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From the 1 of 8 linked papers with an AI index.

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8 papers

cs.CV2026

EgoAfford: Task-Oriented Affordance Grounding via Egocentric Referring Segmentation

Xinyuan Guan, Feifan Chen, Xinyu Zhan +3

Part-level affordance grounding has advanced the localization of functional object regions associated with elemental actions. Extending this capability to complex tasks calls for c…

cs.CV2026

Multi-view Hand Reconstruction with a Point-Embedded Transformer

Lixin Yang, Licheng Zhong, Pengxiang Zhu +4

The paper presents POEM, a multi-view hand mesh reconstruction system that embeds static basis points in the multi-view stereo space and uses a transformer to fuse features across…

cs.RO2026

ChronoFlow-Policy: Unifying Past-Current-Future Interaction Flow in Visuomotor Policy Learning

Bokai Lin, Yifu Xu, Xinyu Zhan +6

Visual signals play a crucial role in policy learning by enabling models to capture object motion and interaction dynamics. Just as humans reason about actions using both past expe…

cs.RO2026

TrajBooster: Boosting Humanoid Whole-Body Manipulation via Trajectory-Centric Learning

Jiacheng Liu, Pengxiang Ding, Qihang Zhou +8

Recent Vision-Language-Action models show potential to generalize across embodiments but struggle to quickly align with a new robot's action space when high-quality demonstrations…

cs.CV2026

VFM-Recon: Unlocking Cross-Domain Scene-Level Neural Reconstruction with Scale-Aligned Foundation Priors

Yuhang Ming, Tingkang Xi, Xingrui Yang +4

Scene-level neural volumetric reconstruction from monocular videos remains challenging, especially under severe domain shifts. Although recent advances in vision foundation models…

cs.RO2025

Motion Before Action: Diffusing Object Motion as Manipulation Condition

Yue Su, Xinyu Zhan, Hongjie Fang +3

Inferring object motion representations from observations enhances the performance of robotic manipulation tasks. This paper introduces a new paradigm for robot imitation learning…