12 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.CV2023
AquaSAM: Underwater Image Foreground Segmentation
Muduo Xu, Jianhao Su, Yutao Liu
The Segment Anything Model (SAM) has revolutionized natural image segmentation, nevertheless, its performance on underwater images is still restricted. This work presents AquaSAM,…
cs.CV2023★ 3 cited
Data-Efficient Image Quality Assessment with Attention-Panel Decoder
Guanyi Qin, Runze Hu, Yutao Liu +4
Blind Image Quality Assessment (BIQA) is a fundamental task in computer vision, which however remains unresolved due to the complex distortion conditions and diversified image cont…
cs.CV2020★ 12 cited
Depth image denoising using nuclear norm and learning graph model
Chenggang Yan, Zhisheng Li, Yongbing Zhang +3
The depth images denoising are increasingly becoming the hot research topic nowadays because they reflect the three-dimensional (3D) scene and can be applied in various fields of c…