Markus Knauer - Google Scholar

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Co-authors

Maximilian DenningerDeep Learning Engineer at AppleVerified email at maxi-denninger.de
Martin SundermeyerPhD Candidate, German Aerospace Center (DLR), Technical University of Munich (TUM)Verified email at dlr.de
Tomáš HodaňResearch Scientist, Reality Labs at MetaVerified email at cmp.felk.cvut.cz
Dominik WinkelbauerGerman Aerospace CenterVerified email at dlr.de
Rudolph TriebelDLR and Technical University MunichVerified email at in.tum.de

Markus Knauer

Markus Knauer

German Aerospace Center (DLR)

Verified email at dlr.de

Deep Learning Vision Continual Learning Robotics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
BlenderProc: Reducing the Reality Gap with Photorealistic Rendering M Denninger, M Sundermeyer, D Winkelbauer, D Olefir, T Hodan, Y Zidan, ... Robotics: Science and Systems (RSS) Workshops, 2020	37	2020
RECALL: Rehearsal-free Continual Learning for Object Classification M Knauer, M Denninger, R Triebel 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022		2022
HOWS-CL-25: Household Objects Within Simulation Dataset for Continual Learning MW Knauer, M Denninger, R Triebel Zenodo. org, 2022		2022
A persistent incremental learning approach for object classification of unseen categories using convolutional neural networks on mobile robots M Knauer Hochschule Kempten, 2020		2020

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Articles 1–4