Nikolas Ebert
Orcid: 0000-0002-2971-1012
According to our database1,
Nikolas Ebert authored at least 13 papers
between 2022 and 2026.
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Bibliography
2026
IonMorphNet: Generalizable Learning of Ion Image Morphologies for Peak Picking in Mass Spectrometry Imaging.
CoRR, April, 2026
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification.
CoRR, April, 2026
Spatial self-supervised Peak Learning and correlation-based Evaluation of peak picking in Mass Spectrometry Imaging.
CoRR, March, 2026
2025
Enhancing robustness and generalization in microbiological few-shot detection through synthetic data generation and contrastive learning.
Comput. Biol. Medicine, 2025
Proceedings of the 20th International Joint Conference on Computer Vision, 2025
Classifier Ensemble for Efficient Uncertainty Calibration of Deep Neural Networks for Image Classification.
Proceedings of the 20th International Joint Conference on Computer Vision, 2025
2024
GenFormer - Generated Images Are All You Need to Improve Robustness of Transformers on Small Datasets.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Boosting Few-Shot Detection with Large Language Models and Layout-to-Image Synthesis.
Proceedings of the Computer Vision - ACCV 2024, 2024
2023
Sensors, April, 2023
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Multitask Network for Joint Object Detection, Semantic Segmentation and Human Pose Estimation in Vehicle Occupancy Monitoring.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022