Author

Fabian Hüger

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Preprint Sep 2026

Combining Foundation Model Confidence and Monocular Depth for Training-Free Out-of-Distribution Segmentation

Autonomous vehicles operating in open-world scenarios are inevitably confronted with previously unknown objects, such as exotic animals or loose cargo. The reliable detection and segmentation of these out-of-distribution (OOD) objects is therefore crucial for a safe understanding of the environment and decision-making....

Serin Varghese, Fabian Hüger, Kira Maag · 0 citations

Preprint Sep 2026

Diffuse2Seg: Diffusion Models Can Segment Anything Without Supervision

Diffuse2Seg is introduced, which repurposes generative diffusion models for automatic mask generation by propagating a grid of point prompts through their self-attention representations in an edge-preserving manner, and shows that a model trained on Diffuse2Seg labels provides a strong initialization for semi-supervise...

Christoph Hümmer, Joachim Sicking, Fabian Hüger et al. · 0 citations