Jan Boehm

21 papers Journal 16Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Comprehensive Survey on Deep Learning-Based LiDAR Super-Resolution for Autonomous Driving.
CoRR
June Moh Goo, Zichao Zeng, Jan Boehm
2026 J jnl
Dilated Superpixel Aggregation for Visual Place Recognition.
IEEE Robotics Autom. Lett.
Zichao Zeng, June Moh Goo, Jan Boehm
2025 J jnl
Checkerboard Target Measurement in Unordered Point Clouds with Coloured ICP.
CoRR
June Moh Goo, Jialun Li, Darmawan Wicaksono, Jan Boehm
2024 J jnl
Exploration of an Open Vocabulary Model on Semantic Segmentation for Street Scene Imagery.
ISPRS Int. J. Geo Inf.
Zichao Zeng, Jan Boehm
2024 J jnl
Hybrid-Segmentor: A Hybrid Approach to Automated Fine-Grained Crack Segmentation in Civil Infrastructure.
CoRR
June Moh Goo, Xenios Milidonis, Alessandro Artusi, Jan Boehm, Carlo Ciliberto
2024 J jnl
Zero-shot Building Age Classification from Facade Image Using GPT-4.
CoRR
Zichao Zeng, June Moh Goo, Xinglei Wang, Bin Chi, Meihui Wang, Jan Boehm
2024 J jnl
Zero-shot detection of buildings in mobile LiDAR using Language Vision Model.
CoRR
June Moh Goo, Zichao Zeng, Jan Boehm
2023 — conf
Framework for Motorcycle Risk Assessment Using Onboard Panoramic Camera (Short Paper).
GIScience
Natchapon Jongwiriyanurak, Zichao Zeng, Meihui Wang, James Haworth, Garavig Tanaksaranond, Jan Boehm
2021 — conf
Curiosity-driven 3D Object Detection Without Labels.
3DV
David Griffiths, Jan Boehm, Tobias Ritschel
2020 J jnl
Curiosity-driven 3D Scene Structure from Single-image Self-supervision.
CoRR
David Griffiths, Jan Boehm, Tobias Ritschel
2020 — conf
Finding Your (3D) Center: 3D Object Detection Using a Learned Loss.
ECCV (18)
David Griffiths, Jan Boehm, Tobias Ritschel
2020 J jnl
Finding Your (3D) Center: 3D Object Detection Using a Learned Loss.
CoRR
David Griffiths, Jan Boehm, Tobias Ritschel
2019 J jnl
A Review on Deep Learning Techniques for 3D Sensed Data Classification.
Remote. Sens.
David Griffiths, Jan Boehm
2019 J jnl
A review on deep learning techniques for 3D sensed data classification.
CoRR
David Griffiths, Jan Boehm
2019 J jnl
SynthCity: A large scale synthetic point cloud.
CoRR
David Griffiths, Jan Boehm
2019 J jnl
Weighted Point Cloud Augmentation for Neural Network Training Data Class-Imbalance.
CoRR
David Griffiths, Jan Boehm
2015 J jnl
Automatic Geometry Generation from Point Clouds for BIM.
Remote. Sens.
Charles Thomson, Jan Boehm
2015 — conf
Building information modelling for historical building Historic Jeddah - Saudi Arabia.
Digital Heritage
Ahmad Baik, Jan Boehm
2015 J jnl
Preface to the special session on processing of large geospatial data.
Comput. Graph.
Jan Boehm, Roderik Lindenbergh, Michela Spagnuolo
2014 J jnl
Towards fully automatic reliable 3D acquisition: From designing imaging network to a complete and accurate point cloud.
Robotics Auton. Syst.
Ali Hosseininaveh, Ben Sargeant, Tohid Erfani, Stuart Robson, Mark Shortis, Mona Hess, Jan Boehm
2012 — conf
Automatic Image Selection in Photogrammetric Multi-view Stereo Methods.
VAST
Ali Hosseininaveh, Margaret Serpico, Stuart Robson, Mona Hess, Jan Boehm, Ivor Pridden, Giancarlo Amati