| 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 | 957 | 2015 |
| 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 | 234 | 2015 |
| 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 | 207 | 2018 |
| 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 | 201 | 2011 |
| 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 | 162 | 2017 |
| 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 | 156 | 2017 |
| 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 | 153 | 2018 |
| 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 | 150 | 2018 |
| 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 | 129 | 2017 |
| 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 | 126 | 2018 |
| 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 | 126 | 2010 |
| 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 | 125 | 2017 |
| 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 | 120 | 2017 |
| 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 | 103 | 2018 |
| 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 | 93 | 2019 |
| Outdoor human motion capture using inverse kinematics and von mises-fisher sampling G Pons-Moll, A Baak, J Gall, L Leal-Taixe, M Mueller, HP Seidel, ... 2011 International Conference on Computer Vision, 1243-1250, 2011 | 83 | 2011 |
| 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 | 82 | 2019 |
| 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 | 77 | 2019 |
| 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 | 77 | 2016 |
| 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 | 76 | 2019 |
Michael J. BlackMax Planck Institute for Intelligent Systems and Amazon確認したメール アドレス: tuebingen.mpg.de
