David Vazquez (Preferred)
, David Vázquez
David Vazquez
Montreal Institute for Learning Algorithms, University of Montreal, University of Montreal
Names
How do you usually write your name as author of a paper? Also add any other names you have authored papers under.
Emails
Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.
****@cvc.uab.es
, ****@elementai.com
, ****@gmail.com
, ****@servicenow.com
Personal Links
Add links to your profiles on other sites. (Optional)
Education & Career History
Enter your education and career history. The institution domain is used for conflict of interest detection and institution ranking. For ongoing positions, leave the end field blank.
Postdoc
Montreal Institute for Learning Algorithms, University of Montreal, University of Montreal (mila.umontreal.ca)
2015 – 2017
Postdoc
Computer Vision Center, Universitat Autònoma de Barcelona (cvc.uab.es)
2013 – 2015
PhD student
Computer Vision Center, Universitat Autònoma de Barcelona (cvc.uab.es)
2009 – 2013
MS student
Universitat Autònoma de Barcelona (uab.es)
2008 – 2009
Undergrad student
Universitat Autònoma de Barcelona (uab.es)
2005 – 2008
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
Coauthor
Bastian Leibe
****@vision.rwth-aachen.de
2011 – 2014
Coauthor
David Geronimo
****@kth.se
2011 – 2014
Coauthor
Sebastian Ramos
****@daimler.com
2011 – 2014
Coauthor
Jiaolong Xu
****@cvc.uab.es
2011 – 2014
Coworker
German Ros
****@cvc.uab.es
2011 – 2014
Coauthor
David Geronimo
****@davidgeronimo.com
2007 – 2014
PhD Advisor
Antonio López
****@cvc.uab.es
2009 – 2013
Expertise
For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing
Fashion
2018 – 2020
Weak supervision
2017 – 2020
Counting
2017 – 2020
Computer vision
2009 – 2020