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Beyond Crack: Fine-Grained Pavement Defect Segmentation Using Three-Stream Neural Networks 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2021, 卷号: /, 期号: /, 页码: /
作者:  Zhang, Yujia;  Wu, Junxian;  Li, Qianzhong;  Zhao, Xiaoguang;  Tan, Min
Adobe PDF(12585Kb)  |  收藏  |  浏览/下载：366/61  |  提交时间：2022/04/02
Fine-grained defect segmentation  Crack detection  Semantic segmentation  Pavement inspection  
Brain imaging-based machine learning in autism spectrum disorder: methods and applications 期刊论文
JOURNAL OF NEUROSCIENCE METHODS, 2021, 卷号: 361, 页码: 109271
作者:  Xu, Ming;  Calhoun, Vince;  Jiang, Rongtao;  Yan, Weizheng;  Sui, Jing
Adobe PDF(5520Kb)  |  收藏  |  浏览/下载：326/4  |  提交时间：2021/11/02
Autism spectrum disorder (ASD)  Machine learning  Classification  Prediction  fMRI  sMRI  dMRI  
Heterogeneous Relational Graph Neural Networks with Adaptive Objective for End-to-End Task-Oriented Dialogue 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 227, 期号: 2021, 页码: 107186
作者:  Liu, Qingbin;  Bai, Guirong;  He, Shizhu;  Liu, Cao;  Liu, Kang;  Zhao, Jun
Adobe PDF(1021Kb)  |  收藏  |  浏览/下载：347/73  |  提交时间：2021/11/02
End-to-end task-oriented dialogue  Heterogeneous relational graph neural networks  Shared-private parameterization  Hierarchical attention mechanism  Adaptive objective  
3D-RVP: A method for 3D object reconstruction from a single depth view using voxel and point 期刊论文
NEUROCOMPUTING, 2021, 卷号: 430, 期号: 2021, 页码: 94-103
作者:  Zhao, Meihua;  Xiong, Gang;  Zhou, MengChu;  Shen, Zhen;  Wang, Fei-Yue
Adobe PDF(1476Kb)  |  收藏  |  浏览/下载：325/42  |  提交时间：2021/03/29
3D object reconstruction  Encoder-decoder network  Machine learning  Point prediction network  
Object Reconstruction Based on Attentive Recurrent Network from Single and Multiple Images 期刊论文
NEURAL PROCESSING LETTERS, 2021, 期号: 53, 页码: 18
作者:  Gao, Zishu;  Li, En;  Wang, Zhe;  Yang, Guodong;  Lu, Jiwu;  Ouyang, Bo;  Xu, Dawei;  Liang, Zize
Adobe PDF(1338Kb)  |  收藏  |  浏览/下载：313/67  |  提交时间：2021/03/01
Object reconstruction  Convolutional LSTM  Visual attention  Robotic application