4 citations · 4 across the 4 of their papers we have counts for
4 papers
EgoEMS: A High-Fidelity Multimodal Egocentric Dataset for Cognitive Assistance in Emergency Medical Services
Keshara Weerasinghe, Xueren Ge, Tessa Heick +5
Emergency Medical Services (EMS) are critical to patient survival in emergencies, but first responders often face intense cognitive demands in high-stakes situations. AI cognitive…
Real-Time Multimodal Cognitive Assistant for Emergency Medical Services
Keshara Weerasinghe, Saahith Janapati, Xueren Ge +4
Emergency Medical Services (EMS) responders often operate under time-sensitive conditions, facing cognitive overload and inherent risks, requiring essential skills in critical thin…
Camera-Independent Single Image Depth Estimation from Defocus Blur
Lahiru Wijayasingha, Homa Alemzadeh, John A. Stankovic
Monocular depth estimation is an important step in many downstream tasks in machine vision. We address the topic of estimating monocular depth from defocus blur which can yield mor…
DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction
Xueren Ge, Satpathy Abhishek, Ronald Dean Williams +2
Multi-label text classification (MLTC) tasks in the medical domain often face the long-tail label distribution problem. Prior works have explored hierarchical label structures to f…