| Physcap: Physically plausible monocular 3d motion capture in real time S Shimada, V Golyanik, W Xu, C Theobalt ACM Transactions on Graphics (ToG) 39 (6), 1-16, 2020 | 146 | 2020 |
| Physical inertial poser (pip): Physics-aware real-time human motion tracking from sparse inertial sensors X Yi, Y Zhou, M Habermann, S Shimada, V Golyanik, C Theobalt, F Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 104 | 2022 |
| Neural Monocular 3D Human Motion Capture with Physical Awareness S Shimada, V Golyanik, W Xu, P Pérez, C Theobalt ACM Transactions on Graphics (TOG) 40 (4), 1-15, 2021 | 76 | 2021 |
| Handvoxnet: Deep voxel-based network for 3d hand shape and pose estimation from a single depth map J Malik, I Abdelaziz, A Elhayek, S Shimada, SA Ali, V Golyanik, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 75 | 2020 |
| Hdm-net: Monocular non-rigid 3d reconstruction with learned deformation model V Golyanik, S Shimada, K Varanasi, D Stricker Virtual Reality and Augmented Reality: 15th EuroVR International Conference …, 2018 | 37 | 2018 |
| Ismo-gan: Adversarial learning for monocular non-rigid 3d reconstruction S Shimada, V Golyanik, C Theobalt, D Stricker Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 35 | 2019 |
| Dispvoxnets: Non-rigid point set alignment with supervised learning proxies S Shimada, V Golyanik, E Tretschk, D Stricker, C Theobalt 2019 international conference on 3D vision (3DV), 27-36, 2019 | 26 | 2019 |
| Gravity-aware monocular 3d human-object reconstruction R Dabral, S Shimada, A Jain, C Theobalt, V Golyanik Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 24 | 2021 |
| Unrealego: A new dataset for robust egocentric 3d human motion capture H Akada, J Wang, S Shimada, M Takahashi, C Theobalt, V Golyanik European Conference on Computer Vision, 1-17, 2022 | 22 | 2022 |
| Hulc: 3d human motion capture with pose manifold sampling and dense contact guidance S Shimada, V Golyanik, Z Li, P Pérez, W Xu, C Theobalt European Conference on Computer Vision, 516-533, 2022 | 19 | 2022 |
| Handvoxnet++: 3d hand shape and pose estimation using voxel-based neural networks J Malik, S Shimada, A Elhayek, SA Ali, C Theobalt, V Golyanik, D Stricker IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 8962 …, 2021 | 16 | 2021 |
| Mocapdeform: Monocular 3d human motion capture in deformable scenes Z Li, S Shimada, B Schiele, C Theobalt, V Golyanik 2022 International Conference on 3D Vision (3DV), 1-11, 2022 | 13 | 2022 |
| Unbiased 4d: Monocular 4d reconstruction with a neural deformation model E Johnson, M Habermann, S Shimada, V Golyanik, C Theobalt Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 9 | 2023 |
| Macs: Mass conditioned 3d hand and object motion synthesis S Shimada, F Mueller, J Bednarik, B Doosti, B Bickel, D Tang, V Golyanik, ... arXiv preprint arXiv:2312.14929, 2023 | 3 | 2023 |
| Decaf: Monocular deformation capture for face and hand interactions S Shimada, V Golyanik, P Pérez, C Theobalt ACM Transactions on Graphics (TOG) 42 (6), 1-16, 2023 | 2 | 2023 |
| Fast simultaneous gravitational alignment of multiple point sets V Golyanik, S Shimada, C Theobalt 2020 International Conference on 3D Vision (3DV), 91-100, 2020 | 1 | 2020 |
| Physically plausible 3D human motion capture and synthesis with interactions S Shimada Saarländische Universitäts-und Landesbibliothek, 2024 | | 2024 |
| Unbiased 4D: Monocular 4D Reconstruction with a Neural Deformation Model–Supplemental Document– ECM Johnson, M Habermann, S Shimada, V Golyanik, C Theobalt | | |
| 3DV 2022 Z Li, S Shimada, B Schiele | | |
| Physical Inertial Poser (PIP): Physics-aware Real-time Human Motion Tracking from Sparse Inertial Sensors-Supplementary Material X Yi, Y Zhou, M Habermann, S Shimada, V Golyanik, C Theobalt, F Xu | | |
