Avinash Ravichandran

Cruise

Names

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Avinash Ravichandran

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.

****@gmail.com
,
****@cs.ucla.edu
,
****@cis.jhu.edu
,
****@getcruise.com

Personal Links

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Education & Career History

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Principal Applied Scientist
Cruise (getcruise.com)
2023 – Present
 
Research Scientist
Amazon (amazon.com)
2013 – 2022
 
Post Doc
UCLA (ucla.edu)
2010 – 2013
 
Graduate Student
Johns Hopkins University (jhu.edu)
2004 – 2010
 

Advisors, Relations & Conflicts

Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.

Coworker
Michael Quang Thai Lam
****@gmail.com
2017 – 2017
 
Coauthor
Stefano Soatto
****@ucla.edu
2012 – 2014
 
Coauthor
Michalis Raptis
****@disneyresearch.com
2011 – 2014
 
Postdoc Advisor
Stefano Soatto
****@ucla.edu
2011 – 2014
 
Coauthor
Chaohui Wang
****@ecp.fr
2011 – 2014
 
Coauthor
Chaohui Wang
****@u-pem.fr
2011 – 2014
 
Coauthor
Brian Taylor
****@gmail.com
2011 – 2014
 
Advisor
Rene Vidal
****@gmail.com
2011 – 2014
 
Coauthor
Bijan Afsari
****@cis.jhu.edu
2011 – 2014
 
Coauthor
Brian Taylor
****@cs.ucla.edu
2011 – 2014
 
Advisor
Rene Vidal
****@cis.jhu.edu
2011 – 2014
 
Postdoc Advisor
Stefano Soatto
****@cs.ucla.edu
2011 – 2014
 
Coauthor
Alper Ayvaci
****@gmail.com
2011 – 2014
 
Coauthor
Vasiliy Karasev
****@gmail.com
2011 – 2014
 
Coauthor
Daniele Perrone
****@iam.unibe.ch
2011 – 2014
 
Coauthor
Chaohui Wang
****@tue.mpg.de
2011 – 2014
 
Coauthor
Vasiliy Karasev
****@ucla.edu
2011 – 2014
 
Coauthor
Paolo Favaro
****@iam.unibe.ch
2010 – 2014
 
Coauthor
Paolo Favaro
****@iam.unibe.ch
2010 – 2014
 
Coauthor
Paolo Favaro
****@gmail.com
2010 – 2014
 
Coauthor
Rizwan Chaudhry
****@gmail.com
2009 – 2014
 
Coauthor
Gregory d. Hager
****@cs.jhu.edu
2009 – 2009
 

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

Few Shot
2015 – Present
 
Transfer learning
2015 – Present