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Guillem Brasó
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2020 – today
- 2024
- [c8]Orcun Cetintas, Tim Meinhardt, Guillem Brasó, Laura Leal-Taixé:
SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow. ECCV (12) 2024: 377-395 - [i10]Orcun Cetintas, Tim Meinhardt, Guillem Brasó, Laura Leal-Taixé:
SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow. CoRR abs/2404.11426 (2024) - 2023
- [c7]Jenny Seidenschwarz, Guillem Brasó, Victor Castro Serrano, Ismail Elezi, Laura Leal-Taixé:
Simple Cues Lead to a Strong Multi-Object Tracker. CVPR 2023: 13813-13823 - [c6]Orcun Cetintas, Guillem Brasó, Laura Leal-Taixé:
Unifying Short and Long-Term Tracking with Graph Hierarchies. CVPR 2023: 22877-22887 - 2022
- [j1]Guillem Brasó, Orcun Cetintas
, Laura Leal-Taixé:
Multi-Object Tracking and Segmentation Via Neural Message Passing. Int. J. Comput. Vis. 130(12): 3035-3053 (2022) - [c5]Aleksandr Kim, Guillem Brasó, Aljosa Osep, Laura Leal-Taixé:
PolarMOT: How Far Can Geometric Relations Take us in 3D Multi-object Tracking? ECCV (22) 2022: 41-58 - [c4]Peter Kocsis, Peter Súkeník, Guillem Brasó, Matthias Nießner, Laura Leal-Taixé, Ismail Elezi:
The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes. NeurIPS 2022 - [i9]Jenny Seidenschwarz, Guillem Brasó, Ismail Elezi, Laura Leal-Taixé:
Simple Cues Lead to a Strong Multi-Object Tracker. CoRR abs/2206.04656 (2022) - [i8]Guillem Brasó, Orcun Cetintas, Laura Leal-Taixé:
Multi-Object Tracking and Segmentation via Neural Message Passing. CoRR abs/2207.07454 (2022) - [i7]Adrià Caelles, Tim Meinhardt, Guillem Brasó, Laura Leal-Taixé:
DeVIS: Making Deformable Transformers Work for Video Instance Segmentation. CoRR abs/2207.11103 (2022) - [i6]Aleksandr Kim, Guillem Brasó, Aljosa Osep, Laura Leal-Taixé:
PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking? CoRR abs/2208.01957 (2022) - [i5]Peter Kocsis, Peter Súkeník, Guillem Brasó, Matthias Nießner, Laura Leal-Taixé, Ismail Elezi:
The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes. CoRR abs/2210.05657 (2022) - [i4]Orcun Cetintas, Guillem Brasó, Laura Leal-Taixé:
Unifying Short and Long-Term Tracking with Graph Hierarchies. CoRR abs/2212.03038 (2022) - 2021
- [c3]Matteo Fabbri, Guillem Brasó, Gianluca Maugeri, Orcun Cetintas, Riccardo Gasparini, Aljosa Osep, Simone Calderara, Laura Leal-Taixé, Rita Cucchiara:
MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking? ICCV 2021: 10829-10839 - [c2]Guillem Brasó, Nikita Kister, Laura Leal-Taixé:
The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation. ICCV 2021: 11833-11843 - [i3]Matteo Fabbri, Guillem Brasó, Gianluca Maugeri, Orcun Cetintas, Riccardo Gasparini, Aljosa Osep, Simone Calderara, Laura Leal-Taixé, Rita Cucchiara:
MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking? CoRR abs/2108.09518 (2021) - [i2]Guillem Brasó, Nikita Kister, Laura Leal-Taixé:
The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation. CoRR abs/2110.05132 (2021) - 2020
- [c1]Guillem Brasó, Laura Leal-Taixé:
Learning a Neural Solver for Multiple Object Tracking. CVPR 2020: 6246-6256
2010 – 2019
- 2019
- [i1]Guillem Brasó, Laura Leal-Taixé:
Learning a Neural Solver for Multiple Object Tracking. CoRR abs/1912.07515 (2019)
Coauthor Index
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