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2020 – today
- 2023
[b1]Patrick Dendorfer:
Deep Learning for Human Motion: Advancing Trajectory Prediction and Multi-Object Tracking (Deep Learning für menschliche Bewegungsmodelle: Fortschritte in Trajektorienvorhersage und Personentracking). Technical University of Munich, Germany, 2023- 2022
- [c4]Malte Pedersen
, Joakim Bruslund Haurum, Patrick Dendorfer, Thomas B. Moeslund:
MOTCOM: The Multi-Object Tracking Dataset Complexity Metric. ECCV (8) 2022: 20-37 - [c3]Patrick Dendorfer, Vladimir Yugay, Aljosa Osep, Laura Leal-Taixé:
Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking? NeurIPS 2022 - [i8]Malte Pedersen, Joakim Bruslund Haurum, Patrick Dendorfer, Thomas B. Moeslund:
MOTCOM: The Multi-Object Tracking Dataset Complexity Metric. CoRR abs/2207.10031 (2022) - [i7]Patrick Dendorfer, Vladimir Yugay, Aljosa Osep, Laura Leal-Taixé:
Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking? CoRR abs/2210.07681 (2022) - 2021
- [j2]Jonathon Luiten, Aljosa Osep, Patrick Dendorfer, Philip H. S. Torr, Andreas Geiger, Laura Leal-Taixé, Bastian Leibe:
HOTA: A Higher Order Metric for Evaluating Multi-object Tracking. Int. J. Comput. Vis. 129(2): 548-578 (2021) - [j1]Patrick Dendorfer, Aljosa Osep, Anton Milan, Konrad Schindler, Daniel Cremers, Ian Reid, Stefan Roth, Laura Leal-Taixé:
MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking. Int. J. Comput. Vis. 129(4): 845-881 (2021) - [c2]Patrick Dendorfer, Sven Elflein, Laura Leal-Taixé:
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction. ICCV 2021: 13138-13147 - [i6]Patrick Dendorfer, Sven Elflein, Laura Leal-Taixé:
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction. CoRR abs/2108.09274 (2021) - 2020
- [c1]Patrick Dendorfer, Aljosa Osep, Laura Leal-Taixé:
Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation. ACCV (2) 2020: 405-420 - [i5]Patrick Dendorfer, Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian D. Reid, Stefan Roth, Konrad Schindler, Laura Leal-Taixé:
MOT20: A benchmark for multi object tracking in crowded scenes. CoRR abs/2003.09003 (2020) - [i4]Jonathon Luiten, Aljosa Osep, Patrick Dendorfer, Philip H. S. Torr, Andreas Geiger, Laura Leal-Taixé, Bastian Leibe:
HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking. CoRR abs/2009.07736 (2020) - [i3]Patrick Dendorfer, Aljosa Osep, Laura Leal-Taixé:
Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation. CoRR abs/2010.01114 (2020) - [i2]Patrick Dendorfer, Aljosa Osep, Anton Milan, Konrad Schindler, Daniel Cremers, Ian D. Reid, Stefan Roth, Laura Leal-Taixé:
MOTChallenge: A Benchmark for Single-camera Multiple Target Tracking. CoRR abs/2010.07548 (2020)
2010 – 2019
- 2019
- [i1]Patrick Dendorfer, Seyed Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian D. Reid, Stefan Roth, Konrad Schindler, Laura Leal-Taixé:
CVPR19 Tracking and Detection Challenge: How crowded can it get? CoRR abs/1906.04567 (2019)
Coauthor Index
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