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  1. No Access

    Chapter and Conference Paper

    SLf-UNet: Improved UNet for Brain MRI Segmentation by Combining Spatial and Low-Frequency Domain Features

    Deep learning-based methods have shown remarkable performance in brain tumor image segmentation. However, there is a lack of research on segmenting brain tumor lesions using frequency domain features of images...

    Hui Ding, Jiacheng Lu, Junwei Cai, Yawei Zhang in Advances in Computer Graphics (2024)

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    Chapter and Conference Paper

    Investigating the Impact of Product Contours on User Perception of Product Attributes

    Perceptual engineering research has examined product contours as a crucial component of product design. The research, however, mostly focuses on the contours of particular products, and it is not yet obvious w...

    Huizhen Ding, Zuyao Zhang in Knowledge Science, Engineering and Management (2023)

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    Chapter and Conference Paper

    Incomplete Cigarette Code Recognition via Unified SPA Features and Graph Space Constraints

    Cigarette code is a 32-character string printed on a cigarette package, which can be used by tobacco administrations to determine the legality of distribution. Unfortunately, the recognition task for incomplet...

    Huiming Ding, Zhifeng **e, Jundong Lai, Yanmin Xu, Lizhuang Ma in Artificial Intelligence (2022)

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    Chapter and Conference Paper

    Spatial-Temporal Contextual Feature Fusion Network for Movie Description

    The movie description task aims to generate narrative textual descriptions that match the content of the movie. Most of the current methods lack the ability to consider comprehensive visual content analysis an...

    Yihui Liao, Lu Fan, Huiming Ding, Zhifeng **e in Artificial Intelligence (2022)

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    Chapter and Conference Paper

    BDFNet: Boundary-Assisted and Discriminative Feature Extraction Network for COVID-19 Lung Infection Segmentation

    The coronavirus disease (COVID-19) pandemic has affected billions of lives around the world since its first outbreak in 2019. The computed tomography (CT) is a valuable tool for the COVID-19 associated clinica...

    Hui Ding, Qirui Niu, Yufeng Nie, Yuanyuan Shang in Advances in Computer Graphics (2021)

  6. Chapter and Conference Paper

    MsFcNET: Multi-scale Feature-Crossing Attention Network for Multi-field Sparse Data

    Feature engineering usually needs to excavate dense-and-implicit cross features from multi-filed sparse data. Recently, many state-of-the-art models have been proposed to achieve low-order and high-order feat...

    Zhifeng **e, Wenling Zhang, Huiming Ding in Advances in Knowledge Discovery and Data M… (2020)