| Self2self with dropout: Learning self-supervised denoising from single image Y Quan, M Chen, T Pang, H Ji Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 411 | 2020 |
| Advancing image understanding in poor visibility environments: A collective benchmark study W Yang, Y Yuan, W Ren, J Liu, WJ Scheirer, Z Wang, T Zhang, Q Zhong, ... IEEE Transactions on Image Processing 29, 5737-5752, 2020 | 258 | 2020 |
| Recorrupted-to-recorrupted: Unsupervised deep learning for image denoising T Pang, H Zheng, Y Quan, H Ji Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 224 | 2021 |
| Dictionary learning for sparse coding: Algorithms and convergence analysis C Bao, H Ji, Y Quan, Z Shen IEEE transactions on pattern analysis and machine intelligence 38 (7), 1356-1369, 2015 | 209 | 2015 |
| Image denoising using complex-valued deep CNN Y Quan, Y Chen, Y Shao, H Teng, Y Xu, H Ji Pattern Recognition 111, 107639, 2021 | 155 | 2021 |
| Deep learning for seeing through window with raindrops Y Quan, S Deng, Y Chen, H Ji Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 139 | 2019 |
| Dynamic texture classification using dynamic fractal analysis Y Xu, Y Quan, H Ling, H Ji 2011 international conference on computer vision, 1219-1226, 2011 | 134 | 2011 |
| L0 norm based dictionary learning by proximal methods with global convergence C Bao, H Ji, Y Quan, Z Shen Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 109 | 2014 |
| Lacunarity analysis on image patterns for texture classification Y Quan, Y Xu, Y Sun, Y Luo Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 88 | 2014 |
| Watermarking deep neural networks in image processing Y Quan, H Teng, Y Chen, H Ji IEEE transactions on neural networks and learning systems 32 (5), 1852-1865, 2020 | 81 | 2020 |
| Dynamic texture recognition via orthogonal tensor dictionary learning Y Quan, Y Huang, H Ji Proceedings of the IEEE international conference on computer vision, 73-81, 2015 | 79 | 2015 |
| Image-based action recognition using hint-enhanced deep neural networks T Qi, Y Xu, Y Quan, Y Wang, H Ling Neurocomputing 267, 475-488, 2017 | 71 | 2017 |
| Recurrent exposure generation for low-light face detection J Liang, J Wang, Y Quan, T Chen, J Liu, H Ling, Y Xu IEEE Transactions on Multimedia 24, 1609-1621, 2021 | 69 | 2021 |
| Estimating defocus blur via rank of local patches G Xu, Y Quan, H Ji Proceedings of the IEEE international conference on computer vision, 5371-5379, 2017 | 65 | 2017 |
| Classifying dynamic textures via spatiotemporal fractal analysis Y Xu, Y Quan, Z Zhang, H Ling, H Ji Pattern Recognition 48 (10), 3239-3248, 2015 | 62 | 2015 |
| Variational-EM-based deep learning for noise-blind image deblurring Y Nan, Y Quan, H Ji Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 61 | 2020 |
| Data-driven multi-scale non-local wavelet frame construction and image recovery Y Quan, H Ji, Z Shen Journal of Scientific Computing 63, 307-329, 2015 | 58 | 2015 |
| Sparse coding for classification via discrimination ensemble Y Quan, Y Xu, Y Sun, Y Huang, H Ji Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 57 | 2016 |
| Image denoising via sequential ensemble learning X Yang, Y Xu, Y Quan, H Ji IEEE Transactions on Image Processing 29, 5038-5049, 2020 | 48 | 2020 |
| Equiangular kernel dictionary learning with applications to dynamic texture analysis Y Quan, C Bao, H Ji Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 48 | 2016 |
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