Aljosa Osep
Aljosa Osep
Carnegie Mellon University
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.
****@vision.rwth-aachen.de
, ****@tum.de
, ****@gmail.com
, ****@andrew.cmu.edu
Personal Links
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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.
Postdoc
Carnegie Mellon University (cmu.edu)
2021 – 2022
Postdoc
Technical University Munich (tum.de)
2019 – 2022
PhD student
RWTH Aachen University (rwth-aachen.de)
2014 – 2019
MS student
University of Bonn (uni-bonn.de)
2011 – 2013
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
Coworker
Stefan Breuers
****@vision.rwth-aachen.de
Present
Postdoc Advisor
Laura Leal0Taixe
****@tum.de
2019 – Present
Advisor
Bastian Leibe
****@vision.rwth-aachen.de
2013 – Present
Postdoc Advisor
Deva Ramanan
****@cs.cmu.edu
2021 – 2022
Coauthor
Jonathon Luiten
****@vision.rwth-aachen.de
2019 – 2022
PhD Advisor
Bastian Leibe
****@vision.rwth-aachen.de
2014 – 2019
Coauthor
Bastian Leibe
****@vision.rwth-aachen.de
2015 – 2016
Coauthor
Umer Rafi
****@vision.rwth-aachen.de
2015 – 2015
Coauthor
Reinhard Klein
****@cs.uni-bonn.de
2011 – 2014
Coauthor
Michael Weinmann
****@cs.uni-bonn.de
2011 – 2014
Coauthor
Roland Ruiters
****@cs.uni-bonn.de
2011 – 2014
Coauthor
Christopher Schwartz
****@cs.uni-bonn.de
2011 – 2014
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
lidar scene understanding, domain generalization, 3D multi-object tracking, novel class discovery
2022 – 2022
open world learning, open world perception, instance segmentation, semantic segmentation
2017 – 2021
multi-object tracking, semantic segmentation, object detection, object proposal generation, deep learning
2014 – 2019
multi-view 3d reconstruction, photometric stereo, shape-from-shading
2012 – 2013