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Michael Hödlmoser
Person information
- affiliation: Vienna University of Technology, Austria
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2020 – today
- 2023
- [j2]Robert Fischer, Michael Hödlmoser, Margrit Gelautz:
Evaluation of Camera Pose Estimation Using Human Head Pose Estimation. SN Comput. Sci. 4(3): 301 (2023) - [c13]Dominik Schörkhuber, Roman Popp, Oleksandr Chistov, Fabian Windbacher, Michael Hödlmoser, Margrit Gelautz:
Design of an automotive platform for computer vision research. Autonomous Vehicles and Machines 2023: 1-6 - [c12]Fabian Windbacher, Michael Hödlmoser, Margrit Gelautz:
Single-Stage 3D Pose Estimation of Vulnerable Road Users Using Pseudo-Labels. SCIA (2) 2023: 401-417 - [c11]Robert Fischer, Michael Hödlmoser, Margrit Gelautz:
Flexible Extrinsic Structured Light Calibration Using Circles. VISIGRAPP (4: VISAPP) 2023: 47-55 - 2022
- [c10]Robert Fischer, Michael Hödlmoser, Margrit Gelautz:
Camera Pose Estimation using Human Head Pose Estimation. VISIGRAPP (4: VISAPP) 2022: 877-886
2010 – 2019
- 2015
- [j1]Klaus Steinnocher, Michael Hödlmoser:
Integrative Analyse von thermischer Emission und statistischen Gebäudeinformationen zur Erkennung von Optimierungspotenzialen in Stadtgebieten. AGIT Journal Angew. Geoinformatik 1: 65-71 (2015) - [c9]Michael Hödlmoser, Patrick Wolf, Martin Kampel:
Simplifying Indoor Scenes for Real-Time Manipulation on Mobile Devices. CAIP (2) 2015: 482-493 - [c8]Michael Hödlmoser:
3D window localization on building facades from aerial images. ICIP 2015: 3402-3406 - 2013
- [c7]Michael Hödlmoser, Branislav Micusík, Marc Pollefeys, Ming-Yu Liu, Martin Kampel:
Model-Based Vehicle Pose Estimation and Tracking in Videos Using Random Forests. 3DV 2013: 430-437 - [c6]Michael Hödlmoser, Branislav Micusík, Martin Kampel:
Sparse Point Cloud Densification by Combining Multiple Segmentation Methods. 3DV 2013: 438-445 - [c5]Michael Hödlmoser, Branislav Micusík:
Surface Layout Estimation Using Multiple Segmentation Methods and 3D Reasoning. IbPRIA 2013: 41-49 - 2012
- [c4]Michael Hödlmoser, Branislav Micusík, Ming-Yu Liu, Marc Pollefeys, Martin Kampel:
Classification and Pose Estimation of Vehicles in Videos by 3D Modeling within Discrete-Continuous Optimization. 3DIMPVT 2012: 198-205 - 2011
- [c3]Michael Hödlmoser, Branislav Micusík, Martin Kampel:
Camera auto-calibration using pedestrians and zebra-crossings. ICCV Workshops 2011: 1697-1704 - [c2]Michael Hödlmoser, Branislav Micusík, Martin Kampel:
Exploiting spatial consistency for object classification and pose estimation. ICIP 2011: 993-996 - 2010
- [c1]Michael Hödlmoser, Martin Kampel:
Multiple Camera Self-calibration and 3D Reconstruction Using Pedestrians. ISVC (2) 2010: 1-10
Coauthor Index
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