Ioan Andrei Bârsan

Waabi

Names

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

Ioan Andrei Bârsan (Preferred)
,
Ioan Andrei Barsan

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.

****@cs.toronto.edu
,
****@student.ethz.ch
,
****@gmail.com
,
****@waabi.ai

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.

Researcher
Waabi (waabi.ai)
2021Present
 
PhD student
University of Toronto (toronto.edu)
2017Present
 
MS student
Swiss Federal Institute of Technology (ethz.ch)
20152017
 

Advisors, Relations & Conflicts

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

Coworker
Shenlong Wang
****@cs.toronto.edu
2018Present
 
Coworker
Julieta Martinez
****@gmail.com
2018Present
 
Coworker
Wei-Chiu Ma
****@mit.edu
2018Present
 
Coworker
Namdar Homayounfar
****@gmail.com
2018Present
 
Coworker
Min Bai
****@cs.toronto.edu
2018Present
 
PhD Advisor
Raquel Urtasun
****@uber.com
2017Present
 
Coworker
Katie Luo
****@cornell.edu
20192020
 
Coworker
Gellert Mattyus
****@tinymile.ai
20182019
 
Coworker
Xinkai Wei
****@kyewei.com
20182019
 
Coworker
Ignacio Tartavull
****@gmail.com
20182019
 
Coauthor
Andreas Geiger
****@tue.mpg.de
20172017
 
Coauthor
Peidong Liu
****@inf.ethz.ch
20172017
 
Coauthor
Marc Pollefeys
****@inf.ethz.ch
20172017
 
Coworker
Carsten Eickhoff
****@brown.edu
20162017
 

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, lidar, computer vision, image retrieval, compression
2018Present
 
localization, slam, robotics, dense reconstruction, 3d reconstruction, structure from motion
2017Present