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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
4232020
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
1032021
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
392021
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
202022
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
142023
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
132022
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
82023
Devis: Making deformable transformers work for video instance segmentation
A Caelles, T Meinhardt, G Brasó, L Leal-Taixé
arXiv preprint arXiv:2207.11103, 2022
82022
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
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Articles 1–9