Marvin Klingner
Orcid: 0000-0001-7675-750X
According to our database1,
Marvin Klingner
authored at least 25 papers
between 2020 and 2024.
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Bibliography
2024
S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving.
CoRR, 2024
2023
Mach. Vis. Appl., July, 2023
Multi-Task and Multi-Domain Learning for Semantic Segmentation and Depth Estimation: Offline and Online Methods.
PhD thesis, 2023
A Super-Resolution Training Paradigm Based on Low-Resolution Data Only to Surpass the Technical Limits of STEM and STM Microscopy.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
X<sup>3</sup>KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the 34th British Machine Vision Conference Workshop Proceedings, 2023
2022
SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Intell. Transp. Syst., 2022
Unsupervised BatchNorm Adaptation (UBNA): A Domain Adaptation Method for Semantic Segmentation Without Using Source Domain Representations.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
On the Choice of Data for Efficient Training and Validation of End-to-End Driving Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
Performance Prediction for Semantic Segmentation by a Self-Supervised Image Reconstruction Decoder.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
2021
Online Performance Prediction of Perception DNNs by Multi-Task Learning With Depth Estimation.
IEEE Trans. Intell. Transp. Syst., 2021
CoRR, 2021
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Continual Unsupervised Domain Adaptation for Semantic Segmentation by Online Frequency Domain Style Transfer.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
An Unsupervised Temporal Consistency (TC) Loss To Improve the Performance of Semantic Segmentation Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
2020
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Self-supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance.
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Robust Semantic Segmentation by Redundant Networks With a Layer-Specific Loss Contribution and Majority Vote.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020