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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

SAGE-OR is proposed, a feature-centric framework that replaces the traditional detect-then-reason paradigm with a decoupled representation-reasoning paradigm in which localization is derived from frozen foundation models, encoded implicitly in pre-computed features, and used without any localization supervision, while...

Brandon Leblanc, Charalambos Poullis · 0 citations

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