| 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 | 1074* | 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 | 793* | 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 | 339* | 2021 |
| 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 | 265 | 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 | 264 | 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 | 207 | 2020 |
| 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 | 158 | 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 | 150 | 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 | 146 | 2020 |
| STEP: Segmenting and tracking every pixel M Weber, J Xie, M Collins, Y Zhu, P Voigtlaender, H Adam, B Green, ... Proceedings of the Neural Information Processing Systems Track on Datasets …, 2021 | 99 | 2021 |
| 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 | 99 | 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 | 89 | 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 | 81 | 2018 |
| AlignNet-3D: Fast Point Cloud Registration of Partially Observed Objects J Groß, A Osep, B Leibe International Conference on 3D Vision (3DV), 2019 | 64 | 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 | 62* | 2016 |
| 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 | 58 | 2022 |
| Polarmot: How far can geometric relations take us in 3d multi-object tracking? A Kim, G Brasó, A Ošep, L Leal-Taixé European conference on computer vision, 41-58, 2022 | 53 | 2022 |
| 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 | 51* | 2019 |
| 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 | 50 | 2016 |
| 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 | 49 | 2022 |
Laura Leal-TaixéSenior Research Manager at NVIDIA. Prev. Prof. TU MunichVerified email at tum.de
