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.· IEEE Transactions on Image P...· 2 citations
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.· IEEE Transactions on Pattern...· 0 citations
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.· IEEE Transactions on Image P...· 0 citations
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