Patrick Dendorfer

According to our database, Patrick Dendorfer authored at least 9 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Deep Learning for Human Motion: Advancing Trajectory Prediction and Multi-Object Tracking (Deep Learning für menschliche Bewegungsmodelle: Fortschritte in Trajektorienvorhersage und Personentracking)

Patrick Dendorfer

PhD thesis, 2023

2022

Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking?

Patrick Dendorfer, Vladimir Yugay, Aljosa Osep, Laura Leal-Taixé

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MOTCOM: The Multi-Object Tracking Dataset Complexity Metric.

Malte Pedersen, Joakim Bruslund Haurum, Patrick Dendorfer, Thomas B. Moeslund

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

HOTA: A Higher Order Metric for Evaluating Multi-object Tracking.

Jonathon Luiten, Aljosa Osep, Patrick Dendorfer, Philip H. S. Torr, Andreas Geiger, Laura Leal-Taixé, Bastian Leibe

Int. J. Comput. Vis., 2021

MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking.

Patrick Dendorfer, Aljosa Osep, Anton Milan, Konrad Schindler, Daniel Cremers, Ian Reid, Stefan Roth, Laura Leal-Taixé

Int. J. Comput. Vis., 2021

MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction.

Patrick Dendorfer, Sven Elflein, Laura Leal-Taixé

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

MOT20: A benchmark for multi object tracking in crowded scenes.

Patrick Dendorfer, Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian D. Reid, Stefan Roth, Konrad Schindler, Laura Leal-Taixé

CoRR, 2020

Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation.

Patrick Dendorfer, Aljosa Osep, Laura Leal-Taixé

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

CVPR19 Tracking and Detection Challenge: How crowded can it get?

Patrick Dendorfer, Seyed Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian D. Reid, Stefan Roth, Konrad Schindler, Laura Leal-Taixé

CoRR, 2019