9 citations · 10 across the 4 of their papers we have counts for
6 papers
Image-Guided Pavement Defect Recognition in GPR Data with novel 3D Deep Learning Architecture
Yuandong Pan, Linjun Lu, Mudan Wang +6
Ground Penetrating Radar (GPR) is a widely adopted non-destructive sensing technology for subsurface inspection in civil and transportation engineering. Despite its potential for p…
GeoSpark: Sparking up Point Cloud Segmentation with Geometry Clue
Zhening Huang, Xiaoyang Wu, Hengshuang Zhao +4
Current point cloud segmentation architectures suffer from limited long-range feature modeling, as they mostly rely on aggregating information with local neighborhoods. Furthermore…
NHA12D: A New Pavement Crack Dataset and a Comparison Study Of Crack Detection Algorithms
Zhening Huang, Weiwei Chen, Abir Al-Tabbaa +1
Crack detection plays a key role in automated pavement inspection. Although a large number of algorithms have been developed in recent years to further boost performance, there are…
Geometric Digital Twinning of Industrial Facilities: Retrieval of Industrial Shapes
Eva Agapaki, Ioannis Brilakis
This paper devises, implements and benchmarks a novel shape retrieval method that can accurately match individual labelled point clusters (instances) of existing industrial facilit…
CLOI: An Automated Benchmark Framework For Generating Geometric Digital Twins Of Industrial Facilities
Eva Agapaki, Ioannis Brilakis
This paper devises, implements and benchmarks a novel framework, named CLOI, that can accurately generate individual labelled point clusters of the most important shapes of existin…
Instance Segmentation of Industrial Point Cloud Data
Eva Agapaki, Ioannis Brilakis
The challenge that this paper addresses is how to efficiently minimize the cost and manual labour for automatically generating object oriented geometric Digital Twins (gDTs) of ind…