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Published in 2021 at "Chinese Physics B"
DOI: 10.1088/1674-1056/ac0042
Abstract: Computational ghost imaging (CGI) provides an elegant framework for indirect imaging, but its application has been restricted by low imaging performance. Herein, we propose a novel approach that significantly improves the imaging performance of CGI.…
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Keywords:
deep compressed;
computational ghost;
ghost imaging;
compressed sensing ... See more keywords
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Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2024.3509421
Abstract: Real-time awareness of crowd counts and distribution is vital for applications like crowd management, traffic control, and urban planning. Compared to vision-based methods, passive Wi-Fi sensing-based approaches offer advantages, such as lower deployment costs, broader…
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Keywords:
analysis;
sensing based;
passive sensing;
compressed sensing ... See more keywords
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Published in 2024 at "IEEE Transactions on Broadcasting"
DOI: 10.1109/tbc.2024.3394291
Abstract: Compressed video super-resolution (VSR) is employed to generate high-resolution (HR) videos from low-resolution (LR) compressed videos. Recently, some compressed VSR methods have adopted coding priors, such as partition maps, compressed residual frames, predictive pictures and…
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Keywords:
video super;
coding priors;
resolution;
compressed video ... See more keywords
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Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3202203
Abstract: Due to the limited energy, communication bandwidth and computing ability of edge devices in Industrial Internet of Things (IIoT) networks, it is incredibly challenging to compress and transmit those massive manufacturing data collected at the…
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Keywords:
deep compressed;
quantized deep;
edge cloud;
compressed sensing ... See more keywords