Marco Huber

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Uwe D. HanebeckKarlsruhe Institute of Technology (KIT)Preverjeni e-poštni naslov na ieee.org
Werner KrausFraunhofer Institute for Manufacturing Engineering and Automation IPAPreverjeni e-poštni naslov na ipa.fraunhofer.de
Marc ZöllerUni StuttgartPreverjeni e-poštni naslov na gft.com
Richard BormannFraunhofer IPAPreverjeni e-poštni naslov na ipa.fraunhofer.de
Florian ZeigerSiemens AGPreverjeni e-poštni naslov na siemens.com
Juergen BeyererProfessor für Informatik KIT Karlsruhe und Leiter des Fraunhofer-IOSBPreverjeni e-poštni naslov na iosb.fraunhofer.de
Vangelis GazisUniversity of AthensPreverjeni e-poštni naslov na di.uoa.gr
Mohamed El-ShamoutyResearch Engineer, Fraunhofer IPAPreverjeni e-poštni naslov na ipa.fraunhofer.de
Xinyang WuResearch Group Leader, Fraunhofer IPAPreverjeni e-poštni naslov na ipa.fraunhofer.de
Marc DeisenrothUniversity College London and Google DeepMindPreverjeni e-poštni naslov na ucl.ac.uk
Marius MoosmannManager AI in Robotics at Fraunhofer IPAPreverjeni e-poštni naslov na ipa.fraunhofer.de
Alessandro LeonardiDIIT, DIEEI, University of Catania, AGT Group (R&D) GmbH, Darmstadt, AGT InternationalPreverjeni e-poštni naslov na agtinternational.com
Alexander WiesmaierDarmstadt University of Applied SciencesPreverjeni e-poštni naslov na h-da.de
Manuel Görtzurban mobility innovationsPreverjeni e-poštni naslov na manuel-goertz.de
Carl Edward RasmussenProfessor of Machine Learning, University of CambridgePreverjeni e-poštni naslov na cam.ac.uk
Christian LandgrafFraunhofer IPAPreverjeni e-poštni naslov na ipa.fraunhofer.de
Marcel AlbusResearch Engineer at Fraunhofer IPAPreverjeni e-poštni naslov na ipa.fraunhofer.de
Tim BaileyUniversity of SydneyPreverjeni e-poštni naslov na acfr.usyd.edu.au
Hugh Durrant-WhyteUniversity of SydneyPreverjeni e-poštni naslov na sydney.edu.au
Achim KuwertzFraunhofer IOSBPreverjeni e-poštni naslov na iosb.fraunhofer.de

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Marco Huber

University of Stuttgart

Preverjeni e-poštni naslov na ieee.org - Domača stran

Bayesian Filtering Machine Learning Optimal Control Data Fusion Machine Vision


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
A survey on the explainability of supervised machine learning N Burkart, MF Huber Journal of Artificial Intelligence Research 70, 245-317, 2021	1172	2021
Benchmark and survey of automated machine learning frameworks MA Zöller, MF Huber Journal of artificial intelligence research 70, 409-472, 2021	494	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	313	2020
Analytic moment-based Gaussian process filtering MP Deisenroth, MF Huber, UD Hanebeck Proceedings of the 26th annual international conference on machine learning …, 2009	187	2009
Recursive Gaussian process: On-line regression and learning MF Huber Pattern Recognition Letters 45, 85-91, 2014	172	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	163	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	140	2015
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
Survey on automated machine learning MA Zöller, MF Huber arXiv preprint arXiv:1904.12054 9, 2019	115	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	105	2008
Gaussian mixture reduction via clustering D Schieferdecker, MF Huber 2009 12th international conference on information fusion, 1536-1543, 2009	101	2009
Gaussian filter based on deterministic sampling for high quality nonlinear estimation MF Huber, UD Hanebeck IFAC Proceedings Volumes 41 (2), 13527-13532, 2008	96	2008
Progressive Gaussian mixture reduction MF Huber, UD Hanebeck 2008 11th International Conference on Information Fusion, 1-8, 2008	89	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	88	2019
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	71	2020
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
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	61	2023

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