Rares Andrei Ambrus

Toyota Research Institute

Names

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

Rares Andrei Ambrus (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.

****@tri.global
,
****@gmail.com

Education & Career History

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Research Scientist
Toyota Research Institute (tri.global)
2018Present
 
PhD student
KTH Royal Institute of Technology, Stockholm, Sweden (kth.se)
20132017
 

Advisors, Relations & Conflicts

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

Coauthor
Guy Rosman
****@csail.mit.edu
20192020
 
Coauthor
Jiexiong Tang
****@kth.se
20192020
 
Coauthor
Wolfram Burgard
****@informatik.uni-freiburg.de
20192020
 
Coauthor
Andreas Bühler
****@ethz.ch
20192020
 
Coauthor
Andrei Cramariuc
****@mavt.ethz.ch
20192020
 
Coauthor
Igor Vasiljevic
****@ttic.com
20192020
 
Coauthor
Greg Shakhnarovich
****@ttic.edu
20192020
 
Coauthor
Hanme Kim
****@tri.global
20192020
 
Coauthor
Adrien Gaidon
****@tri.global
20172020
 
Coauthor
Vitor Guizilini
****@tri.global
20172020
 
Coauthor
Sudeep Pillai
****@tri.global
20172020
 
Coauthor
Cristiano Premebida
****@isr.uc.pt
20172018
 
Coauthor
Kai Arras
****@de.bosch.com
20162018
 
Coauthor
Manuel Brucker
****@dlr.de
20162018
 
Coauthor
Maximilian Durner
****@dlr.de
20162018
 
Coauthor
Rudolph Triebel
****@in.tum.de
20162018
 
Coauthor
Zoltan Marton
****@dlr.de
20162018
 
Coauthor
Axel Wendt
****@de.bosch.com
20162018
 
PhD Advisor
Patric Jensfelt
****@kth.se
20132017
 

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

self-supervised depth and ego-motion learning, self-supervised keypoint learning, 3D and 2D object detection, semantic segmenation
20182020
 
mobile robotics, slam, perception
20132017