30 citations · 83 across the 13 of their papers we have counts for
13 papers
Tianmu-TC: Physics-constraints Generative Artificial Intelligence for Global Tropical Cyclone Forecasting
Shiqi Zhang, Pan Mu, Cheng Huang +6
Tropical cyclones (TCs) pose severe risks from strong winds and heavy rainfall. However, forecasting their track and intensity remains challenging due to chaotic atmosphere and the…
Little Strokes Fell Great Oaks: Boosting the Hierarchical Features for Multi-exposure Image Fusion
Pan Mu, Zhiying Du, Jinyuan Liu +1
In recent years, deep learning networks have made remarkable strides in the domain of multi-exposure image fusion. Nonetheless, prevailing approaches often involve directly feeding…
A Generalized Physical-knowledge-guided Dynamic Model for Underwater Image Enhancement
Pan Mu, Hanning Xu, Zheyuan Liu +3
Underwater images often suffer from color distortion and low contrast resulting in various image types, due to the scattering and absorption of light by water. While it is difficul…
Towards General and Fast Video Derain via Knowledge Distillation
Defang Cai, Pan Mu, Sixian Chan +2
As a common natural weather condition, rain can obscure video frames and thus affect the performance of the visual system, so video derain receives a lot of attention. In natural e…
Histogram-guided Video Colorization Structure with Spatial-Temporal Connection
Zheyuan Liu, Pan Mu, Hanning Xu +1
Video colorization, aiming at obtaining colorful and plausible results from grayish frames, has aroused a lot of interest recently. Nevertheless, how to maintain temporal consisten…
Transmission and Color-guided Network for Underwater Image Enhancement
Pan Mu, Jing Fang, Haotian Qian +1
In recent years, with the continuous development of the marine industry, underwater image enhancement has attracted plenty of attention. Unfortunately, the propagation of light in…