10 papers
SAGE-OR: Semi-supervised Adaptive Scene Graph Generation for Operating Rooms
Brandon Leblanc, Charalambos Poullis
Current surgical scene graph generation methods depend on dense multi-modal supervision and specialized hardware (synchronized RGB-D sensors, calibration rigs), making dataset cons…
Designing Fatigue-Aware VR Interfaces via Biomechanical Models
Harshitha Voleti, Charalambos Poullis
Prolonged mid-air interaction in virtual reality (VR) causes arm fatigue and discomfort, negatively affecting user experience. Incorporating ergonomic considerations into VR user i…
Distill3R: A Pipeline for Democratizing 3D Foundation Models on Commodity Hardware
Brandon Leblanc, Charalambos Poullis
While multi-view 3D reconstruction has shifted toward large-scale foundation models capable of inferring globally consistent geometry, their reliance on massive computational clust…
Extreme Views: 3DGS Filter for Novel View Synthesis from Out-of-Distribution Camera Poses
Damian Bowness, Charalambos Poullis
When viewing a 3D Gaussian Splatting (3DGS) model from camera positions significantly outside the training data distribution, substantial visual noise commonly occurs. These artifa…
Fast Self-Supervised depth and mask aware Association for Multi-Object Tracking
Milad Khanchi, Maria Amer, Charalambos Poullis
Multi-object tracking (MOT) methods often rely on Intersection-over-Union (IoU) for association. However, this becomes unreliable when objects are similar or occluded. Also, comput…
Depth-Aware Scoring and Hierarchical Alignment for Multiple Object Tracking
Milad Khanchi, Maria Amer, Charalambos Poullis
Current motion-based multiple object tracking (MOT) approaches rely heavily on Intersection-over-Union (IoU) for object association. Without using 3D features, they are ineffective…