设为首页 联系我们 加入收藏

当前位置: 首页 师资 专任教师 正文

钟晓静

作者:时间:2025-09-23点击数:


研究方向计算机视觉、AIGC

办公邮箱:vzxj12@gmail.com

个人简介

钟晓静,博士,广东技术师范大学计算机科学学院讲师,2025年博士毕业于华南理工大学软件学院,期间在新加坡南洋理工大学公派联培一年,主要研究Human-centric AIGC、多模态理解、图像视频生成与编辑。在ECCV、AAAI、ACM MM等国际顶级会议和期刊发表论文10余篇,已授权发明专利2项。

代表性论文:

1. Xiaojing Zhong, Zhonghua Wu, Taizhe Tan, Guosheng Lin, and Qingyao Wu. "Mv-ton: Memory-based video virtual try-on network." In Proceedings of the 29th ACM International Conference on Multimedia, pp. 908-916. 2021. (CCF A)

2. Xiaojing Zhong, Zhonghua Wu, Xiaofeng Yang, Guosheng Lin, and Qingyao Wu. "IPVTON: Image-based 3D Virtual Try-on with Image Prompt Adapter." In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 39, no. 10, pp. 10671-10679. 2025. (CCF A)

3. Xiaojing Zhong, Xinyi Huang, Xiaofeng Yang, Guosheng Lin, and Qingyao Wu. "Deco: Decoupled human-centered diffusion video editing with motion consistency." In European Conference on Computer Vision, pp. 352-370. (CCF B)

4. Xiaojing Zhong, Ni Zhang, Hao Hu, Li Li, Junhua Cen, and Qingyao Wu. "Densely packed object detection with transformer-based head and EM-merger." Service Oriented Computing and Applications 17, no. 2 (2023): 109-117.

5. Xiaojing Zhong, Hao Hu, Li Li, Junhua Cen, and Qingyao Wu. "Deep IoU network for dense rebar object detection." In 2022 IEEE International Conference on e-Business Engineering (ICEBE), pp. 45-50. IEEE, 2022.

6. Hu, Meiju, Xiaojing Zhong. "Fast-speed image recognition system on retail commodity image." In 2021 IEEE International Conference on e-Business Engineering (ICEBE), pp. 76-81. IEEE, 2021.

7. Huang, Xinyi, Ni Zhang, Kesheng Fan,Xiaojing Zhong, and Qingyao Wu. "Improved a* method for high efficiency forklift path planning." In 2022 IEEE International Conference on e-Business Engineering (ICEBE), pp. 136-140. IEEE, 2022.

主要授权发明专利

1. 吴庆耀;钟晓静;胡美菊.一种从视频到视频的无模板虚拟换衣方法及装,发明专利,专利号:ZL202111393668.3(已授权),2024.04.02

2. 胡灏;李利;岑俊华;张木树;杨正文;吴庆耀;钟晓静;杜卿.一种语义感知多视角三维人体重建方法、装置及介质,发明专利,专利号:ZL202311586576.6(已授权),2024.03.26

上一篇:吴伟文
下一篇:郑鹏根

 地址:广州市天河区中山大道西293号
电话:020-38256730 邮箱:JSJKXXY@gpnu.edu.cn

广东技术师范大学 计算机科学学院 版权所有  

您是第位访问者!