Multitask Network for Joint Object Detection, Semantic Segmentation and Human Pose Estimation in Vehicle Occupancy Monitoring. - Nikolas Ebert; Patrick Mangat; Oliver Wasenmüller (IV, 2022)

Transformer-based Detection of Microorganisms on High-Resolution Petri Dish Images. - Nikolas Ebert; Didier Stricker; Oliver Wasenmüller (ICCV (Workshops), 2023)

360° from a Single Camera: A Few-Shot Approach for LiDAR Segmentation. - Laurenz Reichardt; Nikolas Ebert; Oliver Wasenmüller (ICCV (Workshops), 2023)

Light-Weight Vision Transformer with Parallel Local and Global Self-Attention. - Nikolas Ebert; Laurenz Reichardt; Didier Stricker; Oliver Wasenmüller (ITSC, 2023)

PLG-ViT: Vision Transformer with Parallel Local and Global Self-Attention. - Nikolas Ebert; Didier Stricker; Oliver Wasenmüller (Sensors, 2023)

Boosting Few-Shot Detection with Large Language Models and Layout-to-Image Synthesis. - Ahmed Abdullah; Nikolas Ebert; Oliver Wasenmüller (ACCV (7), 2024)

GenFormer - Generated Images Are All You Need to Improve Robustness of Transformers on Small Datasets. - Sven Oehri; Nikolas Ebert; Ahmed Abdullah; Didier Stricker; Oliver Wasenmüller (ICPR (2), 2024)

Classifier Ensemble for Efficient Uncertainty Calibration of Deep Neural Networks for Image Classification. - Michael Schulze; Nikolas Ebert; Laurenz Reichardt; Oliver Wasenmüller (VISIGRAPP (2): VISAPP, 2025)

D-PLS: Decoupled Semantic Segmentation for 4D-Panoptic-LiDAR-Segmentation. - Maik Steinhauser; Laurenz Reichardt; Nikolas Ebert; Oliver Wasenmüller (VISIGRAPP (2): VISAPP, 2025)

Enhancing robustness and generalization in microbiological few-shot detection through synthetic data generation and contrastive learning. - Nikolas Ebert; Didier Stricker; Oliver Wasenmüller (Comput. Biol. Medicine, 2025)