Hannah Dröge

University of Siegen

Names

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Hannah Dröge (Preferred)

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.

****@uni-siegen.de

Education & Career History

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PhD student
University of Siegen (uni-siegen.de)
2019Present
 
MS student
University of Siegen (uni-siegen.de)
20172019
 
Undergrad student
University of Siegen (uni-siegen.de)
20132016
 

Advisors, Relations & Conflicts

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

PhD Advisor
Michael Möller
****@uni-siegen.de
2019Present
 
Coauthor
Yuval Bahat
****@gmail.com
20222023
 
Coauthor
Felix Heide
****@cs.princeton.edu
20222023
 
Coauthor
Kanchana Vaishnavi Gandikota
****@uni-siegen.de
20222023
 
Coauthor
Thomas Möllenhoff
****@riken.jp
20222022
 
Coauthor
Paramanand Chandramouli
****@uni-siegen.de
20222022
 
Coauthor
Andrea Bertozzi
****@math.ucla.edu
20212021
 
Coauthor
Baichuan Yuan
****@fb.com
20212021
 
Coauthor
Rafael Llerena
****@med.usc.edu
20212021
 
Coauthor
Jesse T Yen
****@usc.edu
20212021
 
Coauthor
Jonas Geiping
****@umd.edu
20202020
 
Coauthor
Hartmut Bauermeister
****@gmail.com
20202020
 

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

Image Reconstruction
Present
 
Image Segmentation
2019Present
 
Deep Learning
2019Present
 
Variational Methods
2019Present
 
Energy Minimization Methods
2019Present