厦门大学人工智能研究院
曹刘娟

厦门大学    教授,博士生导师

福建省可信人工智能分析与应用工程研究中心主任

媒体分析与计算实验室

地址:厦门大学海韵校区 行政C楼#705 邮编:361005

电子邮件:caoliujuan@xmu.edu.cn


 

个人信息

厦门大学信息学院教授,博士生导师,国家级青年人才,福建省杰青。主要从事计算机视觉、目标检测等人工智能领域前沿技术研究,以一作/通讯在TPAMI,IJCV,CVPR,ICCV等国际顶级期刊会议上发表论文60余篇,指导学生获多项国际竞赛冠军。主持国家自然科学基金联合基金重点项目、华为/腾讯/百度等头部企业项目多项。作为第一完成人获2020年福建省科技进步一等奖和2023年厦门市科技进步一等奖,入选2023AI华人女性青年学者榜单,获CSIG石青云女科学家奖、2022-2023 年度厦门大学三八红旗手等荣誉。

研究方向

代表论文

  1. B. Chen, M. Lin, R. Ji, L. Cao(通讯作者). Prioritized Subnet Sampling for Resource-Adaptive Supernet Training. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023, JCR-1区
  2. M. Lin, M. Chen, Y. Zhang, C. Shen, R. Ji, L. Cao(通讯作者). Super Vision Transformer. International Journal of Computer Vision (IJCV), 2023, JCR-1区
  3. J. Hu, Y. Lu, S. Zhang, L. Cao (通讯作者). ISTR: Mask-Embedding-Based Instance Segmentation Transformer. IEEE Transactions on Image Processing (TIP), 2024, JCR-1区
  4. Z. Chen, S. Wang, L. Cao (通讯作者), Y. Shen, R. Ji. Adaptive Zone Learning for Weakly Supervised Object Localization. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024, JCR-1区
  5. M. Lin, L. Cao(通讯作者), Y. Zhang, L. Shao, C. Lin, R. Ji. Pruning networks with cross-layer ranking & k-reciprocal nearest filters. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022, JCR-1区
  6. M. Lin, L. Cao(通讯作者), S. Li, Q. Ye, Y. Tian, J. Liu, Q. Tian, R. Ji. Filter sketch for network pruning. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021, JCR-1区
  7. 曹刘娟, 匡华峰, 刘弘, 王言, 张宝昌, 黄飞跃, 吴永坚, 纪荣嵘. 《双标签监督的几何约束对抗训练》. 软件学报, 2021
  8. Y. Huang, Z. Lan, L. Cao(通讯作者), X. Lin, S. Zhang, G. Jiang, R. Ji. FocSAM: Delving Deeply into Focused Objects in Segmenting Anything. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024, CCF-A类
  9. X. Fei, X. Zheng, Y. Wang, F. Chao, C. Wu, L. Cao(通讯作者). RepAn: Enhanced Annealing through Re-parameterization. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024, CCF-A类
  10. J. Xie, Y. Zhang, M. Lin, Z. Lin, L. Cao(通讯作者), R. Ji. UniPTS: A Unified Framework for Proficient Post-Training Sparsity. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024, CCF-A类
  11. J. Hu, L. Huang, T. Ren, S. Zhang, L. Cao(通讯作者), R. Ji. You Only Segment Once: Towards Real-Time Panoptic Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023, CCF-A类
  12. Z. Chen, J. Ding, L. Cao(通讯作者), Y. Shen, S. Zhang, G. Jiang, R. Ji. Category-aware Allocation Transformer for Weakly Supervised Object Localization. IEEE International Conference on Computer Vision (ICCV), 2023, CCF-A类
  13. J. Hu, C. Chen, L. Cao(通讯作者), S. Zhang, A. Shu, G. Jiang, R. Ji. Pseudo-label Alignment for Semi-supervised Instance Segmentation. IEEE International Conference on Computer Vision (ICCV), 2023, CCF-A类
  14. 14、M. Peng, J. Lin, Y. Zhou, Y. Shen, G. Luo, X. Sun, L. Cao(通讯作者), R. Fu, Q. Xu, R. Ji. Active teacher for semi-supervised object detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022, CCF-A类
  15. Z. Chen, C. Wang, Y. Wang, G. Jiang, Y. Shen, Y. Tai, C. Wang, W. Zhang, L. Cao(通讯作者). LCTR: On awakening the local continuity of transformer for weakly supervised object localization. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2022, CCF-A类
  16. C. Zhu, Y. Zhou, Y. Shen, G. Luo, X. Pan, M. Lin, C. Chen, L. Cao(通讯作者), X. Sun, R. Ji. SeqTR: A simple yet universal network for visual grounding. European Conference on Computer Vision (ECCV), 2022, CCF-B类
  17. B. Chen, M. Lin, K. Sheng, M. Zhang, P. Chen, K. Li, L. Cao(通讯作者), R. Ji. ARM: Any-time super-resolution method. European Conference on Computer Vision (ECCV), 2022, CCF-B类
  18. Y. Shen, L. Cao(通讯作者), Z. Chen, F. Lian, B. Zhang, C. Su, Y. Wu, F. Huang, R. Ji. Toward joint thing-and-stuff mining for weakly supervised panoptic segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021, CCF-A类
  19. J. Hu, L. Cao(通讯作者), T. Tong, Q. Ye, S. Zhang, K. Li, F. Huang, L. Shao, R. Ji. Architecture disentanglement for deep neural networks. IEEE International Conference on Computer Vision (ICCV), 2021, CCF-A类
  20. Y. Shen, L. Cao(通讯作者), Z. Chen, B. Zhang, C. Su, Y. Wu, F. Huang, R. Ji. Parallel detection-and-segmentation learning for weakly supervised instance segmentation. IEEE International Conference on Computer Vision (ICCV), 2021, CCF-A类
  21. Z. Chen, L. Cao(通讯作者), Y. Shen, F. Lian, Y. Wu, R. Ji. E2Net: Excitative-expansile learning for weakly supervised object localization. ACM Multimedia (ACMMM), 2021, CCF-A类
  22. X. Sun, X. Zhang, L. Cao(通讯作者), Y. Wu, F. Huang, R. Ji. Exploring language prior for mode-sensitive visual attention modeling. ACM Multimedia (ACMMM), 2020, CCF-A类
  23. H. Chen, Y. Luo, L. Cao(通讯作者), B. Zhang, G. Guo, C. Wang, J. Li, R. Ji. Generalized zero-shot vehicle detection in remote sensing imagery via coarse-to-fine framework. International Joint Conference on Artificial Intelligence (IJCAI), 2019, CCF-A类

科研项目

  • 国家自然科学基金委员会,联合基金重点项目,U21B2037,面向边缘部署的弱先验小目标视觉检测与跟踪,2022-01至2025-12,在研,主持。
  • 国家自然科学基金委员会,面上项目,62072387,基于弱监督学习的机载地/海小目标检测研究,2021-01至2024-12,在研,主持。
  • 国家自然科学基金委员会,面上项目,61772443,恶劣环境下遥感图像小目标鲁棒检测算法研究,2018-01至2021-12,在研,主持。
  • 国家自然科学基金委员会,青年基金项目,61402388,基于超分辨率迁移学习的卫星遥感图像鲁棒车辆检测研究,2015-01至2017-12,已结题,主持。
  • 腾讯,校企合作项目,多媒体技术研发委托协议,2021-07至2022-07,在研,主持。
  • 百度,校企合作项目,AutoDL与模型压缩技术,2021-03至2022-03,在研,主持。
  • 美图,校企合作项目,生成类算法清晰度优化研究,2021-07至2022-07,在研,主持。
  • 华为,校企合作项目,基于视频的人脸识别技术,2019-02至2020-02,1,已结题,主持。
  • 华为,校企合作项目,2D对象识别与跟踪技术合作项目,2018-08至2019-11,已结题,主持。
  • 华为,校企合作项目,基于智能分析的视频审核技术合作项目,2017-05至2018-05,已结题,主持。