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Sarinda Samarasinghe

2 accepted papers

2025

DEXTER: Diffusion-Guided EXplanations with TExtual Reasoning for Vision Models

NeurIPS 2025spotlight

Understanding and explaining the behavior of machine learning models is essential for building transparent and trustworthy AI systems. We introduce DEXTER, a data-free framework that employs diffusion models and large language models to generate global, textual explanations of visual classifiers. D…

Cited by 0SourcecodeScholar
2023

CDFSL-V: Cross-Domain Few-Shot Learning for Videos

ICCV 2023poster

Few-shot video action recognition is an effective approach to recognizing new categories with only a few labeled examples, thereby reducing the challenges associated with collecting and annotating large-scale video datasets. Existing methods in video action recognition rely on large labeled datasets…

Cited by 14PDFcodeScholar