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Bodo Rosenhahn
Bodo Rosenhahn
L3S Research Center / Leibniz Universität Hannover
Bestätigte E-Mail-Adresse bei tnt.uni-hannover.de
Titel
Zitiert von
Zitiert von
Jahr
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
6282018
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
5072009
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
5032009
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
3172010
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
2662014
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
2602009
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
2442011
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
2212017
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
2102019
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
1682009
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
1672018
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
1642009
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
1572021
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
1562007
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
1532013
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
1492010
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
1492010
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
1432016
Estimating body shape of dressed humans
N Hasler, C Stoll, B Rosenhahn, T Thormählen, HP Seidel
Computers & Graphics 33 (3), 211-216, 2009
1222009
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
1082020
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