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Toward Accurate Pixelwise Object Tracking via Attention Retrieval 期刊论文
IEEE Transactions on Image Processing, 2021, 卷号: 30, 页码: 8553-8566
作者:  Zhang, Zhipeng;  Liu, Yufan;  Li, Bin;  Hu, Weiming;  Peng, Houwen
Adobe PDF(3636Kb)  |  收藏  |  浏览/下载：181/50  |  提交时间：2022/06/14
Multi-object tracking with hard-soft attention network and group-based cost minimization 期刊论文
NEUROCOMPUTING, 2021, 卷号: 447, 页码: 80-91
作者:  Liu, Yating;  Li, Xuesong;  Bai, Tianxiang;  Wang, Kunfeng;  Wang, Fei-Yue
Adobe PDF(2352Kb)  |  收藏  |  浏览/下载：326/81  |  提交时间：2021/08/15
Multi-object tracking  Attention mechanism  Unary and binary costs  Appearance-motion affinity  
Improving Domain-adaptive Person Re-identification by Dual-alignment Learning with Camera-aware Image Generation 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2021, 卷号: 31, 期号: 11, 页码: 4334 - 4346
作者:  Chenyang Zhang;  Yongqiang Tang;  Zhizhong Zhang;  Ding Li;  Xuebing Yang;  Wensheng Zhang
Adobe PDF(2538Kb)  |  收藏  |  浏览/下载：341/83  |  提交时间：2021/06/23
Person Re-identification  Convolutional Neural Networks  Generative Adversarial Networks  Mutual Information  
Bottom-Up Foreground-Aware Feature Fusion for Practical Person Search 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Yang, Wenjie;  Huang, Houjing;  Chen, Xiaotang;  Huang, Kaiqi
Adobe PDF(38609Kb)  |  收藏  |  浏览/下载：206/54  |  提交时间：2021/06/21
Person Search, Person Re-Identification, Pedestrian Detection, Feature Learning, Attention  
Richly Activated Graph Convolutional Network for Robust Skeleton-Based Action Recognition 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 5, 页码: 1915-1925
作者:  Song, Yi-Fan;  Zhang, Zhang;  Shan, Caifeng;  Wang, Liang
Adobe PDF(3381Kb)  |  收藏  |  浏览/下载：378/57  |  提交时间：2021/06/15
Skeleton  Robustness  Noise measurement  Three-dimensional displays  Degradation  Standards  Feature extraction  Action recognition  skeleton  activation map  graph convolutional network  occlusion  jittering