Thomas Czerniawski
- (2024): Semi-supervised symbol detection for piping and instrumentation drawings. Dans: Automation in Construction, v. 159 (mars 2024).
- (2023): Interoperability between Deep Neural Networks and 3D Architectural Modeling Software: Affordances of Detection and Segmentation. Dans: Buildings, v. 13, n. 9 (23 août 2023).
- (2023): Visual programming simulator for producing realistic labeled point clouds from digital infrastructure models. Dans: Automation in Construction, v. 156 (décembre 2023).
- (2021): Automated building change detection with amodal completion of point clouds. Dans: Automation in Construction, v. 124 (avril 2021).
- (2020): Semantic segmentation of point clouds of building interiors with deep learning: Augmenting training datasets with synthetic BIM-based point clouds. Dans: Automation in Construction, v. 113 (mai 2020).
- (2020): Automated digital modeling of existing buildings: A review of visual object recognition methods. Dans: Automation in Construction, v. 113 (mai 2020).
- (2016): Parallel Systems and Structural Frames Realignment Planning and Actuation Strategy. Dans: Journal of Computing in Civil Engineering, v. 30, n. 4 (juillet 2016).
- (2019): Pipe radius estimation using Kinect range cameras. Dans: Automation in Construction, v. 99 (mars 2019).
- (2016): Pipe spool recognition in cluttered point clouds using a curvature-based shape descriptor. Dans: Automation in Construction, v. 71 (novembre 2016).
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