Search Results - "Zhang, Guanwen"
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Research on the Remaining Life Prediction Method of Rolling Bearings Based on Multi-Feature Fusion
Published in Applied sciences (01-02-2024)“…Rolling bearings are one of the most important and indispensable components of a mechanical system, and an accurate prediction of their remaining life is…”
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Social media use for coping with stress and psychological adjustment: A transactional model of stress and coping perspective
Published in Frontiers in psychology (21-03-2023)“…The psychological well-being of individuals has become an essential issue during the global pandemic. As a pervasive activity for individuals to pull through…”
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A deep learning method for video‐based action recognition
Published in IET image processing (01-12-2021)“…In this paper, a deep learning method for video‐based action recognition is proposed. On the one hand, boundary compensation on the basis of a deep neural…”
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BCAP31, a cancer/testis antigen-like protein, can act as a probe for non-small-cell lung cancer metastasis
Published in Scientific reports (04-03-2020)“…Non-small-cell lung cancer (NSCLC) represents most of lung cancers, is often diagnosed at an advanced metastatic stage. Therefore, exploring the mechanisms…”
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OpenStack Swift: An Ideal Bit-Level Object Storage System for Digital Preservation
Published in International Journal of Digital Curation (07-10-2022)“…A bit-level object storage system is a foundational building block of long-term digital preservation (LTDP). To achieve the purposes of LTDP, the system must…”
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Deep Reinforcement Learning for Autonomous Driving by Transferring Visual Features
Published in 2020 25th International Conference on Pattern Recognition (ICPR) (10-01-2021)“…Deep reinforcement learning (DRL) has achieved great success in processing vision-based driving tasks. However, the end-to-end training manner makes DRL agents…”
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Conference Proceeding -
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Sensitivity-Oriented Layer-Wise Acceleration and Compression for Convolutional Neural Network
Published in IEEE access (2019)“…Convolutional neural networks (CNNs) have achieved excellent performance improvement in image processing and other machine learning tasks. However, tremendous…”
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DNA Vaccines Encoding HTNV GP-Derived Th Epitopes Benefited from a LAMP-Targeting Strategy and Established Cellular Immunoprotection
Published in Vaccines (Basel) (19-08-2024)“…Vaccines has long been the focus of antiviral immunotherapy research. Viral epitopes are thought to be useful biomarkers for immunotherapy (both antibody-based…”
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MonoBooster: Semi-Dense Skip Connection With Cross-Level Attention for Boosting Self-Supervised Monocular Depth Estimation
Published in IEEE signal processing letters (2024)“…Accurate depth estimation is crucial for various applications that require precise 3D information about the surrounding environment. In this paper, we propose…”
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Multi-Perspective Tracking for Intelligent Vehicle
Published in IEEE transactions on intelligent transportation systems (01-02-2018)“…The multi-camera array has drawn attention of researchers in recent years, and has been configured and deployed on intelligent vehicle to capture the panoramic…”
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Solving Occlusion Problem in Pedestrian Detection by Constructing Discriminative Part Layers
Published in 2017 IEEE Winter Conference on Applications of Computer Vision (WACV) (01-03-2017)“…Occlusion handling is one of the most challenging issues for pedestrian detection, and no satisfactory achievement has been found in this issue yet. Using…”
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Conference Proceeding -
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Comparison of soundwalks in major European cities
Published in Applied acoustics (01-07-2021)“…The quality of the sonic environment in major cities is becoming increasingly important owing to growing concerns regarding noise pollution and the need to…”
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13
Add-On Strategies for Fine-Grained Pedestrian Classification
Published in 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA) (01-11-2016)“…In this paper, we present four add-on strategies for the fine-grained pedestrian classification task. These strategies are: (1) super-resolution based image…”
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Conference Proceeding -
14
Saliency aware fast intra coding algorithm for HEVC
Published in 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA) (01-12-2016)“…In this paper, a saliency aware fast intra coding algorithm for HEVC is proposed consists of perceptual intra coding and fast intra prediction mode decision…”
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Conference Proceeding -
15
How to initialize the CNN for small datasets: Extracting discriminative filters from pre-trained model
Published in 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR) (01-11-2015)“…In this paper, we study how to initialize the convolutional neural network (CNN) model for training on a small dataset. Specially, we try to extract…”
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Conference Proceeding -
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Recurrent Deep Attention Network for Person Re-Identification
Published in 2020 25th International Conference on Pattern Recognition (ICPR) (10-01-2021)“…Person re-identification (re-id) is an important task in video surveillance. It is challenging due to the appearance of person varying a wide range across…”
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Conference Proceeding -
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People re-identification using two-stage transfer metric learning
Published in 2015 14th IAPR International Conference on Machine Vision Applications (MVA) (01-05-2015)“…With assumptions that people usually do not change their clothes during an observation period, people appearance data are easily outdated in re-identification…”
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Conference Proceeding -
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TSMSAN: A Three-Stream Multi-Scale Attentive Network for Video Saliency Detection
Published in 2020 25th International Conference on Pattern Recognition (ICPR) (10-01-2021)“…Video saliency detection is an important low-level task that has been used in a large range of high-level applications. In this paper, we proposed a…”
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Conference Proceeding -
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Fast RQT structure decision method for HEVC
Published in 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA) (01-12-2016)“…Variable transform block (TB) sizes cause high computational complexity at the HEVC encoder. In this paper, a fast residual quad-tree (RQT) structure decision…”
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Conference Proceeding -
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Adaptive Metric Learning in Local Distance Comparison for People Re-identification
Published in 2013 2nd IAPR Asian Conference on Pattern Recognition (01-11-2013)“…A local distance comparison for multiple-shot people re-identification based on a new adaptive metric learning method is introduced in this paper. There exist…”
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Conference Proceeding