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  1. No Access

    Article

    MEAN: An attention-based approach for 3D mesh shape classification

    3D shape processing is a fundamental computer application. Specifically, 3D mesh could provide a natural and detailed way for object representation. However, due to its non-uniform and irregular data structure...

    Jicheng Dai, Rubin Fan, Yupeng Song, Qing Guo, Fazhi He in The Visual Computer (2024)

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    Article

    Hybrid feature constraint with clustering for unsupervised person re-identification

    Unsupervised person re-identification (Re-ID) has better scalability and usability in real-world deployments due to the lack of annotations, which is more challenging than supervised methods. State-of-the-art ...

    Tongzhen Si, Fazhi He, Penglei Li in The Visual Computer (2023)

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    Article

    DRDDN: dense residual and dilated dehazing network

    Recently, deep convolutional neural networks (CNNs) have made great achievements in image restoration. However, there exists a large space to improve the performance of CNN-based dehazing model. In this paper,...

    Shengdong Zhang, Jiaoting Zhang, Fazhi He, Neng Hou in The Visual Computer (2023)

  4. No Access

    Article

    A novel privacy-preserving outsourcing computation scheme for Canny edge detection

    With the advancement of cloud computing technology, cloud servers are utilized to process large-scale data, especially multimedia data. However, concerns about leakage of private information prevent cloud comp...

    Bowen Li, Fazhi He, **antao Zeng in The Visual Computer (2022)

  5. No Access

    Article

    A multi-phase blending method with incremental intensity for training detection networks

    Object detection is an important topic for visual data processing in the visual computing area. Although a number of approaches have been studied, it still remains a challenge. There is a suitable way to promo...

    Quan Quan, Fazhi He, Haoran Li in The Visual Computer (2021)

  6. Article

    Open Access

    Weight asynchronous update: Improving the diversity of filters in a deep convolutional network

    Deep convolutional networks have obtained remarkable achievements on various visual tasks due to their strong ability to learn a variety of features. A well-trained deep convolutional network can be compressed...

    Dejun Zhang, Linchao He, Mengting Luo, Zhanya Xu, Fazhi He in Computational Visual Media (2020)

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    Article

    DRCDN: learning deep residual convolutional dehazing networks

    Single image dehazing, which is the process of removing haze from a single input image, is an important task in computer vision. This task is extremely challenging because it is massively ill-posed. In this pa...

    Shengdong Zhang, Fazhi He in The Visual Computer (2020)

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    Article

    Part-based visual tracking with spatially regularized correlation filters

    Discriminative Correlation Filters (DCFs) have demonstrated excellent performance in visual object tracking. These methods utilize a periodic assumption of the training samples to efficiently learn a classifie...

    Dejun Zhang, Zhao Zhang, Lu Zou, Zhuyang **e, Fazhi He, Yiqi Wu in The Visual Computer (2020)

  9. No Access

    Article

    Joint learning of image detail and transmission map for single image dehazing

    Single image haze removal is an important task in computer vision. However, haze removal is an extremely challenging problem due to its massively ill-posed, which is that at each pixel we must estimate the tra...

    Shengdong Zhang, Fazhi He, Wenqi Ren, Jian Yao in The Visual Computer (2020)

  10. No Access

    Article

    Performance-based control interfaces using mixture of factor analyzers

    This paper introduces an approach to performance animation that employs a small number of inertial measurement sensors to create an easy-to-use system for an interactive control of a full-body human character....

    Huajun Liu, Fazhi He, **antao Cai, **ao Chen, Zhao Chen in The Visual Computer (2011)