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MAST-GNN: A multimodal adaptive spatio-temporal graph neural network for airspace complexity prediction 期刊论文
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2024, 卷号: 160, 页码: 20
作者:  Li, Biyue;  Li, Zhishuai;  Chen, Jun;  Yan, Yongjie;  Lv, Yisheng;  Du, Wenbo
收藏  |  浏览/下载：14/0  |  提交时间：2024/07/03
Airspace Complexity Prediction  Air Traffic Management  Spatio-temporal Graph Neural Network  Graph Convolutional Neural Network  Attention Mechanism  
Pavement Defect Detection with Deep Learning: A Comprehensive Survey 期刊论文
IEEE Transactions on Intelligent Vehicles, 2023, 卷号: 9, 期号: 3, 页码: 4292 - 4311
作者:  Lili Fan;  Dandan Wang;  Junhao Wang;  Yunjie Li;  Yifeng Cao;  Yi Liu;  Xiaoming Chen;  Yutong Wang
Adobe PDF(6287Kb)  |  收藏  |  浏览/下载：51/13  |  提交时间：2024/06/06
Deep learning  pavement defect detection  computer vision  image processing  3D image  
SlowFastFormer for 3D human pose estimation 期刊论文
Computer Vision and Image Understanding, 2024, 卷号: 243, 期号: 243, 页码: 103992
作者:  Zhou Lu;  Chen Yingying;  Wang Jinqiao
Adobe PDF(989Kb)  |  收藏  |  浏览/下载：55/19  |  提交时间：2024/06/03
SlowFastFormer  Transformer  Blending  3D human pose estimation  Hierarchical supervision  
Temporal Double Graph Convolutional Network for CO and CO2 Prediction in Blast Furnace Gas 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 卷号: 73, 页码: 13
作者:  Zhang, Tingkun;  Liu, Chengbao;  Liu, Zhenjie;  Tan, Jie;  Ahmat, Mutellip
收藏  |  浏览/下载：71/0  |  提交时间：2024/03/26
Blast furnace gas (BFG)  CO and CO2 content  graph convolutional network (GCN)  hypergraph convolutional network  prediction  
Exploring Explicitly Disentangled Features for Domain Generalization 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 11, 页码: 6360-6373
作者:  Li, Jingwei;  Li, Yuan;  Wang, Huanjie;  Liu, Chengbao;  Tan, Jie
Adobe PDF(2432Kb)  |  收藏  |  浏览/下载：133/14  |  提交时间：2023/12/21
Domain generalization  feature disentanglement  Fourier transform  data augmentation  
Accurate Lung Nodule Segmentation With Detailed Representation Transfer and Soft Mask Supervision 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:  Wang, Changwei;  Xu, Rongtao;  Xu, Shibiao;  Meng, Weiliang;  Xiao, Jun;  Zhang, Xiaopeng
Adobe PDF(4178Kb)  |  收藏  |  浏览/下载：168/16  |  提交时间：2023/12/21
Detailed representation transfer  lung nodules segmentation  medical images segmentation  soft mask  
BGL-Net: A Brain-Inspired Global-Local Information Fusion Network for Alzheimers Disease Based on sMRI 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 3, 页码: 1161-1169
作者:  Fan, Chen-Chen;  Yang, Hongjun;  Peng, Liang;  Zhou, Xiao-Hu;  Ni, Zhen-Liang;  Zhou, Yan-Jie;  Chen, Sheng;  Hou, Zeng-Guang
收藏  |  浏览/下载：191/0  |  提交时间：2023/12/21
Alzheimer's disease (AD)  cognitive assessment  convolutional neural networks (CNNs)  graph neural networks  structural magnetic resonance imaging (sMRI)  
Tri-HGNN: Learning triple policies fused hierarchical graph neural networks for pedestrian trajectory prediction 期刊论文
PATTERN RECOGNITION, 2023, 卷号: 143, 页码: 11
作者:  Zhu, Wenjun;  Liu, Yanghong;  Wang, Peng;  Zhang, Mengyi;  Wang, Tian;  Yi, Yang
收藏  |  浏览/下载：107/0  |  提交时间：2023/11/17
Trajectory prediction  Hierarchical policy  Graph neural networks  
Human Parsing With Part-Aware Relation Modeling 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 25, 页码: 2601-2612
作者:  Zhang, Xiaomei;  Chen, Yingying;  Tang, Ming;  Wang, Jinqiao;  Zhu, Xiangyu;  Lei, Zhen
Adobe PDF(6053Kb)  |  收藏  |  浏览/下载：174/24  |  提交时间：2023/11/17
Human parsing  modeling  part-aware relation  
The Human Continuity Activity Semisupervised Recognizing Model for Multiview IoT Network 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2023, 卷号: 10, 期号: 11, 页码: 9398-9410
作者:  Yuan, Ruiwen;  Wang, Junping
Adobe PDF(1944Kb)  |  收藏  |  浏览/下载：113/6  |  提交时间：2023/11/17
Feature extraction  Sensors  Human activity recognition  Internet of Things  Data models  Sensor phenomena and characterization  Data mining  Activity feature extraction  deep learning  human activity recognition (HAR)  semisupervised learning