English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

TOCH: Spatio-Temporal Object Correspondence to Hand for Motion Refinement

MPS-Authors
/persons/resource/persons251918

Zhou,  Keyang
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

/persons/resource/persons221909

Bhatnagar,  Bharat Lal
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

/persons/resource/persons265839

Lenssen,  Jan Eric
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

/persons/resource/persons118756

Pons-Moll,  Gerard       
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

External Resource

https://rdcu.be/c26JY
(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

Zhou, K., Bhatnagar, B. L., Lenssen, J. E., & Pons-Moll, G. (2022). TOCH: Spatio-Temporal Object Correspondence to Hand for Motion Refinement. In S. Avidan, G. Brostow, M. Cissé, G. Farinella, & T. Hassner (Eds.), Computer Vision -- ECCV 2022 (pp. 1-19). Berlin: Springer. doi:10.1007/978-3-031-20062-5_1.


Cite as: https://hdl.handle.net/21.11116/0000-000A-B586-2
Abstract
There is no abstract available