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Thomas Frick

2 accepted papers

2026

SPARC: Separating Perception And Reasoning Circuits for Test-time Scaling of VLMs

ICML 2026poster

Despite recent successes, *test-time scaling* $-$i.e., dynamically expanding the token budget during inference as needed$-$ remains brittle for vision-language models (VLMs): unstructured chains-of-thought about images entangle perception and reasoning, leading to long, disorganized contexts where s…

Cited by 0Source ↗Scholar ↗
2024

Probabilistic Feature Matching for Fast Scalable Visual Prompting

IJCAI 2024poster

In this work, we propose a novel framework for image segmentation guided by visual prompting which leverages the power of vision foundation models. Inspired by recent advancements in computer vision, our approach integrates multiple large-scale pretrained models to address the challenges of segment…

Cited by 1Source ↗PDF ↗Scholar ↗