Skip to content
/ DG-VAE Public

The offical repository for our Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification.

Notifications You must be signed in to change notification settings

TPCD/DG-VAE

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 Commits
 
 

Repository files navigation

DG-VAE-pytorch Project

By Nan Pu, Wei Chen, Yu Liu, Erwin M. Bakker and Michael S. Lew. The offical pytorch implementation for ACM MM 2020 paper Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification.

Code is coming soon.

If you find this code useful to your research, please cite the following paper.

@inproceedings{pu2020dual,
  title={Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification},
  author={Pu, Nan and Chen, Wei and Liu, Yu and Bakker, Erwin M and Lew, Michael S},
  booktitle={Proceedings of the 28th ACM International Conference on Multimedia},
  pages={2149--2158},
  year={2020}
}

About

The offical repository for our Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published