(1) VisDA 2013 accepts two-page extended abstracts in English, in US Letter size (8.5 by 11 inches), and in PDF format. A font size of 10 points or larger is required for the main text.
(2) All submissions should be emailed to firstname.lastname@example.org with the email title being “VisDA2013 submission: ” followed by the list of last names of authors. (e.g., "VisDA2013 submission: Kulis Li Saenko Sha"). The PDF file should be sent as a attachment and named as “VisDA2013_submission_(list of last names of authors separated by '_').pdf”. (e.g. "VisDA2013_submission_Kulis_Li_Saenko_Sha.pdf")
(3) The submission is expected to describe original research on visual domain adaptation and dataset bias. Similarity in content with concurrent submissions to other venues is allowed, and work in progress and preliminary results are welcome. Submissions containing novel aspects that have not appeared elsewhere before are encouraged.
(4) All submissions will be reviewed by the program committee and accepted submissions will be presented in the workshop as orals and/or posters. The accepted abstracts will be published online at a dedicated website (but not in the conference proceedings or IEEExplore).