AI RESEARCH
Forecasting Motion in the Wild
arXiv CS.CV
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ArXi:2604.01015v1 Announce Type: new Visual intelligence requires anticipating the future behavior of agents, yet vision systems lack a general representation for motion and behavior. We propose dense point trajectories as visual tokens for behavior, a structured mid-level representation that disentangles motion from appearance and generalizes across diverse non-rigid agents, such as animals in-the-wild.