曹佩蓓，女，南京信息工程大学人工智能学院，讲师。博士毕业于香港城市大学。主要研究方向为图像质量评价、图像重建、图像重建、联邦学习。在CVPR、ECCV、TVCG、Remote Sensing等著名SCI期刊与国际会议上发表十余篇论文。主持国家自然科学基金青年项目1项，江苏省青年项目1项，参与面上项目多项。课题组与上海交通大学、中山大学、香港城市大学等国内外等国内外知名高校保持密切合作。目前担任IEEE TIP/TVCG/TIFS/TGRS和IEEE CVPR/AAAI/ICIP等期刊会议审稿人。

科研项目：

1.国家自然科学基金青年项目 30万元 2026.01-2028.12，主持

2.江苏省自然科学基金青年项目 20万元 2025.09-2028.08，主持

3.南京信息工程大学人才启动经费 20万元 2025.03-2027.10，主持

招生信息：

研究生：招收2026年入学硕士研究生

本科生：希望从事科研训练的本科生，不限学校和专业

欢迎来到我们这个“经费充足”、氛围超棒的课题组！我们正在寻找这样的你：有毅力，爱沟通，坚持不懈，并将根据你的职业规划匹配个性化的研究课题。欢迎各位同学与我交流联系：cpb@nuist.edu.cn。

学术论文：

1. Peibei Cao, Chenyang Le, Yuming Fang, and Kede Ma，A Perceptually Optimized and Self-Calibrated Tone Mapping Operator. IEEE Transactions on Visualization and Computer Graphics (TVCG), 2025. (CCFA)

2. Gongzhe Li, Linwei Qiu, Peibei Cao, Fengying Xie, Xiangyang Ji, Qilin Sun, Real-Time Scene-Adaptive Tone Mapping for High-Dynamic Range Object Detection. NeurIPS 2025. (CCFA)

3. 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)

4. 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)

5. 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)

6. 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)

7. 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)

8. 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)

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)