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Motorola

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Selected work

Representative Papers

LENVIZ: A High-Resolution Low-Exposure Night Vision Benchmark Dataset

Mar 25, 2025

Low-light image enhancement is critical for night vision, surveillance, and autonomous driving, yet hindered by the lack of high-quality, large-scale benchmarks. To address this, we introduce LowLight-4K—the first large-scale, multi-exposure, 4K-resolution low-light night-vision benchmark—comprising 230,000 real-world indoor/outdoor frames captured synchronously via a triple-sensor setup, covering diverse illumination conditions, noise patterns, and semantic complexity. Ground-truth images are meticulously retouched by professional photographers to ensure photorealistic fidelity. LowLight-4K uniquely combines large-scale multi-exposure acquisition with human-refined ground truth and provides a comprehensive, standardized evaluation framework for state-of-the-art methods. Extensive experiments reveal systematic limitations across prevailing approaches in dynamic range recovery, texture preservation, and the noise-structure trade-off. As the largest publicly available 4K low-light enhancement benchmark, LowLight-4K establishes a robust foundation for algorithm development and rigorous performance assessment.

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Lightweight Security for Ambient-Powered Programmable Reflections with Reconfigurable Intelligent Surfaces

Jan 15, 2025

Securing reconfigurable intelligent surfaces (RIS) in passive/ultra-low-power AIoT environments poses critical challenges, especially under nanowatt-level energy constraints where conventional cryptographic hardware is infeasible. Method: This paper proposes the first lightweight, zero-trust RIS security mechanism, jointly modeling lightweight hashing and authenticated encryption primitives with dynamic RIS phase configuration. We design an RF-energy-harvesting-aware phase-security co-optimization algorithm and a low-overhead key distribution protocol—operating without on-chip cryptographic accelerators. Contribution/Results: The scheme ensures confidentiality, integrity, and privacy of the control channel between base station and RIS controller. Experimental evaluation demonstrates millisecond-scale secure access, 72% reduction in communication overhead, bit error rate <10⁻⁶, and robustness against replay and man-in-the-middle attacks.

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Recent publications

Latest Papers

LENVIZ: A High-Resolution Low-Exposure Night Vision Benchmark Dataset

Mar 25, 2025

Low-light image enhancement is critical for night vision, surveillance, and autonomous driving, yet hindered by the lack of high-quality, large-scale benchmarks. To address this, we introduce LowLight-4K—the first large-scale, multi-exposure, 4K-resolution low-light night-vision benchmark—comprising 230,000 real-world indoor/outdoor frames captured synchronously via a triple-sensor setup, covering diverse illumination conditions, noise patterns, and semantic complexity. Ground-truth images are meticulously retouched by professional photographers to ensure photorealistic fidelity. LowLight-4K uniquely combines large-scale multi-exposure acquisition with human-refined ground truth and provides a comprehensive, standardized evaluation framework for state-of-the-art methods. Extensive experiments reveal systematic limitations across prevailing approaches in dynamic range recovery, texture preservation, and the noise-structure trade-off. As the largest publicly available 4K low-light enhancement benchmark, LowLight-4K establishes a robust foundation for algorithm development and rigorous performance assessment.

0 citationsRead paper

Lightweight Security for Ambient-Powered Programmable Reflections with Reconfigurable Intelligent Surfaces

Jan 15, 2025

Securing reconfigurable intelligent surfaces (RIS) in passive/ultra-low-power AIoT environments poses critical challenges, especially under nanowatt-level energy constraints where conventional cryptographic hardware is infeasible. Method: This paper proposes the first lightweight, zero-trust RIS security mechanism, jointly modeling lightweight hashing and authenticated encryption primitives with dynamic RIS phase configuration. We design an RF-energy-harvesting-aware phase-security co-optimization algorithm and a low-overhead key distribution protocol—operating without on-chip cryptographic accelerators. Contribution/Results: The scheme ensures confidentiality, integrity, and privacy of the control channel between base station and RIS controller. Experimental evaluation demonstrates millisecond-scale secure access, 72% reduction in communication overhead, bit error rate <10⁻⁶, and robustness against replay and man-in-the-middle attacks.

0 citationsRead paper