Christoph Reinders

According to our database, Christoph Reinders authored at least 13 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Learned Fourier Bases for Deep Set Feature Extractors in Automotive Reinforcement Learning.

Maximilian Schier, Christoph Reinders, Bodo Rosenhahn

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Deep Reinforcement Learning for Autonomous Driving using High-Level Heterogeneous Graph Representations.

Maximilian Schier, Christoph Reinders, Bodo Rosenhahn

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Compensation Learning in Semantic Segmentation.

Timo Kaiser, Christoph Reinders, Bodo Rosenhahn

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Blind Knowledge Distillation for Robust Image Classification.

Timo Kaiser, Lukas Ehmann, Christoph Reinders, Bodo Rosenhahn

CoRR, 2022

Image Classification on Small Datasets via Masked Feature Mixing.

Christoph Reinders, Frederik Schubert, Bodo Rosenhahn

CoRR, 2022

Constrained Mean Shift Clustering.

Maximilian Schier, Christoph Reinders, Bodo Rosenhahn

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing.

Christoph Reinders, Frederik Schubert, Bodo Rosenhahn

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

RoadSaW: A Large-Scale Dataset for Camera-Based Road Surface and Wetness Estimation.

Kai Cordes, Christoph Reinders, Paul Hindricks, Jonas Lammers, Bodo Rosenhahn, Hellward Broszio

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2019

Neural Random Forest Imitation.

Christoph Reinders, Bodo Rosenhahn

CoRR, 2019

2018

Object Recognition from very few Training Examples for Enhancing Bicycle Maps.

Christoph Reinders, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Region-based Cycle-Consistent Data Augmentation for Object Detection.

Florian Kluger, Christoph Reinders, Kevin Raetz, Philipp Schelske, Bastian Wandt, Hanno Ackermann, Bodo Rosenhahn

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Learning a Fully Convolutional Network for Object Recognition using very few Data.

Christoph Reinders, Hanno Ackermann, Michael Ying Yang, Bodo Rosenhahn

CoRR, 2017

2015

On-The-Fly Handwriting Recognition Using a High-Level Representation.

Christoph Reinders, Florian Baumann, Björn Scheuermann, Arne Ehlers, Nicole Mühlpforte, Alfred Effenberg, Bodo Rosenhahn

Proceedings of the Computer Analysis of Images and Patterns, 2015