Jahr Year | Titel/Autor:in Title/Author | Publikationstyp Publication Type |
---|---|---|
2024 | Extending 6D Object Pose Estimators for Stereo Vision Pöllabauer, Thomas; Emrich, Jan; Knauthe, Volker; Kuijper, Arjan |
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 | 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 | Human Body Part Segmentation using Deep Learning with Plausible Estimation of Occluded Body Parts Hartmann, Alexander |
Master Thesis |
2024 | Multi-View Pose Estimation Using 2D-3D Correspondences Li, Jiayin |
Master Thesis |
2024 | "Make 6D Pose Estimation FAST Again": Real-Time 6D Object Pose Estimation Fang, Zixuan |
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 |
2024 | Influence of Water Droplet Contamination for Transparency Segmentation Knauthe, Volker; Weitz, Paul; Pöllabauer, Thomas; Wirth, Tristan; Rak, Arne; Kuijper, Arjan; Fellner, Dieter |
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 | 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 Concept for Reconstructing Stucco Statues from historic Sketches using synthetic Data only Pöllabauer, Thomas; Kühn, Julius |
Konferenzbeitrag Conference Paper |
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 |
Diese Liste ist ein Auszug aus der Publikationsplattform Fraunhofer-Publica
This list has been generated from the publication platform Fraunhofer-Publica