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Journal Articles
- 2024
[j85]Yufan Zhu
, Rui Ren, Weisheng Dong, Xin Li, Guangming Shi:
TSUDepth: Exploring temporal symmetry-based uncertainty for unsupervised monocular depth estimation. Neurocomputing 600: 128165 (2024)- [j84]Tianshu Song, Leida Li, Jinjian Wu, Weisheng Dong, Deqiang Cheng:
Quality-aware blind image motion deblurring. Pattern Recognit. 153: 110568 (2024) - [j83]Lu Sun, Jie Lin, Weisheng Dong, Xin Li, Jinjian Wu, Guangming Shi:
Learning real-world heterogeneous noise models with a benchmark dataset. Pattern Recognit. 156: 110823 (2024) - [j82]Le Dong, Yige Mo, Hao Sun, Fangfang Wu, Weisheng Dong:
Memory Augmentation and Non-Local Spectral Attention for Hyperspectral Denoising. Remote. Sens. 16(11): 1937 (2024) - [j81]Zhaoxin Liu, Jinjian Wu, Guangming Shi, Wen Yang, Weisheng Dong, Qinghang Zhao:
Motion-Oriented Hybrid Spiking Neural Networks for Event-Based Motion Deblurring. IEEE Trans. Circuits Syst. Video Technol. 34(5): 3742-3754 (2024) - [j80]Yulin Sun, Weisheng Dong, Xin Li, Le Dong, Guangming Shi, Xuemei Xie:
TransVQA: Transferable Vector Quantization Alignment for Unsupervised Domain Adaptation. IEEE Trans. Image Process. 33: 856-866 (2024) - [j79]Lu Sun, Fangfang Wu, Wei Ding, Xin Li, Jie Lin, Weisheng Dong, Guangming Shi:
Multi-Scale Spatio-Temporal Memory Network for Lightweight Video Denoising. IEEE Trans. Image Process. 33: 5810-5823 (2024) - [j78]Aobo Li, Jinjian Wu, Yongxu Liu, Leida Li, Weisheng Dong, Guangming Shi:
Blind Image Quality Assessment Based on Perceptual Comparison. IEEE Trans. Multim. 26: 9671-9682 (2024) - 2023
- [j77]Chaohua Wang, Weisheng Dong, Xin Li, Fangfang Wu, Jinjian Wu, Guangming Shi:
Memory Based Temporal Fusion Network for Video Deblurring. Int. J. Comput. Vis. 131(7): 1840-1856 (2023) - [j76]Yongwei Mao, Jinjian Wu, Xing Wang, Leida Li, Weisheng Dong:
Transfer learning for just noticeable difference estimation. Inf. Sci. 648: 119575 (2023) - [j75]Yulin Sun, Guangming Shi, Weisheng Dong, Xuemei Xie:
MADPL-net: Multi-layer attention dictionary pair learning network for image classification. J. Vis. Commun. Image Represent. 90: 103728 (2023) - [j74]Xiaotong Lu, Weisheng Dong, Xin Li, Jinjian Wu, Leida Li, Guangming Shi:
Adaptive Search-and-Training for Robust and Efficient Network Pruning. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9325-9338 (2023) - [j73]Tao Huang, Xin Yuan, Weisheng Dong, Jinjian Wu, Guangming Shi:
Deep Gaussian Scale Mixture Prior for Image Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10778-10794 (2023) - [j72]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) - [j71]Xin Li, Weisheng Dong, Jinjian Wu, Leida Li, Guangming Shi:
Superresolution Image Reconstruction: Selective milestones and open problems. IEEE Signal Process. Mag. 40(5): 54-66 (2023) - [j70]Tianyu Huang, Weisheng Dong, Fangfang Wu, Xin Li, Guangming Shi:
Uncertainty-Driven Knowledge Distillation for Language Model Compression. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2850-2858 (2023) - [j69]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) - [j68]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) - [j67]Pengfei Chen, Leida Li, Haoliang Li, Jinjian Wu, Weisheng Dong, Guangming Shi:
Dynamic Expert-Knowledge Ensemble for Generalizable Video Quality Assessment. IEEE Trans. Circuits Syst. Video Technol. 33(6): 2577-2589 (2023) - [j66]Han Huang, Li Shen, Chaoyang He, Weisheng Dong, Wei Liu:
Differentiable Neural Architecture Search for Extremely Lightweight Image Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 33(6): 2672-2682 (2023) - [j65]Lu Sun, Yichen Wang, Fangfang Wu, Xin Li, Weisheng Dong, Guangming Shi:
Deep Unfolding Network for Efficient Mixed Video Noise Removal. IEEE Trans. Circuits Syst. Video Technol. 33(9): 4715-4727 (2023) - [j64]Mengluan Huang, Le Dong, Weisheng Dong, Guangming Shi:
Supervised Contrastive Learning Based on Fusion of Global and Local Features for Remote Sensing Image Retrieval. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j63]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) - [j62]Junwei Xu, Fangfang Wu, Xin Li, Weisheng Dong, Tao Huang, Guangming Shi:
Spatially Varying Prior Learning for Blind Hyperspectral Image Fusion. IEEE Trans. Image Process. 32: 4416-4431 (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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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:
Two-stage image denoising by principal component analysis with local pixel grouping. Pattern Recognit. 43(4): 1531-1549 (2010) - [j3]Lei Zhang, Weisheng Dong, Xiaolin Wu, Guangming Shi:
Spatial-Temporal Color Video Reconstruction From Noisy CFA Sequence. IEEE Trans. Circuits Syst. Video Technol. 20(6): 838-847 (2010) - 2008
- [j2]Weisheng Dong, Guangming Shi, Jizheng Xu:
Adaptive Nonseparable Interpolation for Image Compression With Directional Wavelet Transform. IEEE Signal Process. Lett. 15: 233-236 (2008) - 2007
- [j1]Weisheng Dong, Guangming Shi, Li Zhang:
Immune memory clonal selection algorithms for designing stack filters. Neurocomputing 70(4-6): 777-784 (2007)
Conference and Workshop Papers
- 2024
- [c51]Wenqi Dang, Zhou Yang, Weisheng Dong, Xin Li, Guangming Shi:
Inverse Weight-Balancing for Deep Long-Tailed Learning. AAAI 2024: 11713-11721 - [c50]Zijie Wu, Mingtao Feng, Yaonan Wang, He Xie, Weisheng Dong, Bo Miao, Ajmal Mian:
External Knowledge Enhanced 3D Scene Generation from Sketch. ECCV (6) 2024: 286-304 - [c49]Yige Mo, Le Dong, Weitong Zhang, Junpeng Zhang, Weisheng Dong:
Hyperspectral Image Denoising Based on Nonlocal Memory-Augmented Spectral Attention. IGARSS 2024: 9362-9365 - [c48]Zhichao Yang, Leida Li, Pengfei Chen, Jinjian Wu, Weisheng Dong:
Semantics-Aware Image Aesthetics Assessment using Tag Matching and Contrastive Ranking. ACM Multimedia 2024: 2632-2641 - 2023
- [c47]Chengxing Xie, Qian Ning, Weisheng Dong, Guangming Shi:
TFRGAN: Leveraging Text Information for Blind Face Restoration with Extreme Degradation. CVPR Workshops 2023: 2535-2545 - [c46]Zhenxuan Fang, Fangfang Wu, Weisheng Dong, Xin Li, Jinjian Wu, Guangming Shi:
Self-supervised Non-uniform Kernel Estimation with Flow-based Motion Prior for Blind Image Deblurring. CVPR 2023: 18105-18114 - [c45]Zhou Yang, Weisheng Dong, Xin Li, Mengluan Huang, Yulin Sun, Guangming Shi:
Vector Quantization with Self-Attention for Quality-Independent Representation Learning. CVPR 2023: 24438-24448 - [c44]Yunlong Liu, Tao Huang, Weisheng Dong, Fangfang Wu, Xin Li, Guangming Shi:
Low-Light Image Enhancement with Multi-stage Residue Quantization and Brightness-aware Attention. ICCV 2023: 12106-12115 - [c43]Qian Ning, Fangfang Wu, Weisheng Dong, Xin Li, Guangming Shi:
Exploring Correlations in Degraded Spatial Identity Features for Blind Face Restoration. ACM Multimedia 2023: 37-45 - [c42]Xiangfei Sheng, Leida Li, Pengfei Chen, Jinjian Wu, Weisheng Dong, Yuzhe Yang, Liwu Xu, Yaqian Li, Guangming Shi:
AesCLIP: Multi-Attribute Contrastive Learning for Image Aesthetics Assessment. ACM Multimedia 2023: 1117-1126 - [c41]Wen Yang, Jinjian Wu, Leida Li, Weisheng Dong, Guangming Shi:
Event-based Motion Deblurring with Modality-Aware Decomposition and Recomposition. ACM Multimedia 2023: 8327-8335 - 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
- [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 - 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 - 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
- [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 - 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
- [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
- [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
- [c12]Shuhong Jiao, Weisheng Dong:
SAR Image Quality Assessment Based on SSIM Using Textural Feature. ICIG 2013: 281-286 - 2012
- [c11]Weisheng Dong, Guangming Shi, Xin Li:
Image deblurring with low-rank approximation structured sparse representation. APSIPA 2012: 1-5 - 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
- [c7]Lei Zhang, Weisheng Dong, Chiu-Wai Hui, Xiaolin Wu, Guangming Shi:
Live demonstration: Spatial-temporal color video reproduction from noisy CFA sequence track: Digital signal processing. ISCAS 2010: 2799 - [c6]Weisheng Dong, Guangming Shi, Lei Zhang, Xiaolin Wu:
Super-resolution with nonlocal regularized sparse representation. VCIP 2010: 77440H - 2009
- [c5]Weisheng Dong, Lei Zhang, Guangming Shi, Xiaolin Wu:
Nonlocal back-projection for adaptive image enlargement. ICIP 2009: 349-352 - [c4]Weisheng Dong, Xiaolin Wu, Guangming Shi, Lei Zhang:
Context-based bias removal of statistical models of wavelet coefficients for image denoising. ICIP 2009: 3841-3844 - [c3]Fangfang Wu, Guangming Shi, Weisheng Dong, Xiaolin Wu:
Learning-based recovery of compressive sensing with application in multiple description coding. MMSP 2009: 1-5 - 2008
- [c2]Weisheng Dong, Guangming Shi, Jizheng Xu:
Signal-adapted directional lifting scheme for image compression. ISCAS 2008: 1392-1395 - 2006
- [c1]Guangming Shi, Weisheng Dong, Li Zhang, Jin Pan:
A New Fast Algorithm for Training Large Window Stack Filters. ICNC (2) 2006: 724-733
Parts in Books or Collections
- 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
Editorship
- 2021
- [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]
Informal and Other Publications
- 2024
- [i21]Huachen Fang, Jinjian Wu, Qibin Hou, Weisheng Dong, Guangming Shi:
Fast Window-Based Event Denoising with Spatiotemporal Correlation Enhancement. CoRR abs/2402.09270 (2024) - [i20]Jie Feng, Hao Huang, Junpeng Zhang, Weisheng Dong, Dingwen Zhang, Licheng Jiao:
SA-MixNet: Structure-aware Mixup and Invariance Learning for Scribble-supervised Road Extraction in Remote Sensing Images. CoRR abs/2403.01381 (2024) - [i19]Qitong Yang, Mingtao Feng, Zijie Wu, Shijie Sun, Weisheng Dong, Yaonan Wang, Ajmal Mian:
Beyond Skeletons: Integrative Latent Mapping for Coherent 4D Sequence Generation. CoRR abs/2403.13238 (2024) - [i18]Zijie Wu, Mingtao Feng, Yaonan Wang, He Xie, Weisheng Dong, Bo Miao, Ajmal Mian:
External Knowledge Enhanced 3D Scene Generation from Sketch. CoRR abs/2403.14121 (2024) - [i17]Haoran Hou, Mingtao Feng, Zijie Wu, Weisheng Dong, Qing Zhu, Yaonan Wang, Ajmal Mian:
3D Object Detection from Point Cloud via Voting Step Diffusion. CoRR abs/2403.14133 (2024) - [i16]Yufan Zhu, Chongzhi Ran, Mingtao Feng, Weisheng Dong, Antonio M. López, Guangming Shi:
Back to the Color: Learning Depth to Specific Color Transformation for Unsupervised Depth Estimation. CoRR abs/2406.07741 (2024) - [i15]Jie Feng, Xiaojian Zhong, Di Li, Weisheng Dong, Ronghua Shang, Licheng Jiao:
Multi-Teacher Multi-Objective Meta-Learning for Zero-Shot Hyperspectral Band Selection. CoRR abs/2406.07949 (2024) - [i14]Jie Feng, Tianshu Zhang, Junpeng Zhang, Ronghua Shang, Weisheng Dong, Guangming Shi, Licheng Jiao:
S4DL: Shift-sensitive Spatial-Spectral Disentangling Learning for Hyperspectral Image Unsupervised Domain Adaptation. CoRR abs/2408.15263 (2024) - 2021
- [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
- [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) - 2018
- [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
- [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) - 2010
- [i1]Weisheng Dong, Lei Zhang, Guangming Shi, Xiaolin Wu:
Image Deblurring and Super-resolution by Adaptive Sparse Domain Selection and Adaptive Regularization. CoRR abs/1012.1184 (2010)
Coauthor Index
[j85] [j83] [j80] [j79] [j77] [j74] [j72] [j71] [j70] [j65] [j63] [j62] [j60] [j58] [j56] [j50] [j49] [j47] [j46] [j45] [j43] [j41] [j32] [j30] [j28] [j27] [j21] [j19] [j18] [j15] [j11] [j9] [j8] [c51] [c46] [c45] [c44] [c43] [c40] [c39] [c38] [c36] [c32] [c27] [c23] [c20] [c18] [c16] [c13] [c11] [c10] [c8] [p1] [i12] [i9] [i7] [i4] [i3]
[j85] [j83] [j81] [j80] [j79] [j78] [j77] [j75] [j74] [j73] [j72] [j71] [j70] [j69] [j68] [j67] [j65] [j64] [j62] [j60] [j59] [j58] [j57] [j56] [j55] [j54] [j53] [j52] [j51] [j50] [j49] [j48] [j47] [j46] [j45] [j44] [j43] [j42] [j41] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [j22] [j21] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c51] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1] [p1] [i21] [i16] [i14] [i13] [i12] [i11] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i1]
[j84] [j83] [j81] [j78] [j77] [j76] [j74] [j73] [j72] [j71] [j69] [j68] [j67] [j63] [j60] [j59] [j58] [j57] [j56] [j55] [j54] [j53] [j52] [j51] [j50] [j48] [j46] [j44] [j43] [j42] [j40] [j38] [j37] [j36] [j31] [j27] [j26] [j25] [j24] [j23] [j21] [j19] [j16] [c48] [c46] [c42] [c41] [c40] [c39] [c38] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c22] [c21] [i21] [i13] [i12] [i9] [i8]
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