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2020 – today
- 2024
[j8]Hanning Xu, Pan Mu, Zheyuan Liu, Shichao Cheng:
Underwater image enhancement via color conversion and white balance-based fusion. Vis. Comput. 40(10): 7185-7200 (2024)- [c14]Hanting Yan, Pan Mu, Cheng Huang, Jinglin Zhang, Cong Bai:
Phy-CoCo: Physical Constraint-Based Correlation Learning for Tropical Cyclone Intensity and Size Estimation. ECAI 2024: 2226-2233 - [c13]Pan Mu, Binjia Zhou, Qirui Wang, Zhiying Du, Xiaoyan Wang:
BFMEF: Brightness-Free Multi-exposure Image Fusion via Adaptive Correction. ICME 2024: 1-6 - [i12]Pan Mu, Zhiying Du, Jinyuan Liu
, Cong Bai:
Little Strokes Fell Great Oaks: Boosting the Hierarchical Features for Multi-exposure Image Fusion. CoRR abs/2404.06033 (2024) - 2023
- [j7]Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
A General Descent Aggregation Framework for Gradient-Based Bi-Level Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 38-57 (2023) - [j6]Risheng Liu, Zhu Liu, Pan Mu, Xin Fan, Zhongxuan Luo:
Optimization-Inspired Learning With Architecture Augmentations and Control Mechanisms for Low-Level Vision. IEEE Trans. Image Process. 32: 6075-6089 (2023) - [c12]Pan Mu, Jing Fang, Haotian Qian, Cong Bai:
Transmission and Color-guided Network for Underwater Image Enhancement. ICME 2023: 1337-1342 - [c11]Zheyuan Liu, Pan Mu, Hanning Xu, Cong Bai:
Histogram-guided Video Colorization Structure with Spatial-Temporal Connection. ICME 2023: 1625-1630 - [c10]Defang Cai, Pan Mu, Sixian Chan, Zhanpeng Shao, Cong Bai:
Towards General and Fast Video Derain via Knowledge Distillation. ICME 2023: 1949-1954 - [c9]Pan Mu, Zhiying Du, Jinyuan Liu, Cong Bai:
Little Strokes Fell Great Oaks: Boosting the Hierarchical Features for Multi-exposure Image Fusion. ACM Multimedia 2023: 2985-2993 - [c8]Pan Mu, Hanning Xu, Zheyuan Liu, Zheng Wang, Sixian Chan, Cong Bai:
A Generalized Physical-knowledge-guided Dynamic Model for Underwater Image Enhancement. ACM Multimedia 2023: 7111-7120 - [i11]Pan Mu, Jing Fang, Haotian Qian, Cong Bai:
Transmission and Color-guided Network for Underwater Image Enhancement. CoRR abs/2308.04892 (2023) - [i10]Zheyuan Liu, Pan Mu, Hanning Xu, Cong Bai:
Histogram-guided Video Colorization Structure with Spatial-Temporal Connection. CoRR abs/2308.04899 (2023) - [i9]Defang Cai, Pan Mu, Sixian Chan, Zhanpeng Shao, Cong Bai:
Towards General and Fast Video Derain via Knowledge Distillation. CoRR abs/2308.05346 (2023) - [i8]Pan Mu, Hanning Xu, Zheyuan Liu, Zheng Wang, Sixian Chan, Cong Bai:
A Generalized Physical-knowledge-guided Dynamic Model for Underwater Image Enhancement. CoRR abs/2308.05447 (2023) - 2022
- [j5]Pan Mu, Zhu Liu, Yaohua Liu, Risheng Liu, Xin Fan:
Triple-Level Model Inferred Collaborative Network Architecture for Video Deraining. IEEE Trans. Image Process. 31: 239-250 (2022) - [c7]Andrey Ignatov, Radu Timofte, Jin Zhang, Feng Zhang, Gaocheng Yu, Zhe Ma, Hongbin Wang, Minsu Kwon, Haotian Qian, Wentao Tong, Pan Mu, Ziping Wang, Guangjing Yan, Brian Lee, Lei Fei, Huaijin G. Chen, Hyebin Cho, Byeongjun Kwon, Munchurl Kim, Mingyang Qian, Huixin Ma, Yanan Li, Xiaotao Wang, Lei Lei:
Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 Challenge: Report. ECCV Workshops (3) 2022: 153-173 - [c6]Pan Mu, Haotian Qian, Cong Bai:
Structure-Inferred Bi-level Model for Underwater Image Enhancement. ACM Multimedia 2022: 2286-2295 - [c5]Haotian Qian, Wentao Tong, Pan Mu, Zheyuan Liu, Hanning Xu:
Real-world Underwater Image Enhancement via Degradation-aware Dynamic Network. PRICAI (3) 2022: 530-541 - [i7]Andrey Ignatov, Radu Timofte, Jin Zhang, Feng Zhang, Gaocheng Yu, Zhe Ma, Hongbin Wang, Minsu Kwon, Haotian Qian, Wentao Tong, Pan Mu, Ziping Wang, Guangjing Yan, Brian Lee, Lei Fei, Huaijin G. Chen, Hyebin Cho, Byeongjun Kwon, Munchurl Kim, Mingyang Qian, Huixin Ma, Yanan Li, Xiaotao Wang, Lei Lei:
Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 challenge: Report. CoRR abs/2211.06769 (2022) - 2021
- [j4]Risheng Liu, Pan Mu, Jin Zhang:
Investigating Customization Strategies and Convergence Behaviors of Task-Specific ADMM. IEEE Trans. Image Process. 30: 8278-8292 (2021) - [i6]Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
A Generic Descent Aggregation Framework for Gradient-based Bi-level Optimization. CoRR abs/2102.07976 (2021) - [i5]Pan Mu, Zhu Liu, Yaohua Liu, Risheng Liu, Xin Fan:
Triple-level Model Inferred Collaborative Network Architecture for Video Deraining. CoRR abs/2111.04459 (2021) - 2020
- [j3]Pan Mu, Lei Wang, Chongyang Liu:
A Control Parameterization Method to Solve the Fractional-Order Optimal Control Problem. J. Optim. Theory Appl. 187(1): 234-247 (2020) - [j2]Risheng Liu, Pan Mu, Jian Chen, Xin Fan, Zhongxuan Luo:
Investigating Task-Driven Latent Feasibility for Nonconvex Image Modeling. IEEE Trans. Image Process. 29: 7629-7640 (2020) - [c4]Xinwei Xue, Ying Ding, Pan Mu, Long Ma, Risheng Liu, Xin Fan:
Sequential Deep Unrolling With Flow Priors For Robust Video Deraining. ICASSP 2020: 1813-1817 - [c3]Pan Mu, Jian Chen, Risheng Liu, Wei Zhong, Xin Fan, Zhongxuan Luo:
Image Restoration Via Data-Dependent Proximal Averaged Optimization. ICASSP 2020: 2088-2092 - [c2]Jian Chen, Pan Mu, Risheng Liu, Xin Fan, Zhongxuan Luo:
Flexible Bilevel Image Layer Modeling For Robust Deraining. ICME 2020: 1-6 - [c1]Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton. ICML 2020: 6305-6315 - [i4]Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang:
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton. CoRR abs/2006.04045 (2020) - [i3]Risheng Liu, Zhu Liu, Pan Mu, Zhouchen Lin, Xin Fan, Zhongxuan Luo:
Learning Optimization-inspired Image Propagation with Control Mechanisms and Architecture Augmentations for Low-level Vision. CoRR abs/2012.05435 (2020)
2010 – 2019
- 2019
- [j1]Pan Mu, Jian Chen, Risheng Liu, Xin Fan, Zhongxuan Luo:
Learning Bilevel Layer Priors for Single Image Rain Streaks Removal. IEEE Signal Process. Lett. 26(2): 307-311 (2019) - [i2]Risheng Liu, Pan Mu, Jin Zhang:
On the Convergence of ADMM with Task Adaption and Beyond. CoRR abs/1909.10819 (2019) - [i1]Risheng Liu, Pan Mu, Jian Chen, Xin Fan, Zhongxuan Luo:
Investigating Task-driven Latent Feasibility for Nonconvex Image Modeling. CoRR abs/1910.08242 (2019)
Coauthor Index
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last updated on 2024-10-28 21:13 CET by the dblp team
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