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Elsevier DOI
1306
Airborne LiDAR; Filtering; Progressive TIN densification;
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Segmentation
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Feature extraction, Convolution,
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Machine learning, Feature extraction,
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IEEE DOI
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2008
BibRef
Earlier:
Octree Guided CNN With Spherical Kernels for 3D Point Clouds,
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IEEE DOI
2002
Kernel, Convolution,
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Depth scene segmentation, U-V disparity map,
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Clustering algorithms, Clustering methods, Transform coding,
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2101
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An anchor-based graph method for detecting and classifying indoor
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Elsevier DOI
2101
Point cloud, Object classification, Functional part,
Graph matching, Super-graph, Graph similarity
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2102
Reeb graph, Point cloud, Graph normalization
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Ma, L.,
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Multi-Scale Point-Wise Convolutional Neural Networks for 3D Object
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ITS(22), No. 2, February 2021, pp. 821-836.
IEEE DOI
2102
Feature extraction, Semantics, Shape,
Solid modeling, Neural networks, Roads, Point clouds, k-nearest neighbor
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DOI Link
2103
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Hierarchical Alternate Interaction Network for RGB-D Salient Object
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IEEE DOI
2103
Object detection, Feature extraction, Color, Visualization,
Task analysis, Computer architecture, Stereo image processing,
alternate interaction
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2103
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2103
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Bi-Directional Attention for Joint Instance and Semantic Segmentation
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ACCV20(I:209-226).
Springer DOI
2103
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Schmohl, S.[Stefan],
Soergel, U.[Uwe],
Remembering Both the Machine and the Crowd When Sampling Points:
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Springer DOI
2103
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Salsanext: Fast, Uncertainty-aware Semantic Segmentation of Lidar Point
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ISVC20(II:207-222).
Springer DOI
2103
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Xiang, Z.[Zhiyu],
Gu, J.[Jiaqi],
Sdp-net: Scene Flow Based Real-time Object Detection and Prediction
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ACCV20(I:140-157).
Springer DOI
2103
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Gangisetty, S.[Shankar],
3d Semantic Segmentation for Large-scale Scene Understanding,
MLCSA20(87-102).
Springer DOI
2103
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Wang, X.,
Fan, X.,
Zhao, D.,
A semantic labeling framework for ALS point clouds based on
discretization and CNN,
VCIP20(58-61)
IEEE DOI
2102
Semantics, Labeling, Entropy,
Neural networks, Microprocessors, Computer architecture, CNN
BibRef
Liu, X.,
Cao, J.,
Bi, Q.,
Wang, J.,
Shi, B.,
Wei, Y.,
Dense Point Diffusion for 3D Object Detection,
3DV20(762-770)
IEEE DOI
2102
Convolution, Object detection,
Feature extraction, Task analysis, Quantization (signal)
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Saltori, C.,
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Sebe, N.,
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SF-UDA3D: Source-Free Unsupervised Domain Adaptation for LiDAR-Based
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3DV20(771-780)
IEEE DOI
2102
Annotations, Detectors,
Adaptation models, Laser radar, Target tracking,
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Duerr, F.,
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LiDAR-based Recurrent 3D Semantic Segmentation with Temporal Memory
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3DV20(781-790)
IEEE DOI
2102
Image segmentation,
Feature extraction, Semantics, Sensors, Laser radar, Task analysis,
Point clouds
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Yu, M.,
Liu, J.,
Ni, B.,
Li, C.,
Two-Stage Relation Constraint for Semantic Segmentation of Point
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3DV20(271-280)
IEEE DOI
2102
Semantics, Task analysis, Convolution,
Computer architecture, Heuristic algorithms, Training,
Semantic Segmentation
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Widyaningrum, E.,
Fajari, M.K.,
Lindenbergh, R.C.,
Hahn, M.,
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2012
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Leichter, A.,
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Feature-Extraction from All-scale Neighborhoods with Applications To
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Deep Fusionnet for Point Cloud Semantic Segmentation,
ECCV20(XXIV:644-663).
Springer DOI
2012
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Tian, Z.[Zhi],
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Learning and Memorizing Representative Prototypes for 3d Point Cloud
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ECCV20(XVIII:564-580).
Springer DOI
2012
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Liu, J.X.[Jin-Xian],
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Chen, Y.[Ye],
Self-prediction for Joint Instance and Semantic Segmentation of Point
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ECCV20(XXII:187-204).
Springer DOI
2011
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Efficient Outdoor 3d Point Cloud Semantic Segmentation for Critical
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Springer DOI
2011
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Du, A.[Anan],
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Exploring Long-Short-Term Context For Point Cloud Semantic
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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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Xu, X.,
Lee, G.H.,
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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Wang, L.[Lei],
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IEEE DOI
2002
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Adam, A.,
Grammatikopoulos, L.,
Karras, G.,
Protopapadakis, E.,
Karantzalos, K.,
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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Fotia, A.,
Point Cloud Segmentation Using Image Processing Techniques For
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GEORES19(187-193).
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1912
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Hu, Q.Y.[Qing-Yong],
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Xie, L.H.[Lin-Hai],
Rosa, S.[Stefano],
Guo, Y.L.[Yu-Lan],
Wang, Z.H.[Zhi-Hua],
Trigoni, N.[Niki],
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],
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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
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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
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Wang, W.,
Yu, R.,
Huang, Q.,
Neumann, U.,
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance
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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],
Chaudhuri, S.[Siddhartha],
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Parsenet: A Parametric Surface Fitting Network for 3d Point Clouds,
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2011
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Aujol, J.,
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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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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.,
Zhang, C.,
Liu, Y.,
Wu, Y.,
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],
Wojciechowski, A.[Adam],
Clustering Quality Measures for Point Cloud Segmentation Tasks,
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1810
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Kuçak, R.A.,
Özdemir, E.,
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The Segmentation of Point Clouds with K-means and ANN (Artifical Neural
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Hannover17(595-598).
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Alatan, A.A.[A. Aydin],
Jonker, P.P.[Pieter P.],
Utilization of spatial information for point cloud segmentation,
3DTV10(1-4).
IEEE DOI
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Sedlacek, D.[David],
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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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Color-Based Segmentation of Point Clouds,
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0909
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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 .