3 papers
cs.LG2026
Identity-Free Deferral For Unseen Experts
Joshua Strong, Pramit Saha, Yasin Ibrahim +2
Learning to Defer (L2D) improves AI reliability in decision-critical environments by training AI to either make its own prediction or defer the decision to a human expert. A key ch…
cs.CV2025
Investigating Deep Learning Models for Ejection Fraction Estimation from Echocardiography Videos
Shravan Saranyan, Pramit Saha
Left ventricular ejection fraction (LVEF) is a key indicator of cardiac function and plays a central role in the diagnosis and management of cardiovascular disease. Echocardiograph…
cs.CV2025
Video-based Exercise Classification and Activated Muscle Group Prediction with Hybrid X3D-SlowFast Network
Manvik Pasula, Pramit Saha
This paper introduces a simple yet effective strategy for exercise classification and muscle group activation prediction (MGAP). These tasks have significant implications for perso…