Peter Gehler
Peter Gehler
Amazon Web Services
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TitelZitiert vonJahr
On feature combination for multiclass object classification
P Gehler, S Nowozin
International Conference on Computer Vision (ICCV), 221-228, 2009
9532009
2d human pose estimation: New benchmark and state of the art analysis
M Andriluka, L Pishchulin, P Gehler, B Schiele
Computer Vision and Pattern Recognition (CVPR), 3686-3693, 2014
8642014
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation
L Pishchulin, E Insafutdinov, S Tang, B Andres, M Andriluka, P Gehler, ...
Conference on Computer Vision and Pattern Recognition (CVPR), 2016
4152016
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 (ECCV), 561-578, 2016
4072016
Bayesian color constancy revisited
PV Gehler, C Rother, A Blake, T Minka, T Sharp
Computer Vision and Pattern Recognition (CVPR), 2008
3362008
Poselet Conditioned Pictorial Structures
L Pishchulin, M Andriluka, P Gehler, B Schiele
Computer Vision and Pattern Recognition (CVPR), 2013
2572013
Teaching 3d geometry to deformable part models
B Pepik, M Stark, P Gehler, B Schiele
2012 IEEE conference on computer vision and pattern recognition, 3362-3369, 2012
2472012
Strong Appearance and Expressive Spatial Models for Human Pose Estimation
L Pishchulin, M Andriluka, P Gehler, B Schiele
International Conference on Computer Vision (ICCV), 2013
1822013
The rate adapting poisson model for information retrieval and object recognition
PV Gehler, AD Holub, M Welling
International Conference on Machine Learning (ICML), 337-344, 2006
1322006
Unite the people: Closing the loop between 3d and 2d human representations
C Lassner, J Romero, M Kiefel, F Bogo, MJ Black, PV Gehler
Conference on Computer Vision and Pattern Recognition (CVPR) 2, 3, 2017
1262017
Occlusion Patterns for Object Class Detection
B Pepik, M Stark, P Gehler, B Schiele
Computer Vision and Pattern Recognition (CVPR), 2013
1232013
Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance
PV Gehler, C Rother, M Kiefel, L Zhang, B Schölkopf
Advances in Neural Information Processing Systems (NIPS), 765--773, 2011
122*2011
Deterministic annealing for multiple-instance learning
P Gehler, O Chapelle
Artificial Intelligence and Statistics (AIStats), 2007
1132007
Video propagation networks
V Jampani, R Gadde, PV Gehler
Computer Vision and Pattern Recognition (CVPR), 2017
1122017
On parameter learning in CRF-based approaches to object class image segmentation
S Nowozin, PV Gehler, CH Lampert
European conference on computer vision (ECCV), 98-111, 2010
1052010
A generative model of people in clothing
C Lassner, G Pons-Moll, PV Gehler
International Conference on Computer Vision (ICCV) 6, 2017
1032017
3d2pm–3d deformable part models
B Pepik, P Gehler, M Stark, B Schiele
European Conference on Computer Vision (ECCV), 356-370, 2012
982012
Infinite kernel learning
PV Gehler, S Nowozin
Max Planck Institute for Biological Cybernetics, 2008
972008
Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks
V Jampani, M Kiefel, PV Gehler
Conference on Computer Vision and Pattern Recognition (CVPR), 2016
942016
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
International Conference on 3D Vision (3DV), 484-494, 2018
902018
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