Egocentric video provides a continuous first-person record of everyday activities, making it a natural foundation for wearable AI assistants. Unlike offline video understanding, streaming systems must process observations as they arrive, while queries may refer to experiences from the distant past. Recent work has begu...
Hao-Kai Pang, Yu-Qian Fu, Yi-Fei Wang et al.· 0 citations
End-to-end autonomous driving models are typically trained on real-world driving logs, which record only the trajectory actually executed in each scene. This provides limited supervision for learning alternative valid behaviors. Multi-target supervision can mitigate this limitation, but broader trajectory coverage make...
Li-Heng Chen, Qifeng Chen, Cheng-Wei Wu et al.· 1 citation
USR-Drive is proposed, a unified conditional generative framework that, given only posed multi-view driving videos, jointly recovers dense dynamic geometry and instance-level object layouts within a shared scene representation and delivers state-of-the-art results for both dynamic reconstruction and 3D detection on the...
Li-Heng Chen, Haokai Pang, Cheng Su et al.· 0 citations
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