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Marvin Klingner
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2020 – today
- 2024
- [i16]Maciej K. Wozniak, Hariprasath Govindarajan, Marvin Klingner, Camille Maurice, Ravi Kiran, Senthil Kumar Yogamani:
S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving. CoRR abs/2410.23085 (2024) - 2023
- [b1]Marvin Klingner:
Multi-Task and Multi-Domain Learning for Semantic Segmentation and Depth Estimation: Offline and Online Methods. Braunschweig University of Technology, Germany, 2023 - [j4]Shubhankar Borse
, Marvin Klingner, Varun Ravi Kumar, Hong Cai, Abdulaziz Almuzairee, Senthil Kumar Yogamani, Fatih Porikli:
X-Align++: cross-modal cross-view alignment for Bird's-eye-view segmentation. Mach. Vis. Appl. 34(4): 51 (2023) - [c19]Jasmin Breitenstein, Kangdong Jin, Aziz Hakiri, Marvin Klingner, Tim Fingscheidt:
End-to-end Amodal Video Instance Segmentation. BMVC Workshop 2023 - [c18]Björn Möller, Jan Pirklbauer, Marvin Klingner, Peer Kasten, Markus Etzkorn, Tim J. Seifert, Uta Schlickum, Tim Fingscheidt:
A Super-Resolution Training Paradigm Based on Low-Resolution Data Only to Surpass the Technical Limits of STEM and STM Microscopy. CVPR Workshops 2023: 4263-4272 - [c17]Marvin Klingner, Shubhankar Borse, Varun Ravi Kumar, Behnaz Rezaei, Venkatraman Narayanan, Senthil Kumar Yogamani, Fatih Porikli:
X3KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection. CVPR 2023: 13343-13353 - [c16]Shubhankar Borse
X-Align: Cross-Modal Cross-View Alignment for Bird's-Eye-View Segmentation. WACV 2023: 3286-3296 - [i15]Marvin Klingner, Shubhankar Borse, Varun Ravi Kumar, Behnaz Rezaei, Venkatraman Narayanan, Senthil Kumar Yogamani, Fatih Porikli:
X3KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection. CoRR abs/2303.02203 (2023) - [i14]Shubhankar Borse, Senthil Kumar Yogamani, Marvin Klingner, Varun Ravi Kumar, Hong Cai, Abdulaziz Almuzairee, Fatih Porikli:
X-Align++: cross-modal cross-view alignment for Bird's-eye-view segmentation. CoRR abs/2306.03810 (2023) - 2022
- [j3]Varun Ravi Kumar
SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras. IEEE Trans. Intell. Transp. Syst. 23(8): 10252-10261 (2022) - [j2]Marvin Klingner
Continual BatchNorm Adaptation (CBNA) for Semantic Segmentation. IEEE Trans. Intell. Transp. Syst. 23(11): 20899-20911 (2022) - [c15]Andreas Bär
Performance Prediction for Semantic Segmentation by a Self-Supervised Image Reconstruction Decoder. CVPR Workshops 2022: 4398-4407 - [c14]Marvin Klingner, Konstantin Müller, Mona Mirzaie, Jasmin Breitenstein
On the Choice of Data for Efficient Training and Validation of End-to-End Driving Models. CVPR Workshops 2022: 4802-4811 - [c13]Marvin Klingner, Varun Ravi Kumar, Senthil Kumar Yogamani, Andreas Bär
Detecting Adversarial Perturbations in Multi-Task Perception. IROS 2022: 13050-13057 - [c12]Christopher Plachetka, Benjamin Sertolli, Jenny Fricke, Marvin Klingner, Tim Fingscheidt
3DHD CityScenes: High-Definition Maps in High-Density Point Clouds. ITSC 2022: 627-634 - [c11]Marvin Klingner, Jan-Aike Termöhlen, Jacob Ritterbach, Tim Fingscheidt
Unsupervised BatchNorm Adaptation (UBNA): A Domain Adaptation Method for Semantic Segmentation Without Using Source Domain Representations. WACV (Workshops) 2022: 210-220 - [i13]Marvin Klingner, Mouadh Ayache, Tim Fingscheidt
Continual BatchNorm Adaptation (CBNA) for Semantic Segmentation. CoRR abs/2203.01074 (2022) - [i12]Marvin Klingner, Varun Ravi Kumar, Senthil Kumar Yogamani, Andreas Bär, Tim Fingscheidt:
Detecting Adversarial Perturbations in Multi-Task Perception. CoRR abs/2203.01177 (2022) - [i11]Marvin Klingner, Konstantin Müller, Mona Mirzaie, Jasmin Breitenstein
On the Choice of Data for Efficient Training and Validation of End-to-End Driving Models. CoRR abs/2206.00608 (2022) - [i10]Shubhankar Borse
X-Align: Cross-Modal Cross-View Alignment for Bird's-Eye-View Segmentation. CoRR abs/2210.06778 (2022) - 2021
- [j1]Marvin Klingner
Online Performance Prediction of Perception DNNs by Multi-Task Learning With Depth Estimation. IEEE Trans. Intell. Transp. Syst. 22(7): 4670-4683 (2021) - [c10]Marvin Klingner, Andreas Bär
Improving Online Performance Prediction for Semantic Segmentation. CVPR Workshops 2021: 1-11 - [c9]Serin Varghese, Sharat Gujamagadi, Marvin Klingner, Nikhil Kapoor, Andreas Bär
An Unsupervised Temporal Consistency (TC) Loss To Improve the Performance of Semantic Segmentation Networks. CVPR Workshops 2021: 12-20 - [c8]Jan-Aike Termöhlen, Marvin Klingner, Leon J. Brettin, Nico M. Schmidt, Tim Fingscheidt
Continual Unsupervised Domain Adaptation for Semantic Segmentation by Online Frequency Domain Style Transfer. ITSC 2021: 2881-2888 - [c7]Christopher Plachetka, Jenny Fricke, Marvin Klingner, Tim Fingscheidt
DNN-Based Recognition of Pole-Like Objects in LiDAR Point Clouds. ITSC 2021: 2889-2896 - [c6]Varun Ravi Kumar, Marvin Klingner, Senthil Kumar Yogamani, Stefan Milz, Tim Fingscheidt
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving. WACV 2021: 61-71 - [i9]Varun Ravi Kumar, Marvin Klingner, Senthil Kumar Yogamani, Markus Bach, Stefan Milz, Tim Fingscheidt, Patrick Mäder:
SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras. CoRR abs/2104.04420 (2021) - [i8]Marvin Klingner, Andreas Bär, Marcel Mross, Tim Fingscheidt:
Improving Online Performance Prediction for Semantic Segmentation. CoRR abs/2104.05255 (2021) - [i7]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, Christian Heinzemann, Marco Hoffmann, Nikhil Kapoor, Falk Kappel, Marvin Klingner, Jan Kronenberger, Fabian Küppers, Jonas Löhdefink, Michael Mlynarski, Michael Mock, Firas Mualla, Svetlana Pavlitskaya, Maximilian Poretschkin, Alexander Pohl, Varun Ravi Kumar, Julia Rosenzweig, Matthias Rottmann, Stefan Rüping, Timo Sämann, Jan David Schneider, Elena Schulz, Gesina Schwalbe
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety. CoRR abs/2104.14235 (2021) - 2020
- [c5]Marvin Klingner, Andreas Bär
Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation. CVPR Workshops 2020: 1299-1309 - [c4]Andreas Bär
Robust Semantic Segmentation by Redundant Networks With a Layer-Specific Loss Contribution and Majority Vote. CVPR Workshops 2020: 1348-1358 - [c3]Jonas Löhdefink, Justin Fehrling, Marvin Klingner, Fabian Hüger, Peter Schlicht, Nico M. Schmidt, Tim Fingscheidt
Self-Supervised Domain Mismatch Estimation for Autonomous Perception. CVPR Workshops 2020: 1359-1368 - [c2]Marvin Klingner, Jan-Aike Termöhlen, Jonas Mikolajczyk, Tim Fingscheidt
Self-supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance. ECCV (20) 2020: 582-600 - [c1]Marvin Klingner, Andreas Bär
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels. ITSC 2020: 1-8 - [i6]Marvin Klingner, Andreas Bär, Tim Fingscheidt:
Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation. CoRR abs/2004.11072 (2020) - [i5]Marvin Klingner, Andreas Bär, Philipp Donn, Tim Fingscheidt:
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels. CoRR abs/2005.06050 (2020) - [i4]Jonas Löhdefink, Justin Fehrling, Marvin Klingner, Fabian Hüger, Peter Schlicht, Nico M. Schmidt, Tim Fingscheidt:
Self-Supervised Domain Mismatch Estimation for Autonomous Perception. CoRR abs/2006.08613 (2020) - [i3]Marvin Klingner, Jan-Aike Termöhlen, Jonas Mikolajczyk, Tim Fingscheidt:
Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance. CoRR abs/2007.06936 (2020) - [i2]Varun Ravi Kumar, Marvin Klingner, Senthil Kumar Yogamani, Stefan Milz, Tim Fingscheidt, Patrick Maeder:
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving. CoRR abs/2008.04017 (2020) - [i1]Marvin Klingner, Jan-Aike Termöhlen, Jacob Ritterbach, Tim Fingscheidt:
Unsupervised BatchNorm Adaptation (UBNA): A Domain Adaptation Method for Semantic Segmentation Without Using Source Domain Representations. CoRR abs/2011.08502 (2020)
Coauthor Index
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