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cs.CV2026
Bridging the Semantic-Action Gap in Visual Token Pruning for Efficient VLA Inference
Ziyan Liu, Yeqiu Chen, Hongyi Cai +4
Vision-Language-Action (VLA) models have shown great potential for embodied AI by integrating visual perception, language understanding, and action execution. In real-time deployme…
cs.CV2026
EgoGrasp: World-Space Hand-Object Interaction Estimation from Egocentric Videos
Hongming Fu, Wenjia Wang, Xiaozhen Qiao +5
We propose EgoGrasp, the first method to reconstruct world-space hand-object interactions (W-HOI) from dynamic egoview videos, supporting open-vocabulary objects. Accurate W-HOI re…