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Chenhe Zhang

2 accepted papers

2026

GuidedVLA: Specifying Task-Relevant Factors via Plug-and-Play Action Attention Specialization

RSS 2026poster

Vision-Language-Action (VLA) models aim for general robot learning by aligning action as a modality within powerful Vision-Language Models (VLM). Existing VLAs rely on end-to-end supervision to implicitly enable the action decoding process to learn task-relevant features. However, without explicit g…

Cited by 0SourceScholar
2026

Spatial Retrieval Augmented Autonomous Driving

CVPR 2026

Existing autonomous driving systems rely on onboard sensors (cameras, LiDAR, IMU, etc) for environmental perception. However, this paradigm is limited by the drive-time perception horizon and often fails under limited view scope, occlusion or extreme conditions such as darkness and rain. In contrast

Cited by 0SourcecodeScholar