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Patrick Dendorfer
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Mot20: A benchmark for multi object tracking in crowded scenes
P Dendorfer, H Rezatofighi, A Milan, J Shi, D Cremers, I Reid, S Roth, ...
arXiv preprint arXiv:2003.09003, 2020
2152020
Hota: A higher order metric for evaluating multi-object tracking
J Luiten, A Osep, P Dendorfer, P Torr, A Geiger, L Leal-Taixé, B Leibe
International journal of computer vision 129 (2), 548-578, 2021
1012021
CVPR19 tracking and detection challenge: How crowded can it get?
P Dendorfer, H Rezatofighi, A Milan, J Shi, D Cremers, I Reid, S Roth, ...
arXiv preprint arXiv:1906.04567, 2019
772019
Motchallenge: A benchmark for single-camera multiple target tracking
P Dendorfer, A Osep, A Milan, K Schindler, D Cremers, I Reid, S Roth, ...
International Journal of Computer Vision 129 (4), 845-881, 2021
70*2021
Goal-gan: Multimodal trajectory prediction based on goal position estimation
P Dendorfer, A Osep, L Leal-Taixé
Proceedings of the Asian Conference on Computer Vision, 2020
382020
Mg-gan: A multi-generator model preventing out-of-distribution samples in pedestrian trajectory prediction
P Dendorfer, S Elflein, L Leal-Taixé
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
142021
Mot20: A benchmark for multi object tracking in crowded scenes. arXiv 2020
P Dendorfer, H Rezatofighi, A Milan, J Shi, D Cremers, I Reid, S Roth, ...
arXiv preprint arXiv:2003.09003, 0
8
MOTCOM: The Multi-Object Tracking Dataset Complexity Metric
M Pedersen, JB Haurum, P Dendorfer, TB Moeslund
arXiv preprint arXiv:2207.10031, 2022
2022
MG-GAN: Supplementary Material
P Dendorfer, S Elflein, L Leal-Taixé
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