Hasil Pencarian - Hui-Fuang Ng

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  1. 1
    Hierarchical Image Transformation and Multi-Level Features for Anomaly Defect Detection

    Hierarchical Image Transformation and Multi-Level Features for Anomaly Defect Detection oleh Isack Farady, Chia-Chen Kuo, Hui-Fuang Ng, Chih-Yang Lin

    Diterbitkan 2023-01-01
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  2. 2
    An Interpretable Visual Attention Plug-in for Convolutions

    An Interpretable Visual Attention Plug-in for Convolutions oleh Chih-Yang Lin, Chia-Lin Wu, Hui-Fuang Ng, Timothy K. Shih

    Diterbitkan 2020-01-01
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  3. 3
    Invisible Adversarial Attacks on Deep Learning-Based Face Recognition Models

    Invisible Adversarial Attacks on Deep Learning-Based Face Recognition Models oleh Chih-Yang Lin, Feng-Jie Chen, Hui-Fuang Ng, Wei-Yang Lin

    Diterbitkan 2023-01-01
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  4. 4
    Regularization of Deep Neural Network With Batch Contrastive Loss

    Regularization of Deep Neural Network With Batch Contrastive Loss oleh Muhammad Tanveer, Hung-Khoon Tan, Hui-Fuang Ng, Maylor Karhang Leung, Joon Huang Chuah

    Diterbitkan 2021-01-01
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  5. 5
    Entropy-Boosted Adversarial Patch for Concealing Pedestrians in YOLO Models

    Entropy-Boosted Adversarial Patch for Concealing Pedestrians in YOLO Models oleh Chih-Yang Lin, Tun-Yu Huang, Hui-Fuang Ng, Wei-Yang Lin, Isack Farady

    Diterbitkan 2024-01-01
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  6. 6
    Global-and-Local Context Network for Semantic Segmentation of Street View Images

    Global-and-Local Context Network for Semantic Segmentation of Street View Images oleh Chih-Yang Lin, Yi-Cheng Chiu, Hui-Fuang Ng, Timothy K. Shih, Kuan-Hung Lin

    Diterbitkan 2020-05-01
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  7. 7
    GraphAT Net: A Deep Learning Approach Combining TrajGRU and Graph Attention for Accurate Cumulonimbus Distribution Prediction

    GraphAT Net: A Deep Learning Approach Combining TrajGRU and Graph Attention for Accurate Cumulonimbus Distribution Prediction oleh Ting Zhang, Soung-Yue Liew, Hui-Fuang Ng, Donghong Qin, How Chinh Lee, Huasheng Zhao, Deyi Wang

    Diterbitkan 2023-09-01
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  8. 8
    DoubleQExt: Hardware and Memory Efficient CNN Through Two Levels of Quantization

    DoubleQExt: Hardware and Memory Efficient CNN Through Two Levels of Quantization oleh Jin-Chuan See, Hui-Fuang Ng, Hung-Khoon Tan, Jing-Jing Chang, Wai-Kong Lee, Seong Oun Hwang

    Diterbitkan 2021-01-01
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  9. 9
    Contrastive-Regularized U-Net for Video Anomaly Detection

    Contrastive-Regularized U-Net for Video Anomaly Detection oleh Kian Yu Gan, Yu Tong Cheng, Hung-Khoon Tan, Hui-Fuang Ng, Maylor Karhang Leung, Joon Huang Chuah

    Diterbitkan 2023-01-01
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