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Eva Agapaki
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- affiliation: University of Cambridge, Department of Engineering, UK
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2020 – today
- 2022
- [c3]Sandeep Kamal Jalui
, Evangelia Agapaki
:
Investigation of Graph Neural Networks for Instance Segmentation of Industrial Point Cloud Data. LION 2022: 411-428 - [c2]Evangelia Agapaki
:
Airport Digital Twins for Resilient Disaster Management Response. LION 2022: 467-486 - [i5]Eva Agapaki, Ioannis K. Brilakis:
Geometric Digital Twinning of Industrial Facilities: Retrieval of Industrial Shapes. CoRR abs/2202.04834 (2022) - [i4]Maria Gonzalez Stefanelli, Avi Rajesh Jain, Sandeep Kamal Jalui, Eva Agapaki:
Synthetic Point Cloud Generation for Class Segmentation Applications. CoRR abs/2205.03738 (2022) - [i3]Eva Agapaki:
Airport Digital Twins for Resilient Disaster Management Response. CoRR abs/2205.03739 (2022) - 2021
- [j3]Jack Swanborough, Min-Koo Kim, Eva Agapaki, Ioannis K. Brilakis:
Automated optimum visualization system for construction drawing reading. J. Inf. Technol. Constr. 26: 681-696 (2021) - [j2]Eva Agapaki
, Ioannis K. Brilakis
:
Instance Segmentation of Industrial Point Cloud Data. J. Comput. Civ. Eng. 35(6) (2021) - [i2]Eva Agapaki, Ioannis K. Brilakis:
CLOI: An Automated Benchmark Framework For Generating Geometric Digital Twins Of Industrial Facilities. CoRR abs/2101.01355 (2021) - 2020
- [b1]Evangelia Agapaki:
Automated object segmentation in existing industrial facilities. University of Cambridge, UK, 2020 - [j1]Eva Agapaki, Ioannis K. Brilakis
:
CLOI-NET: Class segmentation of industrial facilities' point cloud datasets. Adv. Eng. Informatics 45: 101121 (2020) - [i1]Eva Agapaki, Ioannis K. Brilakis:
Instance Segmentation of Industrial Point Cloud Data. CoRR abs/2012.14253 (2020)
2010 – 2019
- 2018
- [c1]Eva Agapaki
, Ioannis K. Brilakis
:
State-of-Practice on As-Is Modelling of Industrial Facilities. EG-ICE 2018: 103-124
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