| 2024 | ETFA | Utilizing Generative Adversarial Networks for Image Data Augmentation and Classification of Semiconductor Wafer Dicing Induced Defects. | Zhining Hu, Tobias Schlosser, Michael Friedrich, Andr Luiz Buarque Vieira e Silva, Frederik Beuth, Danny Kowerko |
| 2024 | WACV | Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study. | Andr Luiz Buarque Vieira e Silva, Francisco Simes, Danny Kowerko, Tobias Schlosser, Felipe Battisti, Veronica Teichrieb |
| 2020 | ICIP | Biologically Inspired Hexagonal Deep Learning For Hexagonal Image Generation. | Tobias Schlosser, Frederik Beuth, Danny Kowerko |
| 2020 | IECON | Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning. | Frederik Beuth, Tobias Schlosser, Michael Friedrich, Danny Kowerko |
| 2019 | ETFA | A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks. | Tobias Schlosser, Frederik Beuth, Michael Friedrich, Danny Kowerko |
| 2019 | ICMLA | Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework. | Tobias Schlosser, Michael Friedrich, Danny Kowerko |
| 2016 | HCI | Simplifying Accessibility Without Data Loss: An Exploratory Study on Object Preserving Keyframe Culling. | Marc Ritter, Danny Kowerko, Hussein Hussein, Manuel Heinzig, Tobias Schlosser, Robert Manthey, Gisela Susanne Bahr |