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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：42/13  |  提交时间：2024/02/22
Generative adversarial networks  image translation  facial attribute manipulation  
A CNN-Transformer Hybrid Recognition Approach for sEMG-Based Dynamic Gesture Prediction 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 16
作者:  Liu, Yanhong;  Li, Xingyu;  Yang, Lei;  Bian, Guibin;  Yu, Hongnian
收藏  |  浏览/下载：124/0  |  提交时间：2023/11/17
Feature extraction  Gesture recognition  Task analysis  Transformers  Time-frequency analysis  Convolution  Data mining  Convolutional neural network (CNN)  feature fusion  hand gesture recognition  surface electromyography (sEMG) sensor  transformer  
DCAT: Dual Cross-Attention-Based Transformer for Change Detection 期刊论文
Remote Sensing, 2023, 卷号: 15, 期号: 9, 页码: 2395
作者:  Yuan Zhou;  Chunlei Huo;  Jiahang Zhu;  Leigang Huo;  Chunhong Pan
Adobe PDF(47919Kb)  |  收藏  |  浏览/下载：135/19  |  提交时间：2023/06/16
change detection  transformer  dual cross-attention  remote sensing  
Anchor-free temporal action localization via Progressive Boundary-aware Boosting 期刊论文
Information Processing & Management, 2022, 卷号: 60, 期号: 1, 页码: 103141
作者:  Tang, Yepeng;  Wang, Weining;  Yang, Yanwu;  Zhang, Chunjie;  Liu, Jing
Adobe PDF(1559Kb)  |  收藏  |  浏览/下载：121/43  |  提交时间：2023/05/03
Temporal action localization  Anchor-free  Video understanding  
Automatic polyp segmentation via image-level and surrounding-level context fusion deep neural network 期刊论文
Engineering Applications of Artificial Intelligence, 2023, 卷号: 123, 期号: 2023, 页码: 106168
作者:  Wang, Changwei;  Xu, Rongtao;  Xu, Shibiao;  Meng, Weiliang;  Zhang, Xiaopeng
Adobe PDF(2131Kb)  |  收藏  |  浏览/下载：197/42  |  提交时间：2023/04/27
Context information fusion  Colonoscopy  Polyp segmentation  Image-level and surrounding-level context  
D-TNet: Category-Awareness Based Difference-Threshold Alternative Learning Network for Remote Sensing Image Change Detection 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 1-16
作者:  Wan, Ling;  Tian, Ye;  Kang, Wenchao;  Ma, Lei
Adobe PDF(8963Kb)  |  收藏  |  浏览/下载：90/27  |  提交时间：2023/03/20
Category-awareness  change detection  optical remote sensing image  threshold learning  
Adaptable Global Network for Whole-Brain Segmentation with Symmetry Consistency Loss 期刊论文
COGNITIVE COMPUTATION, 2022, 页码: 14
作者:  Zhao, Yuan-Xing;  Zhang, Yan-Ming;  Song, Ming;  Liu, Cheng-Lin
Adobe PDF(2496Kb)  |  收藏  |  浏览/下载：281/75  |  提交时间：2022/07/25
Whole-brain segmentation  Adaptable global network  Semi-supervised learning  Symmetry consistency loss  
An Automatic Deep Segmentation Network for Pixel-Level Welding Defect Detection 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 10
作者:  Yang, Lei;  Song, Shouan;  Fan, Junfeng;  Huo, Benyan;  Li, En;  Liu, Yanhong
收藏  |  浏览/下载：189/0  |  提交时间：2022/06/06
Welding  Feature extraction  Image segmentation  Inspection  X-ray imaging  Manufacturing  Task analysis  Attention model  convolutional long short-term memory (ConvLSTM)  defect detection  feature fusion  hybrid loss  image segmentation  
MCFINet: Multidepth Convolution Network With Shallow-Deep Feature Integration for Semantic Labeling in Remote Sensing Images 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021, 页码: 5
作者:  Wang, Dongji;  Dong, Qiulei
收藏  |  浏览/下载：125/0  |  提交时间：2022/01/27
Labeling  Convolution  Semantics  Feature extraction  Remote sensing  Kernel  Fuses  Convolutional neural networks  multiscale contexts  remote sensing images  semantic labeling  
Decoupled Representation Learning for Character Glyph Synthesis 期刊论文
IEEE Transactions on Multimedia, 2021, 卷号: 2021, 期号: 2021, 页码: 1-13
作者:  Xiyan Liu;  Gaofeng Meng;  Jianlong Chang;  Ruiguang Hu;  Shiming Xiang;  Chunhong Pan
Adobe PDF(4588Kb)  |  收藏  |  浏览/下载：183/48  |  提交时间：2022/01/24
Character glyph synthesis  Decoupled representation  generative adversarial networks