Gerard Pons-Moll
Gerard Pons-Moll
Professor of Computer Science, University of Tübingen
Dirección de correo verificada de uni-tuebingen.de - Página principal
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SMPL: A skinned multi-person linear model
M Loper, N Mahmood, J Romero, G Pons-Moll, MJ Black
ACM transactions on graphics (TOG) 34 (6), 1-16, 2015
13702015
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
2722018
Dyna: A model of dynamic human shape in motion
G Pons-Moll, J Romero, N Mahmood, MJ Black
ACM Transactions on Graphics (TOG) 34 (4), 1-14, 2015
2642015
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
2632018
ClothCap: Seamless 4D clothing capture and retargeting
G Pons-Moll, S Pujades, S Hu, MJ Black
ACM Transactions on Graphics (TOG) 36 (4), 1-15, 2017
2242017
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
2122011
Video based reconstruction of 3d people models
T Alldieck, M Magnor, W Xu, C Theobalt, G Pons-Moll
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
2052018
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
1922017
Dynamic FAUST: Registering human bodies in motion
F Bogo, J Romero, G Pons-Moll, MJ Black
Proceedings of the IEEE conference on computer vision and pattern …, 2017
1872017
AMASS: Archive of motion capture as surface shapes
N Mahmood, N Ghorbani, NF Troje, G Pons-Moll, MJ Black
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1832019
Doublefusion: Real-time capture of human performances with inner body shapes from a single depth sensor
T Yu, Z Zheng, K Guo, J Zhao, Q Dai, H Li, G Pons-Moll, Y Liu
Proceedings of the IEEE conference on computer vision and pattern …, 2018
1632018
Single-shot multi-person 3d pose estimation from monocular rgb
D Mehta, O Sotnychenko, F Mueller, W Xu, S Sridhar, G Pons-Moll, ...
2018 International Conference on 3D Vision (3DV), 120-130, 2018
1602018
Detailed, accurate, human shape estimation from clothed 3D scan sequences
C Zhang, S Pujades, MJ Black, G Pons-Moll
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
1562017
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
1432017
Learning to reconstruct people in clothing from a single RGB camera
T Alldieck, M Magnor, BL Bhatnagar, C Theobalt, G Pons-Moll
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1402019
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
1322010
Tex2shape: Detailed full human body geometry from a single image
T Alldieck, G Pons-Moll, C Theobalt, M Magnor
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1302019
XNect: Real-time multi-person 3D motion capture with a single RGB camera
D Mehta, O Sotnychenko, F Mueller, W Xu, M Elgharib, P Fua, HP Seidel, ...
ACM Transactions on Graphics (TOG) 39 (4), 82: 1-82: 17, 2020
117*2020
Implicit functions in feature space for 3d shape reconstruction and completion
J Chibane, T Alldieck, G Pons-Moll
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1032020
Livecap: Real-time human performance capture from monocular video
M Habermann, W Xu, M Zollhoefer, G Pons-Moll, C Theobalt
ACM Transactions On Graphics (TOG) 38 (2), 1-17, 2019
1022019
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20