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Instance GNN: A Learning Framework for Joint Symbol Segmentation and Recognition in Online Handwritten Diagrams 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 2580-2594
作者:  Yun, Xiao-Long;  Zhang, Yan-Ming;  Yin, Fei;  Liu, Cheng-Lin
Adobe PDF(3236Kb)  |  收藏  |  浏览/下载：336/4  |  提交时间：2022/07/25
Handwriting recognition  Task analysis  Grammar  Semantics  Image segmentation  Trajectory  Text recognition  Online handwritten diagram recognition  symbol segmentation  symbol recognition  freehand sketch analysis  graph neural networks  
The Model May Fit You: User-Generalized Cross-Modal Retrieval 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 24, 页码: 2998-3012
作者:  Ma, Xinhong;  Yang, Xiaoshan;  Gao, Junyu;  Xu, Changsheng
Adobe PDF(6549Kb)  |  收藏  |  浏览/下载：291/57  |  提交时间：2022/06/17
cross-modal retrieval  domain generalization  meta-learning  
Single-Image Specular Highlight Removal via Real-World Dataset Construction 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 页码: 12
作者:  Wu ZQ(吴仲琦);  Zhuang CQ(庄传青);  Shi J(石剑);  Guo JW(郭建伟);  Xiao J(肖俊);  Zhang XP(张晓鹏);  Yan DM(严冬明)
Adobe PDF(49307Kb)  |  收藏  |  浏览/下载：271/104  |  提交时间：2022/06/15
Specular highlight removal, PSD-Dataset, Deep learning  
Joint Learning in the Spatio-Temporal and Frequency Domains for Skeleton-Based Action Recognition 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 9, 页码: 2207-2220
作者:  Guyue, Hu;  Bo, Cui;  Shan, Yu
Adobe PDF(4803Kb)  |  收藏  |  浏览/下载：341/68  |  提交时间：2020/09/28
Skeleton-based Action Recognition  Frequency Attention  Synchronous Local and Non-local Learning  Soft-margin Focal Loss  Pesudo Multi-task Learning  
Enhancing Image Watermarking With Adaptive Embedding Parameter and PSNR Guarantee 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 10, 页码: 2447-2460
作者:  Huang, Ying;  Niu, Baoning;  Guan, Hu;  Zhang, Shuwu
浏览  |  Adobe PDF(2733Kb)  |  收藏  |  浏览/下载：422/94  |  提交时间：2019/12/16
Adaptive watermarking  differential quantization  image watermarking  spread spectrum  
Iterative Manifold Embedding Layer Learned by Incomplete Data for Large-Scale Image Retrieval 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 6, 页码: 1551-1562
作者:  Xu, Jian;  Wang, Chunheng;  Qi, Chengzuo;  Shi, Cunzhao;  Xiao, Baihua
浏览  |  Adobe PDF(4727Kb)  |  收藏  |  浏览/下载：394/86  |  提交时间：2019/07/11
Iterative manifold embedding layer  image retrieval  incomplete data  
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：465/117  |  提交时间：2019/05/15
Semantic guided module  action recognition  cross domain  3D convolution  attention model  
Three-Dimensional Attention-Based Deep Ranking Model for Video Highlight Detection 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2018, 卷号: 20, 期号: 10, 页码: 2693-2705
作者:  Jiao,Yifan;  Li,Zhetao;  Huang,Shucheng;  Yang,Xiaoshan;  Liu,Bin;  Zhang,Tianzhu
浏览  |  Adobe PDF(4692Kb)  |  收藏  |  浏览/下载：554/192  |  提交时间：2018/10/10
Video Highlight Detection  Attention Model  Deep Ranking  
Multi-Perspective Cost-Sensitive Context-Aware Multi-Instance Sparse Coding and Its Application to Sensitive Video Recognition 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2016, 卷号: 18, 期号: 1, 页码: 76-89
作者:  Hu, Weiming;  Ding, Xinmiao;  Li, Bing;  Wang, Jianchao;  Gao, Yan;  Wang, Fangshi;  Maybank, Stephen
Adobe PDF(2469Kb)  |  收藏  |  浏览/下载：449/102  |  提交时间：2016/03/19
Cost-sensitive Context-aware Multi-instance Sparse Coding (Mi-sc)  Horror Video Recognition  Multi-perspective Multi-instance Joint Sparse Coding (Mi-j-sc)  Video Emotional Feature Extraction  Violent Video Recognition  
A multimodal scheme for program segmentation and representation in broadcast video streams 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2008, 卷号: 10, 期号: 3, 页码: 393-408
作者:  Wang, Jinqiao;  Duan, Lingyu;  Liu, Qingshan;  Lu, Hanqing;  Jin, Jesse S.
浏览  |  Adobe PDF(2319Kb)  |  收藏  |  浏览/下载：347/117  |  提交时间：2015/11/08
Broadcast Video  Latent Semantic Analysis  Multimodal Fusion  Tv Program Segmentation