SOURCE-LINKED INTELLIGENCE
From Where to How: Continuous 4D Interaction Forecasting from Egocentric Video
Egocentric 4D interaction forecasting aims to anticipate both where future interactions will occur in 3D and how the human body will move to realize them, providing an important capability for assistive robotics and human-computer interaction. Existing methods struggle to translate semantic understanding into precise continuous 3D localization and to balance motion diversity with structural consistency in pose forecasting. More fundamentally, these tasks are often modeled separately, leaving the continuous geometric and temporal correspondence between interaction locations and body motion insu
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-08T12:06:23.000Z
First collected: 2026-09-20T20:02:11.508Z. This is not the publication date.