Deep learning-based hyperspectral image (HSI) change detection (HSI-CD) methods have achieved promising accuracy. However, HSIs contain hundreds of highly correlated bands, while existing models often encode all bands with equal priority, resulting in redundant spectral computation. At the same time, bi-temporal featur...
Yan-Heng Wang, Kai Qin, Zhuan-Feng Li et al.· IEEE Journal of Selected Top...· 0 citations
Time series prediction plays a vital role across numerous real-world domains. However, existing methods struggle to simultaneously capture short-term temporal dynamics and long-term dependencies. To overcome this limitation, this paper proposes a Dual-stage Temporal Fusion Network, termed DTFNet, which realizes multi-s...
Xiang-Long Ma, J. Sha, Xinling Wang et al.· 2026 IEEE International Conf...· 0 citations
LiDAR-inertial-visual odometry (LIVO) has emerged as a promising solution for robust localization in challenging environments. However, achieving an optimal balance between computational efficiency and localization accuracy remains difficult in mixed scenes that contain both well-constrained and geometrically degenerat...
Heng Zhang, J. Sha, Xinling Wang et al.· 2026 IEEE International Conf...· 0 citations
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