Role: PhD student
DC Topic: Scene Understanding for Knowing about Objects and their Use
Research Interests:
- Object Pose Estimation for Robotic Grasping
- Reasoning in scene understanding and hypothesis verification
- Application of computer graphics and simulation for visual perception
Short Bio
Dominik is a PhD candidate and research assistant with the Vision for Robotics group at TU Wien. He holds a Master’s degree in Visual Computing as well as a Bachelor’s degree in Media Informatics and Visual Computing, both from TU Wien. For his Master’s thesis “Evaluation of the Recognition Distances of Safety Signs in VR Considering Vision Impairments”, Dominik received the “Distinguished Young Alumnus” award of the Faculty of Informatics at TU Wien.
Publications
- Bauer, D., Patten, T., & Vincze, M. (2022). SporeAgent: Reinforced Scene-level Plausibility for Object Pose Refinement. IEEE Winter Conference on Applications of Computer Vision (WACV).
- Bauer, D., Patten, T., & Vincze, M. (2021). ReAgent: Point Cloud Registration using Imitation and Reinforcement Learning. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 14586-14594.
- Papagni, G., Bauer, D., Köszegi, S., & Vincze, M. (2021). A Study Design for Evaluation of Trust and Understandability through Interactive Multi-Modal Explanations of Robotic Failure. HRI 2021 Workshop Your Study Design.
- Vincze, M., Patten, T., Park, K., & Bauer, D. (2020). Learn, detect, and grasp objects in real-world settings. Elektrotechnik und Informationstechnik (e&i), 137(6), 324-330.
- Bauer, D., Patten, T., & Vincze, M. (2020). Physical Plausibility of 6D Pose Estimates in Scenes of Static Rigid Objects. European Conference on Computer Vision Workshops (ECCVW), 648-662.
- Bauer, D., Patten, T., & Vincze, M. (2020). Scene Explanation through Verification of Stable Object Poses. ICRA 2020 Workshop on Perception, Action, Learning: From Metric-Semantic Scene Understanding to High-level Task Execution.
- Bauer, D., Patten, T., & Vincze, M. (2020). VeREFINE: Integrating Object Pose Verification with Iterative Physics-guided Refinement. IEEE Robotics and Automation Letters (RA-L), 5(3), 4289-4296. Oral presentation at IROS 2020.
- Bauer, D., Patten, T., & Vincze, M. (2019). Monte Carlo Tree Search on Directed Acyclic Graphs for Object Pose Verification. International Conference on Computer Vision Systems (ICVS), 386-396.
- Bauer, D., Patten, T., & Vincze, M. (2019). 6D Object Pose Verification via Confidence-based Monte Carlo Tree Search and Constrained Physics Simulation. OAGM & ARW Joint Workshop, 153-158.
- Koller, M., Bauer, D., de Pagter, J., Papagni, G., & Vincze, M. (2019). A Pilot Study on Determining the Relation between Gaze Aversion and Interaction Experience. ACM/IEEE International Conference on Human-Robot Interaction (HRI), 644-645.
- Krösl, K., Bauer, D., Schwärzler, M., Fuchs, H., Suter, G., & Wimmer, M. (2018). A VR-based User Study on the Effects of Vision Impairments on Recognition Distances of Escape-route Signs in Buildings. The Visual Computer, 34(6-8), 911-923.
Contact Info
Email: dominik.bauer@tuwien.ac.at