Frederik Beuth

18 papers B 1C 4Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
On the Transfer of Collinearity to Computer Vision.
CoRR
Frederik Beuth, Danny Kowerko
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
A large-scale neurocomputational model of spatial cognition integrating memory with vision.
Neural Networks
Micha Burkhardt, Julia Bergelt, Lorenz Gönner, Helge Ülo Dinkelbach, Frederik Beuth, Alex Schwarz, Andrej Bicanski, Neil Burgess, Fred H. Hamker
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 — conf
Concept Detection in Medical Images using Xception Models - TUCMC at ImageCLEFmed 2020.
CLEF (Working Notes)
Nisnab Udas, 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
2020 — —
Visual attention in primates and for machines - neuronal mechanisms.
Frederik Beuth
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
2016 — conf
The Performance of a Biologically Plausible Model of Visual Attention to Localize Objects in a Virtual Reality.
ICANN (2)
Amirhossein Jamalian, Frederik Beuth, Fred H. Hamker
2014 J jnl
A Hierarchical System for a Distributed Representation of the Peripersonal Space of a Humanoid Robot.
IEEE Trans. Auton. Ment. Dev.
Marco Antonelli, Agostino Gibaldi, Frederik Beuth, Angel Juan Duran, Andrea Canessa, Manuela Chessa, Fabio Solari, Angel P. del Pobil, Fred H. Hamker, Eris Chinellato, Silvio P. Sabatini
2014 C conf
How Visual Attention and Suppression Facilitate Object Recognition?
ICANN
Frederik Beuth, Amirhossein Jamalian, Fred H. Hamker
2009 J jnl
Biological Models of Reinforcement Learning.
Künstliche Intell.
Julien Vitay, Jérémy Fix, Fred H. Hamker, Henning Schroll, Frederik Beuth