Author

Charalambos Poullis

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Preprint Sep 2026

OTT3R: Multi-View 3D Reconstruction and Fast Dataset Generation at 1% Compute

Feed-forward 3D reconstruction models have achieved impressive performance by scaling model and dataset size, but their cost excludes most research groups and precludes edge deployment. Additionally, generating 3D supervision without sensors still relies on slow, unreliable Structure-from-Motion, as the community lacks...

Brandon Leblanc, Charalambos Poullis · 0 citations

Preprint Aug 2026

SAGE-OR: Semi-supervised Adaptive Scene Graph Generation for Operating Rooms

Current surgical scene graph generation methods depend on dense multi-modal supervision and specialized hardware (synchronized RGB-D sensors, calibration rigs), making dataset construction expensive and restricting all existing benchmarks to simulated environments. We propose SAGE-OR, a feature-centric framework that r...

Brandon Leblanc, Charalambos Poullis · 0 citations