Tobias Schlosser

25 papers A 1B 1C 4Journal 14Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Simulation of semiconductor wafer dicing induced faults on chips and their application as augmentation method for a deep learning based visual inspection system.
J. Intell. Manuf.
Michael Friedrich, Tobias Schlosser, Danny Kowerko
2024 J jnl
A Meta Algorithm for Interpretable Ensemble Learning: The League of Experts.
Mach. Learn. Knowl. Extr.
Richard Vogel, Tobias Schlosser, Robert Manthey, Marc Ritter, Matthias Vodel, Maximilian Eibl, Kristan Alexander Schneider
2024 A conf
Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study.
WACV
André Luiz Buarque Vieira e Silva, Francisco Simões, Danny Kowerko, Tobias Schlosser, Felipe Battisti, Veronica Teichrieb
2024 J jnl
Attention Modules Improve Modern Image-Level Anomaly Detection: A DifferNet Case Study.
CoRR
André Luiz Buarque Vieira e Silva, Francisco Simões, Danny Kowerko, Tobias Schlosser, Felipe Battisti, Veronica Teichrieb
2024 — —
Biologically Inspired Hexagonal Deep Learning for Hexagonal Image Processing.
Tobias Schlosser
2024 J jnl
Hexagonal Image Processing for Computer Vision With Hexnet: A Hexagonal Image Processing Data Set and Generator.
IEEE Access
Tobias Schlosser, Michael Friedrich, Trixy Meyer, Maximilian Eibl, Danny Kowerko
2024 J jnl
Improving learning-based birdsong classification by utilizing combined audio augmentation strategies.
Ecol. Informatics
Arunodhayan Sampath Kumar, Tobias Schlosser, Stefan Kahl, Danny Kowerko
2024 J jnl
Investigating the Challenges and Opportunities in Persian Language Information Retrieval through Standardized Data Collections and Deep Learning.
Comput.
Sara Moniri, Tobias Schlosser, Danny Kowerko
2024 — conf
TUC Media Computing at BirdCLEF 2024: Improving Birdsong Classification Through Single Learning Models.
CLEF (Working Notes)
Arunodhayan Sampath Kumar, Tobias Schlosser, Danny Kowerko
2024 — conf
Towards Standardizing Ophthalmic Data for Seamless Interoperability in Eye Care.
GMDS
Katja Hoffmann, Yuan Peng, Tobias Schlosser, Gabriel Stolze, Holger Langner, Marcel Susky, Trixy Meyer, Marc Ritter, Danny Kowerko, Vinodh Kakkassery, Markus Wolfien, Martin Sedlmayr
2024 C conf
Utilizing Generative Adversarial Networks for Image Data Augmentation and Classification of Semiconductor Wafer Dicing Induced Defects.
ETFA
Zhining Hu, Tobias Schlosser, Michael Friedrich, André Luiz Buarque Vieira e Silva, Frederik Beuth, Danny Kowerko
2024 J jnl
Utilizing Generative Adversarial Networks for Image Data Augmentation and Classification of Semiconductor Wafer Dicing Induced Defects.
CoRR
Zhining Hu, Tobias Schlosser, Michael Friedrich, André Luiz Buarque Vieira e Silva, Frederik Beuth, Danny Kowerko
2023 J jnl
Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study.
CoRR
André Luiz Buarque Vieira e Silva, Francisco Simões, Danny Kowerko, Tobias Schlosser, Felipe Battisti, Veronica Teichrieb
2022 J jnl
Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks.
J. Intell. Manuf.
Tobias Schlosser, Michael Friedrich, Frederik Beuth, Danny Kowerko
2022 J jnl
Visual Acuity Prediction on Real-Life Patient Data Using a Machine Learning Based Multistage System.
CoRR
Tobias Schlosser, Frederik Beuth, Trixy Meyer, Arunodhayan Sampath Kumar, Gabriel Stolze, Olga Furashova, Katrin Engelmann, Danny Kowerko
2021 J jnl
Biologically Inspired Hexagonal Deep Learning for Hexagonal Image Generation.
CoRR
Tobias Schlosser, Frederik Beuth, Danny Kowerko
2021 J jnl
Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning.
CoRR
Frederik Beuth, Tobias Schlosser, Michael Friedrich, Danny Kowerko
2020 B conf
Biologically Inspired Hexagonal Deep Learning For Hexagonal Image Generation.
ICIP
Tobias Schlosser, Frederik Beuth, Danny Kowerko
2020 C conf
Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning.
IECON
Frederik Beuth, Tobias Schlosser, Michael Friedrich, Danny Kowerko
2019 C conf
A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks.
ETFA
Tobias Schlosser, Frederik Beuth, Michael Friedrich, Danny Kowerko
2019 J jnl
A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks.
CoRR
Tobias Schlosser, Frederik Beuth, Michael Friedrich, Danny Kowerko
2019 C conf
Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework.
ICMLA
Tobias Schlosser, Michael Friedrich, Danny Kowerko
2019 J jnl
Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework.
CoRR
Tobias Schlosser, Michael Friedrich, Danny Kowerko
2019 — conf
University of Applied Sciences Mittweida and Chemnitz University of Technology at TRECVID ActEv 2019.
TRECVID
Rico Thomanek, Christian Roschke, Benny Platte, Tony Rolletschke, Tobias Schlosser, Manuel Heinzig, Matthias Vodel, Danny Kowerko, Frank Zimmer, Maximilian Eibl, Marc Ritter
2016 — conf
Simplifying Accessibility Without Data Loss: An Exploratory Study on Object Preserving Keyframe Culling.
HCI (9)
Marc Ritter, Danny Kowerko, Hussein Hussein, Manuel Heinzig, Tobias Schlosser, Robert Manthey, Gisela Susanne Bahr