6 papers
Geometry-Aligned Semantic Matching for Cross-Modal Planar Image Registration
Zhiwei Wang, Defeng He, Yuxing Li +2
Cross-modal image matching establishes stable and accurate geometric correspondences across modalities for planar registration. Existing semantic representations provide cross-moda…
Joint Segmentation and Grading with Iterative Optimization for Multimodal Glaucoma Diagnosis
Zhiwei Wang, Yuxing Li, Meilu Zhu +2
Accurate diagnosis of glaucoma is challenging, as early-stage changes are subtle and often lack clear structural or appearance cues. Most existing approaches rely on a single modal…
Personalized Federated Learning with Residual Fisher Information for Medical Image Segmentation
Meilu Zhu, Yuxing Li, Zhiwei Wang +1
Federated learning enables multiple clients (institutions) to collaboratively train machine learning models without sharing their private data. To address the challenge of data het…
EPOFusion: Exposure aware Progressive Optimization Method for Infrared and Visible Image Fusion
Zhiwei Wang, Defeng He, Li Zhao +3
Overexposure caused by strong daylight and oncoming headlights frequently overwhelms visible sensors, resulting in critical information loss in visual perception. Infrared and visi…
Image Restoration Learning via Noisy Supervision in the Fourier Domain
Haosen Liu, Jiahao Liu, Shan Tan +1
Noisy supervision refers to supervising image restoration learning with noisy targets. It can alleviate the data collection burden and enhance the practical applicability of deep l…
Large-Scale Bayesian Tensor Reconstruction via Approximate Message Passing
Bingyang Cheng, Zhongtao Chen, Yichen Jin +4
While CANDECOMP/PARAFAC (CP) decomposition (CPD) is fundamental for tensor reconstruction, Bayesian CPD often scales poorly because variational updates require repeated matrix inve…