Mathis Hoffmann

14 papers B 1Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DiffRenderGAN: Addressing Training Data Scarcity in Deep Segmentation Networks for Quantitative Nanomaterial Analysis through Differentiable Rendering and Generative Modelling. CoRR Dennis Possart, Leonid Mill, Florian Vollnhals, Tor Hildebrand, Peter Suter, Mathis Hoffmann, Jonas Utz, Daniel Augsburger, Mareike Thies, Mingxuan Wu, Fabian Wagner, George Sarau, Silke H. Christiansen, Katharina Breininger
2023	—	`conf`	An Industry-Specific Investigation on Artificial Intelligence Adoption: The Cases of Financial Services and Manufacturing. PACIS Mathis Hoffmann, Maren F. Mehler
2021	J	`jnl`	Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning. CoRR Lukas Bommes, Mathis Hoffmann, Claudia Buerhop-Lutz, Tobias Pickel, Jens Hauch, Christoph Brabec, Andreas K. Maier, Ian Marius Peters
2021	J	`jnl`	Module-Power Prediction from PL Measurements using Deep Learning. CoRR Mathis Hoffmann, Johannes Hepp, Bernd Doll, Claudia Buerhop-Lutz, Ian Marius Peters, Christoph Brabec, Andreas Maier, Vincent Christlein
2020	J	`jnl`	Deep Learning-based Pipeline for Module Power Prediction from EL Measurements. CoRR Mathis Hoffmann, Claudia Buerhop-Lutz, Luca Reeb, Tobias Pickel, Thilo Winkler, Bernd Doll, Tobias Würfl, Ian Marius Peters, Christoph Brabec, Andreas Maier, Vincent Christlein
2020	J	`jnl`	Joint Super-Resolution and Rectification for Solar Cell Inspection. CoRR Mathis Hoffmann, Thomas Köhler, Bernd Doll, Frank Schebesch, Florian Talkenberg, Ian Marius Peters, Christoph J. Brabec, Andreas Maier, Vincent Christlein
2020	J	`jnl`	Weakly Supervised Segmentation of Cracks on Solar Cells using Normalized Lp Norm. CoRR Martin Mayr, Mathis Hoffmann, Andreas K. Maier, Vincent Christlein
2019	—	`conf`	Fast and Robust Detection of Solar Modules in Electroluminescence Images. CAIP (2) Mathis Hoffmann, Bernd Doll, Florian Talkenberg, Christoph J. Brabec, Andreas K. Maier, Vincent Christlein
2019	J	`jnl`	Fast and robust detection of solar modules in electroluminescence images. CoRR Mathis Hoffmann, Bernd Doll, Florian Talkenberg, Christoph J. Brabec, Andreas K. Maier, Vincent Christlein
2019	J	`jnl`	Learning with Known Operators reduces Maximum Training Error Bounds. CoRR Andreas K. Maier, Christopher Syben, Bernhard Stimpel, Tobias Würfl, Mathis Hoffmann, Frank Schebesch, Weilin Fu, Leonid Mill, Lasse Kling, Silke H. Christiansen
2019	J	`jnl`	Learning with known operators reduces maximum error bounds. Nat. Mach. Intell. Andreas K. Maier, Christopher Syben, Bernhard Stimpel, Tobias Würfl, Mathis Hoffmann, Frank Schebesch, Weilin Fu, Leonid Mill, Lasse Kling, Silke H. Christiansen
2019	B	`conf`	Weakly Supervised Segmentation of Cracks on Solar Cells Using Normalized Lp Norm. ICIP Martin Mayr, Mathis Hoffmann, Andreas K. Maier, Vincent Christlein
2018	J	`jnl`	Deep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle Problems. IEEE Trans. Medical Imaging Tobias Würfl, Mathis Hoffmann, Vincent Christlein, Katharina Breininger, Yixing Huang, Mathias Unberath, Andreas K. Maier
2017	—	`conf`	A Robust Chessboard Detector for Geometric Camera Calibration. VISIGRAPP (4: VISAPP) Mathis Hoffmann, Andreas Ernst, Tobias Bergen, Sebastian Hettenkofer, Jens-Uwe Garbas