2 citations · 3 across the 7 of their papers we have counts for
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MHL: Mutual Mask Mix with High-Low Level Feature Consistency for Semi-Supervised Medical Image Segmentation
Yajun Liu, Zenghui Zhang, Jiang Yue +2
Data augmentation methods inspired by CutMix have demonstrated significant potential in recent semi-supervised medical image segmentation tasks. However, these approaches often app…
Grid-Reg: Detector-Free Gridized Feature Learning and Matching for Large-Scale SAR-Optical Image Registration
Xiaochen Wei, Weiwei Guo, Zenghui Zhang +1
It is highly challenging to register large-scale, heterogeneous SAR and optical images, particularly across platforms, due to significant geometric, radiometric, and temporal diffe…
Collaborative Learning for Unsupervised Multimodal Remote Sensing Image Registration: Integrating Self-Supervision and MIM-Guided Diffusion-Based Image Translation
Xiaochen Wei, Weiwei Guo, Wenxian Yu
The substantial modality-induced variations in radiometric, texture, and structural characteristics pose significant challenges for the accurate registration of multimodal images.…
OSDM-MReg: Multimodal Image Registration based One Step Diffusion Model
Xiaochen Wei, Weiwei Guo, Wenxian Yu +2
Multimodal remote sensing image registration aligns images from different sensors for data fusion and analysis. However, existing methods often struggle to extract modality-invaria…