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  1. No Access

    Article

    Dynamic context-driven progressive image inpainting with auxiliary generative units

    Image inpainting aims to restore missing or damaged regions of an image with plausible visual content. Most existing methods always face challenges when dealing with large hole images, such as structural disto...

    Zhiwen Wang, Kai Li, **jia Peng in The Visual Computer (2024)

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    Article

    Facial expression recognition based on local–global information reasoning and spatial distribution of landmark features

    In the field of facial expression recognition (FER), two main trends point to the data-driven FER and feature-driven FER exist. The former focused on the data problems (e.g., sample imbalance and multimodal fu...

    Kunhong **ong, Linbo Qing, Lindong Li, Li Guo, Yonghong Peng in The Visual Computer (2024)

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    Article

    V \(^2\) MLP: an accurate and simple multi-view MLP network for fine-grained 3D shape recognition

    Fine-grained 3D shape recognition (FGSR) is crucial for real-world applications. Existing methods face challenges in achieving high accuracy for FGSR due to high similarity within sub-categories and low dissim...

    Liang Zheng, **g Bai, Shao** Bai, Wen**g Li, Bin Peng, Tao Zhou in The Visual Computer (2023)

  4. Article

    Open Access

    JNeRF: An efficient heterogeneous NeRF model zoo based on Jittor

    Guo-Wei Yang, Zheng-Ning Liu, Dong-Yang Li, Hao-Yang Peng in Computational Visual Media (2023)

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    Article

    HF-SRGR: a new hybrid feature-driven social relation graph reasoning model

    Social relations and interactions between persons form the foundation of human society. Effective recognition of social relationships has great potential for understanding and improving people’s psychology and...

    Lindong Li, Linbo Qing, Yuchen Wang, Jie Su, Yongqiang Cheng in The Visual Computer (2022)

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    Article

    Hierarchical learning with backtracking algorithm based on the Visual Confusion Label Tree for large-scale image classification

    In this paper, a hierarchical learning algorithm based on the Bayesian Neural Network classifier with backtracking is proposed to support large-scale image classification, where a Visual Confusion Label Tree i...

    Yuntao Liu, Yong Dou, Ruochun **, Rongchun Li, Peng Qiao in The Visual Computer (2022)

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    Article

    Embedded real-time infrared and visible image fusion for UAV surveillance

    Infrared and visible image fusion is a beneficial processing task for Unmanned Aerial Vehicle (UAV) surveillance, which can improve visibility by combining the advantages of the infrared camera and the visible...

    Jun Li, Yuanxi Peng, Tian Jiang in Journal of Real-Time Image Processing (2021)

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    Article

    A dedicated hardware accelerator for real-time acceleration of YOLOv2

    In recent years, dedicated hardware accelerators for the acceleration of the convolutional neural network (CNN) have been extensively studied. Although many studies have presented efficient designs on FPGAs fo...

    Ke Xu, **aoyun Wang, **nyang Liu, Changfeng Cao in Journal of Real-Time Image Processing (2021)

  9. Article

    Open Access

    A survey on deep geometry learning: From a representation perspective

    Researchers have achieved great success in dealing with 2D images using deep learning. In recent years, 3D computer vision and geometry deep learning have gained ever more attention. Many advanced techniques f...

    Yun-Peng **ao, Yu-Kun Lai, Fang-Lue Zhang, Chunpeng Li in Computational Visual Media (2020)

  10. No Access

    Article

    A code division multiplexing and block classification-based real-time reversible data-hiding algorithm for medical images

    This paper proposes a novel reversible data hiding (RDH) scheme for medical image based on block classification and code division multiplexing (CDM) in frequency domain. In this scheme, the original medical im...

    Bin Ma, Bing li, **ao-Yu Wang, Chun-Peng Wang in Journal of Real-Time Image Processing (2019)

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    Article

    Accelerated image factorization based on improved NMF algorithm

    Non-negative matrix factorization (NMF) is widely used in feature extraction and dimension reduction fields. Essentially, it is an optimization problem to determine two non-negative low rank matrices ...

    Minghui Song, Yuanxi Peng, Tian Jiang, Jun Li in Journal of Real-Time Image Processing (2018)

  12. No Access

    Article

    Facial age estimation by using stacked feature composition and selection

    In this paper we propose a novel hierarchical feature composition and selection model used in facial age estimation. In recent years, hierarchical architectures have been shown to outperform the flat structure...

    Ya Li, Zhanglin Peng, Depeng Liang, Huiyou Chang, Zhaoquan Cai in The Visual Computer (2016)