Aljosa Osep

NVIDIA

Names

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

Aljosa Osep

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

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
NVIDIA (nvidia.com)
20232023
 
Postdoc
Carnegie Mellon University (cmu.edu)
20212022
 
Postdoc
Technical University Munich (tum.de)
20192022
 
PhD student
RWTH Aachen University (rwth-aachen.de)
20142019
 
MS student
University of Bonn (uni-bonn.de)
20112013
 

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
2019Present
 
Advisor
Bastian Leibe
****@vision.rwth-aachen.de
2013Present
 
Postdoc Advisor
Deva Ramanan
****@cs.cmu.edu
20212022
 
Coauthor
Jonathon Luiten
****@vision.rwth-aachen.de
20192022
 
PhD Advisor
Bastian Leibe
****@vision.rwth-aachen.de
20142019
 
Coauthor
Bastian Leibe
****@vision.rwth-aachen.de
20152016
 
Coauthor
Umer Rafi
****@vision.rwth-aachen.de
20152015
 
Coauthor
Reinhard Klein
****@cs.uni-bonn.de
20112014
 
Coauthor
Michael Weinmann
****@cs.uni-bonn.de
20112014
 
Coauthor
Roland Ruiters
****@cs.uni-bonn.de
20112014
 
Coauthor
Christopher Schwartz
****@cs.uni-bonn.de
20112014
 

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
20222022
 
open world learning, open world perception, instance segmentation, semantic segmentation
20172021
 
multi-object tracking, semantic segmentation, object detection, object proposal generation, deep learning
20142019
 
multi-view 3d reconstruction, photometric stereo, shape-from-shading
20122013