Marco Huber

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Uwe D. HanebeckKarlsruhe Institute of Technology (KIT)Dirección de correo verificada de ieee.org
Werner KrausFraunhofer Institute for Manufacturing Engineering and Automation IPADirección de correo verificada de ipa.fraunhofer.de
Marc ZöllerUni StuttgartDirección de correo verificada de gft.com
Richard BormannFraunhofer IPADirección de correo verificada de ipa.fraunhofer.de
Florian ZeigerSiemens AGDirección de correo verificada de siemens.com
Juergen BeyererProfessor für Informatik KIT Karlsruhe und Leiter des Fraunhofer-IOSBDirección de correo verificada de iosb.fraunhofer.de
Vangelis GazisUniversity of AthensDirección de correo verificada de di.uoa.gr
Xinyang WuResearch Associate, Fraunhofer IPADirección de correo verificada de ipa.fraunhofer.de
Mohamed El-ShamoutyResearch Engineer, Fraunhofer IPADirección de correo verificada de ipa.fraunhofer.de
Marc DeisenrothUniversity College London and The Alan Turing InstituteDirección de correo verificada de ucl.ac.uk
Alessandro LeonardiDIIT, DIEEI, University of Catania, AGT Group (R&D) GmbH, Darmstadt, AGT InternationalDirección de correo verificada de agtinternational.com
Alexander WiesmaierDarmstadt University of Applied SciencesDirección de correo verificada de h-da.de
Manuel Görtzurban mobility innovationsDirección de correo verificada de manuel-goertz.de
Marius MoosmannManager AI in Robotics at Fraunhofer IPADirección de correo verificada de ipa.fraunhofer.de
Christian LandgrafFraunhofer IPADirección de correo verificada de ipa.fraunhofer.de
Tim BaileyUniversity of SydneyDirección de correo verificada de acfr.usyd.edu.au
Hugh Durrant-WhyteUniversity of SydneyDirección de correo verificada de sydney.edu.au
Carl Edward RasmussenProfessor of Machine Learning, University of CambridgeDirección de correo verificada de cam.ac.uk
Achim KuwertzFraunhofer IOSBDirección de correo verificada de iosb.fraunhofer.de
Marcel AlbusResearch Engineer at Fraunhofer IPADirección de correo verificada de ipa.fraunhofer.de

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Marco Huber

University of Stuttgart

Dirección de correo verificada de ieee.org - Página principal

Bayesian Filtering Machine Learning Optimal Control Data Fusion Machine Vision


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
A survey on the explainability of supervised machine learning N Burkart, MF Huber Journal of Artificial Intelligence Research 70, 245-317, 2021	1001	2021
Benchmark and survey of automated machine learning frameworks MA Zöller, MF Huber Journal of artificial intelligence research 70, 409-472, 2021	447	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	354	2008
A survey on learning-based robotic grasping K Kleeberger, R Bormann, W Kraus, MF Huber Current Robotics Reports 1, 239-249, 2020	278	2020
Analytic moment-based Gaussian process filtering MP Deisenroth, MF Huber, UD Hanebeck Proceedings of the 26th annual international conference on machine learning …, 2009	183	2009
Recursive Gaussian process: On-line regression and learning MF Huber Pattern Recognition Letters 45, 85-91, 2014	162	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	155	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	151	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	135	2015
Survey on automated machine learning MA Zöller, MF Huber arXiv preprint arXiv:1904.12054 9, 2019	114	2019
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
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	111	2014
Gaussian mixture reduction via clustering D Schieferdecker, MF Huber 2009 12th international conference on information fusion, 1536-1543, 2009	95	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
Progressive Gaussian mixture reduction MF Huber, UD Hanebeck 2008 11th International Conference on Information Fusion, 1-8, 2008	85	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	80	2019
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	59	2020
Single shot 6d object pose estimation K Kleeberger, MF Huber 2020 IEEE International Conference on Robotics and Automation (ICRA), 6239-6245, 2020	55	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	48	2023

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