Context-based Image Segment Labeling (CBISL). - Tobias Schlagenhauf; Yefeng Xia; Jürgen Fleischer (CoRR, 2020)

GAN based ball screw drive picture database enlargement for failure classification. - Tobias Schlagenhauf; Chenwei Sun; Jürgen Fleischer (CoRR, 2020)

A Stitching Algorithm for Automated Surface Inspection of Rotationally Symmetric Components. - Tobias Schlagenhauf; Tim Brander; Jürgen Fleischer (CoRR, 2020)

Siamese Basis Function Networks for Defect Classification. - Tobias Schlagenhauf; Faruk Yildirim; Benedikt Brückner; Jürgen Fleischer (CoRR, 2020)

Industrial Machine Tool Component Surface Defect Dataset. - Tobias Schlagenhauf; Magnus Landwehr; Jürgen Fleischer (CoRR, 2021)

Intelligent Vision Based Wear Forecasting on Surfaces of Machine Tool Elements. - Tobias Schlagenhauf; Niklas Burghardt; Jürgen Fleischer (CoRR, 2021)

Siamese Basis Function Networks for Data-Efficient Defect Classification in Technical Domains. - Tobias Schlagenhauf; Faruk Yildirim; Benedikt Brückner (SEFM Workshops, 2022)

Text Detection on Technical Drawings for the Digitization of Brown-field Processes. - Tobias Schlagenhauf; Markus Netzer; Jan Hillinger (CoRR, 2022)

Cross-domain Transfer of defect features in technical domains based on partial target data. - Tobias Schlagenhauf; Tim Scheurenbrand (CoRR, 2022)

Convolutional-Based Encoder-Decoder Network for Time Series Anomaly Detection during the Milling of 16MnCr5. - Tobias Schlagenhauf; Jan Wolf; Alexander Puchta (Data, 2022)

Discriminative feature learning through feature distance loss. - Tobias Schlagenhauf; Yiwen Lin; Benjamin Noack (Mach. Vis. Appl., 2023)

Slowing Down Forgetting in Continual Learning. - Pascal Janetzky; Tobias Schlagenhauf; Stefan Feuerriegel (CoRR, 2024)

Federated Learning with Heterogeneous Feature Adaptation for Human Activity Recognition. - Jiaqi Wang; Tobias Schlagenhauf; Setareh Maghsudi (ICASSP, 2025)