27 citations · 38 across the 6 of their papers we have counts for
6 papers
On the Transfer of Collinearity to Computer Vision
Frederik Beuth, Danny Kowerko
Collinearity is a visual perception phenomenon in the human brain that amplifies spatially aligned edges arranged along a straight line. However, it is vague for which purpose huma…
Utilizing Generative Adversarial Networks for Image Data Augmentation and Classification of Semiconductor Wafer Dicing Induced Defects
Zhining Hu, Tobias Schlosser, Michael Friedrich +3
In semiconductor manufacturing, the wafer dicing process is central yet vulnerable to defects that significantly impair yield - the proportion of defect-free chips. Deep neural net…
Visual Acuity Prediction on Real-Life Patient Data Using a Machine Learning Based Multistage System
Tobias Schlosser, Frederik Beuth, Trixy Meyer +5
In ophthalmology, intravitreal operative medication therapy (IVOM) is a widespread treatment for diseases related to the age-related macular degeneration (AMD), the diabetic macula…
Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning
Frederik Beuth, Tobias Schlosser, Michael Friedrich +1
It is a long-term goal to transfer biological processing principles as well as the power of human recognition into machine vision and engineering systems. One of such principles is…
Biologically Inspired Hexagonal Deep Learning for Hexagonal Image Generation
Tobias Schlosser, Frederik Beuth, Danny Kowerko
Whereas conventional state-of-the-art image processing systems of recording and output devices almost exclusively utilize square arranged methods, biological models, however, sugge…
A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks
Tobias Schlosser, Frederik Beuth, Michael Friedrich +1
Automated visual inspection in the semiconductor industry aims to detect and classify manufacturing defects utilizing modern image processing techniques. While an earliest possible…