Hi, I'm Aljosa! I am working towards scaling object detection, segmentation, and tracking models to the open world and learning from raw, unlabeled streams of sensory data.
I come from the Alpine side of Slovenia. I have obtained my M.Sc. degree at the University of Bonn and Ph.D. at RWTH Aachen University under the supervision of Prof. Bastian Leibe. Currently, I am working with Prof. Deva Ramanan at the CMU Robotics Institute and Prof. Laura Leal-Taixe (Dynamic Vision and Learning Group) at the Technical University of Munich.
P. Dendorfer, A. Ošep, A. Milan, K. Schindler, D. Cremers, I. Reid, S. Leal-Taixé: MOTChallenge: A Benchmark for Single-camera Multiple Target Tracking, International Journal of Computer Vision (IJCV), 2020. paper
A. Ošep, P. Voigtlaender, J. Luiten, S. Breuers, B. Leibe: Towards Large-Scale Video Object Mining, ECCV 2018 Workshop on Interactive and Adaptive Learning in an Open World, 2018. paper
A. Ošep, A. Hermans, F. Engelmann, D. Klostermann, M. Mathias, B. Leibe: Multi-Scale Object Candidates for Generic Object Tracking in Street Scenes, International Conference on Robotics and Automation (ICRA), 2016. paper
D. Mitzel, J. Diesel, A. Ošep, U. Rafi, B. Leibe: A Fixed-Dimensional 3D Shape Representation for Matching Partially Observed Objects in Street Scenes, International Conference on Robotics and Automation (ICRA), 2015. paper
M. Weinmann, A. Ošep, R. Ruiters, R. Klein: Multi-View Normal Field Integration for 3D Reconstruction of Mirroring Objects, International Conference on Computer Vision (ICCV), 2013. paper
M. Weinmann, R. Ruiters, A. Ošep, C. Schwartz, R. Klein: Fusing Structured Light Consistency and Helmholtz Normals for 3D Reconstruction, British Machine Vision Conference (BMVC), 2012. paper