| 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 | 4005 | 2017 |
| 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 | 480 | 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 | 423 | 2016 |
| 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 | 394 | 2013 |
| Self-paced curriculum learning L Jiang, D Meng, Q Zhao, S Shan, AG Hauptmann Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015 | 370 | 2015 |
| 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 | 325 | 2015 |
| Self-paced learning with diversity L Jiang, D Meng, SI Yu, Z Lan, S Shan, A Hauptmann Advances in Neural Information Processing Systems 27, 2078-2086, 2014 | 309 | 2014 |
| 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 | 274 | 2013 |
| Progressive image deraining networks: A better and simpler baseline D Ren, W Zuo, Q Hu, P Zhu, D Meng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 270 | 2019 |
| Decidenet: Counting varying density crowds through attention guided detection and density estimation J Liu, C Gao, D Meng, AG Hauptmann Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 265 | 2018 |
| Meta-weight-net: Learning an explicit mapping for sample weighting J Shu, Q Xie, L Yi, Q Zhao, S Zhou, Z Xu, D Meng arXiv preprint arXiv:1902.07379, 2019 | 257 | 2019 |
| Decomposable nonlocal tensor dictionary learning for multispectral image denoising Y Peng, D Meng, Z Xu, C Gao, Y Yang, B Zhang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 247 | 2014 |
| Easy samples first: Self-paced reranking for zero-example multimedia search L Jiang, D Meng, T Mitamura, AG Hauptmann Proceedings of the 22nd ACM international conference on Multimedia, 547-556, 2014 | 235 | 2014 |
| Robust principal component analysis with complex noise Q Zhao, D Meng, Z Xu, W Zuo, L Zhang International conference on machine learning, 55-63, 2014 | 204 | 2014 |
| Robust matrix factorization with unknown noise D Meng, F De La Torre Proceedings of the IEEE International Conference on Computer Vision, 1337-1344, 2013 | 195 | 2013 |
| Hyperspectral image classification with Markov random fields and a convolutional neural network X Cao, F Zhou, L Xu, D Meng, Z Xu, J Paisley IEEE Transactions on Image Processing 27 (5), 2354-2367, 2018 | 192 | 2018 |
| Robust multi-exposure image fusion: a structural patch decomposition approach K Ma, H Li, H Yong, Z Wang, D Meng, L Zhang IEEE Transactions on Image Processing 26 (5), 2519-2532, 2017 | 189 | 2017 |
| Multispectral images denoising by intrinsic tensor sparsity regularization Q Xie, Q Zhao, D Meng, Z Xu, S Gu, W Zuo, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 171 | 2016 |
| 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 | 157 | 2017 |
| A theoretical understanding of self-paced learning D Meng, Q Zhao, L Jiang Information Sciences 414, 319-328, 2017 | 146* | 2017 |
Qian ZhaoXi'an Jiaotong UniversityVerified email at xjtu.edu.cn
