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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
2772020
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
402021
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
202021
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
22022
Simple Cues Lead to a Strong Multi-Object Tracker
J Seidenschwarz, G Braso, I Elezi, L Leal-Taixe
arXiv preprint arXiv:2206.04656, 2022
12022
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
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