Search papers, labs, and topics across Lattice.
5
0
7
0
The results establish explicit-implicit matching as an effective and efficient mechanism for spatio-temporal instance interaction and Integrating temporal MatchFusion into SparseDrive further improves perception within an E2E framework without additional supervision.
Transforming open-loop action into a reliable closed-loop system, AGM achieves superior task performance while keeping VLA policies frozen and lightweight.
Object-conditioned cues can dramatically enhance 3D reconstruction quality, especially under tight frame budgets, outperforming traditional geometry-focused strategies.
Forget expensive data collection: Seed2Scale leverages a small-model/large-model synergy to self-generate high-quality embodied AI training data, starting from just four seed demonstrations.
LiDAR's metric accuracy can be effectively transferred to multi-view stereo depth estimation, yielding state-of-the-art performance in autonomous driving scenarios with improved temporal stability and cross-domain transfer.
