Bodo Rosenhahn

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Hans-Peter SeidelProfessor of Computer Science, Max Planck Institute for Informatics, Saarland Informatics CampusEmail confirmado em mpi-inf.mpg.de
Michael Ying YangUniversity of TwenteEmail confirmado em utwente.nl
Laura Leal-TaixéSenior Research Manager at NVIDIA. Prev. Prof. TU MunichEmail confirmado em tum.de
Gerard Pons-MollProfessor of Computer Science, University of TübingenEmail confirmado em uni-tuebingen.de
Thomas BroxUniversity of Freiburg and AmazonEmail confirmado em cs.uni-freiburg.de
Hanno AckermannQualcomm AI ResearchEmail confirmado em qti.qualcomm.com
Bastian WandtAssistant Professor at Linköping UniversityEmail confirmado em liu.se
Juergen GallUniversity of BonnEmail confirmado em iai.uni-bonn.de
Jörn OstermannLeibniz Universität HannoverEmail confirmado em tnt.uni-hannover.de
Roberto HenschelPicsart AI Research (PAIR)Email confirmado em tnt.uni-hannover.de
Daniel CremersTechnical University of MunichEmail confirmado em tum.de
Nils HaslerThe CapturyEmail confirmado em mpi-inf.mpg.de
Joachim WeickertProfessor of Mathematics and Computer Science, Saarland UniversityEmail confirmado em mia.uni-saarland.de
Alina KuznetsovaEmail confirmado em google.com
Carsten StollEpic GamesEmail confirmado em motionin.space
Dr. Florian BaumannAptiv PlcEmail confirmado em aptiv.com
Kai CordesVISCODA GmbHEmail confirmado em viscoda.com
Meinard MüllerInternational Audio Laboratories Erlangen, Friedrich-Alexander-Universität Erlangen-NürnbergEmail confirmado em audiolabs-erlangen.de
Christian TheobaltProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityEmail confirmado em mpi-inf.mpg.de
Ralf DragonComputer Vision LabEmail confirmado em vision.ee.ethz.ch

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Bodo Rosenhahn

L3S Research Center / Leibniz Universität Hannover

Email confirmado em tnt.uni-hannover.de

Computer Vision Image Processing Machine Learning Biology Medicine


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Recovering accurate 3d human pose in the wild using imus and a moving camera T Von Marcard, R Henschel, MJ Black, B Rosenhahn, G Pons-Moll Proceedings of the European conference on computer vision (ECCV), 601-617, 2018	787	2018
Motion capture using joint skeleton tracking and surface estimation J Gall, C Stoll, E De Aguiar, C Theobalt, B Rosenhahn, HP Seidel 2009 IEEE Conference on Computer Vision and Pattern Recognition, 1746-1753, 2009	523	2009
A statistical model of human pose and body shape N Hasler, C Stoll, M Sunkel, B Rosenhahn, HP Seidel Computer graphics forum 28 (2), 337-346, 2009	515	2009
Optimization and filtering for human motion capture: A multi-layer framework J Gall, B Rosenhahn, T Brox, HP Seidel International journal of computer vision 87, 75-92, 2010	322	2010
Learning an image-based motion context for multiple people tracking L Leal-Taixé, M Fenzi, A Kuznetsova, B Rosenhahn, S Savarese Proceedings of the IEEE conference on computer vision and pattern …, 2014	277	2014
Markerless motion capture with unsynchronized moving cameras N Hasler, B Rosenhahn, T Thormahlen, M Wand, J Gall, HP Seidel 2009 IEEE Conference on Computer Vision and Pattern Recognition, 224-231, 2009	266	2009
Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker L Leal-Taixé, G Pons-Moll, B Rosenhahn 2011 IEEE international conference on computer vision workshops (ICCV …, 2011	252	2011
Sparse inertial poser: Automatic 3d human pose estimation from sparse imus T Von Marcard, B Rosenhahn, MJ Black, G Pons‐Moll Computer graphics forum 36 (2), 349-360, 2017	251	2017
Repnet: Weakly supervised training of an adversarial reprojection network for 3d human pose estimation B Wandt, B Rosenhahn Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	240	2019
Same same but differnet: Semi-supervised defect detection with normalizing flows M Rudolph, B Wandt, B Rosenhahn Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021	228	2021
Fusion of head and full-body detectors for multi-object tracking R Henschel, L Leal-Taixé, D Cremers, B Rosenhahn Proceedings of the IEEE conference on computer vision and pattern …, 2018	175	2018
Complementary optic flow H Zimmer, A Bruhn, J Weickert, L Valgaerts, A Salgado, B Rosenhahn, ... Energy Minimization Methods in Computer Vision and Pattern Recognition: 7th …, 2009	173	2009
Combined region and motion-based 3D tracking of rigid and articulated objects T Brox, B Rosenhahn, J Gall, D Cremers IEEE transactions on pattern analysis and machine intelligence 32 (3), 402-415, 2009	168	2009
Real-time sign language recognition using a consumer depth camera A Kuznetsova, L Leal-Taixé, B Rosenhahn Proceedings of the IEEE international conference on computer vision …, 2013	166	2013
Three-dimensional shape knowledge for joint image segmentation and pose tracking B Rosenhahn, T Brox, J Weickert International Journal of Computer Vision 73, 243-262, 2007	160	2007
Human pose estimation from video and imus T Von Marcard, G Pons-Moll, B Rosenhahn IEEE transactions on pattern analysis and machine intelligence 38 (8), 1533-1547, 2016	155	2016
Multilinear pose and body shape estimation of dressed subjects from image sets N Hasler, H Ackermann, B Rosenhahn, T Thormählen, HP Seidel 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010	153	2010
Multisensor-fusion for 3d full-body human motion capture G Pons-Moll, A Baak, T Helten, M Müller, HP Seidel, B Rosenhahn 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010	153	2010
Lifted disjoint paths with application in multiple object tracking A Hornakova, R Henschel, B Rosenhahn, P Swoboda International Conference on Machine Learning, 4364-4375, 2020	130	2020
Estimating body shape of dressed humans N Hasler, C Stoll, B Rosenhahn, T Thormählen, HP Seidel Computers & Graphics 33 (3), 211-216, 2009	122	2009

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