الباحثون

Mubarak Shah

المنشورات 5

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TERRA: Learning Transportable Latent Actions through Temporal Effect Representation and Relational Alignment

Latent actions supervise robot policies with action-like codes inferred from visual transitions, and their usefulness hinges on two questions: what a code keeps from a transition, and whether it still means the same thing when reused in a different initial state. The first is a tension in time: an endpoint difference d …

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Keepsake: Selective Spatial Memory for Long-Horizon Video Generation

Long-horizon camera-controlled video generation relies on persistent memory to maintain scene consistency. Existing systems follow two strategies to achieve this consistency. Full-history approaches retain all generated observations, causing unbounded storage and retrieval costs. Selective-construction approaches reduc …

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CineMR: Tool-Integrated Vision-Language Reasoning for Quantitative Cardiac MRI Assessment

Kunyang Li, Hai Nguyen, Joshua Lowe وآخرون · 2026

Cardiovascular magnetic resonance (CMR), including cine imaging, is a reference standard for the noninvasive assessment of cardiac morphology and ventricular function. Cine CMR interpretation integrates qualitative visual assessment with quantitative measurements of ventricular volumes, ejection fraction, myocardial ma …

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Traversing the Satisfaction-Diversity Frontier in Text-to-Image Diffusion

Kevin Zhai, Siva Rajesh Kasa, Soumya Roy وآخرون · 2026

Text-to-image generation enables users to explore several images generated from the same prompt. For these generated images to be useful, each one must reflect the user's preferences, measured by a learned reward, and differ visually from the others to maintain diversity. Existing methods are limited: they either addre …

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