Christoph Lassner
Christoph Lassner
Oculus Research / Facebook Reality Labs
Bestätigte E-Mail-Adresse bei oculus.com - Startseite
TitelZitiert vonJahr
Keep it SMPL: Automatic estimation of 3D human pose and shape from a single image
F Bogo, A Kanazawa, C Lassner, P Gehler, J Romero, MJ Black
European Conference on Computer Vision, 561-578, 2016
4042016
Unite the people: Closing the loop between 3d and 2d human representations
C Lassner, J Romero, M Kiefel, F Bogo, MJ Black, PV Gehler
Proceedings of the IEEE conference on computer vision and pattern …, 2017
1262017
A generative model of people in clothing
C Lassner, G Pons-Moll, PV Gehler
Proceedings of the IEEE International Conference on Computer Vision, 853-862, 2017
1032017
Neural body fitting: Unifying deep learning and model based human pose and shape estimation
M Omran, C Lassner, G Pons-Moll, P Gehler, B Schiele
2018 international conference on 3D vision (3DV), 484-494, 2018
902018
Towards accurate marker-less human shape and pose estimation over time
Y Huang, F Bogo, C Lassner, A Kanazawa, PV Gehler, J Romero, I Akhter, ...
2017 international conference on 3D vision (3DV), 421-430, 2017
382017
Early stopping without a validation set
M Mahsereci, L Balles, C Lassner, P Hennig
arXiv preprint arXiv:1703.09580, 2017
172017
The fertilized forests Decision Forest library
C Lassner, R Lienhart
Proceedings of the 23rd ACM international conference on Multimedia, 681-684, 2015
52015
Norm-induced entropies for decision forests
C Lassner, R Lienhart
2015 IEEE Winter Conference on Applications of Computer Vision, 968-975, 2015
42015
Active learning for efficient sampling of control models of collectives
A Schiendorfer, C Lassner, G Anders, W Reif, R Lienhart
2015 IEEE 9th International Conference on Self-Adaptive and Self-Organizing …, 2015
32015
Active learning for abstract models of collectives
A Schiendorfer, C Lassner, G Anders, W Reif, R Lienhart
ARCS 2015-The 28th International Conference on Architecture of Computing …, 2015
32015
Efficient learning on point clouds with basis point sets
S Prokudin, C Lassner, J Romero
Proceedings of the IEEE International Conference on Computer Vision …, 2019
12019
An Analysis of Successful Approaches to Human Pose Estimation
C Lassner
Universität Augsburg, 2012
12012
Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations
N Rüegg, C Lassner, MJ Black, K Schindler
arXiv preprint arXiv:2001.01613, 2020
2020
Barrista: Caffe Well-Served
C Lassner, D Kappler, M Kiefel, P Gehler
Proceedings of the 24th ACM international conference on Multimedia, 1210-1213, 2016
2016
Active learning for model abstraction
A Schiendorfer, C Lassner, G Anders, W Reif, R Lienhart
2015
Methods and Applications for Distance Based ANN Training.
C Lassner, R Lienhart
ICMLA (2), 146-151, 2013
2013
Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation-Supplementary Material
M Omran, C Lassner, G Pons-Moll, PV Gehler, B Schiele
A Generative Model of People in Clothing Supplementary Material
C Lassner, G Pons-Moll, PV Gehler
Unite the People: Closing the loop between 3D and 2D Human Representations Supplementary Material
C Lassner, J Romero, M Kiefel, F Bogo, MJ Black, PV Gehler
Distance Based ANN Training
C Lassner, R Lienhart
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