Aljosa Osep
Aljosa Osep
Other namesAljoša Ošep
Verified email at - Homepage
Cited by
Cited by
Hota: A higher order metric for evaluating multi-object tracking
J Luiten, A Osep, P Dendorfer, P Torr, A Geiger, L Leal-Taixé, B Leibe
International journal of computer vision 129, 548-578, 2021
Mots: Multi-object tracking and segmentation
P Voigtlaender, M Krause, A Osep, J Luiten, BBG Sekar, A Geiger, ...
Proceedings of the ieee/cvf conference on computer vision and pattern …, 2019
Motchallenge: A benchmark for single-camera multiple target tracking
P Dendorfer, A Osep, A Milan, K Schindler, D Cremers, I Reid, S Roth, ...
International Journal of Computer Vision 129, 845-881, 2021
How To Train Your Deep Multi-Object Tracker
Y Xu, A Osep, Y Ban, R Horaud, L Leal-Taixé, X Alameda-Pineda
Computer Vision and Pattern Recognition, 2020
Stem-seg: Spatio-temporal embeddings for instance segmentation in videos
A Athar, S Mahadevan, A Osep, L Leal-Taixé, B Leibe
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Eagermot: 3d multi-object tracking via sensor fusion
A Kim, A Ošep, L Leal-Taixé
2021 IEEE International conference on Robotics and Automation (ICRA), 11315 …, 2021
Combined image- and world-space tracking in traffic scenes
A Osep, W Mehner, M Mathias, B Leibe
Robotics and Automation (ICRA), 2017 IEEE International Conference on, 1988-1995, 2017
Motsynth: How can synthetic data help pedestrian detection and tracking?
M Fabbri, G Brasó, G Maugeri, O Cetintas, R Gasparini, A Ošep, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Goal-gan: Multimodal trajectory prediction based on goal position estimation
P Dendorfer, A Osep, L Leal-Taixé
Proceedings of the Asian Conference on Computer Vision, 2020
Making a case for 3d convolutions for object segmentation in videos
S Mahadevan, A Athar, A Ošep, S Hennen, L Leal-Taixé, B Leibe
arXiv preprint arXiv:2008.11516, 2020
4d panoptic lidar segmentation
M Aygun, A Osep, M Weber, M Maximov, C Stachniss, J Behley, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Step: Segmenting and tracking every pixel
M Weber, J Xie, M Collins, Y Zhu, P Voigtlaender, H Adam, B Green, ...
arXiv preprint arXiv:2102.11859, 2021
Track, then decide: Category-agnostic vision-based multi-object tracking
A Ošep, W Mehner, P Voigtlaender, B Leibe
2018 IEEE International Conference on Robotics and Automation (ICRA), 3494-3501, 2018
AlignNet-3D: Fast Point Cloud Registration of Partially Observed Objects
J Groß, A Osep, B Leibe
International Conference on 3D Vision (3DV), 2019
Scene flow propagation for semantic mapping and object discovery in dynamic street scenes
D Kochanov, A Ošep, J Stückler, B Leibe
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
Multi-scale object candidates for generic object tracking in street scenes
A Ošep, A Hermans, F Engelmann, D Klostermann, M Mathias, B Leibe
2016 IEEE International Conference on Robotics and Automation (ICRA), 3180-3187, 2016
Large-Scale Object Mining for Object Discovery from Unlabeled Video
A Osep, P Voigtlaender, J Luiten, S Breuers, B Leibe
2019 IEEE International Conference on Robotics and Automation (ICRA), 2019
Opening up open world tracking
Y Liu, IE Zulfikar, J Luiten, A Dave, D Ramanan, B Leibe, A Ošep, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
Multi-view normal field integration for 3d reconstruction of mirroring objects
M Weinmann, A Osep, R Ruiters, R Klein
Proceedings of the IEEE international conference on computer vision, 2504-2511, 2013
Quo vadis: Is trajectory forecasting the key towards long-term multi-object tracking?
P Dendorfer, V Yugay, A Osep, L Leal-Taixé
Advances in Neural Information Processing Systems 35, 15657-15671, 2022
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