复杂场景下的先验与误差建模
本课题组的非深度学习方法基本属于这个研究方向,相关论文如下
- Xie Qi, Zhao Qian, Meng Deyu and Xu Zongben. Kronecker-basis-representation based tensor sparsity and its applications to tensor recovery[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2018, 40(8):1888–1902. (影响因子:23.6, ESI高被引)
- Xie Qi, Zeng Dong, Zhao Qian, Meng Deyu, Xu Zongben, Liang Zhengrong and Ma Jianhua. Robust low-dose CT sinogram preprocessing via exploiting noise-generating mechanism[J]. IEEE Transactions on Medical Imaging (TMI). 2017, 36(12):2487–2498. (影响因子:10.6)
- Xie Qi, Zhao Qian, Meng Deyu, Xu Zongben, Gu Shuhang, Zuo Wangmeng and Zhang Lei. Multispectral images denoising by intrinsic tensor sparsity regularization[C]. CVPR, 2016: 1692–1700. (中国计算机学会推荐A类会议)
- Xie Qi, Zhao Qian, Xu Zongben and Meng Deyu*. Color and Direction-Invariant Nonlocal self-similarity prior and its application to color image denoising[J]. Science China-information Sciences. (影响因子:8.8).
- Gu Shuhang, Xie Qi, Meng Deyu, Zuo Wangmeng, Feng Xiangchu and Zhang Lei*. Weighted nuclearnorm minimization and its applications to low level vision[J]. International Journal of Computer Vision (IJCV). 2017, 121(2):183–208.(影响因子:19.5, ESI高被引)
- Zeng Dong, Xie Qi, Cao Wenfei, Lin Jiahui, Zhang Hao, Zhang Shanli, Huang Jing, Bian Zhaoying, Meng Deyu, Xu Zongben, et al. Low-dose dynamic cerebral perfusion computed tomography reconstructionvia kronecker-basis-representation tensor sparsity regularization[J]. IEEE Transactions on Medical Imaging (TMI). 2017, 36(12):2546–2556.(影响因子:10.6 )
- Li Minghan, Xie Qi, Zhao Qian, Wei Wei, Gu Shuhang, Tao Jing and Meng Deyu*. Video rain streak removal by multiscale convolutional sparse coding[C]. CVPR, 2018: 6644–6653. (中国计算机学会推荐A 类会议)
- Gu Shuhang, Zuo Wangmeng, Xie Qi, Meng Deyu, Feng Xiangchu and Zhang Lei. Convolutional sparse coding for image super-resolution[C]. ICCV, 2015: 1823–1831. (中国计算机学会推荐A 类会议)
- Wei Wei, Yi Lixuan, Xie Qi, Zhao Qian, Meng Deyu* and Xu Zongben Should we encode rain streaks in video as deterministic or stochastic?[C]. ICCV, 2017: 2516–2525. (中国计算机学会推荐A 类会议)
具体内容介绍有待添加.......