Tahira Kazimi

2 accepted papers

2026

Diverse Video Generation with Determinantal Point Process-Guided Policy Optimization

Tahira Kazimi, Connor Dunlop, Pinar Yanardag

CVPR 2026

While recent text-to-video (T2V) diffusion models have achieved impressive quality and prompt alignment, they often produce low-diversity outputs when sampling multiple videos from a single text prompt. We tackle this challenge by formulating it as a set-level policy optimization problem, with the g

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2025

Explaining in Diffusion: Explaining a Classifier with Diffusion Semantics

Tahira Kazimi, Ritika Allada, Pinar Yanardag

CVPR 2025poster

Classifiers are important components in many computer vision tasks, serving as the foundational backbone of a wide variety of models employed across diverse applications. However, understanding the decision-making process of classifiers remains a significant challenge. We propose DiffEx, a novel me…

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