Marius Cordts

According to our database, Marius Cordts authored at least 18 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

EMPERROR: A Flexible Generative Perception Error Model for Probing Self-Driving Planners.

Niklas Hanselmann, Simon Doll, Marius Cordts, Hendrik P. A. Lensch, Andreas Geiger

CoRR, 2024

Dualad: Disentangling the Dynamic and Static World for End-to-End Driving.

Simon Doll, Niklas Hanselmann, Lukas Schneider, Richard Schulz, Marius Cordts, Markus Enzweiler, Hendrik P. A. Lensch

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

ADA-Track: End-to-End Multi-Camera 3D Multi-Object Tracking with Alternating Detection and Association.

Shuxiao Ding, Lukas Schneider, Marius Cordts, Juergen Gall

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye View.

Peizheng Li, Shuxiao Ding, Xieyuanli Chen, Niklas Hanselmann, Marius Cordts, Juergen Gall

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking.

Shuxiao Ding, Eike Rehder, Lukas Schneider, Marius Cordts, Juergen Gall

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Novel Benchmark for Refinement of Noisy Localization Labels in Autolabeled Datasets for Object Detection.

Andreas Bär, Jonas Uhrig, Jeethesh Pai Umesh, Marius Cordts, Tim Fingscheidt

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Structural Knowledge Distillation for Object Detection.

Philip de Rijk, Lukas Schneider, Marius Cordts, Dariu Gavrila

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Unsupervised Domain Adaptive Object Detection with Class Label Shift Weighted Local Features.

Andong Tan, Niklas Hanselmann, Shuxiao Ding, Federico Tombari, Marius Cordts

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

End-to-End Single Shot Detector Using Graph-Based Learnable Duplicate Removal.

Shuxiao Ding, Eike Rehder, Lukas Schneider, Marius Cordts, Jürgen Gall

Proceedings of the Pattern Recognition, 2022

2020

Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection.

Nils Gählert, Nicolas Jourdan, Marius Cordts, Uwe Franke, Joachim Denzler

CoRR, 2020

2017

Understanding Cityscapes: Efficient Urban Semantic Scene Understanding.

Marius Cordts

PhD thesis, 2017

Tree-Structured Models for Efficient Multi-Cue Scene Labeling.

Marius Cordts, Timo Rehfeld, Markus Enzweiler, Uwe Franke, Stefan Roth

IEEE Trans. Pattern Anal. Mach. Intell., 2017

The Stixel World: A medium-level representation of traffic scenes.

Marius Cordts, Timo Rehfeld, Lukas Schneider, David Pfeiffer, Markus Enzweiler, Stefan Roth, Marc Pollefeys, Uwe Franke

Image Vis. Comput., 2017

2016

A Discontinuous Neural Network for Non-Negative Sparse Approximation.

Martijn Arts, Marius Cordts, Monika Gorin, Marc Spehr, Rudolf Mathar

CoRR, 2016

Semantic Stixels: Depth is not enough.

Lukas Schneider, Marius Cordts, Timo Rehfeld, David Pfeiffer, Markus Enzweiler, Uwe Franke, Marc Pollefeys, Stefan Roth

Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

Pixel-Level Encoding and Depth Layering for Instance-Level Semantic Labeling.

Jonas Uhrig, Marius Cordts, Uwe Franke, Thomas Brox

Proceedings of the Pattern Recognition - 38th German Conference, 2016

The Cityscapes Dataset for Semantic Urban Scene Understanding.

Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, Bernt Schiele

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2014

Object-Level Priors for Stixel Generation.

Marius Cordts, Lukas Schneider, Markus Enzweiler, Uwe Franke, Stefan Roth

Proceedings of the Pattern Recognition - 36th German Conference, 2014