Christian Theobalt
Christian Theobalt
Professor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland University
Потвърден имейл адрес: mpi-inf.mpg.de - Начална страница
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Позовавания
Позовавания
Година
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
9632016
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
8222003
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
6712008
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
6642008
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
6522017
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
527*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
5272016
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
461*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
4612009
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
461*2009
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
3D Vision (3DV), 2017 Fifth International Conference on, 2017
4222017
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
4082014
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
3832010
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
3732013
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
3732012
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
3732011
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
3732011
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
3582008
MoFA: Model-based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction
A Tewari, M Zollhöfer, H Kim, P Garrido, F Bernard, P Pérez, C Theobalt
arXiv preprint arXiv:1703.10580, 2017
3482017
MoFA: Model-based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction
A Tewari, M Zollhöfer, H Kim, P Garrido, F Bernard, P Pérez, C Theobalt
Proc. of ICCV, 2017
3482017
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