3 papers
cs.CV2026
Efficient Language-to-Vision Feature Injection for Referring Single-Object Tracking
Han Wang, Yuxuan Liu, Yuhan Sun +5
Referring single-object tracking enables language-grounded target initialization and subsequent tracking by jointly leveraging semantic cues and visual templates. The core difficul…
cs.CV2026
SDF-Net: Structure-Aware Disentangled Feature Learning for Opticall-SAR Ship Re-identification
Furui Chen, Han Wang, Yuhan Sun +5
Cross-modal ship re-identification (ReID) between optical and synthetic aperture radar (SAR) imagery is fundamentally challenged by the severe radiometric discrepancy between passi…
cs.CV2025
Cross-modal Ship Re-Identification via Optical and SAR Imagery: A Novel Dataset and Method
Han Wang, Shengyang Li, Jian Yang +3
Detecting and tracking ground objects using earth observation imagery remains a significant challenge in the field of remote sensing. Continuous maritime ship tracking is crucial f…