@conference {676,
	title = {Incremental one-class learning using regularized null-space training for industrial defect detection},
	booktitle = {16th International Conference on Machine Vision (ICMV)},
	year = {2023},
	month = {11/2023},
	abstract = {One-class incremental learning is a special case of class-incremental learning, where only a single novel class is incrementally added to an existing classifier instead of multiple classes.
This case is relevant in industrial defect detection scenarios, where novel defects usually appear during operation. 
Existing rolled-out classifiers must be updated incrementally in this scenario with only a few novel examples.
In addition, it is often required that the base classifier must not be altered due to approval and warranty restrictions.
While simple finetuning often gives the best performance across old and new classes, it comes with the drawback of potentially losing performance on the base classes (catastrophic forgetting).
Simple prototype approaches work without changing existing weights and perform very well when the classes are well separated but fail dramatically when not.
In theory, null-space training (NSCL) should retain the basis classifier entirely, as parameter updates are restricted to the null space of the network with respect to existing classes.
However, as we show, this technique promotes overfitting in the case of one-class incremental learning.
In our experiments, we found that unconstrained weight growth in null space is the underlying issue, leading us to propose a regularization term (R-NSCL) that penalizes the magnitude of amplification.
The regularization term is added to the standard classification loss and stabilizes null-space training in the one-class scenario by counteracting overfitting. 
We test the method{\textquoteright}s capabilities on two industrial datasets, namely AITEX and MVTec, and compare the performance to state-of-the-art algorithms for class-incremental learning.},
	author = {Matthias Hermann and Georg Umlauf and Bastian Goldl{\"u}cke and Matthias O.  Franz}
}
@conference {663,
	title = {Image novelty detection based on mean-shift and typical set size},
	booktitle = {21th International Conference on Image Analysis and Processing, ICIAP},
	year = {2022},
	author = {Matthias Hermann and Bastian Goldl{\"u}cke and Matthias O. Franz}
}
@article {623,
	title = {Integrating uncertainty in deep neural networks for MRI based stroke analysis},
	journal = {Medical Image Analysis},
	volume = {65},
	year = {2020},
	pages = {101790},
	author = {Herzog, Lisa and Murina, Elvis and D{\"u}rr, Oliver and Wegener, Susanne and Sick, Beate}
}
@conference {594,
	title = {Image Inpainting for High-Resolution Textures using CNN Texture Synthesis},
	booktitle = {Computer Graphics \& Visual Computing (CGVC)},
	year = {2018},
	publisher = {Eurographics Association},
	organization = {Eurographics Association},
	address = {Swansea UK},
	author = {Pascal Laube and Grunwald Michael and M O Franz and Georg Umlauf}
}
@conference {505,
	title = {Improving gradient-based LSTM training for offline handwriting recognition by careful selection of the optimization method},
	booktitle = {Conference: BW-CAR Symposium on Information and Communication Systems (SInCom)},
	year = {2016},
	month = {12/2016},
	author = {Martin Schall and Marc-Peter Schambach and M O Franz}
}
@conference {491,
	title = {Increasing robustness of handwriting recognition using character n-gram decoding on large lexica},
	booktitle = {12th IAPR International Workshop on Document Analysis Systems},
	year = {2016},
	publisher = {IEEE},
	organization = {IEEE},
	keywords = {connectionist temporal classification, lexicon based decoding, long-short-term-memory, n-gram index, offline handwriting recognition, recurrent neural network},
	author = {Martin Schall and Marc-Peter Schambach and M O Franz}
}
@article {franzini2014silico,
	title = {In Silico Identification of Cell-type-specific Compartmental Gene Expression Signatures with Predictive Value for Response to Erlotinib/bevacizumab Therapy in Non-small Cell Lung Cancer (nsclc)},
	journal = {Respiration},
	volume = {87},
	number = {6},
	year = {2014},
	pages = {562},
	author = {Franzini, A and D{\"u}rr, O and Baty, F and Hosang, J and Brutsche, M H}
}
@conference {Schwamberger2010,
	title = {The influence of the image basis on modeling and steganalysis performance},
	booktitle = {{Proc. 12th Intl. Conf. on Information Hiding (IH-2010)}},
	year = {2010},
	pages = {133{\textendash}144},
	publisher = {Springer},
	organization = {Springer},
	address = {Berlin},
	author = {Schwamberger, V and Le, P H D and Sch{\"o}lkopf, B and M O Franz},
	editor = {B{\"o}hme, R. and Fong, P.W.L. and Safavi-Naini, R.}
}
@article {220,
	title = {Iso-geometric analysis based on Catmull-Clark solid subdivision},
	journal = {Computer Graphics Forum},
	volume = {29},
	year = {2010},
	pages = {1575-1784},
	author = {Daniel Burkhart and Bernd Hamann and Georg Umlauf}
}
@conference {Barbero2009,
	title = {Implicit {Wiener} series analysis of epileptic seizure recordings.},
	booktitle = {{Ann. Intl. Conf. of the IEEE Engineering in Medicine and Biology Society}},
	year = {2009},
	pages = {5304{\textendash}5307},
	doi = {10.1109/IEMBS.2009.5333080},
	author = {Barbero, A and M O Franz and van Drongelen, W and Dorronsoro, J R and Sch{\"o}lkopf, B and Grosse-Wentrup, M}
}
@conference {209,
	title = {Image Compression Using Data-Dependent Triangulations},
	booktitle = {Advances in Visual Computing},
	year = {2007},
	publisher = {Springer},
	organization = {Springer},
	author = {Burkhard Lehner and Georg Umlauf and Bernd Hamann},
	editor = {George Bebis et al.}
}
@conference {Fra07c,
	title = {Implicit {Wiener} series for estimating nonlinear receptive fields},
	booktitle = {{Proc. 31st G{\"o}ttingen Neurobiolgy Conf.}},
	year = {2007},
	pages = {1199},
	publisher = {Thieme},
	organization = {Thieme},
	address = {Stuttgart},
	author = {M O Franz and J H Macke and A Saleem and S R Schultz}
}
@conference {Franz2006,
	title = {Implicit {Volterra} and {Wiener series} for higher-order image analysis},
	booktitle = {{Advances in Data Analysis 30th Ann. Conf. German Classification Society}},
	year = {2006},
	pages = {60},
	author = {M O Franz and Sch{\"o}lkopf, B}
}
@conference {208,
	title = {Issues and implementation of C^1 and C^2 natural neighbor interpolation},
	booktitle = {Advances in Visual Computing. Part II},
	year = {2006},
	author = {Tom Bobach and Martin Bertram and Georg Umlauf},
	editor = {G.~Bebis et al.}
}
@article {KimFraSch05,
	title = {Iterative kernel principal component analysis for image modeling},
	journal = {IEEE Trans. PAMI},
	volume = {27},
	number = {9},
	year = {2005},
	pages = {1351~{\textendash}~1366},
	author = {K I Kim and M O Franz and B Sch{\"o}lkopf}
}
@conference {Franz2004b,
	title = {Implicit estimation of {Wiener} series},
	booktitle = {{Machine Learning for Signal Processing XIV, Proc. 2004 IEEE Signal Processing Society Workshop}},
	year = {2004},
	pages = {735{\textendash}744},
	publisher = {IEEE},
	organization = {IEEE},
	address = {New York},
	author = {M O Franz and B Sch{\"o}lkopf},
	editor = {Barros, A and Principe, J C and Larsen, J and Adali, T and Douglas, S}
}
@conference {Fra04c,
	title = {Implicit {Wiener} series for capturing higher-order interactions in images},
	booktitle = {{Proc. Sensory Coding and the Natural Environment 2004}},
	year = {2004},
	author = {M O Franz and B Sch{\"o}lkopf},
	editor = {B A Olshausen and M Lewicki}
}
@article {Franz2004,
	title = {Insect-inspired estimation of egomotion.},
	journal = {Neural Computation},
	volume = {16},
	number = {11},
	year = {2004},
	pages = {2245{\textendash}60},
	doi = {10.1162/0899766041941899},
	author = {M O Franz and Chahl, J S and Krapp, H G}
}
@conference {FraCha02,
	title = {Insect-inspired estimation of self-motion},
	booktitle = {{Proc. 2nd Workshop on Biologically Motivated Computer Vision (BMCV 2002)}},
	series = {LNCS},
	volume = {2525},
	year = {2002},
	pages = {171-180},
	publisher = {Springer},
	organization = {Springer},
	address = {Berlin},
	author = {M O Franz and Chahl, J S},
	editor = {H.~H. B{\"u}lthoff and S.-W. Lee and T.~A. Poggio and C. Wallraven}
}
@conference {225,
	title = {Improved triangular subdivision schemes},
	booktitle = {Proceedings of the CGI {\textquoteright}98},
	year = {1999},
	author = {Hartmut Prautzsch and Georg Umlauf},
	editor = {F.-E.~Wolter and N.M.~Patrikalakis}
}
