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Weakly Aligned Feature Fusion for Multimodal Object Detection 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Zhang, Lu;  Liu, Zhiyong;  Zhu, Xiangyu;  Song, Zhan;  Yang, Xu;  Lei, Zhen;  Qiao, Hong
Adobe PDF(19222Kb)  |  收藏  |  浏览/下载：219/0  |  提交时间：2022/01/27
Object detection  Feature extraction  Detectors  Robustness  Cameras  Automation  Training  Deep learning  feature fusion  multimodal object detection  pedestrian detection  
Extremely Lightweight Skeleton-Based Action Recognition With ShiftGCN plus 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 7333-7348
作者:  Cheng, Ke;  Zhang, Yifan;  He, Xiangyu;  Cheng, Jian;  Lu, Hanqing
Adobe PDF(3205Kb)  |  收藏  |  浏览/下载：268/14  |  提交时间：2021/11/03
Skeleton-based action recognition  graph convolutional network  lightweight network  shift network  
A Graph-to-Sequence Learning Framework for Summarizing Opinionated Texts 期刊论文
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2021, 卷号: 29, 期号: 1, 页码: 1650-1660
作者:  Wei, Penghui;  Zhao, Jiahao;  Mao, Wenji
Adobe PDF(1818Kb)  |  收藏  |  浏览/下载：195/42  |  提交时间：2021/06/15
Opinionated text summarization  
FII-CenterNet: An Anchor-Free Detector With Foreground Attention for Traffic Object Detection 期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 卷号: 70, 期号: 1, 页码: 121-132
作者:  Fan, Siqi;  Zhu, Fenghua;  Chen, Shichao;  Zhang, Hui;  Tian, Bin;  Lv, Yisheng;  Wang, Fei-Yue
Adobe PDF(7159Kb)  |  收藏  |  浏览/下载：254/37  |  提交时间：2021/03/29
Object detection  Anchor-free detector  Foreground region proposal  
Anomaly Detection Using Local Kernel Density Estimation and Context-Based Regression 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2020, 卷号: 32, 期号: 2, 页码: 218-233
作者:  Hu, Weiming;  Gao, Jun;  Li, Bing;  Wu, Ou;  Du, Junping;  Maybank, Stephen
收藏  |  浏览/下载：295/0  |  提交时间：2020/03/30
Anomaly detection  Kernel  Estimation  Saliency detection  Visualization  Data models  Computational modeling  Anomaly detection  local kernel density estimation  weighted neighborhood density  hierarchical context-based local kernel regression  
Caging a novel object using multi-task learning method 期刊论文
NEUROCOMPUTING, 2019, 卷号: 351, 页码: 146-155
作者:  Su, Jianhua;  Chen, Bin;  Qiao, Hong;  Liu, Zhi-yong
收藏  |  浏览/下载：298/0  |  提交时间：2019/07/11
Multi-task learning  Grasping  Kernel regression