| Title | MO-Transformer: A Transformer-Based Multi-Object Point Cloud Reconstruction Network |
| Author | |
| DOI | |
| Publication Years | 2022
|
| ISSN | 2153-0858
|
| ISBN | 978-1-6654-7928-8
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| Source Title | |
| Pages | 1024-1030
|
| Conference Date | 23-27 Oct. 2022
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| Conference Place | Kyoto, Japan
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| Keywords | |
| SUSTech Authorship | Others
|
| URL | [Source Record] |
| Data Source | IEEE
|
| PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9981837 |
| Citation statistics |
Cited Times [WOS]:0
|
| Document Type | Conference paper |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/420610 |
| Department | Department of Mechanical and Energy Engineering |
| Affiliation | 1.School of Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen, China 2.Department of Mechanical and Energy Engineering, Southern University of Science and Technology in Shenzhen, China 3.Shenzhen Research Institute of The Chinese University of Hong Kong, Shenzhen, China |
| Recommended Citation GB/T 7714 |
Erli Lyu,Zhengyan Zhang,Wei Liu,et al. MO-Transformer: A Transformer-Based Multi-Object Point Cloud Reconstruction Network[C],2022:1024-1030.
|
| Files in This Item: | There are no files associated with this item. | |||||
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