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Sep 2026

Beyond Stepwise Modeling: Toward a Unified Contextual Reasoning Framework for Hyperspectral Video Object Tracking

Hyperspectral video data provide complementary contextual cues across spectral, spatial, and temporal dimensions for modeling object dynamics under challenging conditions. Many existing hyperspectral video object tracking (HVOT) approaches organize spatial-spectral and temporal modeling in successive stages, leaving ro...

Yu-Zeng Chen, Qiang-Qiang Yuan, Hong Xie et al. · 2 citations
Sep 2026

Explainable Diffusion Model for Aperture-flexible 3D Quantitative Electromagnetic Imaging.

Three-dimensional quantitative electromagnetic imaging is essential for accurately characterizing concealed or geometrically complex targets. Existing approaches, however, predominantly rely on point-based representations or 2D reconstruction paradigms, which often require strong target priors, neglect 3D geometric dep...

Min Tan, Shu-Qing Li, Kui-Wen Xu et al. · 0 citations
Open access Sep 2026

Towards Realistic Low-Light Image Enhancement via ISP-Driven Data Modeling.

Deep neural networks (DNNs) have recently become the leading method for low-light image enhancement (LLIE). However, despite significant progress, their outputs may still exhibit issues such as amplified noise, incorrect white balance, or unnatural enhancements when deployed in real-world applications. A key challenge...

Zhi-Hua Wang, Qing-Hua Lin, Fei-Yang Liu et al. · 0 citations

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