most citedA Generalized Physical-knowledge-guided Dynamic Model for Underwater Image Enhancement

2 citations · 4 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV20248 cited

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…

cs.CV20232 cited

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…

cs.CV20231 cited

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…

cs.CV2023

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…

cs.CV20231 cited

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…

cs.CV2022

Intra-Modal Constraint Loss For Image-Text Retrieval

Jianan Chen, Lu Zhang, Qiong Wang +2

Cross-modal retrieval has drawn much attention in both computer vision and natural language processing domains. With the development of convolutional and recurrent neural networks,…