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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  
Weakly-Supervised Video Object Grounding Via Learning Uni-Modal Associations 期刊论文
IEEE Transactions on Multimedia, 2022, 卷号: 25, 页码: 1-12
作者:  Wang, Wei;  Gao, Junyu;  Xu, Changsheng
Adobe PDF(5406Kb)  |  收藏  |  浏览/下载：99/29  |  提交时间：2023/04/25
Visualization  Grounding  Task analysis  Prototypes  Annotations  Uncertainty  Proposals  Cross-modal retrieval  weakly-supervised learning  video object grounding  uni-modal association  
An Orthogonal Subspace Decomposition Method for Cross-Modal Retrieval 期刊论文
IEEE INTELLIGENT SYSTEMS, 2022, 卷号: 37, 期号: 3, 页码: 45-53
作者:  Zeng, Zhixiong;  Xu, Nan;  Mao, Wenji;  Zeng, Daniel
Adobe PDF(2545Kb)  |  收藏  |  浏览/下载：258/39  |  提交时间：2022/09/19
Semantics  Representation learning  Task analysis  Matrix decomposition  Automation  Interference  Intelligent systems  Cross-modal Retrieval  Representation Learning  Orthogonal Decomposition  
Transformers in computational visual media: A survey 期刊论文
Computational Visual Media, 2021, 卷号: 8, 期号: 1, 页码: 33-62
作者:  Xu,Yifan;  Wei,Huapeng;  Lin,Minxuan;  Deng,Yingying;  Sheng,Kekai;  Zhang,Mengdan;  Tang,Fan;  Dong,Weiming;  Huang,Feiyue;  Xu,Changsheng
Adobe PDF(5366Kb)  |  收藏  |  浏览/下载：280/35  |  提交时间：2021/12/28
visual transformer  computational visual media (CVM)  high-level vision  low-level vision  image generation  multi-modal learning  
Learning Coarse-to-Fine Graph Neural Networks for Video-Text Retrieval 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 2386-2397
作者:  Wang, Wei;  Gao, Junyu;  Yang, Xiaoshan;  Xu, Changsheng
Adobe PDF(2165Kb)  |  收藏  |  浏览/下载：321/44  |  提交时间：2021/11/02
Feature extraction  Encoding  Task analysis  Semantics  Data models  Cognition  Focusing  Video-text retrieval  graph neural network  coarse-to-fine strategy  
Nocal-Siam: Refining Visual Features and Response With Advanced Non-Local Blocks for Real-Time Siamese Tracking 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 2656-2668
作者:  Tan, Huibin;  Zhang, Xiang;  Zhang, Zhipeng;  Lan, Long;  Zhang, Wenju;  Luo, Zhigang
Adobe PDF(2898Kb)  |  收藏  |  浏览/下载：167/40  |  提交时间：2021/03/29
Target tracking  Visualization  Feature extraction  Real-time systems  Oceans  Convolution  Task analysis  Siamese trackers  non-local attention  supervisedly attentive  
Extracting Effective Image Attributes with Refined Universal Detection 期刊论文
SENSORS, 2021, 卷号: 21, 期号: 1, 页码: 16
作者:  Yu, Qiang;  Xiao, Xinyu;  Zhang, Chunxia;  Song, Lifei;  Pan, Chunhong
Adobe PDF(2391Kb)  |  收藏  |  浏览/下载：317/55  |  提交时间：2021/03/01
attribute extraction  Refined Universal Detection  word tree  image captioning  
Multi-Level Correlation Adversarial Hashing for Cross-Modal Retrieval 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 12, 页码: 3101-3114
作者:  Ma, Xinhong;  Zhang, Tianzhu;  Xu, Changsheng
Adobe PDF(4322Kb)  |  收藏  |  浏览/下载：291/53  |  提交时间：2021/03/01
Semantics  Correlation  Aircraft propulsion  Deep learning  Bridges  Aircraft  Task analysis  Cross-modal retrieval  adversarial hashing  multi-level correlation  
Knowledge-aware Attentive Wasserstein Adversarial Dialogue Response Generation 期刊论文
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2020, 卷号: 11, 期号: 4, 页码: 20
作者:  Zhang, Yingying;  Fang, Quan;  Qian, Shengsheng;  Xu, Changsheng
Adobe PDF(1626Kb)  |  收藏  |  浏览/下载：312/55  |  提交时间：2021/01/06
Dialogue system  co-attention  adversarial learning  external knowledge  
Weakly Semantic Guided Action Recognition 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 10, 页码: 2504-2517
作者:  Yu, Tingzhao;  Wang, Lingfeng;  Da, Cheng;  Gu, Huxiang;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(18774Kb)  |  收藏  |  浏览/下载：434/112  |  提交时间：2019/05/15
Semantic guided module  action recognition  cross domain  3D convolution  attention model