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    Article

    Geometric Prior Guided Feature Representation Learning for Long-Tailed Classification

    Real-world data are long-tailed, the lack of tail samples leads to a significant limitation in the generalization ability of the model. Although numerous approaches of class re-balancing perform well for moder...

    Yanbiao Ma, Licheng Jiao, Fang Liu in International Journal of Computer Vision (2024)

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    Chapter and Conference Paper

    Multi-scale Spatial Aggregation Network for Remote Sensing Image Segmentation

    Semantic segmentation of remote sensing images is of great significance to the interpretation of remote sensing images. Recently, convolutional neural networks have been increasingly used in this task since it...

    **nkai Sun, **g Gu, Jie Feng, Shuyuan Yang, Licheng Jiao in Intelligence Science IV (2022)

  3. Article

    Open Access

    Pansharpening based on convolutional autoencoder and multi-scale guided filter

    In this paper, we propose a pansharpening method based on a convolutional autoencoder. The convolutional autoencoder is a sort of convolutional neural network (CNN) and objective to scale down the input dimens...

    Ahmad AL Smadi, Shuyuan Yang, Zhang Kai in EURASIP Journal on Image and Video Process… (2021)

  4. No Access

    Chapter and Conference Paper

    Selective Search and Sequential Detection for Standard Plane Localization in Ultrasound

    We present the first automatic solution for localizing fetal abdominal standard plane (FASP) in consecutive 2D ultrasound images. FASP is located in the presence of three key anatomies detected by learning bas...

    Dong Ni, Tianmei Li, **n Yang, **g Qin in Abdominal Imaging. Computation and Clinica… (2013)

  5. No Access

    Chapter and Conference Paper

    Online Sequential Extreme Learning of Sparse Ridgelet Kernel Regressor for Nonlinear Time-Series Prediction

    In this paper, inspired by Multiscale Geometric Analysis (MGA), a Sparse Ridgelet Kernel Regressor (SRKR) is constructed by combing ridgelet theory with kernel trick. Considering the preferable future of seque...

    Shuyuan Yang, DiJun Zuo, Min Wang in Intelligent Science and Intelligent Data E… (2012)