2026
HSTM-Det: Hierarchical Timescale Alignment for UAV and Remote Sensing Object Detection
Yucheng Qiu, Zhanhao Liu, He Wang
IEEE International Conference on Systems, Man, and Cybernetics (SMC 2026), CORE B, CCF C 2026
HSTM-Det is a lightweight state space model-based visual detector that resolves multi-scale timescale mismatches using hierarchical dynamic modulation, significantly improving remote sensing detection accuracy over YOLOv11n with minimal computational overhead.
HSTM-Det: Hierarchical Timescale Alignment for UAV and Remote Sensing Object Detection
Yucheng Qiu, Zhanhao Liu, He Wang
IEEE International Conference on Systems, Man, and Cybernetics (SMC 2026), CORE B, CCF C 2026
HSTM-Det is a lightweight state space model-based visual detector that resolves multi-scale timescale mismatches using hierarchical dynamic modulation, significantly improving remote sensing detection accuracy over YOLOv11n with minimal computational overhead.
Efficient Hybrid Adapter for Thermal-Visible Tracking
He Wang
IEEE International Conference on Image Processing (ICIP 2026), CORE B, CCF C 2026
Hybrid Adapter Tracker (HAT) enhances RGB-T tracking by utilizing IM-LoRA for intra-modal alignment and CIMA for inter-modal fusion, achieving state-of-the-art results on LasHeR and RGBT234 datasets.
Efficient Hybrid Adapter for Thermal-Visible Tracking
He Wang
IEEE International Conference on Image Processing (ICIP 2026), CORE B, CCF C 2026
Hybrid Adapter Tracker (HAT) enhances RGB-T tracking by utilizing IM-LoRA for intra-modal alignment and CIMA for inter-modal fusion, achieving state-of-the-art results on LasHeR and RGBT234 datasets.