Ioan Andrei Bârsan (Preferred)
, Ioan Andrei Barsan
Ioan Andrei Bârsan
University of Toronto
Names
How do you usually write your name as author of a paper? Also add any other names you have authored papers under.
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
Personal Links
Add links to your profiles on other sites. (Optional)
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
University of Toronto (toronto.edu)
2017 – Present
MS student
Swiss Federal Institute of Technology (ethz.ch)
2015 – 2017
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
2018 – Present
Coworker
Julieta Martinez
****@gmail.com
2018 – Present
Coworker
Wei-Chiu Ma
****@mit.edu
2018 – Present
Coworker
Namdar Homayounfar
****@gmail.com
2018 – Present
Coworker
Min Bai
****@cs.toronto.edu
2018 – Present
PhD Advisor
Raquel Urtasun
****@uber.com
2017 – Present
Coworker
Katie Luo
****@cornell.edu
2019 – 2020
Coworker
Gellert Mattyus
****@tinymile.ai
2018 – 2019
Coworker
Xinkai Wei
****@kyewei.com
2018 – 2019
Coworker
Ignacio Tartavull
****@gmail.com
2018 – 2019
Coauthor
Andreas Geiger
****@tue.mpg.de
2017 – 2017
Coauthor
Peidong Liu
****@inf.ethz.ch
2017 – 2017
Coauthor
Marc Pollefeys
****@inf.ethz.ch
2017 – 2017
Coworker
Carsten Eickhoff
****@brown.edu
2016 – 2017
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
2018 – Present
localization, slam, robotics, dense reconstruction, 3d reconstruction, structure from motion
2017 – Present