| 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 | 420 | 2020 |
| 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 | 242 | 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 | 88 | 2016 |
| 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 | 85 | 2020 |
| 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, 2021 | 47 | 2021 |
| 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 | 47 | 2015 |
| 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 | 46 | 2020 |
| 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 | 32 | 2015 |
| 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 | 27 | 2018 |
| 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 IEEE Transactions on Cybernetics, 2021 | 26 | 2021 |
| Unsupervised degradation learning for single image super-resolution T Zhao, W Ren, C Zhang, D Ren, Q Hu arXiv preprint arXiv:1812.04240, 2018 | 25 | 2018 |
| 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 | 24 | 2013 |
| 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 | 20 | 2016 |
| Single image deraining using bilateral recurrent network D Ren, W Shang, P Zhu, Q Hu, D Meng, W Zuo IEEE Transactions on Image Processing 29, 6852-6863, 2020 | 19 | 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 | 16 | 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 | 13 | 2020 |
| What deep CNNs benefit from global covariance pooling: an optimization perspective Q Wang, L Zhang, B Wu, D Ren, P Li, W Zuo, Q Hu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 8 | 2020 |
| Dual Recursive Network for Fast Image Deraining L Cai, SY Li, D Ren, P Wang IEEE International Conference on Image Processing (ICIP), 2756-2760, 2019 | 5 | 2019 |
| 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 |
| Learning cascaded convolutional networks for blind single image super-resolution P Liu, H Zhang, Y Cao, S Liu, D Ren, W Zuo Neurocomputing 417, 371-383, 2020 | 3 | 2020 |
Wangmeng ZuoSchool of Computer Science and Technology, Harbin Institute of TechnologyVerified email at hit.edu.cn
