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Color-Unrelated Head-Shoulder Networks for Fine-Grained Person Re-identification 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2023, 卷号: 19, 期号: 6, 页码: 21
作者:  Xu, Boqiang;  Liang, Jian;  He, Lingxiao;  Wu, Jinlin;  Fan, Chao;  Sun, Zhenan
收藏  |  浏览/下载：76/0  |  提交时间：2023/11/17
Person re-identification  fine-grained matching  visual surveillance  
Learning to Adapt Across Dual Discrepancy for Cross-Domain Person Re-Identification 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 2, 页码: 1963-1980
作者:  Luo, Chuanchen;  Song, Chunfeng;  Zhang, Zhaoxiang
Adobe PDF(2539Kb)  |  收藏  |  浏览/下载：215/65  |  提交时间：2023/03/20
Person re-identification  domain adaptation  cross-domain mixup  camera-aware learning  self-paced learning  
Predicting the Epidemics Trend of COVID-19 Using Epidemiological-Based Generative Adversarial Networks 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2022, 卷号: 16, 期号: 2, 页码: 276-288
作者:  Wang, Haishuai;  Tao, Guangyu;  Ma, Jiali;  Jia, Shangru;  Chi, Lianhua;  Yang, Hong;  Zhao, Ziping;  Tao, Jianhua
收藏  |  浏览/下载：278/0  |  提交时间：2022/07/25
COVID-19  Predictive models  Mathematical models  Data models  Pandemics  Market research  Biological system modeling  COVID-19  generative adversarial networks  time series prediction  SIR simulation  
Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions 期刊论文
INFORMS JOURNAL ON COMPUTING, 2022, 页码: 19
作者:  Tian, Hu;  Zheng, Xiaolong;  Zhao, Kang;  Liu, Maggie Wenjing;  Zeng, Daniel Dajun
Adobe PDF(1329Kb)  |  收藏  |  浏览/下载：292/60  |  提交时间：2022/07/25
graph representation learning  deep learning  predictive models  business intelligence  
Cascaded Split-and-Aggregate Learning with Feature Recombination for Pedestrian Attribute Recognition 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2021, 页码: 14
作者:  Yang, Yang;  Tan, Zichang;  Tiwari, Prayag;  Pandey, Hari Mohan;  Wan, Jun;  Lei, Zhen;  Guo, Guodong;  Li, Stan Z.
收藏  |  浏览/下载：262/0  |  提交时间：2021/11/02
Pedestrian attribute recognition  Attention  Split-and-aggregate learning  Feature recombination  
Multi-object tracking with hard-soft attention network and group-based cost minimization 期刊论文
NEUROCOMPUTING, 2021, 卷号: 447, 页码: 80-91
作者:  Liu, Yating;  Li, Xuesong;  Bai, Tianxiang;  Wang, Kunfeng;  Wang, Fei-Yue
Adobe PDF(2352Kb)  |  收藏  |  浏览/下载：315/79  |  提交时间：2021/08/15
Multi-object tracking  Attention mechanism  Unary and binary costs  Appearance-motion affinity  
A novel framework of collaborative early warning for COVID-19 based on blockchain and smart contracts 期刊论文
INFORMATION SCIENCES, 2021, 卷号: 570, 页码: 124-143
作者:  Ouyang, Liwei;  Yuan, Yong;  Cao, Yumeng;  Wang, Fei-Yue
Adobe PDF(1322Kb)  |  收藏  |  浏览/下载：287/60  |  提交时间：2021/08/15
Blockchain  Smart contracts  Federated learning  Learning markets  Collaborative early warning  
Improving Domain-adaptive Person Re-identification by Dual-alignment Learning with Camera-aware Image Generation 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2020, 卷号: 31, 期号: Early Access, 页码: 1 - 1
作者:  Chenyang Zhang;  Yongqiang Tang;  Zhizhong Zhang;  Ding Li;  Xuebing Yang;  Wensheng Zhang
Adobe PDF(7184Kb)  |  收藏  |  浏览/下载：318/81  |  提交时间：2021/06/23
Person Re-identification  Convolutional Neural Networks  Generative Adversarial Networks  Mutual Information  
Intra-domain Consistency Enhancement for Unsupervised Person Re-identification 期刊论文
IEEE Transactions on Multimedia, 2021, 卷号: 0, 期号: 0, 页码: 0-0
作者:  Li, Yaoyu;  Yao, Hantao;  Xu, Changsheng
Adobe PDF(2167Kb)  |  收藏  |  浏览/下载：195/54  |  提交时间：2021/06/22
Person Re-identification  unsupervised domain adaptation  representation learning  
Evolving Container to Unikernel for Edge Computing and Applications in Process Industry 期刊论文
PROCESSES, 2021, 卷号: 9, 期号: 2, 页码: 18
作者:  Chen, Shichao;  Zhou, Mengchu
Adobe PDF(619Kb)  |  收藏  |  浏览/下载：225/44  |  提交时间：2021/03/29
big data analytics  lightweight virtualization  cloud computing  edge computing  industrial process  Industry 4.0  Internet of things  machine learning  process industry  fault diagnosis