个人简介
曹佩蓓,女,南京信息工程大学人工智能学院,讲师。南京航空航天大学本硕,香港城市大学博士。
主要研究方向为:图像质量评价、图像重建、图像压缩、雷达信号处理以及核磁共振图像重建等。
在CVPR、ECCV、Remote Sensing等著名SCI期刊与国际会议上发表十余篇论文。
学术论文:
1. Peibei Cao, Haoyu Chen, et al.: Learned HDR Image Compression for Perceptually Optimal Storage and Display. In: 2024 Proceedings of the European Conference on Computer Vision. (CCFB)
2. Peibei Cao, Rafal K. Mantiuk, Kede Ma: Perceptual Assessment and Optimization of HDR Image Rendering. In: 2024 Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 22433-22443. (CCFA)
3. Peibei Cao, Zhangyang Wang, Kede Ma: Debiased Subjective Assessment of Real-World Image Enhancement. In: 2021 Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.711-721. (CCFA)
4. Peibei Cao, Dingquan Li, Kede Ma: Image Quality Assessment: Integrating Model-Centric and Data-Centric Approaches. In: 2024 Proceedings of the Conference on Parsimony and Learning, pp.529-541. (Oral)
5. Peibei Cao, Linfang Xiao, et al.: Partial Fourier MRI Reconstruction Using Convolutional Neural Networks. In: 2020 Proceedings of International Society for Magnetic Resonance in Medicine. (CCFC)
6. Yi Li, Peibei Cao, Weijie Xia, Jianjiang Zhou,Yongyan Chu, Wogong Zhang, Jie Zhang Radar High-Speed Target Range-Doppler-Azimuth Coherent Extension Detection for Autonomous Vehicles. IEEE Sensors Journal. (SCI,JCR 中科院二区)
7. Peibei Cao, Rafal K. Mantiuk, Kede Ma: Revisiting Multi-Stage Methods for Single Image HDR Reconstruction: Stage Design and Perceptual Optimization. IEEE Transactions on Image Processing. (under review) (SCI,中科院一区)
8. Peibei Cao, Chenyang Le, Yuming Fang, Kede Ma: Perceptual Optimization of a Biologically-Inspired Tone Mapping Operator. IEEE Transactions on Visualization and Computer Graphics. (under review) (SCI,中科院一区)
9. Peibei Cao, Weijie Xia, et al.: Heart ID: Human Identification Based on Radar Micro-Doppler Signatures of the Heart Using Deep Learnings. Remote Sensing, Volume 11, No.10, May, 2019. (SCI,中科院二区)
10. Peibei Cao, Weijie Xia, et al.: Classification of Ground Targets Based on Radar Micro-Doppler Signatures Using Deep Learning and Conventional Supervised Learning Methods. Radioengineering, Volume 27, No.3, Sep, 2018, pp. 835 – 845. (SCI)
11. Peibei Cao, Weijie Xia, et al.: Radar-ID: human identification based on radar micro-Doppler signatures using deep convolutional neural networks. IET Radar, Sonar & Navigation, Volume 12, Issue 7, July 2018, pp. 729 – 734. (SCI)
- 研究方向
- 社会兼职
- 图像质量评价、图像重建、图像压缩、雷达信号处理以及核磁共振图像重建等。
- 教育经历
- 工作经历
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2012.9-----2016.6
南京航空航天大学 | 本科(学士) | 学士学位
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2016.9-----2019.4
南京航空航天大学 | 硕士研究生毕业 | 硕士学位
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2020.9-----2024.10
香港城市大学 | 博士研究生毕业 | 博士学位
团队成员
曹佩蓓
个人信息
- 教师姓名: 曹佩蓓
- 性别: 女
- 电子邮箱: 003970@nuist.edu.cn
- 入职时间: 2024-11-14
- 所在单位: 人工智能学院(未来技术学院、人工智能产业学院)
- 联系方式: 邮箱:peibeicao2-c@my.cityu.edu.hk
- 学历: 博士研究生毕业
- 学位:哲学博士学位
- 在职信息: 在岗
- 职称: 未评职称(高校教师)
- 毕业院校:香港城市大学