Frederik Beuth

Orcid: 0000-0001-5482-9787

Affiliations:
  • Chemnitz University of Technology, Department of Computer Science, Germany


According to our database1, Frederik Beuth authored at least 12 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
A large-scale neurocomputational model of spatial cognition integrating memory with vision.
Neural Networks, October, 2023

2022
Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks.
J. Intell. Manuf., 2022

Visual Acuity Prediction on Real-Life Patient Data Using a Machine Learning Based Multistage System.
CoRR, 2022

2020
Visual attention in primates and for machines - neuronal mechanisms.
PhD thesis, 2020

Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

Biologically Inspired Hexagonal Deep Learning For Hexagonal Image Generation.
Proceedings of the IEEE International Conference on Image Processing, 2020

Concept Detection in Medical Images using Xception Models - TUCMC at ImageCLEFmed 2020.
Proceedings of the Working Notes of CLEF 2020, 2020

2019
A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks.
Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019

2016
The Performance of a Biologically Plausible Model of Visual Attention to Localize Objects in a Virtual Reality.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2014
A Hierarchical System for a Distributed Representation of the Peripersonal Space of a Humanoid Robot.
IEEE Trans. Auton. Ment. Dev., 2014

How Visual Attention and Suppression Facilitate Object Recognition?
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2009
Biological Models of Reinforcement Learning.
Künstliche Intell., 2009


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