Search Results - Qiao, Meina
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A fast and robust convolutional neural network-based defect detection model in product quality control
Published in International journal of advanced manufacturing technology (01-02-2018)“…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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Data-driven prognostic method based on self-supervised learning approaches for fault detection
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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3
Abnormal global and local event detection in compressive sensing domain
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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Abnormal event detection based on deep autoencoder fusing optical flow
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 -
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Abnormal event detection based on analysis of movement information of video sequence
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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Abnormal event detection via covariance matrix for optical flow based feature
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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Abnormal event detection via the analysis of multi-frame optical flow information
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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8
Generative Neural Networks for Anomaly Detection in Crowded Scenes
Published in IEEE transactions on information forensics and security (01-05-2019)“…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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9
Video feature descriptor combining motion and appearance cues with length-invariant characteristics
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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10
Friendship Inference in Mobile Social Networks: Exploiting Multi-Source Information With Two-Stage Deep Learning Framework
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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11
THIN SEAM SHEARER RELIABILITY ANALYSIS UNDER COMPLEX COAL SEAM OCCURRENCE CONDITIONS
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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MEC-Enabled Hierarchical Emotion Recognition and Perturbation-Aware Defense in Smart Cities
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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Analysis on beverage consumption status and influence factors of primary and secondary school students in Hebei Province
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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14
TDFI: Two-stage Deep Learning Framework for Friendship Inference via Multi-source Information
Published in IEEE INFOCOM 2019 - IEEE Conference on Computer Communications (01-04-2019)“…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
Robust object detection for tiny and dense targets in VHR aerial images
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 -
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Object detection in remote sensing images based on one-class classification
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
Real time Object Tracking based on Local Texture Feature with Correlation Filter
Published in 2016 IEEE International Conference on Digital Signal Processing (DSP) (01-10-2016)“…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
Antidepressant-like effect of the saponins part of ethanol extract from SHF
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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19
Strength Analysis of Planetary Gear Train of A New Shearer Cutting Unit
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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20
MaskOCR: Text Recognition with Masked Encoder-Decoder Pretraining
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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