4 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.CV2026
R4Tun: LLM-guided adaptive segmental tunnel lining segmentation in point clouds
Xinghui Tao, Zehao Ye, Guangming Wang +2
Automated inspection of segmental tunnel linings requires adaptive segmentation from 3D point clouds, yet expert-tuned pipelines often degrade when tunnel conditions vary. This pap…
cs.CV2024★ 4 cited
SAM-based instance segmentation models for the automation of structural damage detection
Zehao Ye, Lucy Lovell, Asaad Faramarzi +1
Automating visual inspection for capturing defects based on civil structures appearance is crucial due to its currently labour-intensive and time-consuming nature. An important asp…
cs.CV2024
Rapid post-disaster infrastructure damage characterisation enabled by remote sensing and deep learning technologies -- a tiered approach
Nadiia Kopiika, Andreas Karavias, Pavlos Krassakis +6
Critical infrastructure, such as transport networks and bridges, are systematically targeted during wars and suffer damage during extensive natural disasters because it is vital fo…