| 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 | 1432 | 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 | 274 | 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 | 213 | 2017 |
| 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 | 211 | 2015 |
| 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 | 205 | 2013 |
| Self-paced curriculum learning L Jiang, D Meng, Q Zhao, S Shan, AG Hauptmann Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015 | 195 | 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 | 193 | 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 | 188 | 2013 |
| 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 | 167 | 2014 |
| 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 | 153 | 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 | 141 | 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 | 121 | 2013 |
| 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 | 112 | 2015 |
| Improve robustness of sparse PCA by L1-norm maximization D Meng, Q Zhao, Z Xu Pattern Recognition 45 (1), 487-497, 2012 | 106 | 2012 |
| Self-paced learning for matrix factorization Q Zhao, D Meng, L Jiang, Q Xie, Z Xu, AG Hauptmann Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015 | 95 | 2015 |
| 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 | 91 | 2018 |
| 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 | 90 | 2016 |
| Fast and efficient strategies for model selection of Gaussian support vector machine Z Xu, M Dai, D Meng IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39 …, 2009 | 79 | 2009 |
| 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 | 76 | 2017 |
| Total variation regularized tensor RPCA for background subtraction from compressive measurements W Cao, Y Wang, J Sun, D Meng, C Yang, A Cichocki, Z Xu IEEE Transactions on Image Processing 25 (9), 4075-4090, 2016 | 69 | 2016 |
Qian ZhaoXi'an Jiaotong UniversityVerified email at xjtu.edu.cn
