1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.RO2026
SG-VLA: Learning Spatially-Grounded Vision-Language-Action Models for Mobile Manipulation
Ruisen Tu, Arth Shukla, Sohyun Yoo +5
Vision-Language-Action (VLA) models show promise for robotic control, yet performance in complex household environments remains sub-optimal. Mobile manipulation requires reasoning…
cs.CV2023
SkeleTR: Towrads Skeleton-based Action Recognition in the Wild
Haodong Duan, Mingze Xu, Bing Shuai +4
We present SkeleTR, a new framework for skeleton-based action recognition. In contrast to prior work, which focuses mainly on controlled environments, we target more general scenar…
cs.CV2023★ 1 cited
Object-Centric Multiple Object Tracking
Zixu Zhao, Jiaze Wang, Max Horn +13
Unsupervised object-centric learning methods allow the partitioning of scenes into entities without additional localization information and are excellent candidates for reducing th…