Pan Mu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 31

Top Topics

High Level Vision

Histogram Equalization

Image Restoration

Top Venues

IEEE Trans. Image Process.

Publications

Pan Mu, Zhiying Du, Jinyuan Liu, Cong Bai
Little Strokes Fell Great Oaks: Boosting the Hierarchical Features for Multi-exposure Image Fusion. CoRR (2024)
Defang Cai, Pan Mu, Sixian Chan, Zhanpeng Shao, Cong Bai
Towards General and Fast Video Derain via Knowledge Distillation. CoRR (2023)
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)
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 (2023)
Zheyuan Liu, Pan Mu, Hanning Xu, Cong Bai
Histogram-guided Video Colorization Structure with Spatial-Temporal Connection. ICME (2023)
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)
Zheyuan Liu, Pan Mu, Hanning Xu, Cong Bai
Histogram-guided Video Colorization Structure with Spatial-Temporal Connection. CoRR (2023)
Pan Mu, Hanning Xu, Zheyuan Liu, Zheng Wang, Sixian Chan, Cong Bai
A Generalized Physical-knowledge-guided Dynamic Model for Underwater Image Enhancement. CoRR (2023)
Pan Mu, Jing Fang, Haotian Qian, Cong Bai
Transmission and Color-guided Network for Underwater Image Enhancement. ICME (2023)
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) (2023)
Defang Cai, Pan Mu, Sixian Chan, Zhanpeng Shao, Cong Bai
Towards General and Fast Video Derain via Knowledge Distillation. ICME (2023)
Pan Mu, Jing Fang, Haotian Qian, Cong Bai
Transmission and Color-guided Network for Underwater Image Enhancement. CoRR (2023)
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 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)
Haotian Qian, Wentao Tong, Pan Mu, Zheyuan Liu, Hanning Xu
Real-world Underwater Image Enhancement via Degradation-aware Dynamic Network. PRICAI (3) (2022)
Pan Mu, Haotian Qian, Cong Bai
Structure-Inferred Bi-level Model for Underwater Image Enhancement. ACM Multimedia (2022)
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 (2022)
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 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 (2022)
Risheng Liu, Pan Mu, Jin Zhang
Investigating Customization Strategies and Convergence Behaviors of Task-Specific ADMM. IEEE Trans. Image Process. 30 (2021)
Risheng Liu, Pan Mu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang
A Generic Descent Aggregation Framework for Gradient-based Bi-level Optimization. CoRR (2021)
Pan Mu, Zhu Liu, Yaohua Liu, Risheng Liu, Xin Fan
Triple-level Model Inferred Collaborative Network Architecture for Video Deraining. CoRR (2021)
Jian Chen, Pan Mu, Risheng Liu, Xin Fan, Zhongxuan Luo
Flexible Bilevel Image Layer Modeling For Robust Deraining. ICME (2020)
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 (2020)
Risheng Liu, Pan Mu, Jian Chen, Xin Fan, Zhongxuan Luo
Investigating Task-Driven Latent Feasibility for Nonconvex Image Modeling. IEEE Trans. Image Process. 29 (2020)
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 (2020)
Xinwei Xue, Ying Ding, Pan Mu, Long Ma, Risheng Liu, Xin Fan
Sequential Deep Unrolling With Flow Priors For Robust Video Deraining. ICASSP (2020)
Pan Mu, Jian Chen, Risheng Liu, Wei Zhong, Xin Fan, Zhongxuan Luo
Image Restoration Via Data-Dependent Proximal Averaged Optimization. ICASSP (2020)
Pan Mu, Lei Wang, Chongyang Liu
A Control Parameterization Method to Solve the Fractional-Order Optimal Control Problem. J. Optim. Theory Appl. 187 (1) (2020)
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)
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) (2019)
Risheng Liu, Pan Mu, Jin Zhang
On the Convergence of ADMM with Task Adaption and Beyond. CoRR (2019)
Risheng Liu, Pan Mu, Jian Chen, Xin Fan, Zhongxuan Luo
Investigating Task-driven Latent Feasibility for Nonconvex Image Modeling. CoRR (2019)