Marco Huber

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Uwe D. HanebeckKarlsruhe Institute of Technology (KIT)Verified email at ieee.org
Werner KrausFraunhofer Institute for Manufacturing Engineering and Automation IPAVerified email at ipa.fraunhofer.de
Marc ZöllerUni StuttgartVerified email at gft.com
Richard BormannFraunhofer IPAVerified email at ipa.fraunhofer.de
Florian ZeigerSiemens AGVerified email at siemens.com
Juergen BeyererProfessor für Informatik KIT Karlsruhe und Leiter des Fraunhofer-IOSBVerified email at iosb.fraunhofer.de
Vangelis GazisUniversity of AthensVerified email at di.uoa.gr
Xinyang WuResearch Group Leader, Fraunhofer IPAVerified email at ipa.fraunhofer.de
Mohamed El-ShamoutyResearch Engineer, Fraunhofer IPAVerified email at ipa.fraunhofer.de
Marc DeisenrothUniversity College LondonVerified email at ucl.ac.uk
Marius MoosmannManager AI in Robotics at Fraunhofer IPAVerified email at ipa.fraunhofer.de
Alessandro LeonardiDIIT, DIEEI, University of Catania, AGT Group (R&D) GmbH, Darmstadt, AGT InternationalVerified email at agtinternational.com
Alexander WiesmaierDarmstadt University of Applied SciencesVerified email at h-da.de
Manuel Görtzurban mobility innovationsVerified email at manuel-goertz.de
Carl Edward RasmussenProfessor of Machine Learning, University of CambridgeVerified email at cam.ac.uk
Christian LandgrafFraunhofer IPAVerified email at ipa.fraunhofer.de
Marcel AlbusResearch Engineer at Fraunhofer IPAVerified email at ipa.fraunhofer.de
Tim BaileyUniversity of SydneyVerified email at acfr.usyd.edu.au
Hugh Durrant-WhyteUniversity of SydneyVerified email at sydney.edu.au
Achim KuwertzFraunhofer IOSBVerified email at iosb.fraunhofer.de

Marco Huber

University of Stuttgart

Verified email at ieee.org - Homepage

Bayesian Filtering Machine Learning Optimal Control Data Fusion Machine Vision


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A survey on the explainability of supervised machine learning N Burkart, MF Huber Journal of Artificial Intelligence Research 70, 245-317, 2021	1119	2021
Benchmark and survey of automated machine learning frameworks MA Zöller, MF Huber Journal of artificial intelligence research 70, 409-472, 2021	484	2021
On entropy approximation for Gaussian mixture random vectors MF Huber, T Bailey, H Durrant-Whyte, UD Hanebeck 2008 IEEE International Conference on Multisensor Fusion and Integration for …, 2008	365	2008
A survey on learning-based robotic grasping K Kleeberger, R Bormann, W Kraus, MF Huber Current Robotics Reports 1, 239-249, 2020	305	2020
Analytic moment-based Gaussian process filtering MP Deisenroth, MF Huber, UD Hanebeck Proceedings of the 26th annual international conference on machine learning …, 2009	185	2009
Recursive Gaussian process: On-line regression and learning MF Huber Pattern Recognition Letters 45, 85-91, 2014	173	2014
Robust filtering and smoothing with Gaussian processes MP Deisenroth, RD Turner, MF Huber, UD Hanebeck, CE Rasmussen IEEE Transactions on Automatic Control 57 (7), 1865-1871, 2011	161	2011
A survey of technologies for the internet of things V Gazis, M Görtz, M Huber, A Leonardi, K Mathioudakis, A Wiesmaier, ... 2015 international wireless communications and mobile computing conference …, 2015	154	2015
Short paper: IoT: Challenges, projects, architectures V Gazis, M Goertz, M Huber, A Leonardi, K Mathioudakis, A Wiesmaier, ... 2015 18th international conference on intelligence in next generation …, 2015	138	2015
Survey on automated machine learning MA Zöller, MF Huber arXiv preprint arXiv:1904.12054 9, 2019	117	2019
Low resolution person detection with a moving thermal infrared camera by hot spot classification M Teutsch, T Muller, M Huber, J Beyerer Proceedings of the IEEE conference on computer vision and pattern …, 2014	117	2014
MEMS IMU for ahrs applications W Geiger, J Bartholomeyczik, U Breng, W Gutmann, M Hafen, E Handrich, ... 2008 IEEE/ION Position, Location and Navigation Symposium, 225-231, 2008	113	2008
Gaussian mixture reduction via clustering D Schieferdecker, MF Huber 2009 12th international conference on information fusion, 1536-1543, 2009	97	2009
Gaussian filter based on deterministic sampling for high quality nonlinear estimation MF Huber, UD Hanebeck IFAC Proceedings Volumes 41 (2), 13527-13532, 2008	94	2008
Large-scale 6d object pose estimation dataset for industrial bin-picking K Kleeberger, C Landgraf, MF Huber 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019	87	2019
Progressive Gaussian mixture reduction MF Huber, UD Hanebeck 2008 11th International Conference on Information Fusion, 1-8, 2008	85	2008
Dirac mixture approximation of multivariate gaussian densities UD Hanebeck, MF Huber, V Klumpp Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held …, 2009	70	2009
Towards safe human-robot collaboration using deep reinforcement learning M El-Shamouty, X Wu, S Yang, M Albus, MF Huber 2020 IEEE international conference on robotics and automation (ICRA), 4899-4905, 2020	68	2020
Single shot 6d object pose estimation K Kleeberger, MF Huber 2020 IEEE International Conference on Robotics and Automation (ICRA), 6239-6245, 2020	62	2020
Qmagface: Simple and accurate quality-aware face recognition P Terhörst, M Ihlefeld, M Huber, N Damer, F Kirchbuchner, K Raja, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023	59	2023

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