Jahr
Year | Titel/Autor:in
Title/Author | Publikationstyp
Publication Type |
|---|
| 2024 |
Human Body Part Segmentation using Deep Learning with Plausible Estimation of Occluded Body Parts
Hartmann, Alexander |
Master Thesis
|
| 2024 |
Extending 6D Object Pose Estimators for Stereo Vision
Pöllabauer, Thomas; Emrich, Jan; Knauthe, Volker; Kuijper, Arjan |
Paper
|
| 2024 |
Learning latent Geometry Representations for Zero-Shot 6D Pose Estimation
Weyel, Johannes |
Master Thesis
|
| 2024 |
Fast Training Data Acquisition for Object Detection and Segmentation using Black Screen Luminance Keying
Pöllabauer, Thomas; Knauthe, Volker; Boller, Andre; Kuijper, Arjan; Fellner, Dieter |
Paper
|
| 2024 |
Transparency Distortion Robustness for SOTA Image Segmentation Tasks
Knauthe, Volker; Rak, Arne; Wirth, Tristan; Pöllabauer, Thomas; Metzler, Simon; Kuijper, Arjan; Fellner, Dieter |
Paper
|
| 2024 |
Influence of Water Droplet Contamination for Transparency Segmentation
Knauthe, Volker; Weitz, Paul; Pöllabauer, Thomas; Wirth, Tristan; Rak, Arne; Kuijper, Arjan; Fellner, Dieter |
Paper
|
| 2024 |
Multi-View Pose Estimation Using 2D-3D Correspondences
Li, Jiayin |
Master Thesis
|
| 2024 |
Self-Optimizing Augmentation Pipeline
Boller, Andre |
Master Thesis
|
| 2024 |
"Make 6D Pose Estimation FAST Again": Real-Time 6D Object Pose Estimation
Fang, Zixuan |
Master Thesis
|
| 2024 |
Poses of Steel: Forging Accurate 6D Metal Pose Estimation in Images with Iron-ic Precision
Gasser, Michael |
Master Thesis
|
| 2024 |
FAST GDRNPP: Improving the Speed of State-of-the-Art 6D Object Pose Estimation
Pöllabauer, Thomas; Pramod, Ashwin; Knauthe, Volker; Wahl, Michael |
Konferenzbeitrag
Conference Paper
|
| 2023 |
Detection and Pose Estimation of Flat, Texture-Less Industry Objects on HoloLens Using Synthetic Training
Pöllabauer, Thomas; Rücker, Fabian; Franek, Andreas; Gorschlüter, Felix |
Konferenzbeitrag
Conference Paper
|
| 2023 |
Distortion-Based Transparency Detection Using Deep Learning on a Novel Synthetic Image Dataset
Knauthe, Volker; Pöllabauer, Thomas; Faller, Katharina; Kraus, Maurice; Wirth, Tristan; Buelow, Max von; Kuijper, Arjan; Fellner, Dieter |
Konferenzbeitrag
Conference Paper
|
| 2023 |
One-to-many Reconstruction of 3D Geometry of cultural Artifacts using a synthetically trained Generative Model
Pöllabauer, Thomas; Kühn, Julius; Li, Jiayi; Kuijper, Arjan |
Konferenzbeitrag
Conference Paper
|
| 2022 |
A Concept for Reconstructing Stucco Statues from historic Sketches using synthetic Data only
Pöllabauer, Thomas; Kühn, Julius |
Konferenzbeitrag
Conference Paper
|
| 2022 |
Dense Stereo Object Pose Estimation
Emrich, Jan |
Master Thesis
|
| 2022 |
Modifications to Neural Radiance Fields for Object Pose Estimation on unseen Object Appearances
Cao, Susanna |
Master Thesis
|
| 2022 |
A Survey of 6D Object Detection Based on 3D Models for Industrial Applications
Gorschlüter, Felix; Rojtberg, Pavel; Pöllabauer, Thomas Jürgen |
Zeitschriftenaufsatz
Journal Article
|
| 2021 |
Neural Radiance Fields for Real-time Object Pose Estimation on unseen Object Appearances
Werner, Christoph |
Master Thesis
|
| 2020 |
Style-transfer GANs for Bridging the Domain Gap in Synthetic Pose Estimator Training
Rojtberg, Pavel; Pöllabauer, Thomas Jürgen; Kuijper, Arjan |
Konferenzbeitrag
Conference Paper
|
Fraunhofer-Institut für Graphische Datenverarbeitung IGD