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Maximilian Denninger
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2020 – today
- 2023
- [b1]Maximilian Denninger:
Persistent Learning for Semantic Indoor Mapping in Dynamic Environments. Technical University of Munich, Germany, 2023 - [j3]Maximilian Denninger, Dominik Winkelbauer, Martin Sundermeyer, Wout Boerdijk, Markus Knauer, Klaus H. Strobl, Matthias Humt, Rudolph Triebel:
BlenderProc2: A Procedural Pipeline for Photorealistic Rendering. J. Open Source Softw. 8(83): 4901 (2023) - [c5]Maximilian Denninger, Rudolph Triebel:
3D Semantic Scene Reconstruction from a Single Viewport. IMPROVE 2023: 15-26 - 2022
- [c4]Markus Knauer, Maximilian Denninger, Rudolph Triebel:
RECALL: Rehearsal-free Continual Learning for Object Classification. IROS 2022: 63-70 - [i3]Markus Knauer, Maximilian Denninger, Rudolph Triebel:
RECALL: Rehearsal-free Continual Learning for Object Classification. CoRR abs/2209.14774 (2022) - 2021
- [j2]Jörn Vogel, Daniel Leidner, Annette Hagengruber, Michael Panzirsch, Berthold Bäuml, Maximilian Denninger, Ulrich Hillenbrand, Lioba Suchenwirth, Peter Schmaus, Marco Sewtz, Adrian Simon Bauer, Thomas Hulin, Maged Iskandar, Gabriel Quere, Alin Albu-Schäffer, Alexander Dietrich:
An Ecosystem for Heterogeneous Robotic Assistants in Caregiving: Core Functionalities and Use Cases. IEEE Robotics Autom. Mag. 28(3): 12-28 (2021) - [c3]Dominik Winkelbauer, Maximilian Denninger, Rudolph Triebel:
Learning to Localize in New Environments from Synthetic Training Data. ICRA 2021: 5840-5846 - 2020
- [c2]Maximilian Denninger, Rudolph Triebel:
3D Scene Reconstruction from a Single Viewport. ECCV (22) 2020: 51-67 - [i2]Dominik Winkelbauer, Maximilian Denninger, Rudolph Triebel:
Learning to Localize in New Environments from Synthetic Training Data. CoRR abs/2011.04539 (2020)
2010 – 2019
- 2019
- [i1]Maximilian Denninger, Martin Sundermeyer, Dominik Winkelbauer, Youssef Zidan, Dmitry Olefir, Mohamad Elbadrawy, Ahsan Lodhi, Harinandan Katam:
BlenderProc. CoRR abs/1911.01911 (2019) - 2018
- [c1]Maximilian Denninger, Rudolph Triebel:
Persistent Anytime Learning of Objects from Unseen Classes. IROS 2018: 4075-4082 - 2016
- [j1]Christian Rink, Simon Kriegel, Daniel Seth, Maximilian Denninger, Zoltan-Csaba Marton, Tim Bodenmüller:
Monte Carlo Registration and Its Application with Autonomous Robots. J. Sensors 2016: 2546819:1-2546819:28 (2016)
Coauthor Index
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