| 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 | HCI | An Exploratory Inspection of the Detection Quality of Pose and Object Detection Systems by Synthetic Data. | Robert Manthey, Falk Schmidsberger, Rico Thomanek, Christian Roschke, Tony Rolletschke, Benny Platte, Marc Ritter, 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 |
| 2017 | GI | Acoustic Event Classification Using Convolutional Neural Networks. | Stefan Kahl, Hussein Hussein, Etienne Fabian, Jan Schlohauer, Enniyan Thangaraju, Danny Kowerko, Maximilian Eibl |
| 2017 | GI | WS34 - Deep Learning in heterogenen Datenbestnden. | Danny Kowerko, Stefan Kahl |
| 2017 | GI | Fast and accurate creation of annotated head pose image test beds as prerequisite for training neural networks. | Danny Kowerko, Robert Manthey, Marcel Heinz, Thomas Kronfeld, Guido Brunnett |
| 2017 | GI | Evaluation of CNN-based algorithms for human pose analysis of persons in red carpet scenarios. | Danny Kowerko, Daniel Richter, Manuel Heinzig, Stefan Kahl, Stefan Helmert, Guido Brunnett |
| 2017 | GI | Preparing clinical ophthalmic data for research application. | Miriam Rner, Stefan Kahl, Katrin Engelmann, Danny Kowerko |
| 2017 | HCI | An Exploratory Comparison of the Visual Quality of Virtual Reality Systems Based on Device-Independent Testsets. | Robert Manthey, Marc Ritter, Manuel Heinzig, 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 |