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Elsevier DOI
1306
Airborne LiDAR; Filtering; Progressive TIN densification;
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Segmentation
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1812
3D point cloud over-segmentation, 3D point cloud segmentation,
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IEEE DOI
2005
Feature extraction, Convolution,
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IEEE DOI
2011
Machine learning, Feature extraction,
Convolution, Laser modes, Shape, Fitting, 3-D point cloud,
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SPLetters(27), 2020, pp. 1655-1659.
IEEE DOI
1806
Tensile stress, Frequency estimation,
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BibRef
Feng, M.T.[Ming-Tao],
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Lei, H.[Huan],
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SegGCN: Efficient 3D Point Cloud Segmentation With Fuzzy Spherical
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CVPR20(11608-11617)
IEEE DOI
2008
BibRef
Earlier:
Octree Guided CNN With Spherical Kernels for 3D Point Clouds,
CVPR19(9623-9632).
IEEE DOI
2002
Kernel, Convolution,
Convolutional codes, Integrated circuits, Robustness, Computer architecture
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Hsu, P.H.[Pai-Hui],
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Li, X.[Xiaohan],
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Depth segmentation in real-world scenes based on U-V disparity
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Depth scene segmentation, U-V disparity map,
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IEEE DOI
2012
Clustering algorithms, Clustering methods, Transform coding,
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Tian, Y.F.[Yi-Fei],
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Leichter, A.,
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Feature-Extraction from All-scale Neighborhoods with Applications To
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ISPRS20(B2:263-270).
DOI Link
2012
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Deep Fusionnet for Point Cloud Semantic Segmentation,
ECCV20(XXIV:644-663).
Springer DOI
2012
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Learning and Memorizing Representative Prototypes for 3d Point Cloud
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ECCV20(XVIII:564-580).
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Self-prediction for Joint Instance and Semantic Segmentation of Point
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ECCV20(XXII:187-204).
Springer DOI
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Efficient Outdoor 3d Point Cloud Semantic Segmentation for Critical
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ECCV20(XXVII:499-514).
Springer DOI
2011
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Li, G.Y.[Gong-Yang],
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Cross-modal Weighting Network for RGB-D Salient Object Detection,
ECCV20(XVII:665-681).
Springer DOI
2011
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ICIP20(2755-2759)
IEEE DOI
2011
Task analysis, Semantics, Decoding,
Feature extraction, Context modeling, Training, point cloud,
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Weakly Supervised Semantic Point Cloud Segmentation: Towards 10x
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CVPR20(13703-13712)
IEEE DOI
2008
Task analysis, Image color analysis,
Training, Shape, Semantics, Labeling
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Krispel, G.,
Opitz, M.,
Waltner, G.,
Possegger, H.,
Bischof, H.,
FuseSeg: LiDAR Point Cloud Segmentation Fusing Multi-Modal Data,
WACV20(1863-1872)
IEEE DOI
2006
Laser radar, Task analysis, Sensors,
Laser beams, Fuses, Image segmentation
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IEEE DOI
2002
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Adam, A.,
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A Semantic 3d Point Cloud Segmentation Approach Based On Optimal View
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LC3D19(9-14).
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1912
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Barrile, V.,
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Point Cloud Segmentation Using Image Processing Techniques For
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GEORES19(187-193).
DOI Link
1912
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Hu, Q.Y.[Qing-Yong],
Yang, B.[Bo],
Xie, L.H.[Lin-Hai],
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Guo, Y.L.[Yu-Lan],
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Markham, A.[Andrew],
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point
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CVPR20(11105-11114)
IEEE DOI
2008
Semantics, Feature extraction,
Task analysis, Encoding, Computer architecture, Benchmark testing
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Ma, Y.X.[Yan-Xin],
Guo, Y.L.[Yu-Lan],
Lei, Y.J.[Yin-Jie],
Lu, M.[Min],
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3DMAX-Net: A Multi-Scale Spatial Contextual Network for 3D Point
Cloud Semantic Segmentation,
ICPR18(1560-1566)
IEEE DOI
1812
Feature extraction,
Semantics, Labeling, Neural networks, Task analysis
BibRef
Landrieu, L.,
Simonovsky, M.,
Large-Scale Point Cloud Semantic Segmentation with Superpoint Graphs,
CVPR18(4558-4567)
IEEE DOI
1812
Shape, Semantics, Image segmentation,
Image edge detection, Pipelines
BibRef
Wang, W.,
Yu, R.,
Huang, Q.,
Neumann, U.,
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance
Segmentation,
CVPR18(2569-2578)
IEEE DOI
1812
Proposals, Image segmentation,
Semantics, Feature extraction
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Sharma, G.[Gopal],
Liu, D.[Difan],
Maji, S.[Subhransu],
Kalogerakis, E.[Evangelos],
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2011
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LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic
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CVRSUAD19(942-950)
IEEE DOI
2004
feature extraction, graphics processing units,
image segmentation, optical radar, radar imaging, LU-Net,
deep learning
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Honma, R.,
Date, H.,
Kanai, S.,
MLS Point Cloud Segmentation Based On Feature Points of Scanlines,
Laser19(1007-1013).
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1912
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Jiang, L.,
Zhao, H.,
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Shen, X.,
Fu, C.,
Jia, J.,
Hierarchical Point-Edge Interaction Network for Point Cloud Semantic
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ICCV19(10432-10440)
IEEE DOI
2004
graph theory, image colour analysis, image segmentation,
message passing, object detection, Labeling
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Zhong, Z.,
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Liu, Y.,
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VIASEG: Visual Information Assisted Lightweight Point Cloud
Segmentation,
ICIP19(1500-1504)
IEEE DOI
1910
Point Cloud Segmentation, Cross-modality Fusion,
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Walczak, J.[Jakub],
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Clustering Quality Measures for Point Cloud Segmentation Tasks,
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Springer DOI
1810
BibRef
Kuçak, R.A.,
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1207
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Utilization of spatial information for point cloud segmentation,
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IEEE DOI
1006
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Sedlacek, D.[David],
Zara, J.[Jiri],
Graph Cut Based Point-Cloud Segmentation for Polygonal Reconstruction,
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0911
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Zhan, Q.M.[Qing-Ming],
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Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Depth Object Detection, 3D Object Detection .