5 citations · 14 across the 29 of their papers we have counts for
17 papers · 1 filter
Fine-Tuning Vision-Language Models for Understanding Current Damage and Scoring Priority with Quality Guard Agent
Takato Yasuno
Bridge inspection in Japan requires mandatory visual assessments every five years, yet qualitative damage ratings (levels a-e) assigned by different engineers exhibit significant i…
Quantized Vision-Language Models for Damage Assessment: A Comparative Study of LLaVA-1.5-7B Quantization Levels
Takato Yasuno
Bridge infrastructure inspection is a critical but labor-intensive task requiring expert assessment of structural damage such as rebar exposure, cracking, and corrosion. This paper…
Multi-stage Bridge Inspection System: Integrating Foundation Models with Location Anonymization
Takato Yasuno
In Japan, civil infrastructure condition monitoring is mandated through visual inspection every five years. Field-captured damage images frequently contain concrete cracks and reba…
Cell Culture Assistive Application for Precipitation Image Diagnosis
Takato Yasuno
In regenerative medicine research, we experimentally design the composition of chemical medium. We add different components to 384-well plates and culture the biological cells. We…
Few-shot Anomalies Feedback : Damage Vision Mining Opportunity and Embedding Feature Imbalance
Takato Yasuno
Over the past decade, previous balanced datasets have been used to advance deep learning algorithms for industrial applications. In urban infrastructures and living environments, d…
Disaster Anomaly Detector via Deeper FCDDs for Explainable Initial Responses
Takato Yasuno, Masahiro Okano, Junichiro Fujii
Extreme natural disasters can have devastating effects on both urban and rural areas. In any disaster event, an initial response is the key to rescue within 72 hours and prompt rec…