崔滢科研成果

个人简介 学习与工作经历2015年于南京理工大学模式识别与智能系统专业获博士学位，此前于南京理工大学计算机科学与技术专业获学士学位。2013年至2014年于澳大利亚悉尼科技大学进行访问研究。2015年至今任职于浙江工业大学计算机科学与技术学院。长期围绕复杂现实场景下视觉目标的检测、定位与跟踪等方向开展理论与应用研究，在国际知名期刊和会议发表论文二十余篇，授权国际/国内专利十余项；主持国家自然科学基金项目1项、浙江省自然科学基金项目2项、企业委托横向课题多项，参与国家/省部级纵向项目、企业委托重大横向课题多项。近年部分代表论文(*为通讯作者)Jun Wang, Ying Cui, Dongyan Guo, Junxia Li, Qingshan Liu and Chunhua Shen.  PointAttN: You Only Need Attention for Point Cloud Completion [C]. In AAAI-24, 2024. (CCF-A, 人工智能领域顶级会议)Ying Cui, Hang Zheng, Yueqian Quan, Xiang Pan, Yike Wang and Junxia Li. Boosting One-stage Multi Object Tracking with Attention Learning. In PRCV, 2023.Xiaoyan Wang, Minghan Shao, Dongyan Guo, Ying Cui*, Xiaojie Huang, Ming Xia and Cong Bai. Multi-stage Aggregation Transformer for Medical Image Segmentation [C]. In ICASSP, 2023. (CCF-B) Junxia Li, Deshuo Shi, Ying Cui, Dongyan Guo and Qingshan Liu. Adaptive Activation Network for Weakly Supervised Semantic Segmentation [J]. IEEE Transactions on Multimedia, doi: 10.1109/ TMM. 2023. 3307941, 2023. (CCF-B)Ying Cui, Dongyan Guo, Yanyan Shao, Zhenhua Wang, Chunhua Shen, Liyan Zhang and Shengyong Chen. Joint Classification and Regression for Visual Tracking with Fully Convolutional Siamese Networks [J]. International Journal of Computer Vision (IJCV), 2022, 130(2), pp.550-566. (CCF-A, 人工智能/计算机视觉领域顶级期刊)Junxia Li, Zefeng Pan, Qingshan Liu, Ying Cui and Yubao Sun. Complementarity-Aware Attention Network for Salient Object Detection [J]. IEEE Transactions on Cybernetics, 2022, 52(2), pp.873-886. (CCF-B)Dongyan Guo, Yanyan Shao, Ying Cui*, Zhenhua Wang, Liyan Zhang and Chunhua Shen. Graph Attention Tracking [C]. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Virtual Conference, 2021. (CCF-A, 人工智能/计算机视觉领域顶级会议)Miao Tian, Ying Cui*, Haixia Long and Junxia Li. Improving novelty detection by self-supervised learning and channel attention mechanism [J]. Industrial Robot, 2021, 48(5), pp.673-679. Dongyan Guo, Jun Wang, Ying Cui*, Zhenhua Wang and Shengyong Chen. SiamCAR:  Siamese Fully Convolutional Classification and Regression for Visual Tracking [C]. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, Oral), Seattle, 2020. (CCF-A, 人工智能/计算机视觉领域顶级会议)Jianghao Ye, Ying Cui*, Xiang Pan, Herong Zheng, Dongyan Guo and Yanan Ren. An improved boundary-aware face alignment using stacked dense U-Nets [J]. International Journal of Advanced Robotic Systems, 2020, 17(4), pp.1-11.教学与人才培养为本科生讲授《计算机组成原理》《计算机组成课程设计》《程序设计基础C》等课程，多次获得浙江工业大学课堂教学优秀个人奖。主持校级教改项目1项，发表教改论文2篇，作为主要成员参与省部级/校级教改项目与课程建设多项。指导/协助指导研究生多名，主要研究方向为计算机视觉、图像处理等。指导学生获得中国大学生服务外包创新创业大赛全国三等奖1项、国家级大学生创新创业训练计划项目立项1项、校级立项多项、授权/受理发明专利/软著等多项。社会服务中国计算机学会会员，担任IJCV、TNNLS、TCSVT、CVPR、AAAI、ECCV等国际著名期刊与会议审稿人。 内容来自集群智慧云企服 www.jiqunzhihui.net