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cs.CV2026
Vision-Language Based Expert Reporting for Painting Authentication and Defect Detection
Eman Ouda, Mohammed Salah, Arsenii O. Chulkov +4
Authenticity and condition assessment are central to conservation decision-making, yet interpretation and reporting of thermographic output remain largely bespoke and expert-depend…
cs.CV2026
Towards Cognitive Defect Analysis in Active Infrared Thermography with Vision-Text Cues
Mohammed Salah, Eman Ouda, Giuseppe Dell'Avvocato +6
Active infrared thermography (AIRT) is currently witnessing a surge of artificial intelligence (AI) methodologies being deployed for automated subsurface defect analysis of high pe…
cs.CV2025
Multi-Modal Attention Networks for Enhanced Segmentation and Depth Estimation of Subsurface Defects in Pulse Thermography
Mohammed Salah, Naoufel Werghi, Davor Svetinovic +1
AI-driven pulse thermography (PT) has become a crucial tool in non-destructive testing (NDT), enabling automatic detection of hidden anomalies in various industrial components. Cur…