| 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 | 277 | 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 | 40 | 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 | 20 | 2021 |
| PolarMOT: How far can geometric relations take us in 3D multi-object tracking? A Kim, G Brasó, A Ošep, L Leal-Taixé Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 2 | 2022 |
| Simple Cues Lead to a Strong Multi-Object Tracker J Seidenschwarz, G Braso, I Elezi, L Leal-Taixe arXiv preprint arXiv:2206.04656, 2022 | 1 | 2022 |
| Unifying Short and Long-Term Tracking with Graph Hierarchies O Cetintas, G Brasó, L Leal-Taixé arXiv preprint arXiv:2212.03038, 2022 | | 2022 |
| 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 | | 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 arXiv preprint arXiv:2210.05657, 2022 | | 2022 |
| DeVIS: Making Deformable Transformers Work for Video Instance Segmentation A Caelles, T Meinhardt, G Brasó, L Leal-Taixé arXiv preprint arXiv:2207.11103, 2022 | | 2022 |
