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Xinran Jiang

2 accepted papers

2025

GraphMimic: Graph-to-Graphs Generative Modeling from Videos for Policy Learning

CVPR 2025poster

Learning from demonstration is a powerful method for robotic skill acquisition. However, the significant expense of collecting such action-labeled robot data presents a major bottleneck. Video data, a rich data source encompassing diverse behavioral and physical knowledge, emerges as a promising alt…

Cited by 0SourcePDFScholar
2025

Hierarchical Autoregressive Modeling With Multi-Scale Refinement for Robot Policy Learning

RA-L 2025

While autoregressive models demonstrate remarkable success in text and image generation, their application to robot policies suffers from weak holistic comprehension, cumulative errors, and limited multi-modal modeling capabilities, particularly in long-horizon tasks or multi-modal scenarios. This p

Cited by 1SourceScholar