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


Aug 20, 2021
Patrick Dendorfer, Sven Elflein, Laura Leal-Taixé

* Accepted at ICCV 2021; Code available: https://github.com/selflein/MG-GAN 

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MOTChallenge: A Benchmark for Single-camera Multiple Target Tracking


Oct 15, 2020
Patrick Dendorfer, Aljoša Ošep, Anton Milan, Konrad Schindler, Daniel Cremers, Ian Reid, Stefan Roth, Laura Leal-Taixé

* Accepted at IJCV 

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


Oct 02, 2020
Patrick Dendorfer, Aljoša Ošep, Laura Leal-Taixé

* Oral presentation at ACCV 2020 

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HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking


Sep 29, 2020
Jonathon Luiten, Aljosa Osep, Patrick Dendorfer, Philip Torr, Andreas Geiger, Laura Leal-Taixe, Bastian Leibe

* Pre-print. Accepted for Publication in the International Journal of Computer Vision, 19 August 2020. Code is available at https://github.com/JonathonLuiten/HOTA-metrics 

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MOT20: A benchmark for multi object tracking in crowded scenes


Mar 19, 2020
Patrick Dendorfer, Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian Reid, Stefan Roth, Konrad Schindler, Laura Leal-Taixé

* The sequences of the new MOT20 benchmark were previously presented in the CVPR 2019 tracking challenge ( arXiv:1906.04567 ). The differences between the two challenges are: - New and corrected annotations - New sequences, as we had to crop and transform some old sequences to achieve higher quality in the annotations. - New baselines evaluations and different sets of public detections 

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


Jun 10, 2019
Patrick Dendorfer, Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian Reid, Stefan Roth, Konrad Schindler, Laura Leal-Taixe

* arXiv admin note: substantial text overlap with arXiv:1603.00831, arXiv:1504.01942 

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