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Conference Paper

Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths

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Horňáková,  Andrea
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

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Swoboda,  Paul
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

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Citation

Horňáková, A., Kaiser, T., Swoboda, P., Rolinek, M., Rosenhahn, B., & Henschel, R. (2021). Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths. In ICCV 2021 (pp. 6310-6320). Piscataway, NJ: IEEE. doi:10.1109/ICCV48922.2021.00627.


Cite as: https://hdl.handle.net/21.11116/0000-0009-B3E1-E
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