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cs.CV2025
Exploring the Capabilities of LLMs for IMU-based Fine-grained Human Activity Understanding
Lilin Xu, Kaiyuan Hou, Xiaofan Jiang
Human activity recognition (HAR) using inertial measurement units (IMUs) increasingly leverages large language models (LLMs), yet existing approaches focus on coarse activities lik…
cs.LG2025
TDBench: A Benchmark for Top-Down Image Understanding with Reliability Analysis of Vision-Language Models
Kaiyuan Hou, Minghui Zhao, Lilin Xu +2
Top-down images play an important role in safety-critical settings such as autonomous navigation and aerial surveillance, where they provide holistic spatial information that front…