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ORCIDChristoph Reinders
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2020 – today
- 2023
[c9]Timo Kaiser, Christoph Reinders, Bodo Rosenhahn:
Compensation Learning in Semantic Segmentation. CVPR Workshops 2023: 3267-3278- [c8]Maximilian Schier, Christoph Reinders, Bodo Rosenhahn:
Deep Reinforcement Learning for Autonomous Driving using High-Level Heterogeneous Graph Representations. ICRA 2023: 7147-7153 - [c7]Maximilian Schier, Christoph Reinders, Bodo Rosenhahn:
Learned Fourier Bases for Deep Set Feature Extractors in Automotive Reinforcement Learning. ITSC 2023: 931-938 - [i5]Timo Kaiser, Christoph Reinders, Bodo Rosenhahn:
Compensation Learning in Semantic Segmentation. CoRR abs/2304.13428 (2023) - 2022
- [c6]Kai Cordes, Christoph Reinders, Paul Hindricks, Jonas Lammers, Bodo Rosenhahn, Hellward Broszio:
RoadSaW: A Large-Scale Dataset for Camera-Based Road Surface and Wetness Estimation. CVPR Workshops 2022: 4439-4448 - [c5]Christoph Reinders, Frederik Schubert, Bodo Rosenhahn:
ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing. IJCAI 2022: 1298-1305 - [c4]Maximilian Schier, Christoph Reinders, Bodo Rosenhahn:
Constrained Mean Shift Clustering. SDM 2022: 235-243 - [i4]Christoph Reinders, Frederik Schubert, Bodo Rosenhahn:
Image Classification on Small Datasets via Masked Feature Mixing. CoRR abs/2202.11616 (2022) - [i3]Timo Kaiser, Lukas Ehmann, Christoph Reinders, Bodo Rosenhahn:
Blind Knowledge Distillation for Robust Image Classification. CoRR abs/2211.11355 (2022)
2010 – 2019
- 2019
- [i2]Christoph Reinders, Bodo Rosenhahn:
Neural Random Forest Imitation. CoRR abs/1911.10829 (2019) - 2018
- [c3]Florian Kluger, Christoph Reinders, Kevin Raetz, Philipp Schelske, Bastian Wandt, Hanno Ackermann, Bodo Rosenhahn:
Region-based Cycle-Consistent Data Augmentation for Object Detection. IEEE BigData 2018: 5205-5211 - [c2]Christoph Reinders, Hanno Ackermann, Michael Ying Yang
, Bodo Rosenhahn:
Object Recognition from very few Training Examples for Enhancing Bicycle Maps. Intelligent Vehicles Symposium 2018: 1-8 - 2017
- [i1]Christoph Reinders, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn:
Learning a Fully Convolutional Network for Object Recognition using very few Data. CoRR abs/1709.05910 (2017) - 2015
- [c1]Christoph Reinders, Florian Baumann, Björn Scheuermann, Arne Ehlers, Nicole Mühlpforte, Alfred Effenberg, Bodo Rosenhahn:
On-The-Fly Handwriting Recognition Using a High-Level Representation. CAIP (1) 2015: 1-13
Coauthor Index
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