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Lian He

2 accepted papers

2026

SUGAR: Learning Skeleton Representation with Visual-Motion Knowledge for Action Recognition

AAAI 2026technical

Large Language Models (LLMs) hold rich implicit knowledge and powerful transferability. In this paper, we explore the combination of LLMs with the human skeleton to perform action classification and description. However, when treating LLM as a recognizer, two questions arise: 1) How can LLMs underst

Cited by 0SourcePDFScholar
2026

Task-Aware 3D Affordance Segmentation via 2D Guidance and Geometric Refinement

AAAI 2026technical

Understanding 3D scene-level affordances from natural language instructions is essential for enabling embodied agents to interact meaningfully in complex environments. However, this task remains challenging due to the need for semantic reasoning and spatial grounding. Existing methods mainly focus o

Cited by 0SourcePDFScholar