An evaluation of popular copy-move forgery detection approaches V Christlein, C Riess, J Jordan, C Riess, E Angelopoulou IEEE Transactions on information forensics and security 7 (6), 1841-1854, 2012 | 975 | 2012 |
Automatic classification of defective photovoltaic module cells in electroluminescence images S Deitsch, V Christlein, S Berger, C Buerhop-Lutz, A Maier, F Gallwitz, ... Solar Energy 185, 455-468, 2019 | 406 | 2019 |
Deep learning computed tomography: Learning projection-domain weights from image domain in limited angle problems T Würfl, M Hoffmann, V Christlein, K Breininger, Y Huang, M Unberath, ... IEEE transactions on medical imaging 37 (6), 1454-1463, 2018 | 256 | 2018 |
Deep learning computed tomography T Würfl, FC Ghesu, V Christlein, A Maier International conference on medical image computing and computer-assisted …, 2016 | 209 | 2016 |
Medical imaging systems: An introductory guide A Maier, S Steidl, V Christlein, J Hornegger Springer, 2018 | 157 | 2018 |
Writer identification using GMM supervectors and exemplar-SVMs V Christlein, D Bernecker, F Hönig, A Maier, E Angelopoulou Pattern Recognition 63, 258-267, 2017 | 134 | 2017 |
Adversarial and perceptual refinement for compressed sensing MRI reconstruction M Seitzer, G Yang, J Schlemper, O Oktay, T Würfl, V Christlein, T Wong, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 131 | 2018 |
Unsupervised feature learning for writer identification and writer retrieval V Christlein, M Gropp, S Fiel, A Maier 2017 14th IAPR international conference on document analysis and recognition …, 2017 | 123 | 2017 |
On rotation invariance in copy-move forgery detection V Christlein, C Riess, E Angelopoulou 2010 IEEE international workshop on information forensics and security, 1-6, 2010 | 115 | 2010 |
Deep generalized max pooling V Christlein, L Spranger, M Seuret, A Nicolaou, P Král, A Maier 2019 International conference on document analysis and recognition (ICDAR …, 2019 | 111 | 2019 |
Offline writer identification using convolutional neural network activation features V Christlein, D Bernecker, A Maier, E Angelopoulou Pattern Recognition: 37th German Conference, GCPR 2015, Aachen, Germany …, 2015 | 99 | 2015 |
A study on features for the detection of copy-move forgeries V Christlein, C Riess, E Angelopoulou Gesellschaft für Informatik eV, 2010 | 77 | 2010 |
Weakly Supervised Segmentation of Cracks on Solar Cells Using Normalized Lp Norm M Mayr, M Hoffmann, A Maier, V Christlein 2019 IEEE International Conference on Image Processing (ICIP), 1885-1889, 2019 | 71 | 2019 |
Encoding CNN activations for writer recognition V Christlein, A Maier 2018 13th IAPR international workshop on document analysis systems (DAS …, 2018 | 69 | 2018 |
Icdar2017 competition on historical document writer identification (historical-wi) S Fiel, F Kleber, M Diem, V Christlein, G Louloudis, S Nikos, B Gatos 2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017 | 67 | 2017 |
Writer identification and verification using GMM supervectors V Christlein, D Bernecker, F Hönig, E Angelopoulou IEEE winter conference on applications of computer vision, 998-1005, 2014 | 63 | 2014 |
Writer identification using VLAD encoded contour-Zernike moments V Christlein, D Bernecker, E Angelopoulou 2015 13th International Conference on Document Analysis and Recognition …, 2015 | 55 | 2015 |
Wearables-based multi-task gait and activity segmentation using recurrent neural networks CF Martindale, V Christlein, P Klumpp, BM Eskofier Neurocomputing 432, 250-261, 2021 | 44 | 2021 |
Recognizing characters in art history using deep learning P Madhu, R Kosti, L Mührenberg, P Bell, A Maier, V Christlein Proceedings of the 1st Workshop on Structuring and Understanding of …, 2019 | 39 | 2019 |
Deep learning-based patient re-identification is able to exploit the biometric nature of medical chest X-ray data K Packhäuser, S Gündel, N Münster, C Syben, V Christlein, A Maier Scientific Reports 12 (1), 14851, 2022 | 36 | 2022 |