Tobias Schlagenhauf

According to our database, Tobias Schlagenhauf authored at least 11 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Discriminative feature learning through feature distance loss.

Tobias Schlagenhauf, Yiwen Lin, Benjamin Noack

Mach. Vis. Appl., March, 2023

2022

Convolutional-Based Encoder-Decoder Network for Time Series Anomaly Detection during the Milling of 16MnCr5.

Tobias Schlagenhauf, Jan Wolf, Alexander Puchta

Data, 2022

Cross-domain Transfer of defect features in technical domains based on partial target data.

Tobias Schlagenhauf, Tim Scheurenbrand

CoRR, 2022

Text Detection on Technical Drawings for the Digitization of Brown-field Processes.

Tobias Schlagenhauf, Markus Netzer, Jan Hillinger

CoRR, 2022

Siamese Basis Function Networks for Data-Efficient Defect Classification in Technical Domains.

Tobias Schlagenhauf, Faruk Yildirim, Benedikt Brückner

Proceedings of the Software Engineering and Formal Methods. SEFM 2022 Collocated Workshops, 2022

2021

Intelligent Vision Based Wear Forecasting on Surfaces of Machine Tool Elements.

Tobias Schlagenhauf, Niklas Burghardt, Jürgen Fleischer

CoRR, 2021

Industrial Machine Tool Component Surface Defect Dataset.

Tobias Schlagenhauf, Magnus Landwehr, Jürgen Fleischer

CoRR, 2021

2020

Siamese Basis Function Networks for Defect Classification.

Tobias Schlagenhauf, Faruk Yildirim, Benedikt Brückner, Jürgen Fleischer

CoRR, 2020

A Stitching Algorithm for Automated Surface Inspection of Rotationally Symmetric Components.

Tobias Schlagenhauf, Tim Brander, Jürgen Fleischer

CoRR, 2020

GAN based ball screw drive picture database enlargement for failure classification.

Tobias Schlagenhauf, Chenwei Sun, Jürgen Fleischer

CoRR, 2020

Context-based Image Segment Labeling (CBISL).

Tobias Schlagenhauf, Yefeng Xia, Jürgen Fleischer

CoRR, 2020