Dual-system Vision-Language-Action (VLA) models improve real-time robotic control by pairing a slow, reasoning-capable generalist with a fast specialist action expert. However, existing methods invoke the generalist at a fixed frequency, ignoring the fact that decision-making complexity varies throughout a rollout. Thi...
Hyemin Yang, Wooseong Jeong, Giwon Lee et al.· 0 citations
End-to-end autonomous driving in urban environments requires robust decision-making under partial observability and complex multi-agent interactions. Severe occlusions and dense traffic at intersections limit the perception capability of single-agent systems, motivating recent efforts on Vehicle-to-Infrastructure (V2I)...
Hoonhee Cho, Jae-Young Kang, Giwon Lee et al.· 0 citations
DINOde is proposed, an ODE-based framework that continuously aligns CLIP text embeddings with the DINO visual manifold through a continuous ODE trajectory, and achieves state-of-the-art performance across multiple OVSS benchmarks.
Experiments demonstrate that Ego3DLM achieves state-of-the-art performance across future motion prediction, past motion tracking, and motion description, showing that 3D scene grounding and holistic cross-modal prediction yield physically plausible and semantically coherent motion forecasts.
Yujin Bae, J. Jeong, Hyeonseong Kim et al.· 0 citations
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