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cs.CV2026
VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models
Ruiqi Xian, Yuehan Xian, Jing Liang +2
Semantic 3D occupancy provides a voxelized world state for autonomous driving and robot decision making, but object and rare-class errors can affect free-space interpretation, coll…
cs.CV2026
SpanVLA: Learning from Negative-Recovery Samples with Fast Action Bridging for Vision-Language-Action Model
Zewei Zhou, Ruining Yang, Xuewei Qi +9
Vision-Language-Action (VLA) models bring rich world knowledge and reasoning capabilities to autonomous driving. However, most driving VLAs are trained only on positive expert demo…
cs.RO2026
GaussianSSC: Triplane-Guided Directional Gaussian Fields for 3D Semantic Completion
Ruiqi Xian, Jing Liang, He Yin +2
We present \emph{GaussianSSC}, a two-stage, grid-native and triplane-guided approach to semantic scene completion (SSC) that injects the benefits of Gaussians without replacing the…