Author

Chen Wang

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Open access Sep 2026

ST-PaveCLIP: A Spatio-Temporal Vision–Language Framework for Road Anomaly Segmentation in Images and Videos

Static images and vehicle-mounted video are the two primary data sources for road inspection. Since cracks, potholes, and patched areas can all be considered anomalies on the road surface, Contrastive Language–Image Pre-training (CLIP)-based anomaly segmentation provides a promising approach under limited labeled data....

Si-Yuan He, Yuchun Huang, Chen Wang et al. · Remote Sensing · 0 citations

Jul 2026

S-squared-VLA: Decoupling Semantic and Spatial Streams in Vision-Language-Action Models for Autonomous Driving

The S-squared-VLA is proposed, which explicitly decouples the semantic and spatial streams in Vision-Language-Action models, and significantly outperforms baselines, achieving the highest No Collision rate among all evaluated methods.

Jianguo Yu, Rukang Wang, Duan-Feng Chu et al. · arXiv.org · 0 citations