| Free-viewpoint video of human actors J Carranza, C Theobalt, MA Magnor, HP Seidel ACM Transactions on Graphics (Proc. SIGGRAPH) 22 (3), 569-577, 2003 | 738 | 2003 |
| Performance capture from sparse multi-view video E de Aguiar, C Stoll, C Theobalt, N Ahmed, HP Seidel, S Thrun ACM Trans. Graph (Proc. SIGGRAPH) 27 (3), 2008 | 598 | 2008 |
| Performance capture from sparse multi-view video E De Aguiar, C Stoll, C Theobalt, N Ahmed, HP Seidel, S Thrun ACM Transactions on Graphics (Proc. SIGGRAPH) 27 (3), 98, 2008 | 591 | 2008 |
| Face2face: Real-time face capture and reenactment of rgb videos J Thies, M Zollhöfer, M Stamminger, C Theobalt, M Nießner Proc. Computer Vision and Pattern Recognition (CVPR), IEEE 1, 2016 | 439 | 2016 |
| Motion capture using joint skeleton tracking and surface estimation J Gall, C Stoll, E De Aguiar, C Theobalt, B Rosenhahn, HP Seidel Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on …, 2009 | 395 | 2009 |
| Motion capture using simultaneous skeleton tracking and surface estimation J Gall, C Stoll, E de Aguiar, C Theobalt, B Rosenhahn, HP Seidel Proc. IEEE CVPR, 2009 | 395* | 2009 |
| 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 (Proc. SIGGRAPH), 2017 | 364 | 2017 |
| 3D shape scanning with a time-of-flight camera Y Cui, S Schuon, D Chan, S Thrun, C Theobalt Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on …, 2010 | 339 | 2010 |
| A data-driven approach for real-time full body pose reconstruction from a depth camera A Baak, M Müller, G Bharaj, HP Seidel, C Theobalt Consumer Depth Cameras for Computer Vision, 71-98, 2013 | 330 | 2013 |
| A Data-Driven Approach for Real-Time Full Body Pose Reconstruction from a Depth Camera A Baak, M Müller, G Bharaj, HP Seidel, C Theobalt Consumer Depth Cameras for Computer Vision - Research Topics and Applications, 2012 | 330 | 2012 |
| A data-driven approach for real-time full body pose reconstruction from a depth camera A Baak, M Müller, G Bharaj, HP Seidel, C Theobalt IEEE International Conference on Computer Vision (ICCV), 2011 | 330 | 2011 |
| A data-driven approach for real-time full body pose reconstruction from a depth camera A Baak, M Müller, G Bharaj, HP Seidel, C Theobalt IEEE International Conference on Computer Vision (ICCV), 2011 | 330 | 2011 |
| Real-time Non-rigid Reconstruction using an RGB-D Camera M Zollhöfer, M Nießner, S Izadi, C Rehmann, C Zach, M Fisher, C Wu, ... ACM Transactions on Graphics (TOG) 33 (4), 156, 2014 | 322 | 2014 |
| A noise-aware filter for real-time depth upsampling D Chan, H Buisman, C Theobalt, S Thrun Workshop on Multi-camera and Multi-modal Sensor Fusion Algorithms and …, 2008 | 315 | 2008 |
| BundleFusion: Real-time Globally Consistent 3D Reconstruction using Online Surface Re-integration A Dai, M Nießner, M Zollhöfer, S Izadi, C Theobalt ACM Transactions on Graphics, 2017 | 299* | 2017 |
| BundleFusion: Real-time Globally Consistent 3D Reconstruction using On-the-fly Surface Re-integration A Dai, M Nießner, M Zollhöfer, S Izadi, C Theobalt arXiv preprint arXiv:1604.01093, 2016 | 284 | 2016 |
| Lidarboost: Depth superresolution for tof 3d shape scanning S Schuon, C Theobalt, J Davis, S Thrun Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on …, 2009 | 221 | 2009 |
| Interactive markerless articulated hand motion tracking using RGB and depth data S Sridhar, A Oulasvirta, C Theobalt Computer Vision (ICCV), 2013 IEEE International Conference on, 2456-2463, 2013 | 216 | 2013 |
| Spass Version 2.0 C Weidenbach, U Brahm, T Hillenbrand, E Keen, C Theobalt, D Topić Automated Deduction—CADE-18, 45-79, 2002 | 202 | 2002 |
| 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, 2016 | 200* | 2016 |
Hans-Peter SeidelProfessor of Computer Science, Max Planck Institute for Informatics, Saarland Informatics CampusVerified email at mpi-inf.mpg.de
