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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 0SourceScholar
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 1SourcePDFScholar