| Mixed noise removal via Laplacian scale mixture modeling and nonlocal low-rank approximation T Huang, W Dong, X Xie, G Shi, X Bai IEEE Transactions on Image Processing 26 (7), 3171-3186, 2017 | 144 | 2017 |
| Deep gaussian scale mixture prior for spectral compressive imaging T Huang, W Dong, X Yuan, J Wu, G Shi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 116 | 2021 |
| Deep hyperspectral image fusion network with iterative spatio-spectral regularization T Huang, W Dong, J Wu, L Li, X Li, G Shi IEEE Transactions on Computational Imaging 8, 201-214, 2022 | 41 | 2022 |
| Robust foreground estimation via structured Gaussian scale mixture modeling G Shi, T Huang, W Dong, J Wu, X Xie IEEE Transactions on Image Processing 27 (10), 4810-4824, 2018 | 38 | 2018 |
| Robust tensor approximation with Laplacian scale mixture modeling for multiframe image and video denoising W Dong, T Huang, G Shi, Y Ma, X Li IEEE Journal of Selected Topics in Signal Processing 12 (6), 1435-1448, 2018 | 29 | 2018 |
| Lightweight deep residue learning for joint color image demosaicking and denoising T Huang, FF Wu, W Dong, G Shi, X Li 2018 24th International Conference on Pattern Recognition (ICPR), 127-132, 2018 | 23 | 2018 |
| Deep gaussian scale mixture prior for image reconstruction T Huang, X Yuan, W Dong, J Wu, G Shi IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 9 | 2023 |
| Hybrid sparsity learning for image restoration: An iterative and trainable approach F Wu, W Dong, T Huang, G Shi, S Cheng, X Li Signal Processing 178, 107751, 2021 | 8 | 2021 |
| Toward blind joint demosaicing and denoising of raw color filter array data F Wu, T Huang, W Dong, G Shi, Z Zheng, X Li Neurocomputing 453, 369-382, 2021 | 7 | 2021 |
| Spatially varying prior learning for blind hyperspectral image fusion J Xu, F Wu, X Li, W Dong, T Huang, G Shi IEEE Transactions on Image Processing, 2023 | 4 | 2023 |
| Low-Light Image Enhancement with Multi-stage Residue Quantization and Brightness-aware Attention Y Liu, T Huang, W Dong, F Wu, X Li, G Shi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 4 | 2023 |
| Accelerating convolutional neural network via structured gaussian scale mixture models: a joint grouping and pruning approach T Huang, W Dong, J Liu, F Wu, G Shi, X Li IEEE Journal of Selected Topics in Signal Processing 14 (4), 817-827, 2020 | 4 | 2020 |
| Supplementary Material for “Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging” T Huang, W Dong, X Yuan, J Wu, G Shi | | |
| Experimental results of the manuscript T Huang, W Dong, G Shi, X Bai | | |
Weisheng DongSchool of Artificial Intelligence, Xidian University, ChinaVerified email at mail.xidian.edu.cn
