Christian Plagemann

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Wolfram BurgardProfessor of Computer Science, Technical University of NurembergPreverjeni e-poštni naslov na utn.de
Varun GanapathiStanford UniversityPreverjeni e-poštni naslov na cs.stanford.edu
Cyrill StachnissProfessor for Photogrammetry & Robotics, University of BonnPreverjeni e-poštni naslov na igg.uni-bonn.de
Kristian KerstingProfessor of AI & ML, Technical University of Darmstadt, Hessian.ai/DFKI, CAIRNE/ELLIS, AAAI FellowPreverjeni e-poštni naslov na cs.tu-darmstadt.de
Daphne KollerCEO and Founder, insitroPreverjeni e-poštni naslov na insitro.com
Jürgen SturmSenior Staff Software Engineering Manager at Intrinsic, an Alphabet companyPreverjeni e-poštni naslov na jsturm.de
Achim J. LilienthalFull Professor & MIRMI Deputy Director at TU MunichPreverjeni e-poštni naslov na tum.de
Nicholas RoyMITPreverjeni e-poštni naslov na csail.mit.edu
Dominik JohoKUKAPreverjeni e-poštni naslov na kuka.com
Jongmin BaekStanford UniversityPreverjeni e-poštni naslov na cs.stanford.edu
Luc De Raedtprofessor, KU Leuven & guestprofessor, Örebro UniversityPreverjeni e-poštni naslov na cs.kuleuven.be
Fernando SecoLopsi group, Center for Automation and Robotics, CAR (CSIC-UPM)Preverjeni e-poštni naslov na csic.es
Slawomir Sander aka Slawomir GrzonkaPostDoc at Autonomous Intelligent Systems lab, University of FreiburgPreverjeni e-poštni naslov na informatik.uni-freiburg.de
Dieter FoxUniversity of Washington and NVIDIAPreverjeni e-poštni naslov na cs.washington.edu
Matthias LuberUniversity of FreiburgPreverjeni e-poštni naslov na informatik.uni-freiburg.de
Kai O. ArrasProfessor of Autonomous SystemsPreverjeni e-poštni naslov na ki.uni-stuttgart.de
Georg von WichertSiemens TechnologyPreverjeni e-poštni naslov na siemens.com
Rudolph TriebelGerman Aerospace Center (DLR) and Karlsruhe Institute of Technology (KIT)Preverjeni e-poštni naslov na kit.edu
Roland SiegwartProfessor of Robotics, ETH Zurich, SwitzerlandPreverjeni e-poštni naslov na ethz.ch
Ulrich Reiser4am Robotics GmbHPreverjeni e-poštni naslov na 4am-robotics.com

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Christian Plagemann

Google Research

Preverjeni e-poštni naslov na google.com - Domača stran

Computer Vision Machine Learning HCI Robotics


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
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	573	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	473	2007
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	418	2010
Supplementing speech commands with gestures B Smus, AJ Kauffmann, C Plagemann US Patent 9,390,726, 2016	269	2016
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	230	2009
Real-time human pose tracking from range data V Ganapathi, C Plagemann, D Koller, S Thrun Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012	205	2012
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	201	2010
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	128	2008
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	125	2009
Adaptive Non-Stationary Kernel Regression for Terrain Modeling. T Lang, C Plagemann, W Burgard Robotics: Science and Systems 6, 2007	118	2007
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	106	2010
Virtual touch user interface system and methods C Plagemann, H Dahlkamp, V Ganapathi US Patent App. 13/758,761, 2015	105	2015
Learning gas distribution models using sparse Gaussian process mixtures C Stachniss, C Plagemann, AJ Lilienthal Autonomous Robots 26, 187-202, 2009	102	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	101	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	100	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	90	2009
Self-initiated change of appearance for subjects in video and images AJ Kauffmann, C Plagemann US Patent 9,460,340, 2016	79	2016
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	76	2009
Virtual/augmented reality transition system and method LG Gil, C Plagemann, AJ Faaborg, J Weaver, M Simonian, G Murphy, ... US Patent 10,055,887, 2018	72	2018
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	68	2007

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