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| Parallel Spiking Unit for Efficient Training of Spiking Neural Networks 会议论文 , YOKOHAMA, 30 June - 5 July 2024 作者: Yang Li; Yinqian Sun; Xiang He; Yiting Dong; Dongcheng Zhao; Yi Zeng Adobe PDF(959Kb)  |  收藏  |  浏览/下载:20/3  |  提交时间:2024/05/31 |
| A Hybrid Admittance Control Algorithm for Automatic Robotic Cranium-Milling 会议论文 , Yokohama, Japan, May 13th to 17th, 2024 作者: Qian C(钱琛); Li Z(李桢); Ye Q(叶强); Ge PC(葛培聪); Zhao JZ(赵继宗); Bian GB(边桂彬) Adobe PDF(1806Kb)  |  收藏  |  浏览/下载:30/4  |  提交时间:2024/05/28 |
| A Flexible Quality Inspection Robot System for Multi-type Surface Defects 会议论文 , 中国,昆明, 2022-8-12 作者: Li Mingwei; Shang Xiuqin; Zhou Qianyu; Shi Yali; Zhang Zhengtao Adobe PDF(910Kb)  |  收藏  |  浏览/下载:159/42  |  提交时间:2023/06/20 surface defect detection robot system 3-dementional surface |
| A Transformer-based Approach for Identifying Target-oriented Opinions from Travel Reviews 会议论文 , Padua, Italy, 2022-07 作者: Haoda Qian; Zaichuan Tang; Yajun Ren; Qiudan Li; Daniel Zeng Adobe PDF(881Kb)  |  收藏  |  浏览/下载:340/125  |  提交时间:2022/06/14 |
| A BERT-based Heterogeneous Graph Convolution Approach for Mining Organization-Related Topics 会议论文 , Padua, Italy, 2022-07 作者: Haoda Qian; Minjie Yuan; Qiudan Li; Daniel Zeng Adobe PDF(646Kb)  |  收藏  |  浏览/下载:307/95  |  提交时间:2022/06/14 |
| IBN-STR: A Robust Text Recognizer for Irregular Text in Natural Scenes 会议论文 , MiLan, Italy, 2021-01-10 作者: Li XQ(李小倩); Liu J(刘杰); Zhang GX(张桂煊); Zhang SW(张树武) 浏览  |  Adobe PDF(450Kb)  |  收藏  |  浏览/下载:218/68  |  提交时间:2020/10/23 Text Recognition |
| Comparison of 3D Object Detection Based on LiDAR Point Cloud 会议论文 , Dali, China, 2019-5-24 作者: Li, Haoran; Zhou, Xiaolei; Chen, Yaran; Zhang, Qichao; Zhao, Dongbin; Qian, Dianwei 浏览  |  Adobe PDF(296Kb)  |  收藏  |  浏览/下载:221/93  |  提交时间:2020/09/02 |
| Image Annotation through Adaptive Dependency Fusion 会议论文 , 苏州, 2018-12 作者: Wang Fangxin(王方心); Liu Jie; Zhang Shuwu; Zhang Guixuan; Zheng Yang; Li Xiaoqian 浏览  |  Adobe PDF(503Kb)  |  收藏  |  浏览/下载:405/96  |  提交时间:2019/10/08 Image Annotation Multiple Dependencies End-to-end Prediction Path |