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Guillem Brasó
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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
4662020
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
1132021
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
462021
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
302022
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
252023
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
242023
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
212022
Devis: Making deformable transformers work for video instance segmentation
A Caelles, T Meinhardt, G Brasó, L Leal-Taixé
arXiv preprint arXiv:2207.11103, 2022
92022
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
32022
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
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Articles 1–10