Tiankai Chen — accepted AI-conference papers

2026

Test-Time Optimization of 3D Point Cloud LLM via Manifold-Aware In-Context Guidance and Refinement

Tiankai Chen, Nanqing Liu, Li Yang, Xulei Yang, Tianrui Li, Xun Xu

ICLR 2026poster

Multimidal Large Language Models (MLLMs) have demonstrated impressive capabilities in textual and 2D visual reasoning, yet their ability to understand and reason over 3D data remains limited. The issues become more challenging for understanding standalone 3D point cloud due to the high interclass co…

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2025

Exploiting Vision Language Model for Training-Free 3D Point Cloud OOD Detection via Graph Score Propagation

Tiankai Chen, Yushu Li, Adam Goodge, Fei Teng, Xulei Yang, Tianrui Li +1

ICCV 2025poster

Out-of-distribution (OOD) detection in 3D point cloud data remains a challenge, particularly in applications where safe and robust perception is critical. While existing OOD detection methods have shown progress for 2D image data, extending these to 3D environments involves unique obstacles. This pa…

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