Joshua Niemeijer

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Semantic Segmentation

Top Venues

Publications

Joshua Niemeijer, Manuel Schwonberg, Jan-Aike Termöhlen, Nico M. Schmidt, Tim Fingscheidt
Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation. WACV (2024)
Sofija Engelson, Jan Ehrhardt, Timo Kepp, Joshua Niemeijer, Heinz Handels
LNQ Challenge 2023: Learning Mediastinal Lymph Node Segmentation with a Probabilistic Lymph Node Atlas. CoRR (2024)
Marc S. Seibel, Joshua Niemeijer, Marc Rowedder, Helge Sudkamp, Timo Kepp, Gereon Hüttmann, Heinz Handels
Abstract: Reducing Domain Shift in Deep Learning for OCT Segmentation using Image Manipulations. Bildverarbeitung für die Medizin (2024)
Joshua Niemeijer, Jan Ehrhardt, Hristina Uzunova, Heinz Handels
TSynD: Targeted Synthetic Data Generation for Enhanced Medical Image Classification. CoRR (2024)
Joshua Niemeijer, Sudhanshu Mittal, Thomas Brox
Synthetic Dataset Acquisition for a Specific Target Domain. ICCV (Workshops) (2023)
Joshua Niemeijer, Jan Ehrhardt, Timo Kepp, Jörg P. Schäfer, Heinz Handels
Overcoming the sensor delta for semantic segmentation in OCT images. Medical Imaging: Computer-Aided Diagnosis (2023)
Sudhanshu Mittal, Joshua Niemeijer, Jörg P. Schäfer, Thomas Brox
Revisiting Deep Active Learning for Semantic Segmentation. CoRR (2023)
Manuel Schwonberg, Joshua Niemeijer, Jan-Aike Termöhlen, Jörg P. Schäfer, Nico M. Schmidt, Hanno Gottschalk, Tim Fingscheidt
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving. CoRR (2023)
Manuel Schwonberg, Joshua Niemeijer, Jan-Aike Termöhlen, Jörg P. Schäfer, Nico M. Schmidt, Hanno Gottschalk, Tim Fingscheidt
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving. IEEE Access 11 (2023)
Joshua Niemeijer, Manuel Schwonberg, Jan-Aike Termöhlen, Nico M. Schmidt, Tim Fingscheidt
Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation. CoRR (2023)
Sudhanshu Mittal, Joshua Niemeijer, Jörg P. Schäfer, Thomas Brox
Best Practices in Active Learning for Semantic Segmentation. DAGM (2023)
Joshua Niemeijer, Federico Battistella, Gurucharan Srinivas, Andreas Leich
An Approach for Fusing Two Training-Datasets with Partially Overlapping Classes. ICSC (2023)
Joshua Niemeijer, Jörg Peter Schäfer
Domain Adaptation and Generalization: A Low-Complexity Approach. CoRL (2022)
Kanwal Jahan, Joshua Niemeijer, Nils Kornfeld, Michael Roth
Deep Neural Networks for Railway Switch Detection and Classification Using Onboard Camera Images. SSCI (2021)
Joshua Niemeijer, Jörg P. Schäfer
Combining Semantic Self-Supervision and Self-Training for Domain Adaptation in Semantic Segmentation. IV Workshops (2021)
Clarissa Böker, Joshua Niemeijer, Nicolai Wojke, Cyril Meurie, Yann Cocheril
A System for Image-Based Non-Line-Of-Sight Detection Using Convolutional Neural Networks. ITSC (2019)