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CORDIS - EU research results
CORDIS

Omni-Supervised Learning for Dynamic Scene Understanding

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Simple Cues Lead to a Strong Multi-Object Tracker (opens in new window)

Author(s): Jenny Seidenschwarz, Guillem Braso, Victor Castro Serrano, Ismail Elezi, Laura Leal-Taixe
Published in: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Publisher: IEEE/CVF
DOI: 10.1109/CVPR52729.2023.01327

Unifying Short and Long-Term Tracking with Graph Hierarchies (opens in new window)

Author(s): Orcun Cetintas, Guillem Braso, Laura Leal-Taixe
Published in: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Publisher: CVF/IEEE
DOI: 10.1109/CVPR52729.2023.02191

SeMoLi: What Moves Together Belongs Together

Author(s): Jenny Seidenschwarz, Aljosa Osep, Francesco Ferroni, Simon Lucey, Laura Leal-Taixe
Published in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Publisher: CVF/IEEE

Better Call SAL: Towards Learning to Segment Anything in Lidar (opens in new window)

Author(s): Aljosa Osep, Tim Meinhardt, Francesco Ferroni, Neehar Peri, Deva Ramanan, Laura Leal-Taixe
Published in: European Conference on Computer Vision, 2024
Publisher: Springer
DOI: 10.1007/978-3-031-72933-1

SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow (opens in new window)

Author(s): Orcun Cetintas, Tim Meinhardt, Guillem Brasó, Laura Leal-Taixé
Published in: European Conference on Computer Vision, 2024
Publisher: Springer
DOI: 10.1007/978-3-031-73254-6

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