Pan Mu

Orcid: 0000-0002-5330-2673

According to our database1, Pan Mu authored at least 22 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Optimization-Inspired Learning With Architecture Augmentations and Control Mechanisms for Low-Level Vision.
IEEE Trans. Image Process., 2023

A General Descent Aggregation Framework for Gradient-Based Bi-Level Optimization.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

A Generalized Physical-knowledge-guided Dynamic Model for Underwater Image Enhancement.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Little Strokes Fell Great Oaks: Boosting the Hierarchical Features for Multi-exposure Image Fusion.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Transmission and Color-guided Network for Underwater Image Enhancement.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Histogram-guided Video Colorization Structure with Spatial-Temporal Connection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Towards General and Fast Video Derain via Knowledge Distillation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022
Triple-Level Model Inferred Collaborative Network Architecture for Video Deraining.
IEEE Trans. Image Process., 2022

Real-world Underwater Image Enhancement via Degradation-aware Dynamic Network.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Structure-Inferred Bi-level Model for Underwater Image Enhancement.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 Challenge: Report.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
Investigating Customization Strategies and Convergence Behaviors of Task-Specific ADMM.
IEEE Trans. Image Process., 2021

A Generic Descent Aggregation Framework for Gradient-based Bi-level Optimization.
CoRR, 2021

2020
Investigating Task-Driven Latent Feasibility for Nonconvex Image Modeling.
IEEE Trans. Image Process., 2020

A Control Parameterization Method to Solve the Fractional-Order Optimal Control Problem.
J. Optim. Theory Appl., 2020

Learning Optimization-inspired Image Propagation with Control Mechanisms and Architecture Augmentations for Low-level Vision.
CoRR, 2020

A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton.
Proceedings of the 37th International Conference on Machine Learning, 2020

Flexible Bilevel Image Layer Modeling For Robust Deraining.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Sequential Deep Unrolling With Flow Priors For Robust Video Deraining.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Image Restoration Via Data-Dependent Proximal Averaged Optimization.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Learning Bilevel Layer Priors for Single Image Rain Streaks Removal.
IEEE Signal Process. Lett., 2019

On the Convergence of ADMM with Task Adaption and Beyond.
CoRR, 2019


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