collaborators

5 papers

cs.CV2026

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…

eess.IV2026

Deep Speckle Holography Redefines Label-free Nanoparticle Phenotyping

Yanmin Zhu, Yuxing Li, Jingyan Chen +9

Nanoparticle metrology has long been constrained by the assumption that, in mixed and unprocessed fluids, particle size, morphology, composition, and species-specific abundance can…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

FL-MedSegBench: A Comprehensive Benchmark for Federated Learning on Medical Image Segmentation

Meilu Zhu, Zhiwei Wang, Axiu Mao +4

Federated learning (FL) offers a privacy-preserving paradigm for collaborative medical image analysis without sharing raw data. However, the absence of standardized benchmarks for…