20 citations · 25 across the 5 of their papers we have counts for
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cs.CV2026
FSANet: Frequency-Spatial Aware Network for Image Segmentation
Ruibo Wang, Ziyi Shen, Huaming Wu +2
Image segmentation remains challenging due to occlusions, poor lighting, and irregular structures. Although transformer-based methods achieve high accuracy, they rely heavily on lo…
cs.CV2024★ 1 cited
SAMReg: SAM-enabled Image Registration with ROI-based Correspondence
Shiqi Huang, Tingfa Xu, Ziyi Shen +4
This paper describes a new spatial correspondence representation based on paired regions-of-interest (ROIs), for medical image registration. The distinct properties of the proposed…
cs.CV2024
One registration is worth two segmentations
Shiqi Huang, Tingfa Xu, Ziyi Shen +4
The goal of image registration is to establish spatial correspondence between two or more images, traditionally through dense displacement fields (DDFs) or parametric transformatio…