Christoph Reinders

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 13

Top Topics

Feature Extractors

Semantic Segmentation

Image Classification

Reinforcement Learning

Top Venues

Publications

Maximilian Schier, Christoph Reinders, Bodo Rosenhahn
Deep Reinforcement Learning for Autonomous Driving using High-Level Heterogeneous Graph Representations. ICRA (2023)
Timo Kaiser, Christoph Reinders, Bodo Rosenhahn
Compensation Learning in Semantic Segmentation. CVPR Workshops (2023)
Maximilian Schier, Christoph Reinders, Bodo Rosenhahn
Learned Fourier Bases for Deep Set Feature Extractors in Automotive Reinforcement Learning. ITSC (2023)
Timo Kaiser, Christoph Reinders, Bodo Rosenhahn
Compensation Learning in Semantic Segmentation. CoRR (2023)
Maximilian Schier, Christoph Reinders, Bodo Rosenhahn
Constrained Mean Shift Clustering. SDM (2022)
Christoph Reinders, Frederik Schubert, Bodo Rosenhahn
ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing. IJCAI (2022)
Christoph Reinders, Frederik Schubert, Bodo Rosenhahn
Image Classification on Small Datasets via Masked Feature Mixing. CoRR (2022)
Timo Kaiser, Lukas Ehmann, Christoph Reinders, Bodo Rosenhahn
Blind Knowledge Distillation for Robust Image Classification. CoRR (2022)
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)
Christoph Reinders, Bodo Rosenhahn
Neural Random Forest Imitation. CoRR (2019)
Christoph Reinders, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn
Object Recognition from very few Training Examples for Enhancing Bicycle Maps. Intelligent Vehicles Symposium (2018)
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)
Christoph Reinders, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn
Learning a Fully Convolutional Network for Object Recognition using very few Data. CoRR (2017)
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)