Benjamin Busam

By converting point clouds into a format VLMs can understand, VLM-Loc significantly boosts text-to-point-cloud localization accuracy, outperforming prior methods that rely on shallower text-point cloud correspondences.

By blending geometric and appearance cues within a conditional flow matching framework, Flose cracks the long-standing problem of 6D pose estimation for symmetrical objects.