Author

Katherine A. Skinner

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Preprint Sep 2026

Towards Scaling Marine Perception with Synthetic Data

Scalable machine learning in challenging underwater environments is strongly limited by the lack of labeled real-world training data. This data is often expensive and laborious to gather, making large-scale real-world data challenging to gather and curate. However, simulated data can help close the gap, enabling many l...

Hao-Yu Ma, O. Bagoren, Anja Sheppard et al. · 0 citations

Preprint Aug 2026

STAR-VLM: Spatiotemporal Grounding Vision-Language Models for Motion and Velocity Estimation via Automotive Radar Supervision

STAR-VLM is introduced, an automotive radar-supervised framework that enhances spatiotemporal VLMs with motion reasoning and metric velocity estimation for autonomous driving, and achieves state-of-the-art performance on both motion classification and metric velocity estimation.

Pou-Chun Kung, Aryaman Rao, U. Sahai et al. · 0 citations