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Weakly-Supervised Video Object Grounding Via Learning Uni-Modal Associations 期刊论文
IEEE Transactions on Multimedia, 2022, 卷号: 25, 页码: 1-12
作者:  Wang, Wei;  Gao, Junyu;  Xu, Changsheng
Adobe PDF(5406Kb)  |  收藏  |  浏览/下载：145/43  |  提交时间：2023/04/25
Visualization  Grounding  Task analysis  Prototypes  Annotations  Uncertainty  Proposals  Cross-modal retrieval  weakly-supervised learning  video object grounding  uni-modal association  
Discrete soft actor-critic with auto-encoder on vascular robotic system 期刊论文
ROBOTICA, 2022, 页码: 12
作者:  Li, Hao;  Zhou, Xiao-Hu;  Xie, Xiao-Liang;  Liu, Shi-Qi;  Gui, Mei-Jiang;  Xiang, Tian-Yu;  Wang, Jin-Li;  Hou, Zeng-Guang
Adobe PDF(715Kb)  |  收藏  |  浏览/下载：280/7  |  提交时间：2023/01/09
surgical robots  vascular robotic system  automation  reinforcement learning  deep neural network  
Holographic Feature Learning of Egocentric-Exocentric Videos for Multi-Domain Action Recognition 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 2273-2286
作者:  Huang, Yi;  Yang, Xiaoshan;  Gao, Junyun;  Xu, Changsheng
Adobe PDF(2409Kb)  |  收藏  |  浏览/下载：387/76  |  提交时间：2022/07/25
Videos  Feature extraction  Visualization  Task analysis  Computational modeling  Target recognition  Prototypes  Egocentric videos  exocentric videos  holographic feature  multi-domain  action recognition  
ERP prototypical matching net: a meta-learning method for zero-calibration RSVP-based image retrieval 期刊论文
JOURNAL OF NEURAL ENGINEERING, 2022, 卷号: 19, 期号: 2, 页码: 17
作者:  Wei, Wei;  Qiu, Shuang;  Zhang, Yukun;  Mao, Jiayu;  He, Huiguang
收藏  |  浏览/下载：227/0  |  提交时间：2022/06/10
EEG  RSVP-based BCI  zero-calibration  meta-learning  prototypical matching  
Real-Time Digital Video Stabilization of Bioinspired Robotic Fish Using Estimation-and-Prediction Framework 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2022, 页码: 12
作者:  Meng, Yan;  Wu, Zhengxing;  Zhang, Pengfei;  Wang, Jian;  Yu, Junzhi
Adobe PDF(3860Kb)  |  收藏  |  浏览/下载：384/75  |  提交时间：2022/06/06
Bioinspired robot  digital video stabilization  estimation-and-prediction framework  robotic fish  vision system