Joshua Niemeijer

According to our database, Joshua Niemeijer authored at least 12 papers between 2019 and 2024.

Collaborative distances:

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

2024

Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation.

Joshua Niemeijer, Manuel Schwonberg, Jan-Aike Termöhlen, Nico M. Schmidt, Tim Fingscheidt

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Abstract: Reducing Domain Shift in Deep Learning for OCT Segmentation using Image Manipulations.

Marc S. Seibel, Joshua Niemeijer, Marc Rowedder, Helge Sudkamp, Timo Kepp, Gereon Hüttmann, Heinz Handels

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

Revisiting Deep Active Learning for Semantic Segmentation.

Sudhanshu Mittal, Joshua Niemeijer, Jörg P. Schäfer, Thomas Brox

CoRR, 2023

Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving.

Manuel Schwonberg, Joshua Niemeijer, Jan-Aike Termöhlen, Jörg P. Schäfer, Nico M. Schmidt, Hanno Gottschalk, Tim Fingscheidt

IEEE Access, 2023

An Approach for Fusing Two Training-Datasets with Partially Overlapping Classes.

Joshua Niemeijer, Federico Battistella, Gurucharan Srinivas, Andreas Leich

Proceedings of the 17th IEEE International Conference on Semantic Computing, 2023

Overcoming the sensor delta for semantic segmentation in OCT images.

Joshua Niemeijer, Jan Ehrhardt, Timo Kepp, Jörg P. Schäfer, Heinz Handels

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

Synthetic Dataset Acquisition for a Specific Target Domain.

Joshua Niemeijer, Sudhanshu Mittal, Thomas Brox

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Best Practices in Active Learning for Semantic Segmentation.

Sudhanshu Mittal, Joshua Niemeijer, Jörg P. Schäfer, Thomas Brox

Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

2022

Domain Adaptation and Generalization: A Low-Complexity Approach.

Joshua Niemeijer, Jörg Peter Schäfer

Proceedings of the Conference on Robot Learning, 2022

2021

Deep Neural Networks for Railway Switch Detection and Classification Using Onboard Camera Images.

Kanwal Jahan, Joshua Niemeijer, Nils Kornfeld, Michael Roth

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Combining Semantic Self-Supervision and Self-Training for Domain Adaptation in Semantic Segmentation.

Joshua Niemeijer, Jörg P. Schäfer

Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

2019

A System for Image-Based Non-Line-Of-Sight Detection Using Convolutional Neural Networks.

Clarissa Böker, Joshua Niemeijer, Nicolai Wojke, Cyril Meurie, Yann Cocheril

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019