中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共743条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Offline handwritten mathematical expression recognition with graph encoder and transformer decoder 期刊论文
PATTERN RECOGNITION, 2024, 卷号: 148, 页码: 11
作者:  Tang, Jia-Man;  Guo, Hong-Yu;  Wu, Jin-Wen;  Yin, Fei;  Huang, Lin-Lin
收藏  |  浏览/下载：44/0  |  提交时间：2024/02/22
Handwritten mathematical expression recognition  Symbol detection  Graph Neural Network  Transformer  
Involving Distinguished Temporal Graph Convolutional Networks for Skeleton-Based Temporal Action Segmentation 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 1, 页码: 647-660
作者:  Li, Yun-Heng;  Liu, Kai-Yuan;  Liu, Sheng-Lan;  Feng, Lin;  Qiao, Hong
收藏  |  浏览/下载：14/0  |  提交时间：2024/03/26
Feature extraction  Motion segmentation  Correlation  Convolution  Topology  Convolutional neural networks  Solid modeling  Skeleton-based temporal action segmentation  enhanced spatial graph structure  segmented encoding  
Attentional Composition Networks for Long-Tailed Human Action Recognition 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2024, 卷号: 20, 期号: 1, 页码: 18
作者:  Wang, Haoran;  Wang, Yajie;  Yu, Baosheng;  Zhan, Yibing;  Yuan, Chunfeng;  Yang, Wankou
收藏  |  浏览/下载：94/0  |  提交时间：2023/11/15
Compositional learning  long tail  few-shot  zero-shot  action recognition  
Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network With Graph Representation Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 14
作者:  Qi, Xingqun;  Sun, Muyi;  Wang, Zijian;  Liu, Jiaming;  Li, Qi;  Zhao, Fang;  Zhang, Shanghang;  Shan, Caifeng
Adobe PDF(6718Kb)  |  收藏  |  浏览/下载：80/31  |  提交时间：2024/02/22
Face photo-sketch synthesis  generative adversarial network  graph representation learning  intraclass and interclass  iterative cycle training (ICT)  
GAN-Based Facial Attribute Manipulation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 14590-14610
作者:  Liu, Yunfan;  Li, Qi;  Deng, Qiyao;  Sun, Zhenan;  Yang, Ming-Hsuan
Adobe PDF(15297Kb)  |  收藏  |  浏览/下载：36/11  |  提交时间：2024/02/22
Generative adversarial networks  image translation  facial attribute manipulation  
Clustering Enhanced Multiplex Graph Contrastive Representation Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Yuan, Ruiwen;  Tang, Yongqiang;  Wu, Yajing;  Zhang, Wensheng
收藏  |  浏览/下载：21/0  |  提交时间：2024/03/27
Contrastive learning  graph representation learning  multiplex graph  multiview graph clustering  
Meta-path infomax joint structure enhancement for multiplex network representation learning 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2023, 卷号: 275, 页码: 14
作者:  Yuan, Ruiwen;  Wu, Yajing;  Tang, Yongqiang;  Wang, Junping;  Zhang, Wensheng
收藏  |  浏览/下载：35/0  |  提交时间：2023/11/17
Multiplex network  Graph neural network  Network representation learning  Complementary information  Graph structure learning  
Motion Forecasting Network (MoFCNet): IMU-Based Human Motion Forecasting for Hip Assistive Exoskeleton 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2023, 卷号: 8, 期号: 9, 页码: 5783-5790
作者:  Zhang, Xingxuan;  Zhang, Haojian;  Hu, Jianhua;  Deng, Jieren;  Wang, Yunkuan
Adobe PDF(1895Kb)  |  收藏  |  浏览/下载：159/70  |  提交时间：2023/11/17
Intention recognition  prosthetics and exoskeletons  human motion forecasting  
Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 9, 页码: 9154-9167
作者:  Zhang, Jinghao;  Zhu, Yanqiao;  Liu, Qiang;  Zhang, Mengqi;  Wu, Shu;  Wang, Liang
收藏  |  浏览/下载：94/0  |  提交时间：2023/11/17
Multimedia recommendation  graph structure learning  contrastive learning  
Lateral interaction by Laplacian-based graph smoothing for deep neural networks 期刊论文
CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY, 2023, 页码: 18
作者:  Chen, Jianhui;  Wang, Zuoren;  Liu, Cheng-Lin
收藏  |  浏览/下载：70/0  |  提交时间：2023/11/16
artificial neural networks  biologically plausible  Laplacian-based graph smoothing  lateral interaction  machine learning