2 citations · 2 across the 3 of their papers we have counts for
3 papers
eess.IV2025
Reservoir-enhanced Segment Anything Model for Subsurface Diagnosis
Xiren Zhou, Shikang Liu, Xinyu Yan +5
Urban roads and infrastructure, vital to city operations, face growing threats from subsurface anomalies like cracks and cavities. Ground Penetrating Radar (GPR) effectively visual…
cs.CV2022★ 2 cited
Underground Diagnosis Based on GPR and Learning in the Model Space
Ao Chen, Xiren Zhou, Yizhan Fan +1
Ground Penetrating Radar (GPR) has been widely used in pipeline detection and underground diagnosis. In practical applications, the characteristics of the GPR data of the detected…
cs.CV2022
Improving the Anomaly Detection in GPR Images by Fine-Tuning CNNs with Synthetic Data
Xiren Zhou, Shikang Liu, Ao Chen +2
Ground Penetrating Radar (GPR) has been widely used to estimate the healthy operation of some urban roads and underground facilities. When identifying subsurface anomalies by GPR i…