Skip to main content

9 Result(s)

within Wenzhe Zhai Remove this filter

and

  1. No Access

    Article

    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)

  2. No Access

    Article

    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)

  3. No Access

    Article

    Multi-Modal Generative DeepFake Detection via Visual-Language Pretraining with Gate Fusion for Cognitive Computation

    With the widespread adoption of deep learning, there has been a notable increase in the prevalence of multimodal deepfake content. These deepfakes pose a substantial risk to both individual privacy and the sec...

    Guisheng Zhang, Mingliang Gao, Qilei Li, Wenzhe Zhai… in Cognitive Computation (2024)

  4. No Access

    Article

    Dual-branch and triple-attention network for pan-sharpening

    Pan-sharpening is a technique used to generate high-resolution multi-spectral (HRMS) images by merging high-resolution panchromatic (PAN) images with low-resolution multi-spectral (LRMS) images. Many existing ...

    Wenhao Song, Mingliang Gao, Abdellah Chehri, Wenzhe Zhai, Qilei Li… in Applied Intelligence (2024)

  5. No Access

    Article

    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)

  6. No Access

    Article

    \(\hbox {DA}^2\) 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)

  7. No Access

    Article

    FPANet: feature pyramid attention network for crowd counting

    Crowd counting in congested scenarios is an essential yet challenging task in detecting abnormal crowd for contemporary urban planning. The counting accuracy has been significantly improved with the rapid deve...

    Wenzhe Zhai, Mingliang Gao, Qilei Li, Gwanggil Jeon, Marco Anisetti in Applied Intelligence (2023)

  8. No Access

    Article

    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)

  9. No Access

    Article

    Dense Attention Fusion Network for Object Counting in IoT System

    IoT has been overwhelmingly empowered by the rapid development of big-data ecosystems, such as remote sensing technology which runs all the time in obtaining accurate and high-quality images to facilitate the ...

    **angyu Guo, Mingliang Gao, Wenzhe Zhai, Qilei Li… in Mobile Networks and Applications (2023)