%0 Conference Paper %1 HorKai2021 %A Hornakova*, Andrea %A Kaiser*, Timo %A Rolinek, Michal %A Rosenhahn, Bodo %A Swoboda, Paul %A Henschel, Roberto %A equal contribution), (* %B International Conference on Computer Vision (ICCV) %D 2021 %K MOT Scalable leibnizailab myown %T Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths %U https://arxiv.org/abs/2108.10606

@inproceedings{HorKai2021, added-at = {2021-12-09T11:56:01.000+0100}, author = {Hornakova*, Andrea and Kaiser*, Timo and Rolinek, Michal and Rosenhahn, Bodo and Swoboda, Paul and Henschel, Roberto and equal contribution), (*}, biburl = {https://www.bibsonomy.org/bibtex/2e712b7501758fd2be55d017291ba85d8/tntl3s}, booktitle = {International Conference on Computer Vision (ICCV)}, interhash = {3642905b9f4e61a38463fcc02f3fbafe}, intrahash = {e712b7501758fd2be55d017291ba85d8}, keywords = {MOT Scalable leibnizailab myown}, month = oct, timestamp = {2021-12-09T11:56:01.000+0100}, title = {Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths}, url = {https://arxiv.org/abs/2108.10606}, year = 2021 }