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Simon Buus Jensen
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2020 – today
- 2024
- [c2]Lasse H. Hansen, Simon Buus Jensen, Mark P. Philipsen, Andreas Møgelmose, Lars Bodum, Thomas B. Moeslund:
OpenTrench3D: A Photogrammetric 3D Point Cloud Dataset for Semantic Segmentation of Underground Utilities. CVPR Workshops 2024: 7646-7655 - [i4]Christos Kantas, Bjørk Antoniussen, Mathias V. Andersen, Rasmus Munksø, Shobhit Kotnala, Simon Buus Jensen, Andreas Møgelmose, Lau Nørgaard, Thomas B. Moeslund:
Raw Instinct: Trust Your Classifiers and Skip the Conversion. CoRR abs/2403.14439 (2024) - [i3]Lasse H. Hansen, Simon Buus Jensen, Mark P. Philipsen, Andreas Møgelmose, Lars Bodum, Thomas B. Moeslund:
OpenTrench3D: A Photogrammetric 3D Point Cloud Dataset for Semantic Segmentation of Underground Utilities. CoRR abs/2404.07711 (2024) - 2023
- [j1]Galadrielle Humblot-Renaux
, Simon Buus Jensen
From CAD Models to Soft Point Cloud Labels: An Automatic Annotation Pipeline for Cheaply Supervised 3D Semantic Segmentation. Remote. Sens. 15(14): 3578 (2023) - [i2]Galadrielle Humblot-Renaux, Simon Buus Jensen, Andreas Møgelmose:
From CAD models to soft point cloud labels: An automatic annotation pipeline for cheaply supervised 3D semantic segmentation. CoRR abs/2302.03114 (2023) - 2022
- [c1]Simon Buus Jensen
Deep Learning-based Anomaly Detection on X-Ray Images of Fuel Cell Electrodes. VISIGRAPP (4: VISAPP) 2022: 323-330 - [i1]Simon Buus Jensen, Thomas B. Moeslund, Søren J. Andreasen:
Deep Learning-based Anomaly Detection on X-ray Images of Fuel Cell Electrodes. CoRR abs/2202.07361 (2022)
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