Point Cloud Object Detection
Point Cloud Object Detection is a computational task in 3D computer vision that identifies and localizes instances of objects within a point cloud by assigning class labels and spatial bounding volumes to coherent groups of points.
532
Publications
56.9K
Citations
1.7K
Authors
488
Institutions
Publications per year
2017–2026
466
Parents
532
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Yin Zhou, Oncel Tuzel · 2018 · 4.6K citations
Multi-view 3D Object Detection Network for Autonomous Driving
Xiaozhi Chen, Huimin Ma, Ji Wan et al. · 2017 · 3.4K citations
SECOND: Sparsely Embedded Convolutional Detection
Yan Yan, Yuxing Mao, Bo Li · Sensors · 2018 · 3.2K citations · Full text
Deep Learning for 3D Point Clouds: A Survey
Yulan Guo, Hanyun Wang, Qingyong Hu et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2020 · 2.3K citations
1–5 of 532
1.7K
14
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13
h-index
European Organization for Nuclear Research, Switzerland
11 publications · 7.3K citations
11
h-index
9
h-index
9
h-index
1–5 of 1.7K
488
Chinese University of Hong Kong
Hong Kong, Hong Kong
19 h-index
54 publications
28.6K citations

Chinese Academy of Sciences
Beijing, China
14 h-index
46 publications
2.9K citations

Zhejiang University
Hangzhou, China
12 h-index
48 publications
3.7K citations

National University of Defense Technology
Changsha, China
12 h-index
41 publications
7.6K citations
Tsinghua University
Beijing, China
12 h-index
41 publications
3.6K citations
University of Chinese Academy of Sciences
Beijing, China
11 h-index
28 publications
727 citations
Baidu (China)
Beijing, China
11 h-index
38 publications
6.2K citations

University of Waterloo
Waterloo, Canada
11 h-index
24 publications
911 citations
1–8 of 488
Repository · 62 publications · 3.6K citations
29
h-index
18 publications · 1.4K citations
17
h-index
16 publications · 4K citations
15
h-index
Conference · 13 publications · 1.4K citations
13
h-index
11 publications · 316 citations
12
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1–5