4 papers
Inspect Any Crack: An Automated End-to-End Crack Segmentation and Severity Assessment Framework
Ghodsiyeh Rostami, Po-Han Chen, Mahdi S. Hosseini
Image-based crack analysis is essential for automated infrastructure inspection to reduce the cost, subjectivity, and safety risks of manual surveys. Despite advances in visual cra…
Fisher-Guided Progressive Parameter Selection for Adaptive Fine-Tuning
Ghodsiyeh Rostami, Po-Han Chen, Mahdi S. Hosseini
Parameter-efficient fine-tuning often selects trainable parameters before adaptation using architectural heuristics, without accounting for their varying importance during training…
AtlasPatch: Scalable Foundation Model-based Tissue Detection and Patch Extraction for Computational Pathology
Ahmed Alagha, Christopher Leclerc, Yousef Kotp +12
Whole-slide image (WSI) preprocessing, including tissue detection and patch extraction, is critical computational pathology, yet remains a major bottleneck for large-scale workflow…
Segment Any Crack: Deep Semantic Segmentation Adaptation for Crack Detection
Ghodsiyeh Rostami, Po-Han Chen, Mahdi S. Hosseini
Image-based crack detection algorithms are increasingly in demand in infrastructure monitoring, as early detection of cracks is of paramount importance for timely maintenance plann…