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宁倩

教育背景

| 西安电子科技大学 | 人工智能学院 | 博士 | 计算机科学与技术 | 2019.09 - now |
| 西安电子科技大学 | 电子工程学院 | 本科 | 电子信息工程 | 2015.09 - 2019.06 |
实验室：智能感知与图像理解教育部重点实验室 （石光明团队）
导师：董伟生教授（长江学者）

研究方向

主要研究领域为图像/视频恢复重建、质量增强等，如图像超分辨、 图像去噪； 神经网络架构搜索；GAN / VQ-VAE / Diffusion等图像生成方法。

近期工作

  1. Qian Ning, Fangfang Wu, Weisheng Dong, Xin Li, Guangming Shi, “Exploring Correlations in Degraded Spatial Identity Features for Blind Face Restoration,” ACM Multimedia, 2023
  2. Chengxing Xie*, Qian Ning*, Weisheng Dong and Guangming Shi, “TFRGAN: Leveraging Text Information for Blind Face Restoration with Extreme Degradation,” CVPRW,2023. (Equal Contribution)
  3. Qian Ning, Weisheng Dong, Xin Li and Jinjina Wu, “Searching Efficient Model-guided Deep Network for Image Denoising,” IEEE Transactions on Image Processing (TIP), vol. 32, pp. 668–681, 2023
  4. Qian Ning, Jingzhu Tang, Fangfang Wu, Weisheng Dong, Xin Li, and Guangming Shi, “Learning degradation uncertainty for unsupervised real-world image super-resolution,” in Proceedings of the International Conference on International Joint Conferences on Artificial Intelligence (IJCAI), 2022
  5. Qian Ning, Weisheng Dong, Xin Li, Jinjian Wu, and Guangming Shi, “Uncertainty-driven loss for single image super-resolution,” Advances in Neural Information Processing Systems (NeurIPS), vol. 34, pp. 16398–16409, 2021
  6. Qian Ning, Weisheng Dong, Guangming Shi, Leida Li, and Xin Li, “Accurate and lightweight image super-resolution with model-guided deep unfolding network,” IEEE Journal of Selected Topics in Signal Processing (JSTSP), vol. 15, no. 2, pp. 240–252, 2020
  7. Qian Ning, Weisheng Dong, Fangfang Wu, Jinjian Wu, Jie Lin, and Guangming Shi, “Spatial-temporal gaussian scale mixture modeling for foreground estimation,” in Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), vol. 34, no. 07, 2020, pp. 11791–11798
  8. Qian Ning, Fangfang Wu, Weisheng Dong, Jinjian Wu, Jie Lin, and Guangming Guangming Shi and Xin Li, “Robust Dynamic Background Modeling for Foreground Estimation,” in IEEE International Conference on Visual Communications and Image Processing (VCIP), 2022, pp. 1–5