Joshua Niemeijer

23 papers A 1Misc 1Journal 9Unranked 12
YearRankTypeTitle / Venue / Authors
2026 — conf
Abstract: Uncertainty-aware ControlNet Bridging Domain Gaps with Synthetic Image Generation.
Bildverarbeitung für die Medizin
Joshua Niemeijer, Jan Ehrhardt, Heinz Handels, Hristina Uzunova
2025 — conf
Abstract: TSynD Targeted Synthetic Data Generation for Enhanced Medical Image Classification - Leveraging Epistemic Uncertainty to Improve Model Performance.
Bildverarbeitung für die Medizin
Joshua Niemeijer, Jan Ehrhardt, Hristina Uzunova, Heinz Handels
2025 J jnl
Realistic Evaluation of Deep Active Learning for Image Classification and Semantic Segmentation.
Int. J. Comput. Vis.
Sudhanshu Mittal, Joshua Niemeijer, Özgün Çiçek, Maxim Tatarchenko, Jan Ehrhardt, Jörg P. Schäfer, Heinz Handels, Thomas Brox
2025 J jnl
Test-Time Modification: Inverse Domain Transformation for Robust Perception.
CoRR
Arpit Jadon, Joshua Niemeijer, Yuki M. Asano
2025 — conf
Uncertainty-Aware ControlNet: Bridging Domain Gaps with Synthetic Image Generation.
ICCVW
Joshua Niemeijer, Jan Ehrhardt, Heinz Handels, Hristina Uzunova
2025 J jnl
Uncertainty-Aware ControlNet: Bridging Domain Gaps with Synthetic Image Generation.
CoRR
Joshua Niemeijer, Jan Ehrhardt, Heinz Handels, Hristina Uzunova
2024 — conf
Abstract: Reducing Domain Shift in Deep Learning for OCT Segmentation using Image Manipulations.
Bildverarbeitung für die Medizin
Marc S. Seibel, Joshua Niemeijer, Marc Rowedder, Helge Sudkamp, Timo Kepp, Gereon Hüttmann, Heinz Handels
2024 A conf
Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation.
WACV
Joshua Niemeijer, Manuel Schwonberg, Jan-Aike Termöhlen, Nico M. Schmidt, Tim Fingscheidt
2024 J jnl
LNQ Challenge 2023: Learning Mediastinal Lymph Node Segmentation with a Probabilistic Lymph Node Atlas.
CoRR
Sofija Engelson, Jan Ehrhardt, Timo Kepp, Joshua Niemeijer, Heinz Handels
2024 — conf
TSynD: Targeted Synthetic Data Generation for Enhanced Medical Image Classification - Leveraging Epistemic Uncertainty to Improve Model Performance.
SASHIMI@MICCAI
Joshua Niemeijer, Jan Ehrhardt, Hristina Uzunova, Heinz Handels
2024 J jnl
TSynD: Targeted Synthetic Data Generation for Enhanced Medical Image Classification.
CoRR
Joshua Niemeijer, Jan Ehrhardt, Hristina Uzunova, Heinz Handels
2023 — conf
An Approach for Fusing Two Training-Datasets with Partially Overlapping Classes.
ICSC
Joshua Niemeijer, Federico Battistella, Gurucharan Srinivas, Andreas Leich
2023 — conf
Best Practices in Active Learning for Semantic Segmentation.
DAGM
Sudhanshu Mittal, Joshua Niemeijer, Jörg P. Schäfer, Thomas Brox
2023 J jnl
Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation.
CoRR
Joshua Niemeijer, Manuel Schwonberg, Jan-Aike Termöhlen, Nico M. Schmidt, Tim Fingscheidt
2023 — conf
Overcoming the sensor delta for semantic segmentation in OCT images.
Computer-Aided Diagnosis
Joshua Niemeijer, Jan Ehrhardt, Timo Kepp, Jörg P. Schäfer, Heinz Handels
2023 J jnl
Revisiting Deep Active Learning for Semantic Segmentation.
CoRR
Sudhanshu Mittal, Joshua Niemeijer, Jörg P. Schäfer, Thomas Brox
2023 J jnl
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving.
IEEE Access
Manuel Schwonberg, Joshua Niemeijer, Jan-Aike Termöhlen, Jörg P. Schäfer, Nico M. Schmidt, Hanno Gottschalk, Tim Fingscheidt
2023 J jnl
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving.
CoRR
Manuel Schwonberg, Joshua Niemeijer, Jan-Aike Termöhlen, Jörg P. Schäfer, Nico M. Schmidt, Hanno Gottschalk, Tim Fingscheidt
2023 — conf
Synthetic Dataset Acquisition for a Specific Target Domain.
ICCV (Workshops)
Joshua Niemeijer, Sudhanshu Mittal, Thomas Brox
2022 Misc conf
Domain Adaptation and Generalization: A Low-Complexity Approach.
CoRL
Joshua Niemeijer, Jörg Peter Schäfer
2021 — conf
Combining Semantic Self-Supervision and Self-Training for Domain Adaptation in Semantic Segmentation.
IV Workshops
Joshua Niemeijer, Jörg P. Schäfer
2021 — conf
Deep Neural Networks for Railway Switch Detection and Classification Using Onboard Camera Images.
SSCI
Kanwal Jahan, Joshua Niemeijer, Nils Kornfeld, Michael Roth
2019 — conf
A System for Image-Based Non-Line-Of-Sight Detection Using Convolutional Neural Networks.
ITSC
Clarissa Böker, Joshua Niemeijer, Nicolai Wojke, Cyril Meurie, Yann Cocheril