Denys Rozumnyi

Department of Computer Science, Swiss Federal 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.

Denys Rozumnyi (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.

****@inf.ethz.ch
,
****@cmp.felk.cvut.cz
,
****@fel.cvut.cz

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.

PhD student
Department of Computer Science, Swiss Federal Institute of Technology (inf.ethz.ch)
2019Present
 
Researcher
Czech Technical University in Prague (cmp.felk.cvut.cz)
2014Present
 
MS student
Czech Technical Univeresity in Prague (fel.cvut.cz)
20172019
 
Undergrad student
Czech Technical Univeresity in Prague (fel.cvut.cz)
20142017
 

Advisors, Relations & Conflicts

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

Coauthor
Vittorio Ferrari
****@google.com
2020Present
 
PhD Advisor
Marc Pollefeys
****@inf.ethz.ch
2018Present
 
Coauthor
Martin Oswald
****@inf.ethz.ch
2018Present
 
Coauthor
Filip Sroubek
****@utia.cas.cz
2017Present
 
Coauthor
Jan Kotera
****@utia.cas.cz
2017Present
 
Coauthor
Jiri Matas
****@cmp.felk.cvut.cz
2014Present
 
Coauthor
Ian Cherabier
****@inf.ethz.ch
20182019
 
Coauthor
James Pritts
****@cmp.felk.cvut.cz
20142017
 
Coauthor
Ondrej Chum
****@cmp.felk.cvut.cz
20142017
 

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

object deblurring, 3D shape reconstruction fast moving objects, deep learning
2019Present
 
fast moving objects, tracking, energy minimization
20172019
 
repeated patterns detection, energy minimization
20142017