most citedMMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception

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cs.CV2025

TEM^3-Learning: Time-Efficient Multimodal Multi-Task Learning for Advanced Assistive Driving

Wenzhuo Liu, Yicheng Qiao, Zhen Wang +8

Multi-task learning (MTL) can advance assistive driving by exploring inter-task correlations through shared representations. However, existing methods face two critical limitations…

cs.CV2025★ 1 cited

MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception

Wenzhuo Liu, Wenshuo Wang, Yicheng Qiao +9

Advanced driver assistance systems require a comprehensive understanding of the driver's mental/physical state and traffic context but existing works often neglect the potential be…