Author

Muhammad Ali Farooq

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Open access 2026

LiteUAV-Det: An Efficient Lightweight Deep Learning Framework for UAV-to-UAV Small Target Detection in Complex Aerial Scenes

LiteUAV-Det is proposed, a lightweight and real-time UAV-to-UAV small object detection framework designed to achieve an optimal balance between detection accuracy and computational efficiency and demonstrates competitive detection performance compared with state-of-the-art lightweight detectors.

A. Khan, Muhammad Ali Farooq, Xiao-Feng Bai et al. · IEEE Access · 0 citations

Open access 2026

Lightweight Neuromorphic Perception: Porting Low-Latency Privacy-Responsive Human Motion Analysis to Constrained Edge Architectures

This framework establishes a reproducible baseline for low-latency edge-AI deployment in automotive cabin monitoring, autonomous robotics, and assistive healthcare, establishing a hardware-aware reference baseline for future Neural Processing Unit (NPU) and neuromorphic architectures.

Muhammad Ali Farooq, G. Costache, Peter Corcoran · IEEE Access · 0 citations