Object-Level Priors for Stixel Generation. - Marius Cordts; Lukas Schneider; Markus Enzweiler; Uwe Franke; Stefan Roth 001 (GCPR, 2014)

The Cityscapes Dataset for Semantic Urban Scene Understanding. - Marius Cordts; Mohamed Omran; Sebastian Ramos; Timo Rehfeld; Markus Enzweiler; Rodrigo Benenson; Uwe Franke; Stefan Roth 001; Bernt Schiele (CVPR, 2016)

Pixel-Level Encoding and Depth Layering for Instance-Level Semantic Labeling. - Jonas Uhrig; Marius Cordts; Uwe Franke; Thomas Brox (GCPR, 2016)

Semantic Stixels: Depth is not enough. - Lukas Schneider; Marius Cordts; Timo Rehfeld; David Pfeiffer; Markus Enzweiler; Uwe Franke; Marc Pollefeys; Stefan Roth 001 (Intelligent Vehicles Symposium, 2016)

A Discontinuous Neural Network for Non-Negative Sparse Approximation. - Martijn Arts; Marius Cordts; Monika Gorin; Marc Spehr; Rudolf Mathar (CoRR, 2016)

The Stixel World: A medium-level representation of traffic scenes. - Marius Cordts; Timo Rehfeld; Lukas Schneider; David Pfeiffer; Markus Enzweiler; Stefan Roth 001; Marc Pollefeys; Uwe Franke (Image Vis. Comput., 2017)

Tree-Structured Models for Efficient Multi-Cue Scene Labeling. - Marius Cordts; Timo Rehfeld; Markus Enzweiler; Uwe Franke; Stefan Roth 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Understanding Cityscapes: Efficient Urban Semantic Scene Understanding. - Marius Cordts (2017)

Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection. - Nils Gählert; Nicolas Jourdan 001; Marius Cordts; Uwe Franke; Joachim Denzler (CoRR, 2020)

End-to-End Single Shot Detector Using Graph-Based Learnable Duplicate Removal. - Shuxiao Ding; Eike Rehder; Lukas Schneider; Marius Cordts; Jürgen Gall (GCPR, 2022)

Unsupervised Domain Adaptive Object Detection with Class Label Shift Weighted Local Features. - Andong Tan; Niklas Hanselmann; Shuxiao Ding; Federico Tombari; Marius Cordts (ECCV Workshops (2), 2022)

Structural Knowledge Distillation for Object Detection. - Philip de Rijk; Lukas Schneider; Marius Cordts; Dariu Gavrila (NeurIPS, 2022)

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 (CVPR Workshops, 2023)

3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking. - Shuxiao Ding; Eike Rehder; Lukas Schneider; Marius Cordts; Juergen Gall (ICCV, 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 (IJCAI, 2023)

ADA-Track: End-to-End Multi-Camera 3D Multi-Object Tracking with Alternating Detection and Association. - Shuxiao Ding; Lukas Schneider; Marius Cordts; Juergen Gall (CVPR, 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 (CVPR, 2024)

AGO: Adaptive Grounding for Open World 3D Occupancy Prediction. - Peizheng Li; Shuxiao Ding; You Zhou; Qingwen Zhang; Onat Inak; Larissa Triess; Niklas Hanselmann; Marius Cordts; Andreas Zell (CoRR, 2025)

Emperror: A Flexible Generative Perception Error Model for Probing Self-Driving Planners. - Niklas Hanselmann; Simon Doll; Marius Cordts; Hendrik P. A. Lensch; Andreas Geiger 001 (IEEE Robotics Autom. Lett., 2025)