Papers by Michael Kampffmeyer

1 papers
ProPy: Building Interactive Prompt Pyramids upon CLIP for Partially Relevant Video Retrieval (2025.findings-emnlp)

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Challenge: Existing models for PRVR use unimodal features, but powerful pretrained vision-language models like CLIP are underexplored.
Approach: ProPy is a model with systematic architectural adaptation of CLIP specifically designed for PRVR.
Outcome: ProPy outperforms existing models on three public datasets in terms of performance on the datasets.

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