Marius Cordts
Marius Cordts
Mercedes-Benz AG R&D - Automated Driving
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Zitiert von
Zitiert von
The Cityscapes Dataset for Semantic Urban Scene Understanding
M Cordts, M Omran, S Ramos, T Rehfeld, M Enzweiler, R Benenson, ...
Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on …, 2016
The Cityscapes Dataset
M Cordts, M Omran, S Ramos, T Scharwächter, M Enzweiler, R Benenson, ...
CVPR Workshop on The Future of Datasets in Vision, 2015
Pixel-level encoding and depth layering for instance-level semantic labeling
J Uhrig, M Cordts, U Franke, T Brox
Pattern Recognition: 38th German Conference, GCPR 2016, Hannover, Germany …, 2016
Semantic Stixels: Depth is Not Enough
L Schneider, M Cordts, T Rehfeld, D Pfeiffer, M Enzweiler, U Franke, ...
Intelligent Vehicles Symposium (IV), 2016
Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection
N Gählert, N Jourdan, M Cordts, U Franke, J Denzler
CVPR Workshop on Scalability in Autonomous Driving, 2020
The stixel world: A medium-level representation of traffic scenes
M Cordts, T Rehfeld, L Schneider, D Pfeiffer, M Enzweiler, S Roth, ...
Image and Vision Computing 68, 40-52, 2017
Object-level Priors for Stixel Generation
M Cordts, L Schneider, M Enzweiler, U Franke, S Roth
German Conference on Pattern Recognition (GCPR), 172-183, 2014
Structural knowledge distillation for object detection
P De Rijk, L Schneider, M Cordts, D Gavrila
Advances in Neural Information Processing Systems 35, 3858-3870, 2022
Tree-Structured Models for Efficient Multi-Cue Scene Labeling
M Cordts, T Rehfeld, M Enzweiler, U Franke, S Roth
Pattern Analysis and Machine Intelligence (PAMI), IEEE Transactions on 39 (7 …, 2017
PowerBEV: a powerful yet lightweight framework for instance prediction in bird's-eye view
P Li, S Ding, X Chen, N Hanselmann, M Cordts, J Gall
arXiv preprint arXiv:2306.10761, 2023
Understanding Cityscapes: Efficient Urban Semantic Scene Understanding
M Cordts
Technische Universität Darmstadt, 2017
3dmotformer: Graph transformer for online 3d multi-object tracking
S Ding, E Rehder, L Schneider, M Cordts, J Gall
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
A discontinuous neural network for non-negative sparse approximation
M Arts, M Cordts, M Gorin, M Spehr, R Mathar
arXiv preprint arXiv:1603.06353, 2016
Quantitative cardiac MR assessment of left ventricular diastology
K Lehenbauer, K Kalisz, BH Freed, X Bi, C Guetter, MP Jolly, M Cordts, ...
Journal of Cardiovascular Magnetic Resonance 15, 1-2, 2013
A Novel Benchmark for Refinement of Noisy Localization Labels in Autolabeled Datasets for Object Detection
A Bär, J Uhrig, JP Umesh, M Cordts, T Fingscheidt
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
End-to-end single shot detector using graph-based learnable duplicate removal
S Ding, E Rehder, L Schneider, M Cordts, J Gall
DAGM German Conference on Pattern Recognition, 375-389, 2022
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
ADA-Track: End-to-End Multi-Camera 3D Multi-Object Tracking with Alternating Detection and Association
S Ding, L Schneider, M Cordts, J Gall
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
Unsupervised Domain Adaptive Object Detection with Class Label Shift Weighted Local Features
A Tan, N Hanselmann, S Ding, F Tombari, M Cordts
European Conference on Computer Vision, 118-133, 2022
1047 Cardiac MR left ventricular myocardial strain derived from deformation fields using balanced steady state free precession cine imaging in patients with cardiac amyloidosis
K Kalisz, E Semaan, D Katz, X Bi, M Cordts, C Guetter, MP Jolly, B Freed, ...
European Heart Journal–Cardiovascular Imaging 14 (suppl_1), i18-i19, 2013
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