3 papers
cs.CV2026
TUNI: Unifying Pre-training and Fine-tuning with Modality-Aware Mutual Learning and Rectification for RGB-T Semantic Segmentation
Xiaodong Guo, Xianda Guo, Tong Liu +4
RGB-thermal (RGB-T) semantic segmentation improves the environmental perception of autonomous platforms in challenging conditions. Prevailing RGB-T segmentation frameworks suffer f…
cs.CV2025
Layer Decomposition and Morphological Reconstruction for Task-Oriented Infrared Image Enhancement
Siyuan Chai, Xiaodong Guo, Tong Liu
Infrared image helps improve the perception capabilities of autonomous driving in complex weather conditions such as fog, rain, and low light. However, infrared image often suffers…
cs.CV2025
Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation
Xiaodong Guo, Zi'ang Lin, Luwen Hu +3
The integration of RGB and thermal data can significantly improve semantic segmentation performance in wild environments for field robots. Nevertheless, multi-source data processin…