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Nr. Titel Autor Jahr
1 Visual acuity prediction on real-life patient data using a machine learning based multistage system Schlosser, Tobias* et al. 2024
2 A large-scale neurocomputational model of spatial cognition integrating memory with vision Burkhardt, Micha et al. 2023
3 Visual Acuity Prediction on Real-Life Patient Data Using a Machine Learning Based Multistage System Schlosser, Tobias* et al. 2023
4 Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks Schlosser, Tobias et al. 2022
5 A neuro-computational model of visual attention with multiple attentional control sets Novin, Shabnam et al. 2021
6 Contrasting attentional processing in visual search, object recognition, and complex tasks Beuth, Frederik* et al. 2021
7 Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning Beuth, Frederik et al. 2021
8 The underlying mechanisms of processing multiple attentional control sets: a neuro-computational modeling study Novin, Shabnam et al. 2021
9 Biologically Inspired Hexagonal Deep Learning For Hexagonal Image Generation Schlosser, Tobias* et al. 2020
10 Concept Detection in Medical Images using Xception Models - TUC_MC at ImageCLEFmed 2020 Udas, Nisnab et al. 2020
11 Fehlerdetektion und -klassifikation bei Laserschneidprozessen mittels Deep Neural Networks Schlosser, Tobias et al. 2020
12 Improving Automated Visual Fault Detection by Combining a Biologically Plausible Model of Visual Attention with Deep Learning Beuth, Frederik* et al. 2020
13 Schlussbericht zum InnoProfile-Transfer Begleitprojekt localizeIT Kowerko, Danny et al. 2020
14 A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks Schlosser, Tobias et al. 2019
15 Visual attention in primates and for machines - neuronal mechanisms Beuth, Frederik 2019
16 Attentive Robot Vision Jamalian, Amirhossein et al. 2016
17 Entwicklung einer virtuellen Versuchsumgebung zur experimentellen Untersuchung von Raumorientierung und visueller Aufmerksamkeit Jüngel, Sascha et al. 2016
18 Learning Object Representations for Modeling Attention in Real World Scenes Schwarz, Alex et al. 2016
19 Learning of Spatial Invariances for Object-Ground Separation Scharz, Alex et al. 2016
20 Reinforcement Learning with Object Localization in a Virtual Environment Gussev, Joseph et al. 2016
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