| 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 | 1071 | 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 | 386 | 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 | 339 | 2018 |
| 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 | 225 | 2017 |
| 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 | 146 | 2017 |
| Arch: Animatable reconstruction of clothed humans Z Huang, Y Xu, C Lassner, H Li, T Tung Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 115 | 2020 |
| Non-rigid neural radiance fields: Reconstruction and novel view synthesis of a dynamic scene from monocular video E Tretschk, A Tewari, V Golyanik, M Zollhöfer, C Lassner, C Theobalt Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 82 | 2021 |
| Early stopping without a validation set M Mahsereci, L Balles, C Lassner, P Hennig arXiv preprint arXiv:1703.09580, 2017 | 61 | 2017 |
| 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 | 42 | 2019 |
| Pulsar: Efficient sphere-based neural rendering C Lassner, M Zollhofer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 36* | 2021 |
| Advances in neural rendering A Tewari, J Thies, B Mildenhall, P Srinivasan, E Tretschk, W Yifan, ... Computer Graphics Forum 41 (2), 703-735, 2022 | 32 | 2022 |
| Neural 3D Video Synthesis From Multi-View Video T Li, M Slavcheva, M Zollhoefer, S Green, C Lassner, C Kim, T Schmidt, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 27 | 2022 |
| Anr: Articulated neural rendering for virtual avatars A Raj, J Tanke, J Hays, M Vo, C Stoll, C Lassner Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 21 | 2021 |
| Texmesh: Reconstructing detailed human texture and geometry from rgb-d video T Zhi, C Lassner, T Tung, C Stoll, SG Narasimhan, M Vo European Conference on Computer Vision, 492-509, 2020 | 20 | 2020 |
| Chained representation cycling: Learning to estimate 3D human pose and shape by cycling between representations N Rueegg, C Lassner, M Black, K Schindler Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5561-5569, 2020 | 11 | 2020 |
| Accelerating 3d deep learning with pytorch3d J Johnson, N Ravi, J Reizenstein, D Novotny, S Tulsiani, C Lassner, ... SIGGRAPH Asia 2020 Courses, 1-1, 2020 | 8 | 2020 |
| The fertilized forests Decision Forest library C Lassner, R Lienhart Proceedings of the 23rd ACM international conference on Multimedia, 681-684, 2015 | 6 | 2015 |
| Norm-induced entropies for decision forests C Lassner, R Lienhart 2015 IEEE Winter Conference on Applications of Computer Vision, 968-975, 2015 | 5 | 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 |
Peter GehlerAmazonVerified email at amazon.com
