Robust Object Recognition under Partial Occlusions Using NMF. - Daniel Soukup; Ivan Bajla (Comput. Intell. Neurosci., 2008)

Semi-automatic identification of print layers from a sequence of sample images: A case study from banknote print inspection. - Daniel Soukup; Ulrich Bodenhofer; Markus Mittendorfer-Holzer; Konrad Mayer (Image Vis. Comput., 2009)

Demosaicing algorithms for area- and line-scan cameras in print inspection. - Dorothea Heiss-Czedik; Reinhold Huber-Mörk; Daniel Soukup; Harald Penz; Beatriz López García (J. Vis. Commun. Image Represent., 2009)

Cross-Channel Co-occurrence Matrices for Robust Characterization of Surface Disruptions in 21/2D Rail Image Analysis. - Daniel Soukup; Reinhold Huber-Mörk (ACIVS, 2012)

Depth and all-in-focus images obtained by multi-line-scan light-field approach. - Svorad Stolc; Reinhold Huber-Mörk; Branislav Holländer; Daniel Soukup (Image Processing: Machine Vision Applications, 2014)

Shape from Refocus. - Reinhold Huber-Mörk; Svorad Stolc; Daniel Soukup; Branislav Holländer (ISVC (2), 2014)

Convolutional Neural Networks for Steel Surface Defect Detection from Photometric Stereo Images. - Daniel Soukup; Reinhold Huber-Mörk (ISVC (1), 2014)

Depth Estimation within a Multi-Line-Scan Light-Field Framework. - Daniel Soukup; Reinhold Huber-Mörk; Svorad Stolc; Branislav Holländer (ISVC (2), 2014)

Depth and all-in-focus imaging by a multi-line-scan light-field camera. - Svorad Stolc; Daniel Soukup; Branislav Holländer; Reinhold Huber-Mörk (J. Electronic Imaging, 2014)

On Optimal Illumination for DOVID Description Using Photometric Stereo. - Daniel Soukup; Svorad Stolc; Reinhold Huber-Mörk (ACIVS, 2015)

Invariant characterization of DOVID security features using a photometric descriptor. - Svorad Stolc; Daniel Soukup; Reinhold Huber-Mörk (ICIP, 2015)

Analysis of optically variable devices using a photometric light-field approach. - Daniel Soukup; Svorad Stolc; Reinhold Huber-Mörk (Media Watermarking, Security, and Forensics, 2015)

Trainable Regularization for Multi-frame Superresolution. - Teresa Klatzer; Daniel Soukup; Erich Kobler; Kerstin Hammernik; Thomas Pock (GCPR, 2017)

Mobile hologram verification with deep learning. - Daniel Soukup; Reinhold Huber-Mörk (IPSJ Trans. Comput. Vis. Appl., 2017)

Single Image Multi-Spectral Photometric Stereo Using a Split U-Shaped CNN. - Doris Antensteiner; Svorad Stolc; Daniel Soukup (CVPR Workshops, 2019)

On the Estimation of the Wasserstein Distance in Generative Models. - Thomas Pinetz; Daniel Soukup; Thomas Pock (GCPR, 2019)

Actual Impact of GAN Augmentation on CNN Classification Performance. - Thomas Pinetz; Johannes Ruisz; Daniel Soukup (ICPRAM, 2019)

The Necessity and Pitfall of Augmentation in Deep Learning: Observations During a Case Study in Triplet Learning for Coin Images. - Daniel Soukup (ICPRAM, 2020)

Autoencoders - A Comparative Analysis in the Realm of Anomaly Detection. - Sarah Schneider; Doris Antensteiner; Daniel Soukup; Matthias Scheutz (CVPR Workshops, 2022)

Analysis of the Future Potential of Autoencoders in Industrial Defect Detection. - Sarah Schneider; Doris Antensteiner; Daniel Soukup; Matthias Scheutz (VISIGRAPP (4: VISAPP), 2022)

Encoding Semantic Attributes - Towards Explainable AI in Industry. - Sarah Schneider; Doris Antensteiner; Daniel Soukup; Matthias Scheutz (PETRA, 2023)