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Conference Sep 2026

Driver Drowsiness Detection Using Facial Analysis and Machine Learning Techniques

Driver drowsiness detection is an important safety task because fatigue-related impairment can reduce attention and reaction time before a driver becomes fully asleep. Vision-based systems are suitable for practical deployment because facial cues can be extracted using a camera without requiring wearable sensors. Howev...

Muhammad Shafwan Anis, N. Rusli, Chee-Kiang Lam et al. · 0 citations
Preprint Sep 2026

MirrorDistill: Illumination-Aware Latent Distillation for Efficient Low-Light Restoration

Low-light image enhancement (LLIE) is an im- portant component of visual sensing systems operating under degraded illumination, including nighttime surveillance, au- tonomous navigation, remote sensing, and inspection in poorly lit industrial environments. Most LLIE methods rely on output- level reconstruction losses t...

Farida Mohsen, Tala Zaim, Nurul Izni Rusli et al. · 0 citations
Preprint Aug 2026

Mamba-based Selective State Space Modeling Improves the Accuracy-Complexity Tradeoff of SmolVLA Vision-Language-Action Experts

Mamba's selective state-space modeling is investigated as an alternative to causal self-attention within the action expert of the popular SmolVLA model, widely used as a reference model for its highly accurate yet low complexity nature.

Farida Mohsen, Thowayba M. Elkaffash, M. C. Qazani et al. · 0 citations

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