564 citations · 1.1k across the 64 of their papers we have counts for
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Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images
Sergiu Deitsch, Vincent Christlein, Stephan Berger +4
Electroluminescence (EL) imaging is a useful modality for the inspection of photovoltaic (PV) modules. EL images provide high spatial resolution, which makes it possible to detect…
Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction
Maximilian Seitzer, Guang Yang, Jo Schlemper +9
Deep learning approaches have shown promising performance for compressed sensing-based Magnetic Resonance Imaging. While deep neural networks trained with mean squared error (MSE)…
Non-deterministic Behavior of Ranking-based Metrics when Evaluating Embeddings
Anguelos Nicolaou, Sounak Dey, Vincent Christlein +2
Embedding data into vector spaces is a very popular strategy of pattern recognition methods. When distances between embeddings are quantized, performance metrics become ambiguous.…
Encoding CNN Activations for Writer Recognition
Vincent Christlein, Andreas Maier
The encoding of local features is an essential part for writer identification and writer retrieval. While CNN activations have already been used as local features in related works,…
Hyper-Hue and EMAP on Hyperspectral Images for Supervised Layer Decomposition of Old Master Drawings
AmirAbbas Davari, Nikolaos Sakaltras, Armin Haeberle +4
Old master drawings were mostly created step by step in several layers using different materials. To art historians and restorers, examination of these layers brings various insigh…
Towards Arbitrary Noise Augmentation - Deep Learning for Sampling from Arbitrary Probability Distributions
Felix Horger, Tobias Würfl, Vincent Christlein +1
Accurate noise modelling is important for training of deep learning reconstruction algorithms. While noise models are well known for traditional imaging techniques, the noise distr…