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The University of Edinburgh
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Modeling human actions as executable programs not only improves action recognition, but also unlocks more data-efficient and interpretable models compared to standard monolithic approaches.
Robots can now unfold a variety of cloth types in the real world, thanks to a world model enhanced with surface normals and improved data augmentation.
