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1

S.T.A.R.-Track: Latent Motion Models for End-to-End 3D Obje..:

Doll, Simon ; Hanselmann, Niklas ; Schneider, Lukas...
IEEE Robotics and Automation Letters. 9 (2024) 2 - p. 1326-1333 , 2024

Link: https://doi.org/10.1109/..

2

Unsupervised Domain Adaptive Object Detection with Class La..:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2022 Workshops,

Tan, Andong ; Hanselmann, Niklas ; Ding, Shuxiao.. - p. 118-133 , 2023

Link: https://doi.org/10.1007/..

3

KING: Generating Safety-Critical Driving Scenarios for Robu..:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2022,

Hanselmann, Niklas ; Renz, Katrin ; Chitta, Kashyap.. - p. 335-352 , 2022

Link: https://doi.org/10.1007/..

4

S.T.A.R.-Track: Latent Motion Models for End-to-End 3D Obje..:

Doll, Simon ; Hanselmann, Niklas ; Schneider, Lukas...
http://arxiv.org/abs/2306.17602. , 2023

Link: http://arxiv.org/abs/230..

5

PowerBEV: A Powerful Yet Lightweight Framework for Instance..:

Li, Peizheng ; Ding, Shuxiao ; Chen, Xieyuanli...
http://arxiv.org/abs/2306.10761. , 2023

Link: http://arxiv.org/abs/230..

6

KING: Generating Safety-Critical Driving Scenarios for Robu..:

Hanselmann, Niklas ; Renz, Katrin ; Chitta, Kashyap..
http://arxiv.org/abs/2204.13683. , 2022

Link: http://arxiv.org/abs/220..

7

Learning Cascaded Detection Tasks with Weakly-Supervised Do..:

Hanselmann, Niklas ; Schneider, Nick ; Ortelt, Benedikt.
http://arxiv.org/abs/2107.04523. , 2021

Link: http://arxiv.org/abs/210..

8

Visibility Guided NMS: Efficient Boosting of Amodal Object ..:

Gählert, Nils ; Hanselmann, Niklas ; Franke, Uwe.
http://arxiv.org/abs/2006.08547. , 2020

Link: http://arxiv.org/abs/200..

9

Tumour Treating Fields (TTFields) in combination with lomus..:

Lazaridis, Lazaros ; Schäfer, Niklas ; Teuber-Hanselmann, Sarah...
Journal of Cancer Research and Clinical Oncology. 146 (2019) 3 - p. 787-792 , 2019

Link: https://doi.org/10.1007/..

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