| 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 | 390 | 2016 |
| 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 | 122 | 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 | 97 | 2017 |
| 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 | 84 | 2018 |
| 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 | 37 | 2017 |
| Early stopping without a validation set M Mahsereci, L Balles, C Lassner, P Hennig arXiv preprint arXiv:1703.09580, 2017 | 17 | 2017 |
| The fertilized forests Decision Forest library C Lassner, R Lienhart Proceedings of the 23rd ACM international conference on Multimedia, 681-684, 2015 | 5 | 2015 |
| Norm-induced entropies for decision forests C Lassner, R Lienhart 2015 IEEE Winter Conference on Applications of Computer Vision, 968-975, 2015 | 4 | 2015 |
| 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 | 3 | 2015 |
| 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 | 3 | 2015 |
| 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 | 1 | 2019 |
| An Analysis of Successful Approaches to Human Pose Estimation C Lassner Universität Augsburg, 2012 | 1 | 2012 |
| 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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