312 citations · 490 across the 7 of their papers we have counts for
7 papers
SAGOnline: Segment Any Gaussians Online
Wentao Sun, Quanyun Wu, Hanqing Xu +7
3D Gaussian Splatting has emerged as a powerful paradigm for explicit 3D scene representation, yet achieving efficient and consistent 3D segmentation remains challenging. Existing…
PointGauss: Point Cloud-Guided Multi-Object Segmentation for Gaussian Splatting
Wentao Sun, Yiping Chen, John S. Zelek +1
While 3D Gaussian Splatting (3DGS) has established new standards for high-fidelity 3D scene modeling, interpreting massive, unstructured Gaussian primitives into meaningful geospat…
OpenGF: An Ultra-Large-Scale Ground Filtering Dataset Built Upon Open ALS Point Clouds Around the World
Nannan Qin, Weikai Tan, Lingfei Ma +2
Ground filtering has remained a widely studied but incompletely resolved bottleneck for decades in the automatic generation of high-precision digital elevation model, due to the dr…
A CNN Approach to Simultaneously Count Plants and Detect Plantation-Rows from UAV Imagery
Lucas Prado Osco, Mauro dos Santos de Arruda, Diogo Nunes Gonçalves +11
In this paper, we propose a novel deep learning method based on a Convolutional Neural Network (CNN) that simultaneously detects and geolocates plantation-rows while counting its p…
UAV LiDAR Point Cloud Segmentation of A Stack Interchange with Deep Neural Networks
Weikai Tan, Dedong Zhang, Lingfei Ma +3
Stack interchanges are essential components of transportation systems. Mobile laser scanning (MLS) systems have been widely used in road infrastructure mapping, but accurate mappin…
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
Ying Li, Lingfei Ma, Zilong Zhong +4
Recently, the advancement of deep learning in discriminative feature learning from 3D LiDAR data has led to rapid development in the field of autonomous driving. However, automated…