| Progressive Image Deraining Networks: A Better and Simpler Baseline D Ren, W Zuo, Q Hu, P Zhu, D Meng Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 105 | 2019 |
| Learning Iteration-wise Generalized Shrinkage-Thresholding Operators for Blind Deconvolution W Zuo, D Ren, D Zhang, S Gu, L Zhang IEEE Transactions on Image Processing, 2016 | 60 | 2016 |
| Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression Z Zheng, P Wang, W Liu, J Li, R Ye, D Ren AAAI Conference on Artificial Intelligence, 2020 | 48 | 2020 |
| Discriminative Learning of Iteration-wise Priors for Blind Deconvolution W Zuo, D Ren, S Gu, L Lin, L Zhang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 40 | 2015 |
| Simultaneous Fidelity and Regularization Learning for Image Restoration D Ren, W Zuo, D Zhang, L Zhang, MH Yang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 | 29 | 2019 |
| Fast total-variation based image restoration based on derivative alternated direction optimization methods D Ren, H Zhang, D Zhang, W Zuo Neurocomputing 170, 201–212, 2015 | 23 | 2015 |
| Fast Gradient Vector Flow Computation Based on Augmented Lagrangian Method D Ren, W Zuo, X Zhao, Z Lin, D Zhang Pattern Recognition Letters 34 (2), 219–225, 2013 | 22 | 2013 |
| Neural Blind Deconvolution Using Deep Priors D Ren, K Zhang, Q Wang, Q Hu, W Zuo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 18 | 2020 |
| Patch Group based Bayesian Learning for Blind Image Denoising J Xu, D Ren, L Zhang, Z David Asian Conference on Computer Vision (ACCV), New Trends in Image Restoration …, 2016 | 17 | 2016 |
| Partial Deconvolution with Inaccurate Blur Kernel D Ren, W Zuo, D Zhang, J Xu, L Zhang IEEE Transactions on Image Processing 27 (1), 511-524, 2018 | 15 | 2018 |
| STAR: A structure and texture aware retinex model J Xu, Y Hou, D Ren, L Liu, F Zhu, M Yu, H Wang, L Shao IEEE Transactions on Image Processing 29, 5022-5037, 2020 | 14 | 2020 |
| Unsupervised degradation learning for single image super-resolution T Zhao, W Ren, C Zhang, D Ren, Q Hu arXiv preprint arXiv:1812.04240, 2018 | 12 | 2018 |
| How can a sparse representation be made applicable for very low-dimensional data? H Zhang, F Li, P Liu, Y Chen, D Ren, K Wang Expert Systems with Applications 77, 66-70, 2017 | 5 | 2017 |
| Single Image Deraining Using Bilateral Recurrent Network D Ren, W Shang, P Zhu, Q Hu, D Meng, W Zuo IEEE Transactions on Image Processing, 2020 | 4 | 2020 |
| Enhanced Blind Face Restoration With Multi-Exemplar Images and Adaptive Spatial Feature Fusion X Li, W Li, D Ren, H Zhang, M Wang, W Zuo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 4 | 2020 |
| Unpaired learning of deep image denoising X Wu, M Liu, Y Cao, D Ren, W Zuo European Conference on Computer Vision, 352-368, 2020 | 2 | 2020 |
| Understanding Kernel Size in Blind Deconvolution L Si-Yao, D Ren, Q Yin IEEE Winter Conference on Applications of Computer Vision (WACV), 2068-2076, 2019 | 2 | 2019 |
| Efficient non-uniform deblurring based on generalized additive convolution model H Deng, D Ren, D Zhang, W Zuo, H Zhang, K Wang EURASIP Journal on Advances in Signal Processing 2016 (1), 1-15, 2016 | 2 | 2016 |
| Fast Augmented Lagrangian Method for Image Smoothing with Hyper-Laplacian Gradient Prior L Chen, H Zhang, D Ren, D Zhang, W Zuo Chinese Conference on Pattern Recognition, 12-21, 2014 | 2 | 2014 |
| Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation Z Zheng, P Wang, D Ren, W Liu, R Ye, Q Hu, W Zuo arXiv preprint arXiv:2005.03572, 2020 | 1 | 2020 |
Wangmeng ZuoSchool of Computer Science and Technology, Harbin Institute of TechnologyVerified email at hit.edu.cn
