Search Results - "Mao, Shasha"

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  1. 1

    Optimization design of brushless DC motor based on improved JAYA algorithm by Cheng, Yuan, Lyu, Xueli, Mao, Shasha

    Published in Scientific reports (05-03-2024)
    “…Brushless direct current motor is widely used in industrial production because of its simple structure, wide speed range and low noise. To improve the…”
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    Journal Article
  2. 2

    Biologically Inspired Blind Quality Assessment of Tone-Mapped Images by Yue, Guanghui, Hou, Chunping, Gu, Ke, Mao, Shasha, Zhang, Wenjun

    “…Currently, many tone mapping operators (TMOs) have been provided to compress high dynamic range images to low dynamic range (LDR) images for visualizing them…”
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  3. 3

    Structured behaviour prediction of on‐road vehicles via deep forest by Luntian Mou, Shasha Mao, Haitao Xie, Yanyan Chen

    Published in Electronics letters (01-04-2019)
    “…Vision‐based vehicle behaviour analysis has drawn increasing research efforts as an interesting and challenging issue in recent years. Although a variety of…”
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  4. 4

    A Mask-Guided Transformer Network with Topic Token for Remote Sensing Image Captioning by Ren, Zihao, Gou, Shuiping, Guo, Zhang, Mao, Shasha, Li, Ruimin

    Published in Remote sensing (Basel, Switzerland) (01-06-2022)
    “…Remote sensing image captioning aims to describe the content of images using natural language. In contrast with natural images, the scale, distribution, and…”
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  5. 5

    Multi-Scale Similarity Guidance Few-Shot Network for Ship Segmentation in SAR Images by Li, Ruimin, Li, Jichao, Gou, Shuiping, Lu, Haofan, Mao, Shasha, Guo, Zhang

    Published in Remote sensing (Basel, Switzerland) (01-07-2023)
    “…Target detection and segmentation in synthetic aperture radar (SAR) images are vital steps for many remote sensing applications. In the era of data-driven deep…”
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  6. 6

    Multi-Class Double-Transformation Network for SAR Image Registration by Deng, Xiaozheng, Mao, Shasha, Yang, Jinyuan, Lu, Shiming, Gou, Shuiping, Zhou, Youming, Jiao, Licheng

    Published in Remote sensing (Basel, Switzerland) (01-06-2023)
    “…In SAR image registration, most existing methods consider the image registration as a two-classification problem to construct the pair training samples for…”
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  7. 7

    Multi-Scale Fused SAR Image Registration Based on Deep Forest by Mao, Shasha, Yang, Jinyuan, Gou, Shuiping, Jiao, Licheng, Xiong, Tao, Xiong, Lin

    Published in Remote sensing (Basel, Switzerland) (01-06-2021)
    “…SAR image registration is a crucial problem in SAR image processing since the registration results with high precision are conducive to improving the quality…”
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  8. 8

    Adaptively Enhancing Facial Expression Crucial Regions via a Local Non-local Joint Network by Shi Guanghui, Mao Shasha, Gou Shuiping, Yan, Dandan, Jiao Licheng, Lin, Xiong

    “…Facial expression recognition (FER) is still challenging due to the small interclass discrepancy in facial expression data. In view of the significance of…”
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  9. 9

    Greedy optimization classifiers ensemble based on diversity by Mao, Shasha, Jiao, L.C., Xiong, Lin, Gou, Shuiping

    Published in Pattern recognition (01-06-2011)
    “…Decreasing the individual error and increasing the diversity among classifiers are two crucial factors for improving ensemble performances. Nevertheless, the…”
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  10. 10

    Double linear regressions for single labeled image per person face recognition by Yin, Fei, Jiao, L.C., Shang, Fanhua, Xiong, Lin, Mao, Shasha

    Published in Pattern recognition (01-04-2014)
    “…Recently the underlying sparse representation structure in high dimensional data has received considerable attention in pattern recognition and computer…”
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  11. 11

    A Novel Riemannian Metric Based on Riemannian Structure and Scaling Information for Fixed Low-Rank Matrix Completion by Mao, Shasha, Xiong, Lin, Jiao, Licheng, Feng, Tian, Yeung, Sai-Kit

    Published in IEEE transactions on cybernetics (01-05-2017)
    “…Riemannian optimization has been widely used to deal with the fixed low-rank matrix completion problem, and Riemannian metric is a crucial factor of obtaining…”
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  12. 12

    Predicting oleocellosis sensitivity in citrus using VNIR reflectance spectroscopy by Zheng, Yongqiang, He, Shaolan, Yi, Shilai, Zhou, Zhiqin, Mao, Shasha, Zhao, Xuyang, Deng, Lie

    Published in Scientia horticulturae (28-06-2010)
    “…Oleocellosis is a major limiting factor for citrus exports. Therefore, it is important to classify fruit that is sensitive to oleocellosis before storing and…”
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  13. 13

    Characteristics and oleocellosis sensitivity of citrus fruits by Zheng, Yongqiang, He, Shaolan, Yi, Shilai, Zhou, Zhiqin, Mao, Shasha, Zhao, Xuyang, Deng, Lie

    Published in Scientia horticulturae (04-01-2010)
    “…The effects of variety, growth phase, and water loss on development of oleocellosis, and relationships between chromatism and Vis/NIR spectra were studied in…”
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  14. 14

    Self-Paced Feature Attention Fusion Network for Concealed Object Detection in Millimeter-Wave Image by Wang, Xinlin, Gou, Shuiping, Li, Jichao, Zhao, Yinghai, Liu, Zhen, Jiao, Changzhe, Mao, Shasha

    “…The active millimeter-wave (AMMW) scanner has been widely used for inspecting human security in public places in recent years owing to its ability to detect…”
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  15. 15

    A Neural Network Modeling Method With Low-Rate Sampling for Wide Temperature Range SiC MOSFETs Application by Yang, Wenhao, Qi, Mengnan, Sun, Yuyin, Mao, Shasha, Yuan, Lei, Zhang, Yimeng, Zhang, Yuming

    Published in IEEE transactions on electron devices (01-06-2024)
    “…With the rapid development of semiconductor technology, conventional modeling based on physical equations encounters challenges related to accuracy and…”
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  16. 16

    Adaptive Self-Supervised SAR Image Registration With Modifications of Alignment Transformation by Mao, Shasha, Yang, Jinyuan, Gou, Shuiping, Lu, Kai, Jiao, Licheng, Xiong, Tao, Xiong, Lin

    “…Considering that deep learning achieves the prominent performance, it has been applied to synthetic aperture radar (SAR) image registration to improve the…”
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  17. 17

    Weakly-Supervised Semantic Feature Refinement Network for MMW Concealed Object Detection by Gou, Shuiping, Wang, Xinlin, Mao, Shasha, Jiao, Licheng, Liu, Zhen, Zhao, Yinghai

    “…The concealed object detection in millimeter-wave human body images is a challenging task due to the noise and dim-small objects. Exploiting the spatial…”
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  18. 18

    Maximizing diversity by transformed ensemble learning by Mao, Shasha, Chen, Jia-Wei, Jiao, Licheng, Gou, Shuiping, Wang, Rongfang

    Published in Applied soft computing (01-09-2019)
    “…The diversity and the individual accuracies in an ensemble system are usually two opposite objects, which is ignored in most preliminary ensemble learning…”
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  19. 19

    Dual-Branch Residual Disentangled Adversarial Learning Network for Facial Expression Recognition by Chen, Puhua, Wang, Zhe, Mao, Shasha, Hui, Xinyue, Huyan, Ning

    Published in IEEE signal processing letters (2024)
    “…The facial expression recognition is very important for human-computer interaction. Therefore, a large number of researchers are focusing on this topic…”
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  20. 20

    Image-Based Structured Vehicle Behavior Analysis Inspired by Interactive Cognition by Mou, Luntian, Xie, Haitao, Mao, Shasha, Yan, Dandan, Ma, Nan, Yin, Baocai, Gao, Wen

    Published in IEEE transactions on multimedia (2024)
    “…Vehicle behavior analysis has gradually developed by utilizing trajectories and motion features to characterize on-road behavior. However, the existing methods…”
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