CVPR19 Tracking and Detection Challenge: How crowded can it get? - Patrick Dendorfer; Seyed Hamid Rezatofighi; Anton Milan; Javen Shi; Daniel Cremers; Ian D. Reid 001; Stefan Roth 001; Konrad Schindler; Laura Leal-Taixé (CoRR, 2019)

Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation. - Patrick Dendorfer; Aljosa Osep; Laura Leal-Taixé (ACCV (2), 2020)

MOT20: A benchmark for multi object tracking in crowded scenes. - Patrick Dendorfer; Hamid Rezatofighi; Anton Milan; Javen Shi; Daniel Cremers; Ian D. Reid 001; Stefan Roth 001; Konrad Schindler; Laura Leal-Taixé (CoRR, 2020)

MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction. - Patrick Dendorfer; Sven Elflein; Laura Leal-Taixé (ICCV, 2021)

MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking. - Patrick Dendorfer; Aljosa Osep; Anton Milan; Konrad Schindler; Daniel Cremers; Ian Reid 001; Stefan Roth 001; Laura Leal-Taixé (Int. J. Comput. Vis., 2021)

HOTA: A Higher Order Metric for Evaluating Multi-object Tracking. - Jonathon Luiten; Aljosa Osep; Patrick Dendorfer; Philip H. S. Torr; Andreas Geiger 001; Laura Leal-Taixé; Bastian Leibe (Int. J. Comput. Vis., 2021)

MOTCOM: The Multi-Object Tracking Dataset Complexity Metric. - Malte Pedersen; Joakim Bruslund Haurum; Patrick Dendorfer; Thomas B. Moeslund (ECCV (8), 2022)

Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking? - Patrick Dendorfer; Vladimir Yugay; Aljosa Osep; Laura Leal-Taixé (NeurIPS, 2022)

Deep Learning for Human Motion: Advancing Trajectory Prediction and Multi-Object Tracking (Deep Learning für menschliche Bewegungsmodelle: Fortschritte in Trajektorienvorhersage und Personentracking) - Patrick Dendorfer (2023)