Tobias Schlosser

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 19

Top Topics

Biologically Inspired

Convolutional Neural Networks

Top Venues

Publications

Arunodhayan Sampath Kumar, Tobias Schlosser, Danny Kowerko
TUC Media Computing at BirdCLEF 2024: Improving Birdsong Classification Through Single Learning Models. CLEF (Working Notes) (2024)
André Luiz Buarque Vieira e Silva, Francisco Simões, Danny Kowerko, Tobias Schlosser, Felipe Battisti, Veronica Teichrieb
Attention Modules Improve Modern Image-Level Anomaly Detection: A DifferNet Case Study. CoRR (2024)
André Luiz Buarque Vieira e Silva, Francisco Simões, Danny Kowerko, Tobias Schlosser, Felipe Battisti, Veronica Teichrieb
Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study. WACV (2024)
Arunodhayan Sampath Kumar, Tobias Schlosser, Stefan Kahl, Danny Kowerko
Improving learning-based birdsong classification by utilizing combined audio augmentation strategies. Ecol. Informatics 82 (2024)
Zhining Hu, Tobias Schlosser, Michael Friedrich, André Luiz Buarque Vieira e Silva, Frederik Beuth, Danny Kowerko
Utilizing Generative Adversarial Networks for Image Data Augmentation and Classification of Semiconductor Wafer Dicing Induced Defects. CoRR (2024)
Richard Vogel, Tobias Schlosser, Robert Manthey, Marc Ritter, Matthias Vodel, Maximilian Eibl, Kristan Alexander Schneider
A Meta Algorithm for Interpretable Ensemble Learning: The League of Experts. Mach. Learn. Knowl. Extr. 6 (2) (2024)
André Luiz Buarque Vieira e Silva, Francisco Simões, Danny Kowerko, Tobias Schlosser, Felipe Battisti, Veronica Teichrieb
Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study. CoRR (2023)
Tobias Schlosser, Frederik Beuth, Trixy Meyer, Arunodhayan Sampath Kumar, Gabriel Stolze, Olga Furashova, Katrin Engelmann, Danny Kowerko
Visual Acuity Prediction on Real-Life Patient Data Using a Machine Learning Based Multistage System. CoRR (2022)
Tobias Schlosser, Michael Friedrich, Frederik Beuth, Danny Kowerko
Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks. J. Intell. Manuf. 33 (4) (2022)
Frederik Beuth, Tobias Schlosser, Michael Friedrich, Danny Kowerko
Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning. CoRR (2021)
Tobias Schlosser, Frederik Beuth, Danny Kowerko
Biologically Inspired Hexagonal Deep Learning for Hexagonal Image Generation. CoRR (2021)
Frederik Beuth, Tobias Schlosser, Michael Friedrich, Danny Kowerko
Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning. IECON (2020)
Tobias Schlosser, Frederik Beuth, Danny Kowerko
Biologically Inspired Hexagonal Deep Learning For Hexagonal Image Generation. ICIP (2020)
Tobias Schlosser, Frederik Beuth, Michael Friedrich, Danny Kowerko
A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks. CoRR (2019)
Rico Thomanek, Christian Roschke, Benny Platte, Tony Rolletschke, Tobias Schlosser, Manuel Heinzig, Matthias Vodel, Danny Kowerko, Frank Zimmer, Maximilian Eibl, Marc Ritter
University of Applied Sciences Mittweida and Chemnitz University of Technology at TRECVID ActEv 2019. TRECVID (2019)
Tobias Schlosser, Michael Friedrich, Danny Kowerko
Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework. ICMLA (2019)
Tobias Schlosser, Frederik Beuth, Michael Friedrich, Danny Kowerko
A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks. ETFA (2019)
Tobias Schlosser, Michael Friedrich, Danny Kowerko
Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework. CoRR (2019)
Marc Ritter, Danny Kowerko, Hussein Hussein, Manuel Heinzig, Tobias Schlosser, Robert Manthey, Gisela Susanne Bahr
Simplifying Accessibility Without Data Loss: An Exploratory Study on Object Preserving Keyframe Culling. HCI (9) (2016)