ICCV 2017

Our paper about unsupervised probabilistic domain adaptation [1] for deep models (and other models too) has been accepted for ICCV’17:

[1] B. Gholami, O. Rudovic, and V. Pavlovic, “PUnDA: Probabilistic Unsupervised Domain Adaptation,” in Proc. IEEE International Conference Computer Vision, 2017.
added-at = {2017-07-18T17:26:03.000+0200},
author = {Gholami, Behnam and Rudovic, Ognjen and Pavlovic, Vladimir},
biburl = {https://www.bibsonomy.org/bibtex/29fd2aed9b960e71bf2472b5d70079060/vpavlovic},
booktitle = {Proc. IEEE International Conference Computer Vision},
interhash = {4a8c0ac9cfbd7b02e2d86ef7b5a289a0},
intrahash = {9fd2aed9b960e71bf2472b5d70079060},
keywords = {domain_adaptation myown unsupervised},
owner = {vladimir},
timestamp = {2017-07-18T18:21:19.000+0200},
title = {PUnDA: Probabilistic Unsupervised Domain Adaptation},
year = 2017

Congratulations to Behnam and Ognjen!