Markus Knauer

202020212022202320243 11 21 70 29

Maximilian DenningerDeep Learning Engineer at Apple在 maxi-denninger.de 的电子邮件经过验证
Martin SundermeyerGoogle在 google.com 的电子邮件经过验证
Dominik WinkelbauerGerman Aerospace Center在 dlr.de 的电子邮件经过验证
Rudolph TriebelGerman Aerospace Center (DLR) and Karlsruhe Institute of Technology (KIT)在 kit.edu 的电子邮件经过验证
Tomáš HodaňResearch Scientist, Reality Labs at Meta在 cmp.felk.cvut.cz 的电子邮件经过验证
Klaus H. StroblGroup Leader, Institute of Robotics and Mechatronics, German Aerospace Center (DLR)在 dlr.de 的电子邮件经过验证
Matthias HumtResearch Scientist (DLR), PhD Candidate (TUM)在 tum.de 的电子邮件经过验证

Markus Knauer

German Aerospace Center (DLR) & Technical University of Munich (TUM)

在 dlr.de 的电子邮件经过验证 - 首页


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	89	2020
Blenderproc2: A procedural pipeline for photorealistic rendering M Denninger, D Winkelbauer, M Sundermeyer, W Boerdijk, MW Knauer, ... Journal of Open Source Software 8 (82), 4901, 2023	43	2023
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	1	2022
Hows-cl-25: Household objects within simulation dataset for continual learning MW Knauer, M Denninger, R Triebel Zenodo. org, 2022	1	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

系统目前无法执行此操作，请稍后再试。

文章 1–5

每年引用数