3 papers
cs.CV2026
TornadoNet: Real-Time Building Damage Detection with Ordinal Supervision
Robinson Umeike, Cuong Pham, Ryan Hausen +8
We present TornadoNet, a comprehensive benchmark for automated street-level building damage assessment evaluating how modern real-time object detection architectures and ordinal-aw…
cs.CV2026
Architectural Insights for Post-Tornado Damage Recognition
Robinson Umeike, Thang Dao, Shane Crawford +8
Rapid and accurate building damage assessment in the immediate aftermath of tornadoes is critical for coordinating life-saving search and rescue operations, optimizing emergency re…
cs.CV2024
Accelerating Post-Tornado Disaster Assessment Using Advanced Deep Learning Models
Robinson Umeike, Thang Dao, Shane Crawford
Post-disaster assessments of buildings and infrastructure are crucial for both immediate recovery efforts and long-term resilience planning. This research introduces an innovative…