3 papers
cs.CV2026
Fisher-Guided Progressive Parameter Selection for Adaptive Fine-Tuning
Ghodsiyeh Rostami, Po-Han Chen, Mahdi S. Hosseini
Parameter-efficient fine-tuning (PEFT) aims to adapt pretrained models with a small trainable parameter subset, however, most existing methods choose this subset from fixed archite…
eess.IV2026
AtlasPatch: Efficient Tissue Detection and High-throughput Patch Extraction for Computational Pathology at Scale
Ahmed Alagha, Christopher Leclerc, Yousef Kotp +12
Whole-slide image (WSI) preprocessing, comprising tissue detection followed by patch extraction, is foundational to AI-driven computational pathology but remains a major bottleneck…
cs.CV2025
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…