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1. Chapter Topological Relationship Modelling for Industrial Facility Digitisation Using Graph Neural Networks

2. Impact of color and mixing proportion of synthetic point clouds on semantic segmentation

3. Scan-to-BIM for As-built Roads: Automatic Road Digital Twinning from Semantically Labeled Point Cloud Data

4. Cypher4BIM: Releasing the Power of Graph for Building Knowledge Discovery

5. Towards a Density Preserving Objective Function for Learning on Point Sets

7. GeoSpark: Sparking up Point Cloud Segmentation with Geometry Clue

9. NHA12D: A New Pavement Crack Dataset and a Comparison Study Of Crack Detection Algorithms

14. Geometric Digital Twinning of Industrial Facilities: Retrieval of Industrial Shapes

23. CLOI: An Automated Benchmark Framework For Generating Geometric Digital Twins Of Industrial Facilities

24. Instance Segmentation of Industrial Point Cloud Data

25. Automated 3D Mapping, Localization and Pavement Inspection with Low Cost RGB-D Cameras and IMUs

27. ConSLAM: Periodically Collected Real-World Construction Dataset for SLAM and Progress Monitoring

30. Reality Capture: Photography, Videos, Laser Scanning and Drones

36. A Streamlined Laser Scanning Verticality Check Method for Installation of Prefabricated Wall Panels.

46. Digitization of Existing Buildings with Arbitrary Shaped Spaces from Point Clouds.

48. Probabilistic forecasting of construction labor productivity metrics

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