← Search

Zi'ang Lin

2 accepted papers

2026

TUNI: Real-Time RGB-T Semantic Segmentation with Unified Multi-Modal Feature Extraction and Cross-Modal Feature Fusion

ICRA 2026poster

RGB-thermal (RGB-T) semantic segmentation improves the environmental perception of autonomous platforms in challenging conditions. Prevailing models employ encoders pre-trained on RGB images to extract features from both RGB and infrared inputs, and design additional modules to achieve cross-modal f…

Cited by 0codeScholar
2025

Cross-modal State Space Modeling for Real-time RGB-thermal Wild Scene Semantic Segmentation

IROS 2025

The integration of RGB and thermal data can significantly improve semantic segmentation performance in wild environments for field robots. Nevertheless, multi-source data processing (e.g. Transformer-based approaches) imposes significant computational overhead, presenting challenges for resource-con

Cited by 3SourcecodeScholar