Frederik Beuth

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 12

Top Topics

Visual Attention

Semiconductor Manufacturing

Convolutional Neural Networks

Biologically Plausible

Top Venues

Publications

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)
Micha Burkhardt, Julia Bergelt, Lorenz Gönner, Helge Ulo Dinkelbach, Frederik Beuth, Alex Schwarz, Andrej Bicanski, Neil Burgess, Fred H. Hamker
A large-scale neurocomputational model of spatial cognition integrating memory with vision. Neural Networks 167 (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)
Nisnab Udas, Frederik Beuth, Danny Kowerko
Concept Detection in Medical Images using Xception Models - TUCMC at ImageCLEFmed 2020. CLEF (Working Notes) (2020)
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)
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)
Amirhossein Jamalian, Frederik Beuth, Fred H. Hamker
The Performance of a Biologically Plausible Model of Visual Attention to Localize Objects in a Virtual Reality. ICANN (2) (2016)
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
A Hierarchical System for a Distributed Representation of the Peripersonal Space of a Humanoid Robot. IEEE Trans. Auton. Ment. Dev. 6 (4) (2014)
Frederik Beuth, Amirhossein Jamalian, Fred H. Hamker
How Visual Attention and Suppression Facilitate Object Recognition? ICANN (2014)
Julien Vitay, Jérémy Fix, Fred H. Hamker, Henning Schroll, Frederik Beuth
Biological Models of Reinforcement Learning. Künstliche Intell. 23 (3) (2009)