| 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 | 2843 | 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 | 384 | 2016 |
| 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 | 380 | 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 | 301 | 2013 |
| 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 | 296 | 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 | 286 | 2015 |
| Self-paced learning with diversity L Jiang, D Meng, SI Yu, Z Lan, S Shan, A Hauptmann Advances in Neural Information Processing Systems, 2078-2086, 2014 | 258 | 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 | 239 | 2013 |
| 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 | 212 | 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 | 208 | 2014 |
| 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 | 192 | 2018 |
| 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 | 176 | 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 | 163 | 2013 |
| 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 | 150 | 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 | 135 | 2016 |
| Improve robustness of sparse PCA by L1-norm maximization D Meng, Q Zhao, Z Xu Pattern Recognition 45 (1), 487-497, 2012 | 132 | 2012 |
| 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 | 125 | 2019 |
| 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 | 125 | 2018 |
| Event oriented dictionary learning for complex event detection Y Yan, Y Yang, D Meng, G Liu, W Tong, AG Hauptmann, N Sebe IEEE Transactions on Image Processing 24 (6), 1867-1878, 2015 | 122 | 2015 |
| A theoretical understanding of self-paced learning D Meng, Q Zhao, L Jiang Information Sciences 414, 319-328, 2017 | 119* | 2017 |
Qian ZhaoXi'an Jiaotong UniversityVerified email at xjtu.edu.cn
