Depth-aware Object Segmentation and Grasp Detection for Robotic Picking Tasks. - Stefan Ainetter; Christoph Böhm 004; Rohit Dhakate; Stephan Weiss 002; Friedrich Fraundorfer (BMVC, 2021)

End-to-end Trainable Deep Neural Network for Robotic Grasp Detection and Semantic Segmentation from RGB. - Stefan Ainetter; Friedrich Fraundorfer (ICRA, 2021)

Forestry Crane Automation using Learning-based Visual Grasping Point Prediction. - Harald Gietler; Christoph Böhm 004; Stefan Ainetter; Christian Schöffmann; Friedrich Fraundorfer; Stephan Weiss 002; Hubert Zangl (SAS, 2022)

Automatically Annotating Indoor Images with CAD Models via RGB-D Scans. - Stefan Ainetter; Sinisa Stekovic; Friedrich Fraundorfer; Vincent Lepetit (WACV, 2023)

HOC-Search: Efficient CAD Model and Pose Retrieval From RGB-D Scans. - Stefan Ainetter; Sinisa Stekovic; Friedrich Fraundorfer; Vincent Lepetit (3DV, 2024)

PyTorchGeoNodes: Enabling Differentiable Shape Programs for 3D Shape Reconstruction. - Sinisa Stekovic; Stefan Ainetter; Mattia D'Urso; Friedrich Fraundorfer; Vincent Lepetit (CoRR, 2024)

PyTorchGeoNodes: Enabling Differentiable Shape Programs for 3D Shape Reconstruction. - Sinisa Stekovic; Arslan Artykov; Stefan Ainetter; Mattia D'Urso; Friedrich Fraundorfer (CVPR, 2025)

Leveraging Automatic CAD Annotations for Supervised Learning in 3D Scene Understanding. - Yuchen Rao; Stefan Ainetter; Sinisa Stekovic; Vincent Lepetit; Friedrich Fraundorfer (CoRR, 2025)

DreamAnywhere: Object-Centric Panoramic 3D Scene Generation. - Edoardo Alberto Dominici; Jozef Hladky; Floor Verhoeven; Lukas Radl; Thomas Deixelberger; Stefan Ainetter; Philipp Drescher; Stefan Hauswiesner; Arno Coomans; Giacomo Nazzaro; Konstantinos Vardis; Markus Steinberger (CoRR, 2025)