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Thomas Pöllabauer
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2020 – today
- 2024
- [i11]Thomas Pöllabauer, Fabian Rücker, Andreas Franek, Felix Gorschlüter:
Detection and Pose Estimation of flat, Texture-less Industry Objects on HoloLens using synthetic Training. CoRR abs/2402.04979 (2024) - [i10]Thomas Pöllabauer, Julius Kühn:
A Concept for Reconstructing Stucco Statues from historic Sketches using synthetic Data only. CoRR abs/2402.05593 (2024) - [i9]Thomas Pöllabauer, Jan Emrich, Volker Knauthe, Arjan Kuijper:
Extending 6D Object Pose Estimators for Stereo Vision. CoRR abs/2402.05610 (2024) - [i8]Thomas Pöllabauer, Julius Kühn, Jiayi Li, Arjan Kuijper:
One-to-many Reconstruction of 3D Geometry of cultural Artifacts using a synthetically trained Generative Model. CoRR abs/2402.08310 (2024) - [i7]Thomas Pöllabauer, Volker Knauthe, André Boller, Arjan Kuijper, Dieter W. Fellner:
Fast Training Data Acquisition for Object Detection and Segmentation using Black Screen Luminance Keying. CoRR abs/2405.07653 (2024) - [i6]Volker Knauthe, Paul Weitz, Thomas Pöllabauer, Tristan Wirth, Arne Rak, Arjan Kuijper, Dieter W. Fellner:
Influence of Water Droplet Contamination for Transparency Segmentation. CoRR abs/2405.12861 (2024) - [i5]Volker Knauthe, Arne Rak, Tristan Wirth, Thomas Pöllabauer, Simon Metzler, Arjan Kuijper, Dieter W. Fellner:
Transparency Distortion Robustness for SOTA Image Segmentation Tasks. CoRR abs/2405.12864 (2024) - [i4]Thomas Pöllabauer, Jiayin Li, Volker Knauthe, Sarah Berkei, Arjan Kuijper:
End-to-End Probabilistic Geometry-Guided Regression for 6DoF Object Pose Estimation. CoRR abs/2409.11819 (2024) - [i3]Thomas Pöllabauer, Ashwin Pramod, Volker Knauthe, Michael G. Wahl:
FAST GDRNPP: Improving the Speed of State-of-the-Art 6D Object Pose Estimation. CoRR abs/2409.12720 (2024) - 2023
- [c6]Volker Knauthe, Thomas Pöllabauer, Katharina Faller, Maurice Kraus, Tristan Wirth, Max von Buelow, Arjan Kuijper, Dieter W. Fellner:
Distortion-Based Transparency Detection Using Deep Learning on a Novel Synthetic Image Dataset. SCIA (1) 2023: 251-267 - [c5]Thomas Pöllabauer, Fabian Rücker, Andreas Franek, Felix Gorschlüter:
Detection and Pose Estimation of Flat, Texture-Less Industry Objects on HoloLens Using Synthetic Training. SCIA (2) 2023: 569-585 - [c4]Thomas Pöllabauer, Julius Kühn, Jiayi Li, Arjan Kuijper:
One-to-many Reconstruction of 3D Geometry of cultural Artifacts using a synthetically trained Generative Model. GCH 2023: 81-84 - [i2]Pavel Rojtberg, Thomas Pöllabauer:
YCB-Ev: Event-vision dataset for 6DoF object pose estimation. CoRR abs/2309.08482 (2023) - 2022
- [j1]Felix Gorschlüter, Pavel Rojtberg, Thomas Pöllabauer:
A Survey of 6D Object Detection Based on 3D Models for Industrial Applications. J. Imaging 8(3): 53 (2022) - [c3]Thomas Pöllabauer, Julius Kühn:
A Concept for Reconstructing Stucco Statues from historic Sketches using synthetic Data only. GCH 2022: 11-14 - 2020
- [c2]Pavel Rojtberg, Thomas Pöllabauer, Arjan Kuijper:
Style-transfer GANs for bridging the domain gap in synthetic pose estimator training. AIVR 2020: 188-195 - [i1]Pavel Rojtberg, Thomas Pöllabauer, Arjan Kuijper:
Style-transfer GANs for bridging the domain gap in synthetic pose estimator training. CoRR abs/2004.13681 (2020)
2010 – 2019
- 2019
- [c1]Sandro Rodriguez Garzon, Thomas Pöllabauer, Sebastian Zickau, Axel Küpper:
Interactive Design of Geofences for Proactive Location-Based Services in Smart Cities. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 1184-1187
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last updated on 2024-12-03 20:25 CET by the dblp team
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