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2020 – today
- 2025
[j4]Paul Josef Krassnig
, Matthias Haselmann, Michael Kremnitzer, Dieter Paul Gruber:
Efficient surface defect detection in industrial screen printing with minimized labeling effort. Integr. Comput. Aided Eng. 32(1): 1-21 (2025)- [i2]Paul Josef Krassnig, Dieter Paul Gruber:
ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects. CoRR abs/2503.04997 (2025) - 2022
- [j3]Thomas Ules, Matthias Haselmann, Michael Grießer, Dieter Paul Gruber:
Finger Contact Area Analysis with Convolutional Neural Networks. Appl. Artif. Intell. 36(1) (2022) - 2021
- [j2]Dieter Paul Gruber, Matthias Haselmann:
Inspection of Transparent Objects with Varying Light Scattering Using a Frangi Filter. J. Imaging 7(2): 27 (2021) - [c8]Atae Jafari-Tabrizi, Dieter Paul Gruber:
Reinforcement-Learning-based Control of an Industrial Robotic Arm for Following a Randomly-Generated 2D-Trajectory. COINS 2021: 1-6 - [c7]Thomas Ules, M. Griesser, K. Klimke, G. Grestenberger, Dieter Paul Gruber:
Evaluation of tactile friction, vibrations and the influence of finger skin moisture on grained polypropylene plates. WHC 2021: 343 - [c6]M. Griesser, Thomas Ules, Sandra Schlögl, Dieter Paul Gruber:
Investigating the influence of surface hardness and energy on the perceived stickiness of polymer coatings. WHC 2021: 1148 - [c5]Georg Regal, Sebastian Egger-Lampl, Till Bieg, Thomas Ules, Manfred Tscheligi, Dieter Paul Gruber:
How does it feel? - Investigating Soft-Touch Surface Experience Dimensions. QoMEX 2021: 181-186
2010 – 2019
- 2019
- [j1]Matthias Haselmann, Dieter Paul Gruber:
Pixel-Wise Defect Detection by CNNs without Manually Labeled Training Data. Appl. Artif. Intell. 33(6): 548-566 (2019) - [c4]Atae Jafari-Tabrizi, Hannah Luise Lichtenegger, Dieter Paul Gruber:
A Method for the Evaluation and Classification of the Orange Peel Effect on Painted Injection Moulded Part Surfaces. IbPRIA (2) 2019: 453-464 - 2018
- [c3]Matthias Haselmann, Dieter Paul Gruber, Paul Tabatabai:
Anomaly Detection Using Deep Learning Based Image Completion. ICMLA 2018: 1237-1242 - [i1]Matthias Haselmann, Dieter Paul Gruber, Paul Tabatabai:
Anomaly Detection using Deep Learning based Image Completion. CoRR abs/1811.06861 (2018) - 2017
- [c2]Matthias Haselmann, Dieter Gruber:
Supervised Machine Learning Based Surface Inspection by Synthetizing Artificial Defects. ICMLA 2017: 390-395 - 2016
- [c1]Matthias Haselmann, Dieter Paul Gruber:
Anomaly detection on arbitrarily distorted 2D patterns by computation of a virtual golden sample. ICIP 2016: 4398-4402
Coauthor Index
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