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Human-centric Scene Understanding for 3D Large-scale Scenarios | |
2023-10-06 | |
会议录名称 | 2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV)
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ISSN | 1550-5499 |
页码 | 20292-20302 |
发表状态 | 已发表 |
DOI | 10.1109/ICCV51070.2023.01861 |
摘要 | Human-centric scene understanding is significant for real-world applications, but it is extremely challenging due to the existence of diverse human poses and actions, complex human-environment interactions, severe occlusions in crowds, etc. In this paper, we present a large-scale multi-modal dataset for human-centric scene under-standing, dubbed HuCenLife, which is collected in diverse daily-life scenarios with rich and fine-grained annotations. Our HuCenLife can benefit many 3D perception tasks, such as segmentation, detection, action recognition, etc., and we also provide benchmarks for these tasks to facilitate related research. In addition, we design novel modules for LiDAR-based segmentation and action recognition, which are more applicable for large-scale human-centric scenarios and achieve state-of-the-art performance. The dataset and code can be found at https://github.com/4DVLab/HuCenLife.git. © 2023 IEEE. |
关键词 | Computer vision Three-dimensional displays Codes Annotations Surveillance Benchmark testing Assistive robots |
会议名称 | 2023 IEEE/CVF International Conference on Computer Vision, ICCV 2023 |
会议地点 | Paris, France |
会议日期 | 1-6 Oct. 2023 |
URL | 查看原文 |
收录类别 | EI |
语种 | 英语 |
出版者 | Institute of Electrical and Electronics Engineers Inc. |
EI入藏号 | 20241215793203 |
原始文献类型 | Conference article (CA) |
来源库 | IEEE |
引用统计 | 正在获取...
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文献类型 | 会议论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/354923 |
专题 | 信息科学与技术学院_硕士生 信息科学与技术学院_PI研究组_何旭明组 信息科学与技术学院_PI研究组_虞晶怡组 信息科学与技术学院_博士生 信息科学与技术学院_PI研究组_马月昕 |
共同第一作者 | Peishan Cong; Yichen Yao |
作者单位 | 1.ShanghaiTech University 2.The University of Hong Kong 3.Shanghai AI Laboratory 4.The Chinese University of Hong Kong |
第一作者单位 | 上海科技大学 |
第一作者的第一单位 | 上海科技大学 |
推荐引用方式 GB/T 7714 | Yiteng Xu,Peishan Cong,Yichen Yao,et al. Human-centric Scene Understanding for 3D Large-scale Scenarios[C]:Institute of Electrical and Electronics Engineers Inc.,2023:20292-20302. |
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