Vibus: Data-efficient 3d scene parsing with viewpoint bottleneck and uncertainty-spectrum modeling

B Tian, L Luo, H Zhao, G Zhou - ISPRS Journal of Photogrammetry and …, 2022 - Elsevier
Recently, 3D scenes parsing with deep learning approaches has been a heating topic.
However, current methods with fully-supervised models require manually annotated point …

Road-side individual tree segmentation from urban MLS point clouds using metric learning

P Wang, Y Tang, Z Liao, Y Yan, L Dai, S Liu, T Jiang - Remote Sensing, 2023 - mdpi.com
As one of the most important components of urban space, an outdated inventory of road-side
trees may misguide managers in the assessment and upgrade of urban environments …

[HTML][HTML] A self-attention based global feature enhancing network for semantic segmentation of large-scale urban street-level point clouds

Q Chen, Z Zhang, S Chen, S Wen, H Ma… - International Journal of …, 2022 - Elsevier
Point clouds of large-scale urban street scenes contain large quantities of object categories
and rich semantic information. The semantic segmentation is the basis and key to …

[HTML][HTML] PReFormer: A memory-efficient transformer for point cloud semantic segmentation

PH Akwensi, R Wang, B Guo - … Journal of Applied Earth Observation and …, 2024 - Elsevier
The success of transformer networks in the natural language processing and 2D vision
domains has encouraged the adaptation of transformers to 3D computer vision tasks …

Three-dimensional quantification of apple phenotypic traits based on deep learning instance segmentation

X Dong, WY Kim, Y Zheng, JY Oh, R Ehsani… - … and Electronics in …, 2023 - Elsevier
Abstract Estimating three-dimensional (3D) fruit-level phenotypic traits of apple trees can
potentially improve apple orchard breeders' management strategy. However, the phenotypic …

Research on deep learning-based point cloud semantic segmentation for offshore drilling platforms

H Yu, X Zhang, L Zhang, C Ran - Ocean Engineering, 2024 - Elsevier
Offshore drilling platforms (ODP) require effective deformation monitoring and damage
detection in the wellhead space for operational maintenance. LiDAR technology, replacing …

PointMM: Point Cloud Semantic Segmentation CNN under Multi-Spatial Feature Encoding and Multi-Head Attention Pooling

R Chen, J Wu, Y Luo, G Xu - Remote Sensing, 2024 - mdpi.com
For the actual collected point cloud data, there are widespread challenges such as semantic
inconsistency, density variations, and sparse spatial distribution. A network called PointMM …

SemRegionNet: Region ensemble 3D semantic instance segmentation network with semantic spatial aware discriminative loss

G Zhang, D Zhu, W Shi, J Li, X Zhang - Neurocomputing, 2022 - Elsevier
The semantic instance segmentation task on 3D data has made great progress. However,
for unstructured 3D point cloud data, the mining of regional knowledge and explicit …

Multimodal dynamic graph convolutional network for crowdfunding success prediction

Z Cai, H Ding, M Xu, X Cui - Applied Soft Computing, 2024 - Elsevier
Crowdfunding creates opportunities for creative people to raise funds so their ideas can be
brought to life. However, the failure of fundraising leads to certain losses for project starters …

Three-dimensional geometry reconstruction method for slowly rotating space targets utilizing ISAR image sequence

Z Zhou, L Liu, R Du, F Zhou - Remote Sensing, 2022 - mdpi.com
For a slowly rotating space target (SRST) with a fixed axis, traditional 3D geometry
reconstruction methods become invalid as the projection vectors cannot be formed without …