Sanjiv Kumar

Google

Names

How do you usually write your name as author of a paper? Also add any other names you have authored papers under.

Sanjiv Kumar

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.

****@google.com

Education & Career History

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Research Scientist
Google (google.com)
Present
 

Advisors, Relations & Conflicts

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

Coauthor
Yunchao Gong
****@fb.com
20122015
 
Coauthor
Rogerio Feris
****@us.ibm.com
20112015
 
Coauthor
Yunchao Gong
****@cs.unc.edu
20112015
 
Coauthor
Shih-fu Chang
****@columbia.edu
20112014
 
Coauthor
Shih-fu Chang
****@cs.columbia.edu
20112014
 
Coauthor
Junfeng He
****@fb.com
20112014
 
Coauthor
Dong Liu
****@ee.columbia.edu
20112014
 
Coauthor
Wei Liu
****@us.ibm.com
20112014
 
Coauthor
Yu Cheng
****@us.ibm.com
20112014
 
Coauthor
Yu Cheng
****@gmail.com
20112014
 
Coauthor
Dong Liu
****@gmail.com
20112014
 
Coauthor
Felix Yu
****@ee.columbia.edu
20112014
 
Coauthor
Junfeng He
****@gmail.com
20112014
 
Coauthor
Svetlana Lazebnik
****@illinois.edu
20112014
 
Coauthor
Wei Liu
****@sjtu.edu.cn
20112014
 
Coauthor
Wei Liu
****@cs.unc.edu
20112014
 
Coauthor
Wei Liu
****@ee.columbia.edu
20112014
 
Coauthor
Wei Liu
****@gmail.com
20112014
 
Coauthor
Yadong Mu
****@gmail.com
20122012
 
Coauthor
Baoxin Li
****@asu.edu
20102010
 
Coauthor
Martial Hebert
****@cs.cmu.edu
20032006
 
Coauthor
Jonas August
****@cs.cmu.edu
20052005
 
Coauthor
Carsten Rother
****@tu-dresden.de
20052005
 

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

Deep learning
Present
 
Supervised learning
Present
 
Large scale learning
Present