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Jingze Zhang

2 accepted papers

2026

LARA: Latent Action Representation Alignment for Vision-Language-Action Models

ICML 2026poster

Visual-language action (VLA) models enable robots to predict actions directly from observations and language instructions, but their performance depends on large-scale, high-quality data and is limited by the scarcity of real-world robot action datasets. To facilitate VLA model learning with abundan…

Cited by 0SourceScholar
2024

Move as You Say Interact as You Can: Language-guided Human Motion Generation with Scene Affordance

CVPR 2024highlight

Despite significant advancements in text-to-motion synthesis generating language-guided human motion within 3D environments poses substantial challenges. These challenges stem primarily from (i) the absence of powerful generative models capable of jointly modeling natural language 3D scenes and huma…