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CASIA OpenIR
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RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation 会议论文
, New York, 2020-2
作者:  Wang, Shaoru;  Gong, Yongchao;  Xing, Junliang;  Huang, Lichao;  Huang, Chang;  Hu, Weiming
Adobe PDF(1860Kb)  |  收藏  |  浏览/下载：114/24  |  提交时间：2023/09/20
目标检测  实例分割  
Object Relational Graph with Teacher-Recommended Learning for Video Captioning 会议论文
2020, 线上, 2020.6.14-19
作者:  Zhang,Ziqi;  Shi,Yaya;  Yuan,Chunfeng;  Li,Bing;  Wang,Peijin;  Hu,Weiming;  Zha,Zhengjun
Adobe PDF(1547Kb)  |  收藏  |  浏览/下载：217/77  |  提交时间：2022/06/16
Ocean: Object-aware anchor-free tracking 会议论文
, Glasgow, UK, 2020-8
作者:  Zhang, Zhipeng;  Peng, Houwen;  Fu, Jianlong;  Li, Bing;  Hu, Weiming
Adobe PDF(1514Kb)  |  收藏  |  浏览/下载：116/26  |  提交时间：2022/06/14
Distractor-aware discrimination learning for online multiple object tracking 期刊论文
PATTERN RECOGNITION, 2020, 期号: 107, 页码: 10
作者:  Zhou, Zongwei;  Luo, Wenhan;  Wang, Qiang;  Xing, Junliang;  Hu, Weiming
Adobe PDF(840Kb)  |  收藏  |  浏览/下载：421/118  |  提交时间：2020/08/31
Multi-object tracking  Distractor-aware discrimination learning  Relational attention learning  
Graph convolutional network with structure pooling and joint-wise channel attention for action recognition 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 103, 页码: 12
作者:  Chen, Yuxin;  Ma, Gaoqun;  Yuan, Chunfeng;  Li, Bing;  Zhang, Hui;  Wang, Fangshi;  Hu, Weiming
Adobe PDF(2455Kb)  |  收藏  |  浏览/下载：282/3  |  提交时间：2020/06/22
Graph convolutional network  Structure graph pooling  Joint-wise channel attention  
Tracking-by-Fusion via Gaussian Process Regression Extended to Transfer Learning 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 939-955
作者:  Gao, Jin;  Wang, Qiang;  Xing, Junliang;  Ling, Haibin;  Hu, Weiming;  Maybank, Stephen
Adobe PDF(4458Kb)  |  收藏  |  浏览/下载：322/9  |  提交时间：2020/06/02
Task analysis  Correlation  Target tracking  Probability distribution  Visualization  Collaboration  Visual tracking  Gaussian processes  correlation filters  transfer learning  tracking-by-fusion