Joint-embedding predictive architectures (JEPAs) for world modeling train an encoder so a predictor maps a current embedding and action to the next frame's embedding, always from a single rendered frame. This has a structural blind spot: a renderer without motion blur draws a scene from configuration alone, so a single...
Ting-He Zhang, Chun-Yu Liu, Y. Liu et al.· 0 citations
INTraJ is proposed, a unified framework that decomposes social influence into two stages: a planning stage constructs reference trajectories using future social information, and a reaction stage recovers local adjustments from the residual between full-context prediction and the reference.
Jia-Heng Chen, Jia-Xing Li, Ting-He Zhang et al.· 0 citations
It is argued that dynamic social encoding does not necessarily imply dynamic social activation, and a generation-aware bias activation model is proposed, a generation-aware bias activation model for human trajectory prediction that consistently improves the resonance-based baseline and achieves competitive state-of-the...
Jia-Heng Chen, Jia-Xing Li, Leixia Wang et al.· 0 citations
Vision-Language-Action (VLA) models have recently emerged as a promising paradigm for embodied intelligence by unifying perception, language grounding, and action generation in an end-to-end framework. Despite their strong performance, their deployment in physical control loops introduces new security risks: small pert...
Kaizheng Liu, Yuntao Hu, Jiaxing Li et al.· International Conference on...· 0 citations
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