Klaus Diepold

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Christian KeimelResearch Project Leader AI, AirbusVerified email at tum.de
Michel SarkisPrincipal R&D Engineer/Mgr. , Qualcomm Technologies Inc.Verified email at qti.qualcomm.com
Julian HabigtResearch Assistant, Institute for Data Processing, Technische Universität MünchenVerified email at tum.de
Hao Shenfortiss GmbH/TUMVerified email at tum.de
Simon HaweTechnische Universität MünchenVerified email at tum.de
Tim HabigtPhD candidate, Institute for Data Processing, Technische Universität MünchenVerified email at tum.de
Johannes FeldmaierResearch Assistant, Technische Universität MünchenVerified email at tum.de
Patrick M. PilarskiDeepMind, Amii, and University of AlbertaVerified email at ualberta.ca
Clemens HorchFraunhofer Institute for High-Speed Dynamics, Ernst-Mach-Institut, EMIVerified email at emi.fraunhofer.de
Martin KleinsteuberCIO & Lead Data Scientist, Mercateo AG, MunichVerified email at tum.de
Phuoc Tran-GiaChair of Communication Networks, University of WuerzburgVerified email at informatik.uni-wuerzburg.de
Tobias HossfeldUniversity of WürzburgVerified email at informatik.uni-wuerzburg.de
Matthias HirthTU IlmenauVerified email at tu-ilmenau.de
Bruno GardloExpert AdvisorVerified email at ait.ac.at
Arne RedlVerified email at tum.de
Knut HüperInstitute of Mathematics, University Würzburg, GermanyVerified email at mathematik.uni-wuerzburg.de
Dominik MeyerTUM, MunichVerified email at tum.de
Sebastian SchuonEntrepreneur, former Stanford, TU MunichVerified email at cs.stanford.edu
Michael BeetzIntitute for Artificial Intelligence, Computer Science Department, University of BremenVerified email at cs.uni-bremen.de
Kristina SheaProfessor of Engineering Design and Computing, Mechanical and Process Engineering, ETH ZurichVerified email at ethz.ch

Klaus Diepold

Technical University of Munich, Dept. Electrical and Computer Engineering

Verified email at tum.de

Multimedia Signal Processing Machine Learning Affective Computing Moral Machines


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Best practices for QoE crowdtesting: QoE assessment with crowdsourcing T Hoßfeld, C Keimel, M Hirth, B Gardlo, J Habigt, K Diepold, P Tran-Gia IEEE Transactions on Multimedia 16 (2), 541-558, 2013	295	2013
Analysis operator learning and its application to image reconstruction S Hawe, M Kleinsteuber, K Diepold IEEE Transactions on Image Processing 22 (6), 2138-2150, 2013	175	2013
Intelligent laser welding through representation, prediction, and control learning: An architecture with deep neural networks and reinforcement learning J Günther, PM Pilarski, G Helfrich, H Shen, K Diepold Mechatronics 34, 1-11, 2016	137	2016
Artificial cognition in production systems A Bannat, T Bautze, M Beetz, J Blume, K Diepold, C Ertelt, F Geiger, ... IEEE Transactions on automation science and engineering 8 (1), 148-174, 2010	137	2010
Qualitycrowd—a framework for crowd-based quality evaluation C Keimel, J Habigt, C Horch, K Diepold 2012 Picture coding symposium, 245-248, 2012	112	2012
Dense disparity maps from sparse disparity measurements S Hawe, M Kleinsteuber, K Diepold 2011 International Conference on Computer Vision, 2126-2133, 2011	106	2011
Surveillance video camera enhancement system S Edelson, K Diepold US Patent App. 09/985,544, 2002	90	2002
Multi-agent deep reinforcement learning: a survey S Gronauer, K Diepold Artificial Intelligence Review 55 (2), 895-943, 2022	86	2022
First steps towards an intelligent laser welding architecture using deep neural networks and reinforcement learning J Günther, PM Pilarski, G Helfrich, H Shen, K Diepold Procedia Technology 15, 474-483, 2014	85	2014
A new method for binaural 3-D localization based on HRTFs F Keyrouz, Y Naous, K Diepold 2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006	80	2006
An enhanced binaural 3D sound localization algorithm F Keyrouz, K Diepold 2006 IEEE International Symposium on Signal Processing and Information …, 2006	54	2006
Step detection and parameterization for gait assessment using a single waist-worn accelerometer C Soaz, K Diepold IEEE Transactions on Biomedical Engineering 63 (5), 933-942, 2015	48	2015
Depth map compression via compressed sensing M Sarkis, K Diepold 2009 16th IEEE International Conference on Image Processing (ICIP), 737-740, 2009	48	2009
Comparison of motion de-blur algorithms and real world deployment S Schuon, K Diepold Acta Astronautica 64 (11-12), 1050-1065, 2009	48	2009
The TUM high definition video datasets C Keimel, A Redl, K Diepold 2012 Fourth international workshop on quality of multimedia experience, 97-102, 2012	47	2012
No-reference video quality metric for HDTV based on H. 264/AVC bitstream features C Keimel, M Klimpke, J Habigt, K Diepold 2011 18th IEEE International Conference on Image Processing, 3325-3328, 2011	47	2011
No-reference video quality evaluation for high-definition video C Keimel, T Oelbaum, K Diepold 2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009	47	2009
Rule-based no-reference video quality evaluation using additionally coded videos T Oelbaum, C Keimel, K Diepold IEEE Journal of selected topics in signal processing 3 (2), 294-303, 2009	42	2009
A new HRTF interpolation approach for fast synthesis of dynamic environmental interaction F Keyrouz, K Diepold Journal of the Audio Engineering Society 56 (1/2), 28-35, 2008	42	2008
Challenges in crowd-based video quality assessment C Keimel, J Habigt, K Diepold 2012 Fourth International Workshop on Quality of Multimedia Experience, 13-18, 2012	40	2012

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