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Multi-feature deep supervised voiceprint adversarial network for depression recognition from speech 期刊论文
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2024, 卷号: 89, 页码: 15
作者:  Pan, Yuchen;  Shang, Yuanyuan;  Wang, Wei;  Shao, Zhuhong;  Han, Zhuojin;  Liu, Tie;  Guo, Guodong;  Ding, Hui
收藏  |  浏览/下载：8/0  |  提交时间：2024/05/20
Adversarial learning  Audio processing  Attention mechanism  Deep neural network  Depression recognition  Feature enhancement  
Event Graph Guided Compositional Spatial--Temporal Reasoning for Video Question Answering 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 卷号: 33, 页码: 1109-1121
作者:  Bai, Ziyi;  Wang, Ruiping;  Gao, Difei;  Chen, Xilin
收藏  |  浏览/下载：7/0  |  提交时间：2024/05/20
Visualization  Cognition  Transformers  Semantics  Feature extraction  Context modeling  Task analysis  VideoQA  video representation  transformer  spatial-temporal reasoning  compositional reasoning  
Motion-Inspired Real-Time Garment Synthesis with Temporal-Consistency 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2023, 卷号: 38, 期号: 6, 页码: 1356-1368
作者:  Wei, Yu-Kun;  Shi, Min;  Feng, Wen-Ke;  Zhu, Deng-Ming;  Mao, Tian-Lu
收藏  |  浏览/下载：6/0  |  提交时间：2024/05/20
clothing animation  computer graphics  transformer  temporal consistency  
Mining collaborative spatio-temporal clues for face forgery detection 期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 页码: 20
作者:  Ding, Bo;  Fan, Zhenfeng;  Zhao, Zejun;  Xia, Shihong
收藏  |  浏览/下载：11/0  |  提交时间：2023/12/04
Face forgery detection  Spatial-temporal clue  Low-level feature  Collaborative learning  Multimodel attention  
Deep Deformation Detail Synthesis for Thin Shell Models 期刊论文
COMPUTER GRAPHICS FORUM, 2023, 页码: 13
作者:  Chen, Lan;  Gao, Lin;  Yang, Jie;  Xu, Shibiao;  Ye, Juntao;  Zhang, Xiaopeng;  Lai, Yu-Kun
收藏  |  浏览/下载：11/0  |  提交时间：2023/12/04
Computing methodologies  Physical simulation  Artificial intelligence  
Research on Multi-Port Ship Traffic Prediction Method Based on Spatiotemporal Graph Neural Networks 期刊论文
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2023, 卷号: 11, 期号: 7, 页码: 18
作者:  Li, Yong;  Li, Zhaoxuan;  Mei, Qiang;  Wang, Peng;  Hu, Wenlong;  Wang, Zhishan;  Xie, Wenxin;  Yang, Yang;  Chen, Yuhaoran
收藏  |  浏览/下载：11/0  |  提交时间：2023/12/04
spatiotemporal graph neural network  traffic flow prediction  ship big data  AIS  port traffic prediction  
Bi-STAN: bilinear spatial-temporal attention network for wearable human activity recognition 期刊论文
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2023, 页码: 17
作者:  Gao, Chenlong;  Chen, Yiqiang;  Jiang, Xinlong;  Hu, Lisha;  Zhao, Zhicheng;  Zhang, Yuxin
收藏  |  浏览/下载：18/0  |  提交时间：2023/07/12
Human activity recognition  Spatial-temporal attention  Bilinear pooling  Low-redundancy  
HANDOM: Heterogeneous Attention Network Model for Malicious Domain Detection 期刊论文
COMPUTERS & SECURITY, 2023, 卷号: 125, 页码: 14
作者:  Wang, Qing;  Dong, Cong;  Jian, Shijie;  Du, Dan;  Lu, Zhigang;  Qi, Yinhao;  Han, Dongxu;  Ma, Xiaobo;  Wang, Fei;  Liu, Yuling
收藏  |  浏览/下载：18/0  |  提交时间：2023/07/12
Malware domain detection  Spatial -Temporal contextual correlation  Heterogeneous attention network  Statistical -and -Structural information  
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 2, 页码: 2118-2132
作者:  Zhang, Yuxin;  Chen, Yiqiang;  Wang, Jindong;  Pan, Zhiwen
收藏  |  浏览/下载：18/0  |  提交时间：2023/07/12
Anomaly detection  Predictive models  Data models  Autoregressive processes  Image reconstruction  Forecasting  Computational modeling  Unsupervised anomaly detection  multi-sensor time series  convolutional autoencoder  attention based BiLSTM  
STAM: A SpatioTemporal Attention Based Memory for Video Prediction 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 2354-2367
作者:  Chang, Zheng;  Zhang, Xinfeng;  Wang, Shanshe;  Ma, Siwei;  Gao, Wen
收藏  |  浏览/下载：11/0  |  提交时间：2023/12/04
Global spatiotemporal information  spatio temporal receptive field  3D convolutional neural network  spatiotemporal attention  sequence learning  video prediction