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Ming-Zhe Liu

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Preprint Sep 2026

DensePed-Lite: Quality-Aware Adaptive Detection for Dense Pedestrians under Occlusion

Pedestrian detection plays a crucial role in computer vision with applications in autonomous driving, surveillance, and public safety. However, real-world dense scenes bring severe challenges, including heavy occlusion, drastic scale variations, and strict real-time requirements. Existing lightweight detectors struggle...

Zian Wang, Ming-Zhe Liu, Chao-Yi Guo et al. · 0 citations

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