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Towards Corruption-Agnostic Robust Domain Adaptation 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2022, 卷号: 18, 期号: 4, 页码: 16
作者:  Xu, Yifan;  Sheng, Kekai;  Dong, Weiming;  Wu, Baoyuan;  Xu, Changsheng;  Hu, Bao-Gang
Adobe PDF(2116Kb)  |  收藏  |  浏览/下载：394/83  |  提交时间：2022/06/10
Domain adaptation  corruption robustness  transfer learning  
Structure-Aware Deep Learning for Product Image Classification 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2019, 卷号: 15, 期号: 1, 页码: 20
作者:  Chen, Zhineng;  Al, Shanshan;  Jia, Caiyan
浏览  |  Adobe PDF(7349Kb)  |  收藏  |  浏览/下载：263/17  |  提交时间：2019/07/12
Image classification  category hierarchy  convolutional neural network  multi-class regression  multi-task learning  
A Unified Framework for Multi-Modal Isolated Gesture Recognition 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2018, 卷号: 14, 期号: 1, 页码: 16
作者:  Duan, Jiali;  Wan, Jun;  Zhou, Shuai;  Guo, Xiaoyuan;  Li, Stan Z.
浏览  |  Adobe PDF(6349Kb)  |  收藏  |  浏览/下载：517/204  |  提交时间：2017/09/13
Multi-modal  consensus-voting  3D convolution  isolated gesture recognition  
DeepSearch: A Fast Image Search Framework for Mobile Devices 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2018, 卷号: 14, 期号: 1, 页码: 6
作者:  Wang, Peisong;  Hu, Qinghao;  Fang, Zhiwei;  Zhao, Chaoyang;  Cheng, Jian
浏览  |  Adobe PDF(1203Kb)  |  收藏  |  浏览/下载：516/182  |  提交时间：2018/05/05
Convolutional Neural Networks  Acceleration  Image Retrieval  Tensor Decomposition  
Semantic Feature Mining for Video Event Understanding 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2016, 卷号: 12, 期号: 4, 页码: 55:1-55:22
作者:  Yang, Xiaoshan;  Zhang, Tianzhu;  Xu, Changsheng
浏览  |  Adobe PDF(910Kb)  |  收藏  |  浏览/下载：476/156  |  提交时间：2016/12/26
Video Recognition  Event  
A Unified Video Recommendation by Cross-Network User Modeling 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2016, 卷号: 12, 期号: 4, 页码: 1-24
作者:  Yan, Ming;  Sang, Jitao;  Xu, Changsheng;  Hossain, M. Shamim
浏览  |  Adobe PDF(835Kb)  |  收藏  |  浏览/下载：429/171  |  提交时间：2016/12/26
Algorithms  Experimentation  Performance  Personalized Video Recommendation  Cross-network Collaboration  User Modeling  
Boosted Multifeature Learning for Cross-Domain Transfer 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2015, 卷号: 11, 期号: 3, 页码: 35:1-18
作者:  Yang, Xiaoshan;  Zhang, Tianzhu;  Xu, Changsheng;  Yang, Ming-Hsuan;  Xu CS(徐常胜)
浏览  |  Adobe PDF(1139Kb)  |  收藏  |  浏览/下载：341/95  |  提交时间：2015/09/18
Algorithms  Experimentation  Performance  Domain Adaptation  Multifeature  Boosting  Denoising Auto-encoder  
Twitter is Faster: Personalized Time-Aware Video Recommendation from Twitter to YouTube 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2014, 卷号: 11, 期号: 2
作者:  Deng, Zhengyu;  Yan, Ming;  Sang, Jitao;  Xu, Changsheng
Adobe PDF(1287Kb)  |  收藏  |  浏览/下载：336/91  |  提交时间：2015/08/12
Algorithms  Experimentation  Performance  Short-term Interest  Personalization  Video Recommendation  Time-aware  Cross-platform  
Social Event Classification via Boosted Multimodal Supervised Latent Dirichlet Allocation 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2014, 卷号: 11, 期号: 2, 页码: 1-22
作者:  Shengsheng Qian;  Tianzhu Zhang;  Changsheng Xu;  M. Shamim Hossain
浏览  |  Adobe PDF(6388Kb)  |  收藏  |  浏览/下载：316/97  |  提交时间：2015/08/12
Algorithms  Experimentation  Performance  Social Event Classification  Multimodality  Supervised Lda  Adaboost  Social Media  
Exploiting Content Relevance and Social Relevance for Personalized Ad Recommendation on Internet TV 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2013, 卷号: 9, 期号: 4, 页码: 1-23
作者:  Wang, Bo;  Wang, Jinqiao;  Lu, Hanqing
浏览  |  Adobe PDF(9960Kb)  |  收藏  |  浏览/下载：322/112  |  提交时间：2015/08/12
Performance  Measurement  Experimentation  Personalized Recommendation  Video Alignment  Video Advertising  Internet Tv