| Learning a neural solver for multiple object tracking G Brasó, L Leal-Taixé Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 441 | 2020 |
| 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 | 105 | 2021 |
| The center of attention: Center-keypoint grouping via attention for multi-person pose estimation G Brasó, N Kister, L Leal-Taixé Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 43 | 2021 |
| 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 | 26 | 2022 |
| Simple cues lead to a strong multi-object tracker J Seidenschwarz, G Brasó, VC Serrano, I Elezi, L Leal-Taixé Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 20 | 2023 |
| Multi-object tracking and segmentation via neural message passing G Brasó, O Cetintas, L Leal-Taixé International Journal of Computer Vision 130 (12), 3035-3053, 2022 | 18 | 2022 |
| Unifying short and long-term tracking with graph hierarchies O Cetintas, G Brasó, L Leal-Taixé Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 14 | 2023 |
| Devis: Making deformable transformers work for video instance segmentation A Caelles, T Meinhardt, G Brasó, L Leal-Taixé arXiv preprint arXiv:2207.11103, 2022 | 9 | 2022 |
| The unreasonable effectiveness of fully-connected layers for low-data regimes P Kocsis, P Súkeník, G Brasó, M Nießner, L Leal-Taixé, I Elezi Advances in Neural Information Processing Systems 35, 1896-1908, 2022 | 3 | 2022 |
| SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow O Cetintas, T Meinhardt, G Brasó, L Leal-Taixé arXiv preprint arXiv:2404.11426, 2024 | | 2024 |
