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Showing papers from Ulm University Show all papers

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S2D: Sparse-To-Dense Keymask Distillation for Unsupervised Video Instance Segmentation

S2D uses keymask distillation with temporal drop loss to propagate sparse high-quality pseudo-masks across real videos, outperforming synthetic-data methods in unsupervised video instance segmentation.

Leon Sick, Lukas Hoyer, Dominik Engel, Pedro Hermosilla and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face · Code ★ 2

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9/20 AI panelreviewers recommend it

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AI panel: 9 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 0/5
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StarWM: Self-Supervised Trained Attention Routing for Robust World Models

StarWM uses self-supervised dynamics to route attention for selective reconstruction, yielding robust world models that preserve task-relevant states and discard distractors across video backgrounds.

Zeqiang Zhang, Fabian Wurzberger, Maximilian Otte, Daniel Schmid and 3 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 1/5