Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths
2021
Conference Paper
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| Author(s): | Hornakova, Andrea; Kaiser, Timo; Swoboda, Paul; Rolinek, Michal; Rosenhahn, Bodo; Henschel, Roberto |
| Book Title: | Proceedings 2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2021) |
| Pages: | 6310-6320 |
| Year: | 2021 |
| Month: | October |
| Day: | 11-17 |
| Publisher: | IEEE |
| Department(s): | Autonomous Learning |
| Bibtex Type: | Conference Paper (conference) |
| Paper Type: | Conference |
| DOI: | 10.1109/ICCV48922.2021.00627 |
| Event Name: | ICCV 2021 |
| Event Place: | Virtual Conference |
| Digital: | True |
| State: | Published |
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BibTex @conference{2021_MOT_Rolinek,
title = {Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths},
author = {},
booktitle = {Proceedings 2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2021)},
pages = {6310-6320},
publisher = {IEEE},
month = oct,
year = {2021},
doi = {10.1109/ICCV48922.2021.00627},
month_numeric = {10}
}
|
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