Andrei Barbu
Andrei Barbu
Massachusetts Institute of Technology
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.
****@0xab.com
, ****@csail.mit.edu
, ****@mit.edu
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
Massachusetts Institute of Technology (mit.edu)
2013 – Present
PhD student
Purdue University (purdue.edu)
2008 – 2013
Undergrad student
University of Waterloo (uwater)
2004 – 2008
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
Coauthor
Caiming Xiong
****@buffalo.edu
2014 – 2014
Coauthor
Jason Corso
****@eecs.umich.edu
2014 – 2014
Coauthor
Jason Corso
****@buffalo.edu
2014 – 2014
Coauthor
Jeffrey Siskind
****@purdue.edu
2011 – 2014
Coauthor
Yuewei Lin
****@email.sc.edu
2011 – 2014
Coauthor
Caimin Xiong
****@ucla.edu
2011 – 2014
Coauthor
Yuewei Lin
****@gmail.com
2011 – 2014
Coauthor
Haonan Yu
****@purdue.edu
2011 – 2014
Coauthor
Sanja Fidler
****@cs.toronto.edu
2011 – 2014
Coauthor
Sanja Fidler
****@ttic.edu
2011 – 2014
Coauthor
Sven Dickinson
****@cs.toronto.edu
2011 – 2014
Coauthor
Song Wang
****@cse.sc.edu
2011 – 2014
Coauthor
Aaron Michaux
****@purdue.edu
2011 – 2014
Coauthor
Song Wang
****@cec.sc.edu
2011 – 2014
PhD Advisor
Jeff Siskind
****@purdue.edu
2008 – 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
robotics
Present
ai
Present
language acquisition
Present
grounded language acquisition
Present
language and vision
Present
neuroscience of language
Present
neuroscience of vision
Present
object recognition
Present
dataset design
Present
social intearctions
Present
activity recognition
Present