| Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising K Zhang, W Zuo, Y Chen, D Meng, L Zhang IEEE transactions on image processing 26 (7), 3142-3155, 2017 | 12131 | 2017 |
| Infrared patch-image model for small target detection in a single image C Gao, D Meng, Y Yang, Y Wang, X Zhou, AG Hauptmann IEEE transactions on image processing 22 (12), 4996-5009, 2013 | 1633 | 2013 |
| Progressive image deraining networks: A better and simpler baseline D Ren, W Zuo, Q Hu, P Zhu, D Meng 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2019 | 1404 | 2019 |
| Meta-weight-net: Learning an explicit mapping for sample weighting J Shu, Q Xie, L Yi, Q Zhao, S Zhou, Z Xu, D Meng Advances in neural information processing systems 32, 2019 | 1335 | 2019 |
| Weighted nuclear norm minimization and its applications to low level vision S Gu, Q Xie, D Meng, W Zuo, X Feng, L Zhang International journal of computer vision 121 (2), 183-208, 2017 | 981 | 2017 |
| Self-paced curriculum learning L Jiang, D Meng, Q Zhao, S Shan, A Hauptmann Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015 | 767 | 2015 |
| DDFM: Denoising diffusion model for multi-modality image fusion Z Zhao, H Bai, Y Zhu, J Zhang, S Xu, Y Zhang, K Zhang, D Meng, ... 2023 IEEE/CVF International Conference on Computer Vision (ICCV), 8048-8059, 2023 | 709 | 2023 |
| MHF-Net: An interpretable deep network for multispectral and hyperspectral image fusion Q Xie, M Zhou, Q Zhao, Z Xu, D Meng IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (3), 1457-1473, 2020 | 634* | 2020 |
| Kronecker-basis-representation based tensor sparsity and its applications to tensor recovery Q Xie, Q Zhao, D Meng, Z Xu IEEE transactions on pattern analysis and machine intelligence 40 (8), 1888-1902, 2017 | 626* | 2017 |
| EPSANet: An efficient pyramid squeeze attention block on convolutional neural network H Zhang, K Zu, J Lu, Y Zou, D Meng Asian conference on computer vision, 541-557, 2022 | 620 | 2022 |
| Semi-supervised transfer learning for image rain removal W Wei, D Meng, Q Zhao, Z Xu, Y Wu 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2019 | 615 | 2019 |
| A model-driven deep neural network for single image rain removal H Wang, Q Xie, Q Zhao, D Meng 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2020 | 607 | 2020 |
| Hyperspectral image restoration via total variation regularized low-rank tensor decomposition Y Wang, J Peng, Q Zhao, Y Leung, XL Zhao, D Meng IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017 | 577 | 2017 |
| Co-saliency detection via a self-paced multiple-instance learning framework D Zhang, D Meng, J Han IEEE transactions on pattern analysis and machine intelligence 39 (5), 865-878, 2016 | 560 | 2016 |
| A generalized iterated shrinkage algorithm for non-convex sparse coding W Zuo, D Meng, L Zhang, X Feng, D Zhang Proceedings of the IEEE international conference on computer vision, 217-224, 2013 | 505 | 2013 |
| Decidenet: Counting varying density crowds through attention guided detection and density estimation J Liu, C Gao, D Meng, AG Hauptmann 2018 IEEE/CVF conference on computer vision and pattern recognition, 5197-5206, 2018 | 496 | 2018 |
| Self-paced learning with diversity L Jiang, D Meng, SI Yu, Z Lan, S Shan, AG Hauptmann Advances in neural information processing systems 27, 2014 | 490 | 2014 |
| Variational denoising network: Toward blind noise modeling and removal Z Yue, H Yong, Q Zhao, D Meng, L Zhang Advances in neural information processing systems 32, 2019 | 488 | 2019 |
| Convolutional sparse coding for image super-resolution S Gu, W Zuo, Q Xie, D Meng, X Feng, L Zhang Proceedings of the IEEE international conference on computer vision, 1823-1831, 2015 | 476 | 2015 |
| Robust online matrix factorization for dynamic background subtraction H Yong, D Meng, W Zuo, L Zhang IEEE transactions on pattern analysis and machine intelligence 40 (7), 1726-1740, 2017 | 474* | 2017 |
Qian ZhaoXi'an Jiaotong UniversityVerified email at xjtu.edu.cn
