Search Results - Qiao, Meina

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  1. 1

    A fast and robust convolutional neural network-based defect detection model in product quality control by Wang, Tian, Chen, Yang, Qiao, Meina, Snoussi, Hichem

    “…The fast and robust automated quality visual inspection has received increasing attention in the product quality control for production efficiency. To…”
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    Journal Article
  2. 2

    Data-driven prognostic method based on self-supervised learning approaches for fault detection by Wang, Tian, Qiao, Meina, Zhang, Mengyi, Yang, Yi, Snoussi, Hichem

    Published in Journal of intelligent manufacturing (01-10-2020)
    “…As a part of prognostics and health management (PHM), fault detection has been used in many fields to improve the reliability of the system and reduce the…”
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    Journal Article
  3. 3

    Abnormal global and local event detection in compressive sensing domain by Wang, Tian, Qiao, Meina, Chen, Jie, Wang, Chuanyun, Zhang, Wenjia, Snoussi, Hichem

    Published in AIP advances (01-05-2018)
    “…Abnormal event detection, also known as anomaly detection, is one challenging task in security video surveillance. It is important to develop effective and…”
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    Journal Article
  4. 4

    Abnormal event detection based on deep autoencoder fusing optical flow by Meina Qiao, Tian Wang, Jiakun Li, Ce Li, Zhiwei Lin, Snoussi, Hichem

    Published in 2017 36th Chinese Control Conference (CCC) (01-07-2017)
    “…As an important research topic in computer vision, abnormal detection has gained more and more attention. In order to detect abnormal events effectively, we…”
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    Conference Proceeding
  5. 5

    Abnormal event detection based on analysis of movement information of video sequence by Wang, Tian, Qiao, Meina, Deng, Yingjun, Zhou, Yi, Wang, Huan, Lyu, Qi, Snoussi, Hichem

    Published in Optik (Stuttgart) (01-01-2018)
    “…Abnormal event detection is a challenging problem in video surveillance which is essential to the early-warning security and protection system. We propose an…”
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    Journal Article
  6. 6

    Abnormal event detection via covariance matrix for optical flow based feature by Wang, Tian, Qiao, Meina, Zhu, Aichun, Niu, Yida, Li, Ce, Snoussi, Hichem

    Published in Multimedia tools and applications (01-07-2018)
    “…Abnormal event detection is one of the most important objectives in security surveillance for public scenes. In this paper, a new high-performance algorithm…”
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    Journal Article
  7. 7

    Abnormal event detection via the analysis of multi-frame optical flow information by Wang, Tian, Qiao, Meina, Zhu, Aichun, Shan, Guangcun, Snoussi, Hichem

    Published in Frontiers of Computer Science (01-04-2020)
    “…Security surveillance of public scene is closely relevant to routine safety of individual. Under the stimulus of this concern, abnormal event detection is…”
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    Journal Article
  8. 8

    Generative Neural Networks for Anomaly Detection in Crowded Scenes by Wang, Tian, Qiao, Meina, Lin, Zhiwei, Li, Ce, Snoussi, Hichem, Liu, Zhe, Choi, Chang

    “…Security surveillance is critical to social harmony and people's peaceful life. It has a great impact on strengthening social stability and life safeguarding…”
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    Journal Article
  9. 9

    Video feature descriptor combining motion and appearance cues with length-invariant characteristics by Wang, Tian, Qiao, Meina, Chen, Yang, Chen, Jie, Zhu, Aichun, Snoussi, Hichem

    Published in Optik (Stuttgart) (01-03-2018)
    “…Feature descriptor is one of the important subjects in video analysis problem. In this paper, we propose one video feature descriptor combining motion and…”
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    Journal Article
  10. 10

    Friendship Inference in Mobile Social Networks: Exploiting Multi-Source Information With Two-Stage Deep Learning Framework by Zhao, Yi, Qiao, Meina, Wang, Haiyang, Zhang, Rui, Wang, Dan, Xu, Ke

    Published in IEEE/ACM transactions on networking (01-04-2023)
    “…With the tremendous growth of mobile social networks (MSNs), people are highly relying on it to connect with friends and further expand their social circles…”
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    Journal Article
  11. 11

    THIN SEAM SHEARER RELIABILITY ANALYSIS UNDER COMPLEX COAL SEAM OCCURRENCE CONDITIONS by ZHAO LiJuan, LAN JinBao, QIAO MeiNa

    Published in Ji xie qiang du (15-02-2016)
    “…Based on the rigid-flexible coupling multi-body system dynamics theory,built the rigid-flexible coupling model of shearer’s cutting part,researched the annular…”
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    Journal Article
  12. 12

    MEC-Enabled Hierarchical Emotion Recognition and Perturbation-Aware Defense in Smart Cities by Zhao, Yi, Xu, Ke, Wang, Haiyang, Li, Bo, Qiao, Meina, Shi, Haobin

    Published in IEEE internet of things journal (01-12-2021)
    “…With the explosive growth of Internet of Things (IoT) devices and various emerging network technologies, IoT-enabled smart cities are further refined into…”
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    Journal Article
  13. 13

    Analysis on beverage consumption status and influence factors of primary and secondary school students in Hebei Province by QIAO Xiaofang, LUO Xiaoyan, ZHOU Yuanyuan, TIAN Meina, MIAO Runxiao, LIANG Yong, LIU Changqing

    Published in Zhongguo shipin weisheng zazhi (01-06-2023)
    “…ObjectiveTo investigate beverage consumption and influence factors of primary and secondary school students, and provide a scientific basis for guiding the…”
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    Journal Article
  14. 14

    TDFI: Two-stage Deep Learning Framework for Friendship Inference via Multi-source Information by Zhao, Yi, Qiao, Meina, Wang, Haiyang, Zhang, Rui, Wang, Dan, Xu, Ke, Tan, Qi

    “…Due to the explosive growth of social network services, friendship inference has been widely adopted by Online Social Service Providers (OSSPs) for friend…”
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    Conference Proceeding
  15. 15

    Robust object detection for tiny and dense targets in VHR aerial images by Haining Xie, Tian Wang, Meina Qiao, Mengyi Zhang, Guangcun Shan, Snoussi, Hichem

    Published in 2017 Chinese Automation Congress (CAC) (01-10-2017)
    “…Object detection in Very High Resolution (VHR) optical remote sensing images is a challenged work for objects are usually dense and tiny. With random…”
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    Conference Proceeding
  16. 16

    Object detection in remote sensing images based on one-class classification by Tian Wang, Yang Chen, Meina Qiao, Aichun Zhu, Ziyu Wang, Snoussi, Hichem

    Published in 2017 Chinese Automation Congress (CAC) (01-10-2017)
    “…For remote sensing image understanding, target detection is one of the most important tasks. In this paper, we propose one object detection method based on…”
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    Conference Proceeding
  17. 17

    Real time Object Tracking based on Local Texture Feature with Correlation Filter by Meina Qiao, Tian Wang, Yuan Dong, Jingang Shi, Jing Teng, Snoussi, Hichem

    “…Object tracking is a fundamental problem in computer vision, therefore attracts many researchers and there has been many influential algorithms in the list few…”
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    Conference Proceeding
  18. 18

    Antidepressant-like effect of the saponins part of ethanol extract from SHF by Liang, Yan, Yang, Xu, Zhang, Xiaojian, Duan, Hongquan, Jin, Meina, Sun, Yan, Yuan, Hengjie, Li, Junqiang, Qi, Yuedong, Qiao, Wei

    Published in Journal of ethnopharmacology (15-09-2016)
    “…Suanzaorenhehuan Formula (SHF) has been used for treating depression-like disorders for many years in China. The saponins part of the SHF (SSHF) extract was…”
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    Journal Article
  19. 19

    Strength Analysis of Planetary Gear Train of A New Shearer Cutting Unit by Zhao Lijuan, Qiao Meina, Lan Jinbao

    Published in Jixie Chuandong (01-01-2015)
    “…Taking the planetary gear train in a new type of thin seam shearer cutting part as the research object,based on multi-body dynamics theory,the rigid-flexible…”
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    Journal Article
  20. 20

    MaskOCR: Text Recognition with Masked Encoder-Decoder Pretraining by Lyu, Pengyuan, Zhang, Chengquan, Liu, Shanshan, Qiao, Meina, Xu, Yangliu, Wu, Liang, Yao, Kun, Han, Junyu, Ding, Errui, Wang, Jingdong

    Published 01-06-2022
    “…Text images contain both visual and linguistic information. However, existing pre-training techniques for text recognition mainly focus on either visual…”
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    Journal Article