Livien Majer
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2026
Multi-modal Video Representation Alignment for Robust Self-supervised Driver Distraction Detection
The paper proposes a novel global multi-modal alignment framework to robustly learn video representations from noisy and complementary sensor data, significantly improving driver distraction detection.
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cs.CVRecentJun 1, 2026
Multi-modal Video Representation Alignment for Robust Self-supervised Driver Distraction Detection
David J. Lerch, Livien Majer, Zeyun Zhong, Manuel Martin +2 more
The paper proposes a novel global multi-modal alignment framework to robustly learn video representations from noisy and complementary sensor data, significantly improving driver distraction detection…
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