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  1. 1

    Dynamic convolution models for cross-frontend keyword spotting by Rongqi Liu, Wenkang Chen, Xuejun Zhang

    Published 2025-05-01
    Subjects: “…Dynamic convolution…”
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    Complementing Dynamical Downscaling With Super‐Resolution Convolutional Neural Networks by Deeksha Rastogi, Haoran Niu, Linsey Passarella, Salil Mahajan, Shih‐Chieh Kao, Pouya Vahmani, Andrew D. Jones

    Published 2025-02-01
    “…To address these challenges, we implement an AI‐based methodology using super‐resolution convolutional neural networks (SRCNN), trained and evaluated on 40 years of daily precipitation data from a reanalysis and a high‐resolution dynamically downscaled counterpart. …”
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    Frequency Enhanced Dynamic Graph Convolutional Networks for Traffic Flow Forecasting by Liyuan Wang, Jiafeng Zhuang, Shuo Ma, Hai Lin

    Published 2025-01-01
    “…Furthermore, this paper employs a dynamic graph convolution method to separately model spatial and temporal dependencies, capturing traffic flow variations more effectively. …”
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    Continuous Talking Face Generation Based on Gaussian Blur and Dynamic Convolution by Ying Tang, Yazhi Liu, Wei Li

    Published 2025-03-01
    “…The first stage is the landmark generation stage. A dynamic convolutional transformer generator is designed to capture complex facial movements. …”
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    Dynamic Hypergraph Convolutional Networks for Hand Motion Gesture Sequence Recognition by Dong-Xing Jing, Kui Huang, Shi-Jian Liu, Zheng Zou, Chih-Yu Hsu

    Published 2025-06-01
    “…The T-Module, a multiscale temporal convolution module, aggregates features from multiple frames to capture gesture dynamics across different time scales. …”
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    Dense dynamic convolutional network for Bel canto vocal technique assessment by Zhenyi Hou, Xu Zhao, Shanggerile Jiang, Daijun Luo, Xinyu Sheng, Kaili Geng, Kejie Ye, Jiajing Xia, Yitao Zhang, Chenxi Ban, Jiaxing Chen, Yan Zou, Yuchao Feng, Xin Yuan, Guangyu Fan

    Published 2025-05-01
    “…To address the challenges posed by complex spectral features and meet the demands for objective vocal technique assessment, we introduce Omni-Dimensional Dynamic Convolution (ODConv). Additionally, we employ densely connected layers to optimize the framework, enabling efficient utilization of multi-scale features across multiple dynamic convolution layers. …”
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    Dynamic graph convolutional networks with Temporal representation learning for traffic flow prediction by Aihua Zhang

    Published 2025-05-01
    “…Specifically, a temporal graph convolution block is specifically devised, treating historical time slots as graph nodes and employing graph convolution to process dynamic time series. …”
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    Multi dynamic temporal representation graph convolutional network for traffic flow prediction by Zuojun Wu, Xiaojun Liu, Xiaoling Zhang

    Published 2025-05-01
    “…To address this issue, we propose a novel Multi Dynamic Temporal Representation Graph Convolutional Network (MDTRGCN). …”
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    2D Spatiotemporal Hypergraph Convolution Network for Dynamic OD Traffic Flow Prediction by Cheng Fang, Li Wang

    Published 2025-01-01
    “…Predicting origin-destination (OD) flow presents a significant challenge in intelligent transportation due to the intricate dynamic correlations between starting points and destinations. …”
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