| Monocular 3d human pose estimation in the wild using improved cnn supervision D Mehta, H Rhodin, D Casas, P Fua, O Sotnychenko, W Xu, C Theobalt 2017 international conference on 3D vision (3DV), 506-516, 2017 | 1529 | 2017 |
| Vnect: Real-time 3d human pose estimation with a single rgb camera D Mehta, S Sridhar, O Sotnychenko, H Rhodin, M Shafiei, HP Seidel, ... Acm transactions on graphics (tog) 36 (4), 1-14, 2017 | 1409 | 2017 |
| A-nerf: Articulated neural radiance fields for learning human shape, appearance, and pose SY Su, F Yu, M Zollhöfer, H Rhodin Advances in neural information processing systems 34, 12278-12291, 2021 | 455* | 2021 |
| XNect: Real-time multi-person 3D motion capture with a single RGB camera D Mehta, O Sotnychenko, F Mueller, W Xu, M Elgharib, P Fua, HP Seidel, ... Acm Transactions On Graphics (TOG) 39 (4), 82: 1-82: 17, 2020 | 454* | 2020 |
| Learning monocular 3d human pose estimation from multi-view images H Rhodin, J Spörri, I Katircioglu, V Constantin, F Meyer, E Müller, ... Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 322 | 2018 |
| Unsupervised geometry-aware representation for 3d human pose estimation H Rhodin, M Salzmann, P Fua Proceedings of the European conference on computer vision (ECCV), 750-767, 2018 | 321 | 2018 |
| Monoperfcap: Human performance capture from monocular video W Xu, A Chatterjee, M Zollhöfer, H Rhodin, D Mehta, HP Seidel, ... ACM Transactions on Graphics (ToG) 37 (2), 1-15, 2018 | 298 | 2018 |
| DeepFly3D, a deep learning-based approach for 3D limb and appendage tracking in tethered, adult Drosophila S Günel, H Rhodin, D Morales, J Campagnolo, P Ramdya, P Fua Elife 8, e48571, 2019 | 208 | 2019 |
| Mo2Cap2: Real-time Mobile 3D Motion Capture with a Cap-mounted Fisheye Camera W Xu, A Chatterjee, M Zollhoefer, H Rhodin, P Fua, HP Seidel, C Theobalt IEEE transactions on visualization and computer graphics 25 (5), 2093-2101, 2019 | 204 | 2019 |
| Egocap: egocentric marker-less motion capture with two fisheye cameras H Rhodin, C Richardt, D Casas, E Insafutdinov, M Shafiei, HP Seidel, ... ACM Transactions on Graphics (TOG) 35 (6), 1-11, 2016 | 195 | 2016 |
| Canonpose: Self-supervised monocular 3d human pose estimation in the wild B Wandt, M Rudolph, P Zell, H Rhodin, B Rosenhahn Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 163 | 2021 |
| General automatic human shape and motion capture using volumetric contour cues H Rhodin, N Robertini, D Casas, C Richardt, HP Seidel, C Theobalt European conference on computer vision, 509-526, 2016 | 139 | 2016 |
| A versatile scene model with differentiable visibility applied to generative pose estimation H Rhodin, N Robertini, C Richardt, HP Seidel, C Theobalt Proceedings of the IEEE international conference on computer vision, 765-773, 2015 | 121 | 2015 |
| LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals A Gosztolai, S Günel, V Lobato-Ríos, M Pietro Abrate, D Morales, ... Nature methods 18 (8), 975-981, 2021 | 108 | 2021 |
| Real-time hand tracking using a sum of anisotropic gaussians model S Sridhar, H Rhodin, HP Seidel, A Oulasvirta, C Theobalt 2014 2nd International Conference on 3D Vision 1, 319-326, 2014 | 90 | 2014 |
| A three-dimensional virtual mouse generates synthetic training data for behavioral analysis LA Bolaños, D Xiao, NL Ford, JM LeDue, PK Gupta, C Doebeli, H Hu, ... Nature methods 18 (4), 378-381, 2021 | 82 | 2021 |
| Elepose: Unsupervised 3d human pose estimation by predicting camera elevation and learning normalizing flows on 2d poses B Wandt, JJ Little, H Rhodin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 71 | 2022 |
| Monocular 3d human pose estimation using transfer learning and improved CNN supervision D Mehta, H Rhodin, D Casas, O Sotnychenko, W Xu, C Theobalt arXiv preprint arXiv:1611.09813 1 (3), 5, 2016 | 66 | 2016 |
| Interactive motion mapping for real‐time character control H Rhodin, J Tompkin, K In Kim, K Varanasi, HP Seidel, C Theobalt Computer Graphics Forum 33 (2), 273-282, 2014 | 66 | 2014 |
| Adaptpose: Cross-dataset adaptation for 3d human pose estimation by learnable motion generation M Gholami, B Wandt, H Rhodin, R Ward, ZJ Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 63 | 2022 |
Pascal FuaProfessor Computer Science, EPFLVerified email at epfl.ch
