Robust Semantic Segmentation by Redundant Networks With a Layer-Specific Loss Contribution and Majority Vote. - Andreas Bär; Marvin Klingner; Serin Varghese; Fabian Hüger; Peter Schlicht; Tim Fingscheidt (CVPR Workshops, 2020)

Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation. - Marvin Klingner; Andreas Bär; Tim Fingscheidt (CVPR Workshops, 2020)

Self-Supervised Domain Mismatch Estimation for Autonomous Perception. - Jonas Löhdefink; Justin Fehrling; Marvin Klingner; Fabian Hüger; Peter Schlicht; Nico M. Schmidt; Tim Fingscheidt (CVPR Workshops, 2020)

Self-supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance. - Marvin Klingner; Jan-Aike Termöhlen; Jonas Mikolajczyk; Tim Fingscheidt (ECCV (20), 2020)

Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels. - Marvin Klingner; Andreas Bär; Philipp Donn; Tim Fingscheidt (ITSC, 2020)

Improving Online Performance Prediction for Semantic Segmentation. - Marvin Klingner; Andreas Bär; Marcel Mross; Tim Fingscheidt (CVPR Workshops, 2021)

An Unsupervised Temporal Consistency (TC) Loss To Improve the Performance of Semantic Segmentation Networks. - Serin Varghese; Sharat Gujamagadi; Marvin Klingner; Nikhil Kapoor; Andreas Bär; Jan David Schneider; Kira Maag; Peter Schlicht; Fabian Hüger; Tim Fingscheidt (CVPR Workshops, 2021)

DNN-Based Recognition of Pole-Like Objects in LiDAR Point Clouds. - Christopher Plachetka; Jenny Fricke; Marvin Klingner; Tim Fingscheidt (ITSC, 2021)

Continual Unsupervised Domain Adaptation for Semantic Segmentation by Online Frequency Domain Style Transfer. - Jan-Aike Termöhlen; Marvin Klingner; Leon J. Brettin; Nico M. Schmidt; Tim Fingscheidt (ITSC, 2021)

SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving. - Varun Ravi Kumar; Marvin Klingner; Senthil Kumar Yogamani; Stefan Milz; Tim Fingscheidt; Patrick Mäder (WACV, 2021)

Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety. - Sebastian Houben; Stephanie Abrecht; Maram Akila; Andreas Bär; Felix Brockherde; Patrick Feifel; Tim Fingscheidt; Sujan Sai Gannamaneni; Seyed Eghbal Ghobadi; Ahmed Hammam; Anselm Haselhoff; Felix Hauser; et al. (CoRR, 2021)

Online Performance Prediction of Perception DNNs by Multi-Task Learning With Depth Estimation. - Marvin Klingner; Tim Fingscheidt (IEEE Trans. Intell. Transp. Syst., 2021)

Performance Prediction for Semantic Segmentation by a Self-Supervised Image Reconstruction Decoder. - Andreas Bär; Marvin Klingner; Jonas Löhdefink; Fabian Hüger; Peter Schlicht; Tim Fingscheidt (CVPR Workshops, 2022)

On the Choice of Data for Efficient Training and Validation of End-to-End Driving Models. - Marvin Klingner; Konstantin Müller; Mona Mirzaie; Jasmin Breitenstein; Jan-Aike Termöhlen; Tim Fingscheidt (CVPR Workshops, 2022)

Detecting Adversarial Perturbations in Multi-Task Perception. - Marvin Klingner; Varun Ravi Kumar; Senthil Kumar Yogamani; Andreas Bär; Tim Fingscheidt (IROS, 2022)

3DHD CityScenes: High-Definition Maps in High-Density Point Clouds. - Christopher Plachetka; Benjamin Sertolli; Jenny Fricke; Marvin Klingner; Tim Fingscheidt (ITSC, 2022)

Unsupervised BatchNorm Adaptation (UBNA): A Domain Adaptation Method for Semantic Segmentation Without Using Source Domain Representations. - Marvin Klingner; Jan-Aike Termöhlen; Jacob Ritterbach; Tim Fingscheidt (WACV (Workshops), 2022)

Continual BatchNorm Adaptation (CBNA) for Semantic Segmentation. - Marvin Klingner; Mouadh Ayache; Tim Fingscheidt (IEEE Trans. Intell. Transp. Syst., 2022)

SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras. - Varun Ravi Kumar; Marvin Klingner; Senthil Kumar Yogamani; Markus Bach; Stefan Milz; Tim Fingscheidt; Patrick Mäder (IEEE Trans. Intell. Transp. Syst., 2022)

End-to-end Amodal Video Instance Segmentation. - Jasmin Breitenstein; Kangdong Jin; Aziz Hakiri; Marvin Klingner; Tim Fingscheidt (BMVC Workshop, 2023)

X3KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection. - Marvin Klingner; Shubhankar Borse; Varun Ravi Kumar; Behnaz Rezaei; Venkatraman Narayanan; Senthil Kumar Yogamani; Fatih Porikli (CVPR, 2023)

A Super-Resolution Training Paradigm Based on Low-Resolution Data Only to Surpass the Technical Limits of STEM and STM Microscopy. - Björn Möller; Jan Pirklbauer; Marvin Klingner; Peer Kasten; Markus Etzkorn; Tim J. Seifert; Uta Schlickum; Tim Fingscheidt (CVPR Workshops, 2023)

Multi-Task and Multi-Domain Learning for Semantic Segmentation and Depth Estimation: Offline and Online Methods. - Marvin Klingner (2023)

X-Align++: cross-modal cross-view alignment for Bird's-eye-view segmentation. - Shubhankar Borse; Marvin Klingner; Varun Ravi Kumar; Hong Cai; Abdulaziz Almuzairee; Senthil Kumar Yogamani; Fatih Porikli (Mach. Vis. Appl., 2023)

S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving. - Maciej K. Wozniak; Hariprasath Govindarajan; Marvin Klingner; Camille Maurice; Ravi Kiran; Senthil Kumar Yogamani (WACV, 2025)

CleverDistiller: Simple and Spatially Consistent Cross-modal Distillation. - Hariprasath Govindarajan; Maciej K. Wozniak; Marvin Klingner; Camille Maurice; Ravi Kiran; Senthil Kumar Yogamani (CoRR, 2025)