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2020 – today
- 2023
[i6]Xiang Li, Jinshan Pan, Jinhui Tang, Jiangxin Dong:
DLGSANet: Lightweight Dynamic Local and Global Self-Attention Networks for Image Super-Resolution. CoRR abs/2301.02031 (2023)- [i5]Long Sun, Jiangxin Dong, Jinhui Tang, Jinshan Pan:
Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution. CoRR abs/2302.13800 (2023) - [i4]Cong Wang, Jinshan Pan, Wanyu Lin, Jiangxin Dong, Xiao-Ming Wu:
SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency. CoRR abs/2303.07033 (2023) - 2022
- [j7]Jiangxin Dong
, Jinshan Pan, Jimmy S. Ren, Liang Lin, Jinhui Tang, Ming-Hsuan Yang:
Learning Spatially Variant Linear Representation Models for Joint Filtering. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8355-8370 (2022) - [j6]Jiangxin Dong, Stefan Roth, Bernt Schiele:
DWDN: Deep Wiener Deconvolution Network for Non-Blind Image Deblurring. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9960-9976 (2022) - [i3]Lingshun Kong, Jiangxin Dong, Mingqiang Li, Jianjun Ge, Jinshan Pan:
Efficient Frequency Domain-based Transformers for High-Quality Image Deblurring. CoRR abs/2211.12250 (2022) - 2021
- [j5]Jinshan Pan, Jiangxin Dong, Yang Liu, Jiawei Zhang, Jimmy S. J. Ren, Jinhui Tang, Yu-Wing Tai, Ming-Hsuan Yang:
Physics-Based Generative Adversarial Models for Image Restoration and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 43(7): 2449-2462 (2021) - [j4]Jiangxin Dong, Jinshan Pan:
Deep Outlier Handling for Image Deblurring. IEEE Trans. Image Process. 30: 1799-1811 (2021) - [c10]Jiangxin Dong, Stefan Roth, Bernt Schiele:
Learning Spatially-Variant MAP Models for Non-Blind Image Deblurring. CVPR 2021: 4886-4895 - [c9]Jinshan Pan, Haoran Bai, Jiangxin Dong, Jiawei Zhang, Jinhui Tang:
Deep Blind Video Super-resolution. ICCV 2021: 4791-4800 - [i2]Jiangxin Dong, Stefan Roth, Bernt Schiele:
Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring. CoRR abs/2103.09962 (2021) - 2020
- [c8]Jiangxin Dong, Jinshan Pan:
Physics-Based Feature Dehazing Networks. ECCV (30) 2020: 188-204 - [c7]Jiangxin Dong, Stefan Roth, Bernt Schiele:
Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring. NeurIPS 2020
2010 – 2019
- 2019
- [c6]Jinshan Pan, Jiangxin Dong, Jimmy S. J. Ren, Liang Lin, Jinhui Tang, Ming-Hsuan Yang:
Spatially Variant Linear Representation Models for Joint Filtering. CVPR 2019: 1702-1711 - 2018
- [c5]Jiangxin Dong, Jinshan Pan, Deqing Sun, Zhixun Su, Ming-Hsuan Yang:
Learning Data Terms for Non-blind Deblurring. ECCV (11) 2018: 777-792 - [i1]Jinshan Pan, Yang Liu, Jiangxin Dong, Jiawei Zhang, Jimmy S. J. Ren, Jinhui Tang, Yu-Wing Tai, Ming-Hsuan Yang:
Physics-Based Generative Adversarial Models for Image Restoration and Beyond. CoRR abs/1808.00605 (2018) - 2017
- [j3]Jiangxin Dong, Jin-shan Pan, Zhixun Su:
Blur kernel estimation via salient edges and low rank prior for blind image deblurring. Signal Process. Image Commun. 58: 134-145 (2017) - [c4]Jinshan Pan, Jiangxin Dong, Yu-Wing Tai, Zhixun Su, Ming-Hsuan Yang:
Learning Discriminative Data Fitting Functions for Blind Image Deblurring. ICCV 2017: 1077-1085 - [c3]Jiangxin Dong, Jinshan Pan, Zhixun Su, Ming-Hsuan Yang:
Blind Image Deblurring with Outlier Handling. ICCV 2017: 2497-2505 - 2016
- [j2]Kewei Tang, David B. Dunson, Zhixun Su, Risheng Liu, Jie Zhang, Jiangxin Dong:
Subspace segmentation by dense block and sparse representation. Neural Networks 75: 66-76 (2016) - [j1]Kewei Tang, Jie Zhang, Zhixun Su, Jiangxin Dong:
Bayesian Low-Rank and Sparse Nonlinear Representation for Manifold Clustering. Neural Process. Lett. 44(3): 719-733 (2016) - [c2]Jiangxin Dong, Risheng Liu, Kewei Tang, Yiyang Wang, Xindong Zhang, Zhixun Su:
Sparse Gradient Pursuit for Robust Visual Analysis. ACCV (1) 2016: 369-384 - [c1]Kewei Tang, Xiaodong Liu, Zhixun Su, Wei Jiang, Jiangxin Dong:
Subspace Learning Based Low-Rank Representation. ACCV (1) 2016: 416-431
Coauthor Index
aka: Jin-shan Pan
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