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From the 1 of 9 linked papers with an AI index.

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9 papers

cs.CV2026

Training-Free Decoding of SAM3 Semantic Responses for Cross-Domain Infrastructure Crack Segmentation

Shipeng Liu, Zhanping Song, Liang Zhao +1

The paper introduces Semantic-Edge Response Decoding (SERD), a method that extracts internal semantic responses from the SAM3 vision model and refines them with an edge prior to ac…

cs.CV2026

Rethinking Efficient Crack Segmentation with Task-Aligned Structural-Directional Modeling

Shipeng Liu, Liang Zhao, Dengfeng Chen +1

Recent crack segmentation methods often follow generic semantic segmentation designs, using stronger backbones, hybrid CNN-Transformer-Mamba encoders, and auxiliary enhancement bra…

cs.CV2026

Training-Free Tunnel Defect Inspection and Engineering Interpretation via Visual Recalibration and Entity Reconstruction

Shipeng Liu, Liang Zhao, Dengfeng Chen +1

Tunnel inspection requires outputs that can support defect localization, measurement, severity grading, and engineering documentation. Existing training-free foundation-model pipel…

cs.RO2026

Collision Risk Estimation via Loss Prediction in End-to-End Autonomous Driving

Ziliang Xiong, Shipeng Liu, Nathaniel Helgesen +3

Collision risk estimation and avoidance play central roles in the safety of autonomous driving (AD) systems. Recently emerged end-to-end AD systems gain collision avoidance ability…

cs.CV2026

MATTER: Multiscale Attention for Registration Error Regression

Shipeng Liu, Ziliang Xiong, Khac-Hoang Ngo +1

Point cloud registration (PCR) is crucial for many downstream tasks, such as simultaneous localization and mapping (SLAM) and object tracking. This makes detecting and quantifying…

cs.CV2025

Describe-to-Score: A text-guided framework for image complexity assessment

Shipeng Liu, Zhonglin Zhang, Dengfeng Chen +1

Accurately assessing image complexity (IC) is essential for many vision tasks, yet existing approaches rely almost exclusively on visual features and therefore fail to capture the…