English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

UnrealEgo: A New Dataset for Robust Egocentric 3D Human Motion Capture

MPS-Authors
/persons/resource/persons283187

Akada,  Hiroyasu
Visual Computing and Artificial Intelligence, MPI for Informatics, Max Planck Society;

/persons/resource/persons260201

Wang,  Jian
Visual Computing and Artificial Intelligence, MPI for Informatics, Max Planck Society;

/persons/resource/persons255947

Shimada,  Soshi
Visual Computing and Artificial Intelligence, MPI for Informatics, Max Planck Society;

/persons/resource/persons45610

Theobalt,  Christian       
Visual Computing and Artificial Intelligence, MPI for Informatics, Max Planck Society;

/persons/resource/persons239654

Golyanik,  Vladislav
Visual Computing and Artificial Intelligence, MPI for Informatics, Max Planck Society;

External Resource

https://rdcu.be/cZ93g
(Publisher version)

Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Akada, H., Wang, J., Shimada, S., Takahashi, M., Theobalt, C., & Golyanik, V. (2022). UnrealEgo: A New Dataset for Robust Egocentric 3D Human Motion Capture. In S. Avidan, G. Brostow, M. Cissé, G. M. Farinella, & T. Hassner (Eds.), Computer Vision -- ECCV 2022 (pp. 1-17). Berlin: Springer. doi:10.1007/978-3-031-20068-7_1.


Cite as: https://hdl.handle.net/21.11116/0000-000B-78F5-A
Abstract
There is no abstract available