English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse
  1. View item / 
  2. Item Summary

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Conference Paper

Vid2Doppler: Synthesizing Doppler Radar Data from Videos for Training Privacy-Preserving Activity Recognition

MPS-Authors
/persons/resource/persons260203

Jiang,  Yue
Visual Computing and Artificial Intelligence, MPI for Informatics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

3411764.3445138.pdf
(Publisher version), 14MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Ahuja, K., Jiang, Y., Goel, M., & Harrison, C. (2021). Vid2Doppler: Synthesizing Doppler Radar Data from Videos for Training Privacy-Preserving Activity Recognition. In Y. Kitamura, A. Quigley, K. Ikematsu, & T. Kosch (Eds.), CHI '21 (pp. 1-10). New York, NY: ACM. doi:10.1145/3411764.3445138.


Cite as: https://hdl.handle.net/21.11116/0000-000A-26B8-C
Abstract
There is no abstract available