Michael Kölle

Orcid: 0000-0002-5343-2021

Affiliations:
  • University of Stuttgart, Germany


According to our database1, Michael Kölle authored at least 6 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Forming a hybrid intelligence system by combining Active Learning and paid crowdsourcing for semantic 3D point cloud segmentation.
PhD thesis, 2023

Efficient and Accurate Tree Detection from 3D Point Clouds through Paid Crowdsourcing.
CoRR, 2023

2021
The Hessigheim 3D (H3D) Benchmark on Semantic Segmentation of High-Resolution 3D Point Clouds and Textured Meshes from UAV LiDAR and Multi-View-Stereo.
CoRR, 2021

CATEGORISE: An Automated Framework for Utilizing the Workforce of the Crowd for Semantic Segmentation of 3D Point Clouds.
Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

2020
Towards Urban Tree Recognition in Airborne Point Clouds with Deep 3D Single-Shot Detectors.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Remembering Both the Machine and the Crowd When Sampling Points: Active Learning for Semantic Segmentation of ALS Point Clouds.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020


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