Lukas Zbinden — accepted AI-conference papers

2026

Cosmos-Surg-DVRK: World Foundation Model-Based Automated Online Evaluation of Surgical Robot Policy Learning

Lukas Zbinden, Nigel Nelson, Juo-Tung Chen, Xinhao Chen, Ji Woong Kim, Mahdi Azizian +2

RA-L 2026

The rise of robot-assisted surgery and vision language-action models has accelerated progress in autonomous surgical policies and efficient assessment strategies. However, evaluating these policies directly on physical robotic platforms such as the da Vinci Research Kit (dVRK) remains hindered by hi

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2023

Stochastic Segmentation with Conditional Categorical Diffusion Models

Lukas Zbinden, Lars Doorenbos, Theodoros Pissas, Adrian Thomas Huber, Raphael Sznitman, Pablo Márquez-Neila

ICCV 2023poster

Semantic segmentation has made significant progress in recent years thanks to deep neural networks, but the common objective of generating a single segmentation output that accurately matches the image's content may not be suitable for safety-critical domains such as medical diagnostics and autonomo…

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