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Autonomous Learning Conference Paper 2021

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

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Autonomous Learning
Michal Rolinek

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
Bibtex Type: Conference Paper (conference)
DOI: 10.1109/ICCV48922.2021.00627
Event Name: ICCV 2021
Event Place: Virtual Conference
State: Published
Digital: True
Electronic Archiving: grant_archive

BibTex 

@conference{2021_MOT_Rolinek,
  title = {Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths},
  booktitle = {Proceedings 2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2021)},
  pages = {6310-6320},
  publisher = {IEEE},
  month = oct,
  year = {2021},
  slug = {2021_mot_rolinek},
  author = {},
  month_numeric = {10}
}