13 citations · 14 across the 4 of their papers we have counts for
4 papers
Net2Net: When Un-trained Meets Pre-trained Networks for Robust Real-World Denoising
Weimin Yuan, Cai Meng
Traditional denoising methods for noise removal have largely relied on handcrafted priors, often perform well in controlled environments but struggle to address the complexity and…
GS2POSE: Marry Gaussian Splatting to 6D Object Pose Estimation
Junbo Li, Weimin Yuan, Yinuo Wang +4
Accurate 6D pose estimation of 3D objects is a fundamental task in computer vision, and current research typically predicts the 6D pose by establishing correspondences between 2D i…
MambaMorph: a Mamba-based Framework for Medical MR-CT Deformable Registration
Tao Guo, Yinuo Wang, Shihao Shu +5
Capturing voxel-wise spatial correspondence across distinct modalities is crucial for medical image analysis. However, current registration approaches are not practical enough in t…
SAMIHS: Adaptation of Segment Anything Model for Intracranial Hemorrhage Segmentation
Yinuo Wang, Kai Chen, Weimin Yuan +2
Segment Anything Model (SAM), a vision foundation model trained on large-scale annotations, has recently continued raising awareness within medical image segmentation. Despite the…