deep adaptive fusion network for high performance RGBT tracking”, Proceedings of the IEEE/CVF International conference on computer vision workshops, 2019.

12. Yun Xiao, Fei Liu, Yabin Zhu, Chenglong Li, Futian Wang, Jin Tang. “UAV Cross-Modal Image Registration: Large-Scale Dataset and Transformer-Based Approach”, International Conference on Brain Inspired Cognitive Systems, 2023.