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    SaReGAN: a salient regional generative adversarial network for visible and infrared image fusion

    Multispectral image fusion plays a crucial role in smart city environment safety. In the domain of visible and infrared image fusion, object vanishment after fusion is a key problem which restricts the fusion ...

    Mingliang Gao, Yi’nan Zhou, Wenzhe Zhai, Shuai Zeng in Multimedia Tools and Applications (2024)

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    Multiscale aggregation network via smooth inverse map for crowd counting

    Crowd counting is a practical yet essential research topic in computer vision, which has been beneficial to diverse applications in smart city environment safety. The commonly adopted paradigm in most existing...

    **angyu Guo, Mingliang Gao, Wenzhe Zhai, Qilei Li in Multimedia Tools and Applications (2024)

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    A comprehensive analysis for crowd counting methodologies and algorithms in Internet of Things

    The Internet of Things (IoT) provides a collaborative infrastructure to communicate smart devices with cloud-edge healthcare applications, medical devices, wearable biosensors, etc. On the other hand, crowd co...

    Mingliang Gao, Alireza Souri, Mayram Zaker, Wenzhe Zhai, **angyu Guo in Cluster Computing (2024)

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    \(\hbox {DA}^2\) Net: a dual attention-aware network for robust crowd counting

    Crowd counting in congested scenes is a crucial yet challenging task in video surveillance and urban security system. The performance of crowd counting has been greatly boosted with the rapid development of de...

    Wenzhe Zhai, Qilei Li, Ying Zhou, Xuesong Li, **feng Pan in Multimedia Systems (2023)

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    An attentive hierarchy ConvNet for crowd counting in smart city

    Crowd counting plays a crucial rule in the development of smart city. However, the problems of scale variations and background interferences degrade the performance of the crowd counting in real-world scenario...

    Wenzhe Zhai, Mingliang Gao, Alireza Souri, Qilei Li, **angyu Guo in Cluster Computing (2023)