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2020 – today
- 2024
[j1]Simon Doll
, Niklas Hanselmann, Lukas Schneider, Richard Schulz, Markus Enzweiler, Hendrik P. A. Lensch:
S.T.A.R.-Track: Latent Motion Models for End-to-End 3D Object Tracking With Adaptive Spatio-Temporal Appearance Representations. IEEE Robotics Autom. Lett. 9(2): 1326-1333 (2024)- [c5]Simon Doll, Niklas Hanselmann, Lukas Schneider, Richard Schulz, Marius Cordts, Markus Enzweiler, Hendrik P. A. Lensch:
Dualad: Disentangling the Dynamic and Static World for End-to-End Driving. CVPR 2024: 14728-14737 - [i6]Simon Doll, Niklas Hanselmann, Lukas Schneider, Richard Schulz, Marius Cordts, Markus Enzweiler, Hendrik P. A. Lensch:
DualAD: Disentangling the Dynamic and Static World for End-to-End Driving. CoRR abs/2406.06264 (2024) - 2023
- [c4]Peizheng Li, Shuxiao Ding, Xieyuanli Chen, Niklas Hanselmann, Marius Cordts, Juergen Gall:
PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye View. IJCAI 2023: 1080-1088 - [i5]Peizheng Li, Shuxiao Ding, Xieyuanli Chen, Niklas Hanselmann, Marius Cordts, Juergen Gall:
PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye View. CoRR abs/2306.10761 (2023) - [i4]Simon Doll, Niklas Hanselmann, Lukas Schneider, Richard Schulz, Markus Enzweiler, Hendrik P. A. Lensch:
S.T.A.R.-Track: Latent Motion Models for End-to-End 3D Object Tracking with Adaptive Spatio-Temporal Appearance Representations. CoRR abs/2306.17602 (2023) - 2022
- [c3]Andong Tan, Niklas Hanselmann, Shuxiao Ding, Federico Tombari, Marius Cordts:
Unsupervised Domain Adaptive Object Detection with Class Label Shift Weighted Local Features. ECCV Workshops (2) 2022: 118-133 - [c2]Niklas Hanselmann, Katrin Renz, Kashyap Chitta, Apratim Bhattacharyya, Andreas Geiger:
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients. ECCV (38) 2022: 335-352 - [i3]Niklas Hanselmann, Katrin Renz, Kashyap Chitta, Apratim Bhattacharyya, Andreas Geiger:
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients. CoRR abs/2204.13683 (2022) - 2021
- [c1]Niklas Hanselmann, Nick Schneider, Benedikt Ortelt, Andreas Geiger:
Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation. IV 2021: 532-539 - [i2]Niklas Hanselmann, Nick Schneider, Benedikt Ortelt, Andreas Geiger:
Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation. CoRR abs/2107.04523 (2021) - 2020
- [i1]Nils Gählert, Niklas Hanselmann, Uwe Franke, Joachim Denzler:
Visibility Guided NMS: Efficient Boosting of Amodal Object Detection in Crowded Traffic Scenes. CoRR abs/2006.08547 (2020)
Coauthor Index
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