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Transformer-based stroke relation encoding for online handwriting and sketches 期刊论文
PATTERN RECOGNITION, 2024, 卷号: 148, 页码: 13
作者:  Liu, Jing-Yu;  Zhang, Yan-Ming;  Yin, Fei;  Liu, Cheng-Lin
收藏  |  浏览/下载：34/0  |  提交时间：2024/02/22
Online stroke classification  Handwritten document analysis  Diagram recognition  Sketch semantic segmentation  Position encoding in transformer  
Transverse MNP Signal-Based Isotropic Imaging for Magnetic Particle Imaging 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 卷号: 73, 页码: 13
作者:  Li, Lei;  Liao, Yidong;  Wang, Qibin;  Zhang, Zhonghao;  Ge, Dawei;  Hu, Jiawei;  He, Ning;  Liu, Yanjun;  Xu, Chenxiao;  Gao, Yunpeng;  Guo, Pengyue;  Hui, Hui;  Feng, Xin;  Zhu, Shouping;  Tian, Jie
收藏  |  浏览/下载：13/0  |  提交时间：2024/03/26
Isotropic resolution  magnetic particle imaging (MPI)  reconstruction  transverse magnetic nanoparticle (MNP) signal  
Gait Attribute Recognition: A New Benchmark for Learning Richer Attributes From Human Gait Patterns 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2024, 卷号: 19, 页码: 1-14
作者:  Song, Xu;  Hou, Saihui;  Huang, Yan;  Cao, Chunshui;  Liu, Xu;  Huang, Yongzhen;  Shan, Caifeng
收藏  |  浏览/下载：46/0  |  提交时间：2024/02/22
Gait attribute recognition  gait dataset  deep learning  
Hierarchical Policy Learning With Demonstration Learning for Robotic Multiple Peg-in-Hole Assembly Tasks 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 卷号: 19, 期号: 10, 页码: 10254-10264
作者:  Yan, Shaohua;  Xu, De;  Tao, Xian
收藏  |  浏览/下载：69/0  |  提交时间：2023/11/17
Assembly model  demonstration learning (DL)  force-based control algorithm  hierarchical reinforcement learning (HRL)  peg-in-hole assembly  
Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining 期刊论文
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2023, 卷号: 14, 期号: 5, 页码: 21
作者:  Zhu, Yanqiao;  Xu, Yichen;  Yu, Feng;  Liu, Qiang;  Wu, Shu
收藏  |  浏览/下载：58/0  |  提交时间：2023/12/21
Cluster-aware self-training and refining  unsupervised learning  graph representation learning  
RFMNet: Robust Deep Functional Maps for unsupervised non-rigid shape correspondence 期刊论文
GRAPHICAL MODELS, 2023, 卷号: 129, 页码: 11
作者:  Hu, Ling;  Li, Qinsong;  Liu, Shengjun;  Yan, Dong-Ming;  Xu, Haojun;  Liu, Xinru
收藏  |  浏览/下载：44/0  |  提交时间：2023/11/17
Shape correspondence  Functional maps  Unsupervised learning  Optimal transport  
DyGAT: Dynamic stroke classification of online handwritten documents and sketches 期刊论文
PATTERN RECOGNITION, 2023, 卷号: 141, 页码: 12
作者:  Yang, Yu-Ting;  Zhang, Yan-Ming;  Yun, Xiao-Long;  Yin, Fei;  Liu, Cheng-Lin
收藏  |  浏览/下载：85/0  |  提交时间：2023/11/17
Stroke classification  Sketch semantic segmentation  Document layout analysis  Diagram recognition  Streaming recognition  
Common and distinct functional brain network abnormalities in adolescent, early-middle adult, and late adult major depressive disorders 期刊论文
PSYCHOLOGICAL MEDICINE, 2023, 页码: 10
作者:  Long, Yicheng;  Li, Xuemei;  Cao, Hengyi;  Zhang, Manqi;  Lu, Bing;  Huang, Yang;  Liu, Mengqi;  Xu, Ming;  Liu, Zhening;  Yan, Chaogan;  Sui, Jing;  Ouyang, Xuan;  Zhou, Xinyu
收藏  |  浏览/下载：81/0  |  提交时间：2023/11/17
Aging  brain network  connectome  functional connectivity  major depressive disorder  
A Novel Biologically Inspired Structural Model for Feature Correspondence 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 2, 页码: 844-854
作者:  Lu, Yan-Feng;  Yang, Xu;  Li, Yi;  Yu, Qian;  Liu, Zhi-Yong;  Qiao, Hong
收藏  |  浏览/下载：102/0  |  提交时间：2023/11/17
Visualization  Biological system modeling  Biology  Brain modeling  Biological information theory  Task analysis  Strain  Appearance feature descriptor  biologically inspired model  feature correspondence  feature representation  graph matching (GM)  graph structure  
Deep unfolding multi-scale regularizer network for image denoising 期刊论文
COMPUTATIONAL VISUAL MEDIA, 2023, 卷号: 9, 期号: 2, 页码: 335-350
作者:  Xu, Jingzhao;  Yuan, Mengke;  Yan, Dong-Ming;  Wu, Tieru
收藏  |  浏览/下载：203/0  |  提交时间：2023/02/22
image denoising  deep unfolding network  multi-scale regularizer  deep learning