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2020 – today
- 2023
[j65]Weisheng Dong
, Jinjian Wu, Leida Li, Guangming Shi, Xin Li:
Bayesian Deep Learning for Image Reconstruction: From structured sparsity to uncertainty estimation. IEEE Signal Process. Mag. 40(1): 73-84 (2023)- [j64]Zhiwen Chen, Jinjian Wu, Junhui Hou, Leida Li, Weisheng Dong, Guangming Shi:
ECSNet: Spatio-Temporal Feature Learning for Event Camera. IEEE Trans. Circuits Syst. Video Technol. 33(2): 701-712 (2023) - [j63]Yongxu Liu, Jinjian Wu, Leida Li, Weisheng Dong, Guangming Shi:
Quality Assessment of UGC Videos Based on Decomposition and Recomposition. IEEE Trans. Circuits Syst. Video Technol. 33(3): 1043-1054 (2023) - [j62]Qian Ning, Weisheng Dong, Xin Li, Jinjian Wu:
Searching Efficient Model-Guided Deep Network for Image Denoising. IEEE Trans. Image Process. 32: 668-681 (2023) - 2022
- [j61]Yang Wu, Dingheng Wang, Xiaotong Lu, Fan Yang, Man Yao, Weisheng Dong, Jianbo Shi, Guoqi Li:
Efficient Visual Recognition: A Survey on Recent Advances and Brain-inspired Methodologies. Int. J. Autom. Comput. 19(5): 366-411 (2022) - [j60]Yuan Cao, Guangming Shi, Weisheng Dong, Tianzhu Zhang, Jinjian Wu, Xuemei Xie, Xin Li:
Correlation filters based on spatial-temporal Gaussion scale mixture modelling for visual tracking. Neurocomputing 492: 76-90 (2022) - [j59]Aobo Li, Jinjian Wu, Shiwei Tian, Leida Li, Weisheng Dong, Guangming Shi:
Blind image quality assessment based on progressive multi-task learning. Neurocomputing 500: 307-318 (2022) - [j58]Tao Huang, Weisheng Dong, Jinjian Wu, Leida Li, Xin Li, Guangming Shi:
Deep Hyperspectral Image Fusion Network With Iterative Spatio-Spectral Regularization. IEEE Trans. Computational Imaging 8: 201-214 (2022) - [j57]Hancheng Zhu, Leida Li, Jinjian Wu, Weisheng Dong, Guangming Shi:
Generalizable No-Reference Image Quality Assessment via Deep Meta-Learning. IEEE Trans. Circuits Syst. Video Technol. 32(3): 1048-1060 (2022) - [j56]Yuan Cao, Guangming Shi, Tianzhu Zhang, Weisheng Dong, Jinjian Wu, Xuemei Xie, Xin Li:
Bayesian Correlation Filter Learning With Gaussian Scale Mixture Model for Visual Tracking. IEEE Trans. Circuits Syst. Video Technol. 32(5): 3085-3098 (2022) - [j55]Yongxu Liu, Jinjian Wu, Leida Li, Weisheng Dong, Jinpeng Zhang, Guangming Shi:
Spatiotemporal Representation Learning for Blind Video Quality Assessment. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3500-3513 (2022) - [j54]Leida Li, Tianshu Song, Jinjian Wu, Weisheng Dong, Jiansheng Qian, Guangming Shi:
Blind Image Quality Index for Authentic Distortions With Local and Global Deep Feature Aggregation. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8512-8523 (2022) - [j53]Pengfei Chen, Leida Li, Jinjian Wu, Weisheng Dong, Guangming Shi:
Contrastive Self-Supervised Pre-Training for Video Quality Assessment. IEEE Trans. Image Process. 31: 458-471 (2022) - [j52]Wen Yang, Jinjian Wu, Shiwei Tian, Leida Li, Weisheng Dong, Guangming Shi:
Fine-Grained Image Quality Caption With Hierarchical Semantics Degradation. IEEE Trans. Image Process. 31: 3578-3590 (2022) - [j51]Yongxu Liu, Jinjian Wu, Aobo Li, Leida Li, Weisheng Dong, Guangming Shi, Weisi Lin:
Video Quality Assessment With Serial Dependence Modeling. IEEE Trans. Multim. 24: 3754-3768 (2022) - [c40]Yufan Zhu, Weisheng Dong, Leida Li, Jinjian Wu, Xin Li, Guangming Shi:
Robust Depth Completion with Uncertainty-Driven Loss Functions. AAAI 2022: 3626-3634 - [c39]Zhenxuan Fang, Weisheng Dong, Xin Li, Jinjian Wu, Leida Li, Guangming Shi:
Uncertainty Learning in Kernel Estimation for Multi-stage Blind Image Super-Resolution. ECCV (18) 2022: 144-161 - [c38]Zhou Yang, Weisheng Dong, Xin Li, Jinjian Wu, Leida Li, Guangming Shi:
Self-feature Distillation with Uncertainty Modeling for Degraded Image Recognition. ECCV (24) 2022: 552-569 - [c37]Mengluan Huang, Le Dong, Weisheng Dong, Guangming Shi:
Supervised Contrastive Learning-Based Deep Hash Retrieval for Remote Sensing Image. IGARSS 2022: 1512-1515 - [c36]Qian Ning, Jingzhu Tang, Fangfang Wu, Weisheng Dong, Xin Li, Guangming Shi:
Learning Degradation Uncertainty for Unsupervised Real-world Image Super-resolution. IJCAI 2022: 1261-1267 - [c35]Xiaotong Lu, Teng Xi, Baopu Li, Gang Zhang, Weisheng Dong, Guangming Shi:
Bayesian based Re-parameterization for DNN Model Pruning. ACM Multimedia 2022: 1367-1375 - [c34]Wen Yang, Jinjian Wu, Jupo Ma, Leida Li, Weisheng Dong, Guangming Shi:
Learning for Motion Deblurring with Hybrid Frames and Events. ACM Multimedia 2022: 1396-1404 - [c33]Huachen Fang, Jinjian Wu, Leida Li, Junhui Hou, Weisheng Dong, Guangming Shi:
AEDNet: Asynchronous Event Denoising with Spatial-Temporal Correlation among Irregular Data. ACM Multimedia 2022: 1427-1435 - [c32]Qian Ning, Fangfang Wu, Weisheng Dong, Jinjian Wu, Guangming Shi, Xin Li:
Robust Dynamic Background Modeling for Foreground Estimation. VCIP 2022: 1-5 - 2021
- [j50]Lu Sun, Weisheng Dong, Xin Li, Jinjian Wu, Leida Li, Guangming Shi:
Deep Maximum a Posterior Estimator for Video Denoising. Int. J. Comput. Vis. 129(10): 2827-2845 (2021) - [j49]Fangfang Wu, Tao Huang, Weisheng Dong, Guangming Shi, Zhonglong Zheng, Xin Li:
Toward blind joint demosaicing and denoising of raw color filter array data. Neurocomputing 453: 369-382 (2021) - [j48]Jinjian Wu, Wen Yang, Leida Li, Weisheng Dong, Guangming Shi, Weisi Lin:
Blind image quality prediction with hierarchical feature aggregation. Inf. Sci. 552: 167-182 (2021) - [j47]Qian Ning, Weisheng Dong, Guangming Shi, Leida Li, Xin Li:
Accurate and Lightweight Image Super-Resolution With Model-Guided Deep Unfolding Network. IEEE J. Sel. Top. Signal Process. 15(2): 240-252 (2021) - [j46]Fangfang Wu, Peng Yuan, Guangming Shi, Xin Li, Weisheng Dong, Jinjian Wu:
Robust subspace clustering network with dual-domain regularization. Pattern Recognit. Lett. 149: 44-50 (2021) - [j45]Fangfang Wu, Weisheng Dong, Tao Huang, Guangming Shi, Shaoyuan Cheng, Xin Li:
Hybrid sparsity learning for image restoration: An iterative and trainable approach. Signal Process. 178: 107751 (2021) - [j44]Jupo Ma, Jinjian Wu, Leida Li, Weisheng Dong, Xuemei Xie, Guangming Shi, Weisi Lin:
Blind Image Quality Assessment With Active Inference. IEEE Trans. Image Process. 30: 3650-3663 (2021) - [j43]Weisheng Dong, Chen Zhou, Fangfang Wu, Jinjian Wu, Guangming Shi, Xin Li:
Model-Guided Deep Hyperspectral Image Super-Resolution. IEEE Trans. Image Process. 30: 5754-5768 (2021) - [j42]Jinjian Wu, Chuanwei Ma, Leida Li, Weisheng Dong, Guangming Shi:
Probabilistic Undirected Graph Based Denoising Method for Dynamic Vision Sensor. IEEE Trans. Multim. 23: 1148-1159 (2021) - [c31]Tao Huang, Weisheng Dong, Xin Yuan, Jinjian Wu, Guangming Shi:
Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging. CVPR 2021: 16216-16225 - [c30]Pengfei Chen, Leida Li, Jinjian Wu, Weisheng Dong, Guangming Shi:
Unsupervised Curriculum Domain Adaptation for No-Reference Video Quality Assessment. ICCV 2021: 5158-5167 - [c29]Jinjian Wu, Yongxu Liu, Leida Li, Weisheng Dong, Guangming Shi:
No-Reference Video Quality Assessment with Heterogeneous Knowledge Ensemble. ACM Multimedia 2021: 4174-4182 - [c28]Wen Yang, Jinjian Wu, Leida Li, Weisheng Dong, Guangming Shi:
Image Quality Caption with Attentive and Recurrent Semantic Attractor Network. ACM Multimedia 2021: 4501-4509 - [c27]Qian Ning, Weisheng Dong, Xin Li, Jinjian Wu, Guangming Shi:
Uncertainty-Driven Loss for Single Image Super-Resolution. NeurIPS 2021: 16398-16409 - [e2]Lu Fang, Yiran Chen, Guangtao Zhai, Z. Jane Wang, Ruiping Wang, Weisheng Dong:
Artificial Intelligence - First CAAI International Conference, CICAI 2021, Hangzhou, China, June 5-6, 2021, Proceedings, Part I. Lecture Notes in Computer Science 13069, Springer 2021, ISBN 978-3-030-93045-5 [contents] - [e1]Lu Fang, Yiran Chen, Guangtao Zhai, Z. Jane Wang, Ruiping Wang, Weisheng Dong:
Artificial Intelligence - First CAAI International Conference, CICAI 2021, Hangzhou, China, June 5-6, 2021, Proceedings, Part II. Lecture Notes in Computer Science 13070, Springer 2021, ISBN 978-3-030-93048-6 [contents] - [i13]Tao Huang, Weisheng Dong, Xin Yuan, Jinjian Wu, Guangming Shi:
Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging. CoRR abs/2103.07152 (2021) - [i12]Qian Ning, Weisheng Dong, Xin Li, Jinjian Wu, Leida Li, Guangming Shi:
Searching Efficient Model-guided Deep Network for Image Denoising. CoRR abs/2104.02525 (2021) - [i11]Han Huang, Li Shen, Chaoyang He, Weisheng Dong, Haozhi Huang, Guangming Shi:
Lightweight Image Super-Resolution with Hierarchical and Differentiable Neural Architecture Search. CoRR abs/2105.03939 (2021) - [i10]Yang Wu, Dingheng Wang, Xiaotong Lu, Fan Yang, Guoqi Li, Weisheng Dong, Jianbo Shi:
Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions. CoRR abs/2108.13055 (2021) - [i9]Yufan Zhu, Weisheng Dong, Leida Li, Jinjian Wu, Xin Li, Guangming Shi:
Robust Depth Completion with Uncertainty-Driven Loss Functions. CoRR abs/2112.07895 (2021) - 2020
- [j41]Tao Huang, Weisheng Dong, Jinshan Liu, Fangfang Wu, Guangming Shi, Xin Li:
Accelerating Convolutional Neural Network via Structured Gaussian Scale Mixture Models: A Joint Grouping and Pruning Approach. IEEE J. Sel. Top. Signal Process. 14(4): 817-827 (2020) - [j40]Jinjian Wu, Jupo Ma, Fuhu Liang, Weisheng Dong, Guangming Shi, Weisi Lin:
End-to-End Blind Image Quality Prediction With Cascaded Deep Neural Network. IEEE Trans. Image Process. 29: 7414-7426 (2020) - [c26]Qian Ning, Weisheng Dong, Fangfang Wu, Jinjian Wu, Jie Lin, Guangming Shi:
Spatial-Temporal Gaussian Scale Mixture Modeling for Foreground Estimation. AAAI 2020: 11791-11798 - [c25]Hancheng Zhu, Leida Li, Jinjian Wu, Weisheng Dong, Guangming Shi:
MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment. CVPR 2020: 14131-14140 - [c24]Jupo Ma, Jinjian Wu, Leida Li, Weisheng Dong, Xuemei Xie:
Active Inference of GAN for No-Reference Image Quality Assessment. ICME 2020: 1-6 - [c23]Xiaotong Lu, Han Huang, Weisheng Dong, Xin Li, Guangming Shi:
Beyond Network Pruning: a Joint Search-and-Training Approach. IJCAI 2020: 2583-2590 - [i8]Hancheng Zhu, Leida Li, Jinjian Wu, Weisheng Dong, Guangming Shi:
MetaIQA: Deep Meta-learning for No-Reference Image Quality Assessment. CoRR abs/2004.05508 (2020) - [i7]Qian Ning, Weisheng Dong, Guangming Shi, Leida Li, Xin Li:
Accurate and Lightweight Image Super-Resolution with Model-Guided Deep Unfolding Network. CoRR abs/2009.06254 (2020)
2010 – 2019
- 2019
- [j39]Xiaotong Lu, Heng Wang, Weisheng Dong, Fangfang Wu, Zhonglong Zheng, Guangming Shi:
Learning a Deep Vector Quantization Network for Image Compression. IEEE Access 7: 118815-118825 (2019) - [j38]Guangming Shi, Wenfei Wan, Jinjian Wu, Xuemei Xie, Weisheng Dong, Hong Ren Wu:
SISRSet: Single image super-resolution subjective evaluation test and objective quality assessment. Neurocomputing 360: 37-51 (2019) - [j37]Jinjian Wu, Man Zhang, Leida Li, Weisheng Dong, Guangming Shi, Weisi Lin:
No-reference image quality assessment with visual pattern degradation. Inf. Sci. 504: 487-500 (2019) - [j36]Jinjian Wu, Jichen Zeng, Weisheng Dong, Guangming Shi, Weisi Lin:
Blind image quality assessment with hierarchy: Degradation from local structure to deep semantics. J. Vis. Commun. Image Represent. 58: 353-362 (2019) - [j35]Weisheng Dong, Peiyao Wang, Wotao Yin, Guangming Shi, Fangfang Wu, Xiaotong Lu:
Denoising Prior Driven Deep Neural Network for Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 41(10): 2305-2318 (2019) - [j34]Jianqiang Song, Xuemei Xie, Guangming Shi, Weisheng Dong:
Multi-layer discriminative dictionary learning with locality constraint for image classification. Pattern Recognit. 91: 135-146 (2019) - [j33]Xinwei He, Baoguang Shi, Xiang Bai, Gui-Song Xia, Zhaoxiang Zhang, Weisheng Dong:
Image Caption Generation with Part of Speech Guidance. Pattern Recognit. Lett. 119: 229-237 (2019) - [j32]Weisheng Dong, Huan Wang, Fangfang Wu, Guangming Shi, Xin Li:
Deep Spatial-Spectral Representation Learning for Hyperspectral Image Denoising. IEEE Trans. Computational Imaging 5(4): 635-648 (2019) - [j31]Jinjian Wu, Yongxu Liu, Weisheng Dong, Guangming Shi, Weisi Lin:
Quality Assessment for Video With Degradation Along Salient Trajectories. IEEE Trans. Multim. 21(11): 2738-2749 (2019) - [c22]Jinjian Wu, Jupo Ma, Fuhu Liang, Weisheng Dong, Guangming Shi:
End-to-End Blind Image Quality Assessment with Cascaded Deep Features. ICME 2019: 1858-1863 - 2018
- [j30]Xuemei Xie, Yongbo Li, Weisheng Dong, Guangming Shi, Xin Li, Zhonglong Zheng:
Learning Parametric Sparse Models for Heavy Noisy Removal From Images. IEEE Access 6: 15823-15834 (2018) - [j29]Jianqiang Song, Xuemei Xie, Guangming Shi, Weisheng Dong:
Exploiting class-wise coding coefficients: Learning a discriminative dictionary for pattern classification. Neurocomputing 321: 114-125 (2018) - [j28]Weisheng Dong, Tao Huang, Guangming Shi, Yi Ma, Xin Li:
Robust Tensor Approximation With Laplacian Scale Mixture Modeling for Multiframe Image and Video Denoising. IEEE J. Sel. Top. Signal Process. 12(6): 1435-1448 (2018) - [j27]Yongbo Li, Weisheng Dong, Xuemei Xie, Guangming Shi, Jinjian Wu, Xin Li:
Image Super-Resolution With Parametric Sparse Model Learning. IEEE Trans. Image Process. 27(9): 4638-4650 (2018) - [j26]Guangming Shi, Tao Huang, Weisheng Dong, Jinjian Wu, Xuemei Xie:
Robust Foreground Estimation via Structured Gaussian Scale Mixture Modeling. IEEE Trans. Image Process. 27(10): 4810-4824 (2018) - [j25]Yu Zhou, Leida Li, Jinjian Wu, Ke Gu, Weisheng Dong, Guangming Shi:
Blind Quality Index for Multiply Distorted Images Using Biorder Structure Degradation and Nonlocal Statistics. IEEE Trans. Multim. 20(11): 3019-3032 (2018) - [c21]Wenfei Wan, Jinjian Wu, Guangming Shi, Yongbo Li, Weisheng Dong:
Super-Resolution Quality Assessment: Subjective Evaluation Database and Quality Index Based on Perceptual Structure Measurement. ICME 2018: 1-6 - [c20]Tao Huang, Fangfang Wu, Weisheng Dong, Guangming Shi, Xin Li:
Lightweight Deep Residue Learning for Joint Color Image Demosaicking and Denoising. ICPR 2018: 127-132 - [c19]Fangfang Wu, Yifan Li, Jianwen Han, Weisheng Dong, Guangming Shi:
Perceptual Image Dehazing Based on Generative Adversarial Learning. PCM (1) 2018: 877-887 - [i6]Weisheng Dong, Peiyao Wang, Wotao Yin, Guangming Shi, Fangfang Wu, Xiaotong Lu:
Denoising Prior Driven Deep Neural Network for Image Restoration. CoRR abs/1801.06756 (2018) - [i5]Xiaotong Lu, Weisheng Dong, Peiyao Wang, Guangming Shi, Xuemei Xie:
ConvCSNet: A Convolutional Compressive Sensing Framework Based on Deep Learning. CoRR abs/1801.10342 (2018) - [i4]Weisheng Dong, Ming Yuan, Xin Li, Guangming Shi:
Joint Demosaicing and Denoising with Perceptual Optimization on a Generative Adversarial Network. CoRR abs/1802.04723 (2018) - [i3]Weisheng Dong, Zhangxi Yan, Xin Li, Guangming Shi:
Learning Hybrid Sparsity Prior for Image Restoration: Where Deep Learning Meets Sparse Coding. CoRR abs/1807.06920 (2018) - 2017
- [j24]Xuemei Xie, Yazhong Zhang, Jinjian Wu, Guangming Shi, Weisheng Dong:
Bag-of-words feature representation for blind image quality assessment with local quantized pattern. Neurocomputing 266: 176-187 (2017) - [j23]Jinjian Wu, Leida Li, Weisheng Dong, Guangming Shi, Weisi Lin, C.-C. Jay Kuo:
Enhanced Just Noticeable Difference Model for Images With Pattern Complexity. IEEE Trans. Image Process. 26(6): 2682-2693 (2017) - [j22]Tao Huang, Weisheng Dong, Xuemei Xie, Guangming Shi, Xiang Bai:
Mixed Noise Removal via Laplacian Scale Mixture Modeling and Nonlocal Low-Rank Approximation. IEEE Trans. Image Process. 26(7): 3171-3186 (2017) - [j21]Weisheng Dong, Guangming Shi, Xin Li, Kefan Peng, Jinjian Wu, Zhenhua Guo:
Color-Guided Depth Recovery via Joint Local Structural and Nonlocal Low-Rank Regularization. IEEE Trans. Multim. 19(2): 293-301 (2017) - [p1]Xin Li, Weisheng Dong, Guangming Shi:
Sparsity Based Nonlocal Image Restoration: An Alternating Optimization Approach. Handbook of Convex Optimization Methods in Imaging Science 2017: 157-176 - [i2]Yang Zhao, Ronggang Wang, Weisheng Dong, Wei Jia, Jianchao Yang, Xiaoping Liu, Wen Gao:
GUN: Gradual Upsampling Network for single image super-resolution. CoRR abs/1703.04244 (2017) - 2016
- [j20]Ying Fu, Weisheng Dong:
3D magnetic resonance image denoising using low-rank tensor approximation. Neurocomputing 195: 30-39 (2016) - [j19]Weisheng Dong, Fazuo Fu, Guangming Shi, Xun Cao, Jinjian Wu, Guangyu Li, Xin Li:
Hyperspectral Image Super-Resolution via Non-Negative Structured Sparse Representation. IEEE Trans. Image Process. 25(5): 2337-2352 (2016) - [c18]Yongbo Li, Weisheng Dong, Xuemei Xie, Guangming Shi, Xin Li, Donglai Xu:
Learning Parametric Sparse Models for Image Super-Resolution. NIPS 2016: 4664-4672 - 2015
- [j18]Weisheng Dong, Guangming Shi, Yi Ma, Xin Li:
Image Restoration via Simultaneous Sparse Coding: Where Structured Sparsity Meets Gaussian Scale Mixture. Int. J. Comput. Vis. 114(2-3): 217-232 (2015) - [j17]Fangfang Shen, Guanghui Zhao, Guangming Shi, Weisheng Dong, Chenglong Wang, Yi Niu:
Compressive SAR Imaging with Joint Sparsity and Local Similarity Exploitation. Sensors 15(2): 4176-4192 (2015) - [j16]Jinjian Wu, Weisi Lin, Guangming Shi, Yazhong Zhang, Weisheng Dong, Zhibo Chen:
Visual Orientation Selectivity Based Structure Description. IEEE Trans. Image Process. 24(11): 4602-4613 (2015) - [c17]Dandan Zhao, Weisheng Dong, Guangming Shi, Feng Huang:
Compressive sensing recovery of dynamic MRI via nonlocal low-rank regularization. ChinaSIP 2015: 151-155 - [c16]Weisheng Dong, Guangyu Li, Guangming Shi, Xin Li, Yi Ma:
Low-Rank Tensor Approximation with Laplacian Scale Mixture Modeling for Multiframe Image Denoising. ICCV 2015: 442-449 - [c15]Yongbo Li, Weisheng Dong, Guangming Shi, Xuemei Xie:
Learning Parametric Distributions for Image Super-Resolution: Where Patch Matching Meets Sparse Coding. ICCV 2015: 450-458 - 2014
- [j15]Weisheng Dong, Guangming Shi, Xin Li, Yi Ma, Feng Huang:
Compressive Sensing via Nonlocal Low-Rank Regularization. IEEE Trans. Image Process. 23(8): 3618-3632 (2014) - [j14]Weisheng Dong, Guangming Shi, Xiaocheng Hu, Yi Ma:
Nonlocal Sparse and Low-Rank Regularization for Optical Flow Estimation. IEEE Trans. Image Process. 23(10): 4527-4538 (2014) - [j13]Weisheng Dong, Xiaolin Wu, Guangming Shi:
Sparsity Fine Tuning in Wavelet Domain With Application to Compressive Image Reconstruction. IEEE Trans. Image Process. 23(12): 5249-5262 (2014) - [c14]Weisheng Dong, Xiaolin Wu, Guangming Shi:
Sparsity fine tuning in wavelet domain with application to compressive image reconstruction. ICASSP 2014: 4948-4952 - [c13]Weisheng Dong, Xin Li, Yi Ma, Guangming Shi:
Image restoration via Bayesian structured sparse coding. ICIP 2014: 4018-4022 - 2013
- [j12]Weisheng Dong, Guangming Shi, Xiaolin Wu, Lei Zhang:
A learning-based method for compressive image recovery. J. Vis. Commun. Image Represent. 24(7): 1055-1063 (2013) - [j11]Weisheng Dong, Guangming Shi, Xin Li:
Nonlocal Image Restoration With Bilateral Variance Estimation: A Low-Rank Approach. IEEE Trans. Image Process. 22(2): 700-711 (2013) - [j10]Weisheng Dong, Lei Zhang, Rastislav Lukac, Guangming Shi:
Sparse Representation Based Image Interpolation With Nonlocal Autoregressive Modeling. IEEE Trans. Image Process. 22(4): 1382-1394 (2013) - [j9]Weisheng Dong, Lei Zhang, Guangming Shi, Xin Li:
Nonlocally Centralized Sparse Representation for Image Restoration. IEEE Trans. Image Process. 22(4): 1620-1630 (2013) - [c12]Shuhong Jiao, Weisheng Dong:
SAR Image Quality Assessment Based on SSIM Using Textural Feature. ICIG 2013: 281-286 - 2012
- [j8]Weisheng Dong, Guangming Shi, Xin Li, Lei Zhang, Xiaolin Wu:
Image reconstruction with locally adaptive sparsity and nonlocal robust regularization. Signal Process. Image Commun. 27(10): 1109-1122 (2012) - [j7]Xiaolin Wu, Weisheng Dong, Xiangjun Zhang, Guangming Shi:
Model-Assisted Adaptive Recovery of Compressed Sensing with Imaging Applications. IEEE Trans. Image Process. 21(2): 451-458 (2012) - [c11]Weisheng Dong, Guangming Shi, Xin Li:
Image deblurring with low-rank approximation structured sparse representation. APSIPA 2012: 1-5 - 2011
- [j6]Weisheng Dong, Lei Zhang, Guangming Shi, Xiaolin Wu:
Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive Regularization. IEEE Trans. Image Process. 20(7): 1838-1857 (2011) - [c10]Weisheng Dong, Xin Li, Lei Zhang, Guangming Shi:
Sparsity-based image denoising via dictionary learning and structural clustering. CVPR 2011: 457-464 - [c9]Weisheng Dong, Lei Zhang, Guangming Shi:
Centralized sparse representation for image restoration. ICCV 2011: 1259-1266 - [c8]Weisheng Dong, Xin Li, Lei Zhang, Guangming Shi:
Sparsity-based image deblurring with locally adaptive and nonlocally robust regularization. ICIP 2011: 1841-1844 - 2010
- [j5]Guangming Shi, Weisheng Dong, Xiaolin Wu, Lei Zhang:
Context-based adaptive image resolution upconversion. J. Electronic Imaging 19(1): 013008 (2010) - [j4]Lei Zhang, Weisheng Dong, David Zhang, Guangming Shi: