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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：45/13  |  提交时间：2024/02/22
Generative adversarial networks  image translation  facial attribute manipulation  
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：124/12  |  提交时间：2023/11/17
Human parsing  modeling  part-aware relation  
Multi-View Multi-Label Fine-Grained Emotion Decoding From Human Brain Activity 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2022, 页码: 1-15
作者:  Fu, Kaicheng;  Du, Changde;  Wang, Shengpei;  He, Huiguang
Adobe PDF(4570Kb)  |  收藏  |  浏览/下载：284/67  |  提交时间：2022/12/27
Fine-grained Emotion Decoding  Multi-view Learning  Multi-label Learning  Variational Autoencoder  Product of Experts  
Image-Based Visual Servoing System for Components Alignment Using Point and Line Features 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 11
作者:  Yan, Shaohua;  Tao, Xian;  Xu, De
Adobe PDF(1856Kb)  |  收藏  |  浏览/下载：203/0  |  提交时间：2022/06/10
Deep neural network  feature extraction  image-based visual servoing  interaction matrix  pose error estimation  robotic assembly system  
Inductive Spatiotemporal Graph Convolutional Networks for Short-term Quantitative Precipitation Forecasting 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2022, 卷号: 0, 期号: 0, 页码: 0
作者:  Yajing, Wu;  Xuebing, Yang;  Yongqiang, Tang;  Chenyang, Zhang;  Guoping, Zhang;  Wensheng, Zhang
Adobe PDF(10052Kb)  |  收藏  |  浏览/下载：299/69  |  提交时间：2022/04/06
Quantitative precipitation forecasting  graph convolutional networks (GCN)  spatiotemporal model  radar-rain gauge data merging  
Trip Purposes Mining From Mobile Signaling Data 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 99, 期号: 99, 页码: 13
作者:  Li, Zhishuai;  Xiong, Gang;  Wei, Zebing;  Zhang, Yu;  Zheng, Meng;  Liu, Xiaoli;  Tarkoma, Sasu;  Huang, Min;  Lv, Yisheng;  Wu, Chuheng
Adobe PDF(3962Kb)  |  收藏  |  浏览/下载：400/74  |  提交时间：2022/01/27
Cellular networks  Trajectory  Semantics  Unsupervised learning  Supervised learning  Resource management  Public transportation  Trip purpose inference  cellular network data  latent Dirichlet allocation  travel behavior  big data  
Classifying Clear Air Echoes via Static and Motion Streams Network 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 卷号: 19, 页码: 5
作者:  Qu, Yuxun;  Zhang, Chenyang;  Yang, Xuebing;  Wu, Yajing;  Zhang, Wensheng;  Zhang, Guoping
Adobe PDF(2306Kb)  |  收藏  |  浏览/下载：308/47  |  提交时间：2022/01/27
Radar  Radar imaging  Atmospheric modeling  Training  Streaming media  Image segmentation  Image sequences  Classification of nonprecipitation echoes  clear air echoes  feature fusion  radar image segmentation  
Unsupervised Video Summarization via Relation-Aware Assignment Learning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 3203-3214
作者:  Gao, Junyu;  Yang, Xiaoshan;  Zhang, Yingying;  Xu, Changsheng
Adobe PDF(3649Kb)  |  收藏  |  浏览/下载：319/63  |  提交时间：2021/11/03
Feature extraction  Training  Optimization  Semantics  Recurrent neural networks  Task analysis  Graph neural network  unsupervised learning  video summarization  
Environment Perception Technologies for Power Transmission Line Inspection Robots 期刊论文
JOURNAL OF SENSORS, 2021, 卷号: 2021, 页码: 16
作者:  Chen, Minghao;  Tian, Yunong;  Xing, Shiyu;  Li, Zhishuo;  Li, En;  Liang, Zize;  Guo, Rui
Adobe PDF(2248Kb)  |  收藏  |  浏览/下载：127/0  |  提交时间：2021/06/07
Robot learning through observation via coarse-to-fine grained video summarization 期刊论文
APPLIED SOFT COMPUTING, 2021, 卷号: 99, 期号: /, 页码: 106913
作者:  Zhang, Yujia;  Li, Qianzhong;  Zhao, Xiaoguang;  Tan, Min
Adobe PDF(5989Kb)  |  收藏  |  浏览/下载：355/73  |  提交时间：2021/03/08
Robotic vision  Learning through observation  Coarse-to-fine video summarization