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cs.CV2026

OR-Action: Multi-Role Video Understanding with Fine-Grained Actions

Felix Tristram, Ege Özsoy, Christian Benz +3

Fine-grained understanding of operating room (OR) activity could enable workflow-aware assistance, yet remains difficult due to clutter, occlusions, and limited sensing. The prevai…

cs.CV2026

PanORama: Multiview Consistent Panoptic Segmentation in Operating Rooms

Tuna Gürbüz, Ege Özsoy, Tony Danjun Wang +1

Operating rooms (ORs) are cluttered, dynamic, highly occluded environments, where reliable spatial understanding is essential for situational awareness during complex surgical work…

cs.CV2025

Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement

Kun Yuan, Tingxuan Chen, Shi Li +9

The complexity and diversity of surgical workflows, driven by heterogeneous operating room settings, institutional protocols, and anatomical variability, present a significant chal…

cs.CV2025

Specialized Foundation Models for Intelligent Operating Rooms

Ege Özsoy, Chantal Pellegrini, David Bani-Harouni +3

Surgical procedures unfold in complex environments demanding coordination between surgical teams, tools, imaging and increasingly, intelligent robotic systems. Ensuring safety and…

cs.CV2025

EgoExOR: An Ego-Exo-Centric Operating Room Dataset for Surgical Activity Understanding

Ege Özsoy, Arda Mamur, Felix Tristram +4

Operating rooms (ORs) demand precise coordination among surgeons, nurses, and equipment in a fast-paced, occlusion-heavy environment, necessitating advanced perception models to en…

cs.CV2025

MM-OR: A Large Multimodal Operating Room Dataset for Semantic Understanding of High-Intensity Surgical Environments

Ege Özsoy, Chantal Pellegrini, Tobias Czempiel +7

Operating rooms (ORs) are complex, high-stakes environments requiring precise understanding of interactions among medical staff, tools, and equipment for enhancing surgical assista…