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ORCIDJan Böhm
Person information
- affiliation: University College London, Civil, Environmental & Geomatic Engineering, UK
- affiliation (former): University of Stuttgart, Germany
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2020 – today
- 2024
[j5]Zichao Zeng
, Jan Boehm:
Exploration of an Open Vocabulary Model on Semantic Segmentation for Street Scene Imagery. ISPRS Int. J. Geo Inf. 13(5): 153 (2024)- [i8]Zichao Zeng, June Moh Goo, Xinglei Wang, Bin Chi, Meihui Wang, Jan Boehm:
Zero-shot Building Age Classification from Facade Image Using GPT-4. CoRR abs/2404.09921 (2024) - [i7]June Moh Goo, Zichao Zeng, Jan Boehm:
Zero-shot detection of buildings in mobile LiDAR using Language Vision Model. CoRR abs/2404.09931 (2024) - [i6]June Moh Goo, Xenios Milidonis, Alessandro Artusi, Jan Boehm, Carlo Ciliberto:
Hybrid-Segmentor: A Hybrid Approach to Automated Fine-Grained Crack Segmentation in Civil Infrastructure. CoRR abs/2409.02866 (2024) - 2023
- [c9]Natchapon Jongwiriyanurak, Zichao Zeng, Meihui Wang, James Haworth, Garavig Tanaksaranond, Jan Boehm:
Framework for Motorcycle Risk Assessment Using Onboard Panoramic Camera (Short Paper). GIScience 2023: 44:1-44:7 - 2021
- [c8]David Griffiths, Jan Boehm, Tobias Ritschel:
Curiosity-driven 3D Object Detection Without Labels. 3DV 2021: 525-534 - 2020
- [c7]David Griffiths, Jan Boehm, Tobias Ritschel:
Finding Your (3D) Center: 3D Object Detection Using a Learned Loss. ECCV (18) 2020: 70-85 - [i5]David Griffiths, Jan Boehm, Tobias Ritschel:
Finding Your (3D) Center: 3D Object Detection Using a Learned Loss. CoRR abs/2004.02693 (2020) - [i4]David Griffiths, Jan Boehm, Tobias Ritschel:
Curiosity-driven 3D Scene Structure from Single-image Self-supervision. CoRR abs/2012.01230 (2020)
2010 – 2019
- 2019
- [j4]David Griffiths, Jan Boehm:
A Review on Deep Learning Techniques for 3D Sensed Data Classification. Remote. Sens. 11(12): 1499 (2019) - [i3]David Griffiths, Jan Boehm:
Weighted Point Cloud Augmentation for Neural Network Training Data Class-Imbalance. CoRR abs/1904.04094 (2019) - [i2]David Griffiths, Jan Boehm:
A review on deep learning techniques for 3D sensed data classification. CoRR abs/1907.04444 (2019) - [i1]David Griffiths, Jan Boehm:
SynthCity: A large scale synthetic point cloud. CoRR abs/1907.04758 (2019) - 2015
- [j3]Jan Boehm, Roderik Lindenbergh, Michela Spagnuolo:
Preface to the special session on processing of large geospatial data. Comput. Graph. 49: A1-A2 (2015) - [j2]Charles Thomson, Jan Boehm:
Automatic Geometry Generation from Point Clouds for BIM. Remote. Sens. 7(9): 11753-11775 (2015) - [c6]Ahmad Baik, Jan Boehm:
Building information modelling for historical building Historic Jeddah - Saudi Arabia. Digital Heritage 2015: 125-128 - 2014
- [j1]Ali Hosseininaveh, Ben Sargeant, Tohid Erfani, Stuart Robson, Mark Shortis, Mona Hess, Jan Boehm:
Towards fully automatic reliable 3D acquisition: From designing imaging network to a complete and accurate point cloud. Robotics Auton. Syst. 62(8): 1197-1207 (2014) - 2012
- [c5]Ali Hosseininaveh, Margaret Serpico, Stuart Robson, Mona Hess, Jan Boehm, Ivor Pridden, Giancarlo Amati:
Automatic Image Selection in Photogrammetric Multi-view Stereo Methods. VAST 2012: 9-16
2000 – 2009
- 2007
- [c4]Jan Böhm:
Orientation of Image Sequences in a Point-based Environment Model. 3DIM 2007: 233-240 - 2006
- [c3]Shaoting Zhang, Lixu Gu, Weiming Liang, Pengfei Huang, Jan Boehm, Jianfeng Xu:
The Framework for Real-Time Simulation of Deformable Soft-Tissue Using a Hybrid Elastic Model. ISBMS 2006: 75-83 - 2001
- [c2]Jan Böhm, Jürgen Hefele, Dieter Fritsch:
Towards Online Pose Measurement for Robots. DAGM-Symposium 2001: 298-304
1990 – 1999
- 1999
- [c1]Jan Böhm, Claus Brenner, Jens Gühring, Dieter Fritsch:
CAD-basierte Objekterkennung für ein multisensorielles Meßsystem. DAGM-Symposium 1999: 62-69
Coauthor Index
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