Christian Plagemann

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Wolfram BurgardProfessor of Computer Science, University of FreiburgAdresse e-mail validée de informatik.uni-freiburg.de
Kristian KerstingProfessor of Artificial Intelligence and Machine Learning, hessian.ai, TU Darmstadt, GermanyAdresse e-mail validée de cs.tu-darmstadt.de
Varun GanapathiStanford UniversityAdresse e-mail validée de cs.stanford.edu
Cyrill StachnissProfessor for Photogrammetry & Robotics, University of BonnAdresse e-mail validée de igg.uni-bonn.de
Daphne KollerCEO and Founder, insitroAdresse e-mail validée de insitro.com
Jürgen SturmRobotics at Google/XAdresse e-mail validée de jsturm.de
Luc De Raedtprofessor, KU LeuvenAdresse e-mail validée de cs.kuleuven.be
Achim J. LilienthalProfessor of Computer Science, AASS Mobile Robotics and Olfaction Lab, Örebro University, SwedenAdresse e-mail validée de oru.se
Nicholas RoyMITAdresse e-mail validée de csail.mit.edu
Dominik JohoKUKAAdresse e-mail validée de informatik.uni-freiburg.de
Vijay PradeepVirtana, Inc.Adresse e-mail validée de virtanatech.com
Jongmin BaekStanford UniversityAdresse e-mail validée de cs.stanford.edu
Fernando SecoLopsi group, CSICAdresse e-mail validée de csic.es
Rudolph TriebelDLR and Technical University MunichAdresse e-mail validée de in.tum.de
Roland SiegwartProfessor of Robotics, ETH Zurich, SwitzerlandAdresse e-mail validée de ethz.ch
Dieter FoxUniversity of Washington and NVIDIAAdresse e-mail validée de cs.washington.edu
Slawomir Sander aka Slawomir GrzonkaPostDoc at Autonomous Intelligent Systems lab, University of FreiburgAdresse e-mail validée de informatik.uni-freiburg.de
Matthias LuberUniversity of FreiburgAdresse e-mail validée de informatik.uni-freiburg.de
Kai O. ArrasHead of Robotics Research, Bosch Corporate ResearchAdresse e-mail validée de cs.uni-freiburg.de
Georg von WichertSiemens Corporate TechnologyAdresse e-mail validée de siemens.com

Christian Plagemann

Google Research

Adresse e-mail validée de google.com - Page d'accueil

Computer Vision Machine Learning HCI Robotics


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Real time motion capture using a single time-of-flight camera V Ganapathi, C Plagemann, D Koller, S Thrun 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010	498	2010
Real-time identification and localization of body parts from depth images C Plagemann, V Ganapathi, D Koller, S Thrun 2010 IEEE International Conference on Robotics and Automation, 3108-3113, 2010	385	2010
Most likely heteroscedastic Gaussian process regression K Kersting, C Plagemann, P Pfaff, W Burgard Proceedings of the 24th international conference on Machine learning, 393-400, 2007	309	2007
Modeling RFID signal strength and tag detection for localization and mapping D Joho, C Plagemann, W Burgard 2009 IEEE International Conference on Robotics and Automation, 3160-3165, 2009	206	2009
Upsampling range data in dynamic environments J Dolson, J Baek, C Plagemann, S Thrun 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010	185	2010
Real-time human pose tracking from range data V Ganapathi, C Plagemann, D Koller, S Thrun European conference on computer vision, 738-751, 2012	172	2012
Probabilistic situation recognition for vehicular traffic scenarios D Meyer-Delius, C Plagemann, W Burgard 2009 IEEE International Conference on Robotics and Automation, 459-464, 2009	96	2009
Nonstationary Gaussian process regression using point estimates of local smoothness C Plagemann, K Kersting, W Burgard Joint European Conference on Machine Learning and Knowledge Discovery in …, 2008	95	2008
Adaptive Non-Stationary Kernel Regression for Terrain Modeling. T Lang, C Plagemann, W Burgard Robotics: Science and Systems 6, 2007	91	2007
Supplementing speech commands with gestures B Smus, AJ Kauffmann, C Plagemann US Patent 9,390,726, 2016	88	2016
Improving RFID-based indoor positioning accuracy using Gaussian processes F Seco, C Plagemann, AR Jiménez, W Burgard 2010 International Conference on Indoor Positioning and Indoor Navigation, 1-8, 2010	85	2010
Learning predictive terrain models for legged robot locomotion C Plagemann, S Mischke, S Prentice, K Kersting, N Roy, W Burgard 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2008	84	2008
Unsupervised discovery of object classes from range data using latent Dirichlet allocation. F Endres, C Plagemann, C Stachniss, W Burgard Robotics: Science and Systems 2, 113120, 2009	80	2009
Learning gas distribution models using sparse Gaussian process mixtures C Stachniss, C Plagemann, AJ Lilienthal Autonomous Robots 26 (2), 187-202, 2009	72	2009
A probabilistic approach to mixed open-loop and closed-loop control, with application to extreme autonomous driving JZ Kolter, C Plagemann, DT Jackson, AY Ng, S Thrun 2010 IEEE International Conference on Robotics and Automation, 839-845, 2010	71	2010
Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders. C Plagemann, K Kersting, P Pfaff, W Burgard Robotics: Science and Systems, 2007	64	2007
Body schema learning for robotic manipulators from visual self-perception J Sturm, C Plagemann, W Burgard Journal of Physiology-Paris 103 (3-5), 220-231, 2009	63	2009
Efficient Failure Detection on Mobile Robots Using Particle Filters with Gaussian Process Proposals. C Plagemann, D Fox, W Burgard IJCAI, 2185-2190, 2007	62	2007
Autonomous blimp control using model-free reinforcement learning in a continuous state and action space A Rottmann, C Plagemann, P Hilgers, W Burgard 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2007	51	2007
Learning Kinematic Models for Articulated Objects. J Sturm, V Pradeep, C Stachniss, C Plagemann, K Konolige, W Burgard IJCAI, 1851-1856, 2009	50	2009

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