| 2025 | ICML | FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks. | Laines Schmalwasser, Niklas Penzel, Joachim Denzler, Julia Niebling |
| 2024 | ICPR | Exploiting Text-Image Latent Spaces for the Description of Visual Concepts. | Laines Schmalwasser, Jakob Gawlikowski, Joachim Denzler, Julia Niebling |
| 2024 | ICPR | Functional Tensor Decompositions for Physics-Informed Neural Networks. | Sai Karthikeya Vemuri, Tim Bchner, Julia Niebling, Joachim Denzler |
| 2022 | IGARSS | Robust Distribution-Shift Aware Sar-Optical data Fusion for Multi-Label Scene Classification. | Jakob Gawlikowski, Sudipan Saha, Julia Niebling, Xiao Xiang Zhu |
| 2022 | IGARSS | Analysing the Interactions Between Training Dataset Size, Label Noise and Model Performance in Remote Sensing Data. | Jonas Gtter, Julia Niebling, Xiao Xiang Zhu |
| 2020 | EDCC | Analysis of Railway Track Irregularities with Convolutional Autoencoders and Clustering Algorithms. | Julia Niebling, Benjamin Baasch, Anna M. Kruspe |
| 2015 | IJCNN | Evaluation of multi feature fusion at score-level for appearance-based person re-identification. | Markus Eisenbach, Alexander Kolarow, Alexander Vorndran, Julia Niebling, Horst-Michael Gross |