| SMPL: A skinned multi-person linear model M Loper, N Mahmood, J Romero, G Pons-Moll, MJ Black Seminal Graphics Papers: Pushing the Boundaries, Volume 2, 851-866, 2023 | 4742 | 2023 |
| 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 Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 1903 | 2016 |
| A simple yet effective baseline for 3d human pose estimation J Martinez, R Hossain, J Romero, JJ Little Proceedings of the IEEE international conference on computer vision, 2640-2649, 2017 | 1810 | 2017 |
| Embodied hands: Modeling and capturing hands and bodies together J Romero, D Tzionas, MJ Black arXiv preprint arXiv:2201.02610, 2022 | 1298 | 2022 |
| Learning from synthetic humans G Varol, J Romero, X Martin, N Mahmood, MJ Black, I Laptev, C Schmid Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1198 | 2017 |
| On human motion prediction using recurrent neural networks J Martinez, MJ Black, J Romero Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1172 | 2017 |
| The grasp taxonomy of human grasp types T Feix, J Romero, HB Schmiedmayer, AM Dollar, D Kragic IEEE Transactions on human-machine systems 46 (1), 66-77, 2015 | 1137 | 2015 |
| Learning a model of facial shape and expression from 4D scans. T Li, T Bolkart, MJ Black, H Li, J Romero ACM Trans. Graph. 36 (6), 194:1-194:17, 2017 | 1072 | 2017 |
| FAUST: Dataset and evaluation for 3D mesh registration F Bogo, J Romero, M Loper, MJ Black Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 868 | 2014 |
| 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 | 666 | 2017 |
| 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 | 424 | 2017 |
| A comprehensive grasp taxonomy T Feix, R Pawlik, HB Schmiedmayer, J Romero, D Kragic Robotics, science and systems: workshop on understanding the human hand for …, 2009 | 415 | 2009 |
| 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 | 382 | 2015 |
| Visual object-action recognition: Inferring object affordances from human demonstration H Kjellström, J Romero, D Kragić Computer Vision and Image Understanding 115 (1), 81-90, 2011 | 308 | 2011 |
| Detailed full-body reconstructions of moving people from monocular RGB-D sequences F Bogo, MJ Black, M Loper, J Romero Proceedings of the IEEE international conference on computer vision, 2300-2308, 2015 | 258 | 2015 |
| 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 | 242 | 2017 |
| Assessing body image in anorexia nervosa using biometric self-avatars in virtual reality: Attitudinal components rather than visual body size estimation are distorted SC Mölbert, A Thaler, BJ Mohler, S Streuber, J Romero, MJ Black, S Zipfel, ... Psychological medicine 48 (4), 642-653, 2018 | 186 | 2018 |
| Hands in action: real-time 3D reconstruction of hands in interaction with objects J Romero, H Kjellström, D Kragic 2010 IEEE International Conference on Robotics and Automation, 458-463, 2010 | 154 | 2010 |
| Coupling adaptive batch sizes with learning rates L Balles, J Romero, P Hennig arXiv preprint arXiv:1612.05086, 2016 | 140 | 2016 |
| Efficient learning on point clouds with basis point sets S Prokudin, C Lassner, J Romero Proceedings of the IEEE International Conference on Computer Vision, 0-0, 2019 | 135 | 2019 |
Michael J. BlackMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
