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Simon Doll
Simon Doll
Verifierad e-postadress på student.uni-tuebingen.de - Startsida
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Spatialdetr: Robust scalable transformer-based 3d object detection from multi-view camera images with global cross-sensor attention
S Doll, R Schulz, L Schneider, V Benzin, M Enzweiler, HPA Lensch
European Conference on Computer Vision, 230-245, 2022
262022
Star-track: Latent motion models for end-to-end 3d object tracking with adaptive spatio-temporal appearance representations
S Doll, N Hanselmann, L Schneider, R Schulz, M Enzweiler, HPA Lensch
IEEE Robotics and Automation Letters 9 (2), 1326-1333, 2023
42023
DualAD: Disentangling the Dynamic and Static World for End-to-End Driving
S Doll, N Hanselmann, L Schneider, R Schulz, M Cordts, M Enzweiler, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
12024
EMPERROR: A Flexible Generative Perception Error Model for Probing Self-Driving Planners
A Geiger, H Lensch, M Cordts, S Doll, N Hanselmann
arXiv, 2024
2024
EMPERROR: A Flexible Generative Perception Error Model for Probing Self-Driving Planners
N Hanselmann, S Doll, M Cordts, H Lensch, A Geiger
arXiv preprint arXiv:2411.07719, 2024
2024
STAR-Track: Latent Motion Models for End-to-End 3D Object Tracking with Adaptive Spatio-Temporal Appearance Representations
H Lensch, S Doll, N Hanselmann, L Schneider, R Schulz, M Enzweiler
arXiv, 2023
2023
Supplementary Material for EMPERROR: A Flexible Generative Perception Error Model for Probing Self-Driving Planners
N Hanselmann, S Doll, M Cordts, HPA Lensch, A Geiger
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Artiklar 1–7