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Frederik Beuth
Frederik Beuth
Verified email at cs.tu-chemnitz.de
Title
Cited by
Cited by
Year
Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks
T Schlosser, M Friedrich, F Beuth, D Kowerko
Journal of Intelligent Manufacturing, 1-25, 2022
492022
Split of spatial attention as predicted by a systems‐level model of visual attention
M Zirnsak, F Beuth, FH Hamker
European Journal of Neuroscience 33 (11), 2035-2045, 2011
432011
A mechanistic cortical microcircuit of attention for amplification, normalization and suppression
F Beuth, FH Hamker
Vision research 116, 241-257, 2015
412015
A hierarchical system for a distributed representation of the peripersonal space of a humanoid robot
M Antonelli, A Gibaldi, F Beuth, AJ Duran, A Canessa, M Chessa, F Solari, ...
IEEE Transactions on Autonomous Mental Development 6 (4), 259-273, 2014
382014
A novel visual fault detection and classification system for semiconductor manufacturing using stacked hybrid convolutional neural networks
T Schlosser, F Beuth, M Friedrich, D Kowerko
2019 24th IEEE International Conference on Emerging Technologies and Factory …, 2019
342019
Comparison of GPU-and CPU-implementations of mean-firing rate neural networks on parallel hardware
HÜ Dinkelbach, J Vitay, F Beuth, FH Hamker
Network: Computation in Neural Systems 23 (4), 212-236, 2012
322012
Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning
F Beuth, T Schlosser, M Friedrich, D Kowerko
IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics …, 2020
132020
Visual attention in primates and for machines-neuronal mechanisms
DIF Beuth
92019
Attentive stereoscopic object recognition
F Beuth, J Wiltschut, F Hamker
Workshop New Challenges in Neural Computation 2010, 41, 2010
92010
Biologically Inspired Hexagonal Deep Learning For Hexagonal Image Generation
T Schlosser, F Beuth, D Kowerko
2020 IEEE International Conference on Image Processing (ICIP), 848-852, 2020
82020
Biological models of reinforcement learning
J Vitay, J Fix, F Beuth, H Schroll, F Hamker
KI-Künstliche Intelligenz, 2009
82009
Visual acuity prediction on real-life patient data using a machine learning based multistage system
T Schlosser, F Beuth, T Meyer, AS Kumar, G Stolze, O Furashova, ...
Scientific Reports 14 (1), 5532, 2024
72024
A large-scale neurocomputational model of spatial cognition integrating memory with vision
M Burkhardt, J Bergelt, L Gönner, HÜ Dinkelbach, F Beuth, A Schwarz, ...
Neural Networks, 2023
52023
Attention as cognitive, holistic control of the visual system
F Beuth, FH Hamker, T Villmann, FM Schleif
Proc Workshop New Challenges in Neural Computation, 133-140, 2015
52015
The performance of a biologically plausible model of visual attention to localize objects in a virtual reality
A Jamalian, F Beuth, FH Hamker
International Conference on Artificial Neural Networks, 447-454, 2016
42016
How Visual Attention and Suppression Facilitate Object Recognition?
F Beuth, A Jamalian, FH Hamker
International Conference on Artificial Neural Networks, 459-466, 2014
22014
Utilizing Generative Adversarial Networks for Image Data Augmentation and Classification of Semiconductor Wafer Dicing Induced Defects
Z Hu, T Schlosser, M Friedrich, F Beuth, D Kowerko
arXiv preprint arXiv:2407.20268, 2024
12024
Contrasting attentional processing in visual search, object recognition, and complex tasks
F Beuth, D Kowerko, FH Hamker
Journal of Vision 21 (9), 2753-2753, 2021
12021
Concept Detection in Medical Images using Xception Models-TUCMC at ImageCLEFmed 2020.
N Udas, F Beuth, D Kowerko
CLEF (Working Notes), 2020
12020
The guidance of vision while learning categories
F Beuth, FH Hamker
Poster on the Bernstein Conference on Computational Neuroscience (BCCN), 2008
12008
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