Christoph Reinders

20 papers A* 3A 2B 1Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — —
Deep learning with very few training examples.
Christoph Reinders
2025 J jnl
HydraMix: Multi-Image Feature Mixing for Small Data Image Classification.
CoRR
Christoph Reinders, Frederik Schubert, Bodo Rosenhahn
2025 J jnl
Multi-Agent Reinforcement Learning for Inverse Design in Photonic Integrated Circuits.
CoRR
Yannik Mahlau, Maximilian Schier, Christoph Reinders, Frederik Schubert, Marco Bügling, Bodo Rosenhahn
2025 A conf
RAW-Diffusion: RGB-Guided Diffusion Models for High-Fidelity RAW Image Generation.
WACV
Christoph Reinders, Radu Berdan, Beril Besbinar, Junji Otsuka, Daisuke Iso
2025 A* conf
ReRAW: RGB-to-RAW Image Reconstruction via Stratified Sampling for Efficient Object Detection on the Edge.
CVPR
Radu Berdan, Beril Besbinar, Christoph Reinders, Junji Otsuka, Daisuke Iso
2024 J jnl
RAW-Diffusion: RGB-Guided Diffusion Models for High-Fidelity RAW Image Generation.
CoRR
Christoph Reinders, Radu Berdan, Beril Besbinar, Junji Otsuka, Daisuke Iso
2023 — conf
Compensation Learning in Semantic Segmentation.
CVPR Workshops
Timo Kaiser, Christoph Reinders, Bodo Rosenhahn
2023 J jnl
Compensation Learning in Semantic Segmentation.
CoRR
Timo Kaiser, Christoph Reinders, Bodo Rosenhahn
2023 A* conf
Deep Reinforcement Learning for Autonomous Driving using High-Level Heterogeneous Graph Representations.
ICRA
Maximilian Schier, Christoph Reinders, Bodo Rosenhahn
2023 — conf
Learned Fourier Bases for Deep Set Feature Extractors in Automotive Reinforcement Learning.
ITSC
Maximilian Schier, Christoph Reinders, Bodo Rosenhahn
2022 J jnl
Blind Knowledge Distillation for Robust Image Classification.
CoRR
Timo Kaiser, Lukas Ehmann, Christoph Reinders, Bodo Rosenhahn
2022 A* conf
ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing.
IJCAI
Christoph Reinders, Frederik Schubert, Bodo Rosenhahn
2022 A conf
Constrained Mean Shift Clustering.
SDM
Maximilian Schier, Christoph Reinders, Bodo Rosenhahn
2022 J jnl
Image Classification on Small Datasets via Masked Feature Mixing.
CoRR
Christoph Reinders, Frederik Schubert, Bodo Rosenhahn
2022 — conf
RoadSaW: A Large-Scale Dataset for Camera-Based Road Surface and Wetness Estimation.
CVPR Workshops
Kai Cordes, Christoph Reinders, Paul Hindricks, Jonas Lammers, Bodo Rosenhahn, Hellward Broszio
2019 J jnl
Neural Random Forest Imitation.
CoRR
Christoph Reinders, Bodo Rosenhahn
2018 B conf
Object Recognition from very few Training Examples for Enhancing Bicycle Maps.
Intelligent Vehicles Symposium
Christoph Reinders, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn
2018 — conf
Region-based Cycle-Consistent Data Augmentation for Object Detection.
IEEE BigData
Florian Kluger, Christoph Reinders, Kevin Raetz, Philipp Schelske, Bastian Wandt, Hanno Ackermann, Bodo Rosenhahn
2017 J jnl
Learning a Fully Convolutional Network for Object Recognition using very few Data.
CoRR
Christoph Reinders, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn
2015 — conf
On-The-Fly Handwriting Recognition Using a High-Level Representation.
CAIP (1)
Christoph Reinders, Florian Baumann, Björn Scheuermann, Arne Ehlers, Nicole Mühlpforte, Alfred Effenberg, Bodo Rosenhahn