Jonas Wulff

Computer Science and Artificial Intelligence Laboratory, Electrical Engineering & Computer Science

Names

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Jonas Wulff

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.

****@tuebingen.mpg.de
,
****@csail.mit.edu

Education & Career History

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Postdoc
Computer Science and Artificial Intelligence Laboratory, Electrical Engineering & Computer Science (csail.mit.edu)
2018Present
 
Graduate Student
Max Planck Institute for Intelligent Systems, Max Planck Institute for Intelligent Systems (is.tue.mpg.de)
20112018
 

Advisors, Relations & Conflicts

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

Postdoc Advisor
Antonio Torralba
****@mit.edu
2018Present
 
Coauthor
David Bau
****@csail.mit.edu
2018Present
 
Advisor
Eli Shechtman
****@adobe.com
2014Present
 
Advisor
Michael Black
****@tuebingen.mpg.de
2011Present
 
Coauthor
Jun-Yan Zhu
****@cs.cmu.edu
20182019
 
Coauthor
Eli Shechtman
****@adobe.com
20152015
 
Coauthor
Laura Sevilla-lara
****@tuebingen.mpg.de
20152015
 
Coauthor
Kalyan Sunkavalli
****@adobe.com
20152015
 
Coauthor
Eli Shechtman
****@weizmann.ac.il
20152015
 
Coauthor
Deqing Sun
****@seas.harvard.edu
20132014
 
Advisor
Edward Adelson
****@csail.mit.edu
20122014
 
Advisor
Pawan Sinha
****@mit.edu
20062014
 
Coauthor
Hanspeter Pfister
****@seas.harvard.edu
20132013
 
Coauthor
Erik Sudderth
****@cs.brown.edu
20132013
 
Coauthor
Deqing Sun
****@seas.harvard.edu
20132013
 
Coauthor
Thomas Stehle
****@philips.com
20092011
 
Coauthor
Til Aach
****@lfb.rwth-aachen.de
20092011
 

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

Generative Adversarial Networks, understanding
2018Present
 
Self-supervised learning, representation learning
2017Present
 
Optical flow, motion estimation, video understanding
2011Present