Vincent Christlein
Dr.-Ing. Vincent Christlein
http://orcid.org/0000-0003-0455-3799
Our handwriting imitation works
- SmartPatch: Improving Handwritten Word Imitation with Patch Discriminators https://lme.tf.fau.de/news/best-student-paper-award-icdar21
- Spatio-Temporal Handwriting Imitation https://lme.tf.fau.de/pattern-recognition-blog/spatio-temporal-handwriting-imitation/
- Beyond Human Forgeries: An Investigation into Detecting Diffusion-Generated Handwriting https://dx.doi.org/10.1007/978-3-031-41498-5_1
Academic CV
Vincent Christlein studied Computer Science, graduated in 2012 and received his PhD (Dr.-Ing.) in 2018 from the Friedrich-Alexander University of Erlangen-Nürnberg (FAU), Germany. During his studies, he worked on automatic handwriting analysis with focus on writer identification and writer retrieval. Since 2018, he has been working as a research associate at the Pattern Recognition Lab (FAU) and was promoted to Academic Councilor in 2020. He heads the Computer Vision group, which covers a wide variance of topics, e.g. environmental projects such as glacier segmentation or solar cell crack recognition, but also computational humanities topics, such as document and art analysis.
Awards
ICDAR/IAPR Young Investigator Award 2024 for outstanding contributions to handwriting recognition applied to forensics and historical documents,
18th International Conference on Document Analysis and Recognition (ICDAR), 2024
2023
Best Poster Award for the paper:
Seuret, M.; van der Loop, J.; Weichselbaumer, N.; Mayr, M.; Molnar, J.; Hass T; Christlein V.: “Combining OCR Models for Reading Early Modern Books”,
17th International Conference on Document Analysis and Recognition (ICDAR), 2023
2021
Best Student Paper Award for the paper:
Mattick, A.; Mayr, M.; Seuret, M.; Maier, A.; Christlein, V.: “SmartPatch: Improving Handwritten Word Imitation iwth Patch Discriminators”,
16th International Conference on Document Analysis and Recognition (ICDAR), 2021
2020
Best Student Paper Award (Honorable Mention) for the paper:
Leipert, M.; Vogeler, G.; Seuret M.; Maier A.; Christlein, V.: “The Notary in the Haystack – Countering Class Imbalance in Document Processing with CNNs”,
14th IAPR workshop on Document Analysis Systems (DAS), 2020.
2018
Best Student Paper Award for the paper:
Stromer D., Christlein V., Huang X., Zippert P., Helmecke E., Hausotte T., Maier A.:
“Non-Destructive Digitization of Soiled Historical Chinese Bamboo Scrolls”,
13th IAPR Workshop on Document Analysis Systems (DAS), 2018
2017
IEEE SPS Award: on behalf of IEEE Signal Processing Society (SPS) for the paper:
Christlein, Vincent; Riess, Christian; Jordan, Johannes; Riess, Corinna; Angelopoulou, Elli: “An Evaluation of Popular Copy-Move Forgery Detection Approaches”, IEEE Transactions on Information Forensics and Security, vol. 7, no. 6, pp. 1841-1854, 2012
The SPS Best Paper Award is regularly given to high impact journal papers in the last five years and is based on a nomination from the respective IEEE Technical Committee.
Competition Winner: ICDAR2017 Competition on the Classification of Medieval Handwritings in Latin Script: Task 2 (Style classification on heterogeneously encoded data) and Task 4 (Manuscript dating on heterogeneously encoded data)
2016
Competition Winner: ICFHR2016 Competition on Multi-Script Writer Demographics Classification Using “QUWI” Database: Task 1 (Writer Identification) and Task 3 (Handedness Classification)
Competition Winner: ICFHR2016 Competition on the Classification of Medieval Handwritings in Latin Script: Task 1 (Accuracy)
2015
Best Poster Award for a very significant contribution in the field of document analysis and recognition for the paper:
V. Christlein, D. Bernecker and E. Angelopoulou, “Writer identification using VLAD encoded contour-Zernike moments,” 2015 13th International Conference on Document Analysis and Recognition (ICDAR), 2015
Competition Winner: ICDAR 2015 Competition on Multi-Script Writer Identification and Gender Classification (Task 1 Writer identification)
2014
Competition Winner: ICFHR2014 Competition on Arabic Writer Identification Using AHTID/MW and KHATT Databases (Task 3 Writer identification using the KHATT datasbase)
Datasets
Projects
2023
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Erfassung von Vögeln und Meeressäugetieren in Luftbildsequenzen mittels Verfahren der künstlichenIntelligenz
(Third Party Funds Single)
Term: July 1, 2023 - June 30, 2026
Funding source: Bundesministerien
2022
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International Doctoral Program: Measuring and Modelling Mountain glaciers and ice caps in a Changing Climate (M³OCCA)
(Third Party Funds Single)
Term: June 1, 2022 - May 31, 2026
Funding source: Elitenetzwerk BayernMountain glaciers and ice caps outside the large ice sheets of Greenland and Antarctica contribute about 41% to the global sea level rise between 1901 to 2018 (IPCC 2021). While the Arctic ice masses are and will remain the main contributors to sea level rise, glacier ice in other mountain regions can be critical for water supply (e.g. irrigation, energy generation, drinking water, but also river transport during dry periods). Furthermore, retreating glaciers also can cause risks and hazards by floods, landslides and rock falls in recently ice-free areas. As a consequence, the Intergovernmental Panel of Climate Change (IPCC) dedicates special attention to the cryosphere (IPCC 2019; IPCC 2021). WMO and UN have defined Essential Climate Variables (ECV) for assessing the status of the cryosphere and its changes. These ECVs should be measured regularly on large scale and are essential to constrain subsequent modelling efforts and predictions.
The proposed International Doctorate Program (IDP) “Measuring and Modelling Mountain glaciers and ice caps in a Changing ClimAte (M3OCCA)” will substantially contribute to improving our observation and measurement capabilities by creating a unique inter- and transdisciplinary research platform. We will address main uncertainties of current measurements of the cryosphere by developing new instruments and future analysis techniques as well as by considerably advancing geophysical models in glaciology and natural hazard research. The IDP will have a strong component of evolving techniques in the field of deep learning and artificial intelligence (AI) as the data flow from Earth Observation (EO) into modelling increases exponentially. IDP M3OCCA will become the primary focal point for mountain glacier research in Germany and educate emerging
talents with an interdisciplinary vision as well as excellent technical and soft skills. Within the IDP we combine cutting edge technologies with climate research. We will develop future technologies and transfer knowledge from other disciplines into climate and glacier research to place Bavaria at the forefront in the field of mountain cryosphere research. IDP M3OCCA fully fits into FAU strategic goals and it will leverage on Bavaria’s existing long-term commitment via the super test site Vernagtferner in the Ötztal Alps run by Bavarian Academy of Sciences (BAdW). In addition, we cooperate with the University of Innsbruck and its long-term observatory at Hintereisferner. At those super test sites, we will perform joint measurements, equipment tests, flight campaigns and cross-disciplinary trainings and exercises for our doctoral researchers. We leverage on existing
instrumentation, measurements and time series. Each of the nine doctoral candidates will be guided by interdisciplinary, international teams comprising university professors, senior scientists and emerging talents from the participating universities and external research organisations. -
´Werck der bücher’ Transitions, experimentation, and collaboration in reprographic technologies, 1440–1470
(Third Party Funds Single)
Term: June 1, 2022 - May 31, 2025
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)
2021
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Font Group Recognition for Improved OCR
(Third Party Funds Single)
Term: August 1, 2021 - August 1, 2023
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)Although OCR-D made huge progress in the last project phase in providing OCR for early printed books, it still faces two major problems: The huge variety of the material makes it extremely challenging to use generic OCR-models. Yet, selecting specific models is not possible as the sheer amount of material prevents a fully automatic workflow. This situation is further complicated by the lack of appropriate OCR training data. Current data sets consist overwhelmingly of texts in Fraktur, especially from the 19th century. This completely neglects the large typographic variety displayed by printing in the three previous centuries. Therefore, and in response to the demand from SLUB Dresden and ULB Halle, we propose to improve the current situation significantly1) fine tuning our font group recognition system to such a degree that it can be used at character level;2) transcribing more specific OCR training data for the 16th-18th century, which includes popular fonts such as Schwabacher, other bastards and old Fraktur styles; 3) training font-specific OCR models as well as integrated models that recognise both typeface and text simultaneously. This approach has ensured in other contexts that the network performs better on both individual tasks, as we can thus reduce overfitting during training. This project will improve OCR quality significantly, especially for books in non-Fraktur fonts. It will also provide a training data set of very high quality that can be reused in long term. Finally, the project will provide a more fine-grained font recognition tool that, beyond enabling font-specific OCR, also has important applications in text attribute recognition and layout analysis.
2019
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Kommunikation und Sprache im Reich. Die Nürnberger Briefbücher im 15. Jahrhundert: Automatische Handschriftenerkennung - historische und sprachwissenschaftliche Analyse.
(Third Party Funds Single)
Term: October 1, 2019 - September 30, 2022
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)
2018
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Critical Catalogue of Luther Portraits (1519-1530)
(Third Party Funds Group – Overall project)
Term: June 1, 2018 - May 31, 2021
Funding source: andere Förderorganisation
URL: https://www.gnm.de/forschung/projekte/luther-bildnisse/Quite a number of portraits of Martin Luther - known as media star of 16th century – can be found in today’s museums and libraries. However, how many portraits indeed exist and which of those are contemporary or actually date from a later period? So far unlike his works, however, the variety of contemporary portraits (painting and print) is neither completely collected nor critically analyzed. Thus, a joint project of the FAU, the Germanisches Nationalmuseum (GNM) in Nuremberg and the Technology Arts Sciences (TH Köln) was initiated. Goal of the interdisciplinary project covering art history, art technology, reformation history and computer science is the creation of a critical catalogue of Luther portraits (1519-1530). In particular, the issues of authenticity, dating of artworks and its historical usage context as well as the potential existence of serial production processes will be investigated.
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Similarity learning for art analysis
(Third Party Funds Group – Sub project)
Overall project: Critical Catalogue of Luther Portraits (1519-1530)
Term: June 1, 2018 - February 28, 2021
Funding source: andere Förderorganisation
URL: https://www.gnm.de/forschung/forschungsprojekte/luther-bildnisse/The analysis of the similarity of portraits is an important issue for many sciences such as art history or digital humanities, as for instance it might give hints concerning serial production processes, authenticity or temporal and contextual classification of the artworks.
In the project, first algorithms will be developed for cross-genre and multi-modal registration of portraits to overlay digitized paintings and prints as well as paintings acquired with different imaging systems such as visual light photography and infrared reflectography. Then, methods will be developed to objectively analyze the portraits according to their similarity.
This project is part of a joint project of the FAU, the Germanisches Nationalmuseum (GNM) in Nuremberg and the Technology Arts Sciences (TH Köln) in Cologne. Goal of the interdisciplinary project covering art history, art technology, reformation history and computer science is the creation of a critical catalogue of Luther portraits (1519-1530).
Publications
2024
Journal Articles
The Voltage-Ear – An Anomaly in photovoltaic systems with undersized inverters
In: IEEE Photonics Journal (2024), p. 1-6
ISSN: 1943-0655
DOI: 10.1109/JPHOT.2024.3430029
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Smelly, dense, and spreaded: The Object Detection for Olfactory References (ODOR) dataset
In: Expert Systems With Applications 255, Part B (2024), Article No.: 124576
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2024.124576
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Contextual HookFormer for Glacier Calving Front Segmentation
In: IEEE Transactions on Geoscience and Remote Sensing 62 (2024), p. 1-15
ISSN: 0196-2892
DOI: 10.1109/TGRS.2024.3368215
URL: https://ieeexplore.ieee.org/document/10440599
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Evaluating learned feature aggregators for writer retrieval
In: International Journal on Document Analysis and Recognition 27 (2024), p. 265-274
ISSN: 1433-2833
DOI: 10.1007/s10032-024-00482-x
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Odeuropa und der Duft der Bilder
In: Schönere Heimat (2024), p. 225-229
ISSN: 0177-4492
URL: https://heimat-bayern-kaufladen.de/Schoenere-Heimat-2024-Heft-3/SW10437
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(Zeitungsartikel)
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Conference Contributions
Scene Classification on Fine Arts with Style Transfer
SUMAC '24: 6th workshop on the analySis, Understanding and proMotion of heritAge Contents
In: SUMAC '24: Proceedings of the 6th workshop on the analySis, Understanding and proMotion of heritAge Contents 2024
DOI: 10.1145/3689094.3689468
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Smell and Emotion: Recognising Emotions in Smell-Related Artworks
Digital Humanities Conference 2024 (Washington DC, August 6, 2024 - August 10, 2024)
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A Benchmark Dataset for Radio Echo Sounding Data
European Geosciences Union 2024 (Wien, April 14, 2024 - April 19, 2024)
DOI: 10.5194/egusphere-egu24-11310
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fang: Fast Annotation of Glyphs in Historical Printed Documents
16th IAPR International Workshop on Document Analysis Systems, DAS 2024 (Athens, August 30, 2024 - August 31, 2024)
In: Giorgos Sfikas, George Retsinas (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2024
DOI: 10.1007/978-3-031-70442-0_23
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Gesture Classification in Artworks Using Contextual Image Features
Digital Humanities Conference 2024 (The Roy Rosenzweig Center for History and New Media, Arlington, August 6, 2024 - August 9, 2024)
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Smell and emotion: Recognising emotions in smell-related artworks.
Digital Humanities Conference 2024 (Roy Rosenzweig Center for History and the New Media, Arlington, USA, August 6, 2024 - August 9, 2024)
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2023
Authored Books
Kritischer Katalog der Luther-Bildnisse (1519-1530)
Gütersloher Verlagshaus, 2023
(Quellen und Forschungen zur Reformationsgeschichte, Vol.104)
ISBN: 978-3-579-05987-7
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Image retrieval in big image data
Elsevier, 2023
ISBN: 9780128136577
DOI: 10.1016/B978-0-12-813657-7.00037-6
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Journal Articles
Out-of-the-box Calving Front Detection Method Using Deep Learning
In: Cryosphere 17 (2023), p. 4957–4977
ISSN: 1994-0416
DOI: 10.5194/tc-17-4957-2023
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Updating Siamese trackers using peculiar mixup
In: Applied Intelligence 53 (2023), p. 22531-22545
ISSN: 0924-669X
DOI: 10.1007/s10489-023-04546-z
URL: https://link.springer.com/article/10.1007/s10489-023-04546-z
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Classification of incunable glyphs and out-of-distribution detection with joint energy-based models
In: International Journal on Document Analysis and Recognition (2023)
ISSN: 1433-2833
DOI: 10.1007/s10032-023-00442-x
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More than the Name of the Rose
In: American Historical Review 128 (2023), p. 335-369
ISSN: 0002-8762
DOI: 10.1093/ahr/rhad141
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AMD-HookNet for Glacier Front Segmentation
In: IEEE Transactions on Geoscience and Remote Sensing 61 (2023), p. 1-12
ISSN: 0196-2892
DOI: 10.1109/TGRS.2023.3245419
URL: https://ieeexplore.ieee.org/document/10044700
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Author Correction: DeepNAPSI multi-reader nail psoriasis prediction using deep learning.
In: Scientific Reports 13 (2023)
ISSN: 2045-2322
DOI: 10.1038/s41598-023-37790-x
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Book Contributions
DeepNAPSI multi-reader nail psoriasis prediction using deep learning
In: Nature Scientific Reports, 2023, p. 5329
DOI: 10.1038/s41598-023-32440-8
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Conference Contributions
Ressource-Efficient Moth Detection for Pest Monitoring with YOLOv5
2023 IEEE Symposium Series on Computational Intelligence (Ciudad de Mexico, December 5, 2023 - December 8, 2023)
DOI: 10.1109/SSCI52147.2023.10372041
URL: https://ieeexplore.ieee.org/document/10372041
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SniffyArt: The Dataset of Smelling Persons
SUMAC '23: Proceedings of the 5th Workshop on analySis, Understanding and proMotion of heritAge Contents (Ottawa ON, Canada)
In: Proceedings of the 5th Workshop on AnalySis, Understanding and ProMotion of HeritAge Contents 2023
DOI: 10.1145/3607542.3617357
URL: https://arxiv.org/abs/2311.11888
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CaFFe - a Benchmark Dataset for Glacier Calving Front Extraction from Synthetic Aperture Radar Imagery
International Geoscience and Remote Sensing Symposium 2023 (Pasadena, California, July 16, 2023 - July 21, 2023)
In: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium 2023
DOI: 10.1109/IGARSS52108.2023.10283406
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Conditional Random Fields for Improving Deep Learning-based Glacier Calving Front Delineations
International Geoscience and Remote Sensing Symposium 2023 (Pasadena, California, July 16, 2023 - July 21, 2023)
In: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium 2023
DOI: 10.1109/IGARSS52108.2023.10282915
URL: https://ieeexplore.ieee.org/document/10282915
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Investigations on Self-supervised Learning for Script-, Font-type, and Location Classification on Historical Documents
7th International Workshop on Historical Document Imaging and Processing, HIP 2023, held in conjunction with ICDAR 2023 (San Jose, CA, August 25, 2023 - August 26, 2023)
In: ACM International Conference Proceeding Series 2023
DOI: 10.1145/3604951.3605519
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Combining OCR Models for Reading Early Modern Books
17th International Conference on Document Analysis and Recognition, ICDAR 2023 (San José, CA, August 21, 2023 - August 26, 2023)
In: Gernot A. Fink, Rajiv Jain, Koichi Kise, Richard Zanibbi (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Cham: 2023
DOI: 10.1007/978-3-031-41734-4_21
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ICDAR 2023 Competition on Detection and Recognition of Greek Letters on Papyri
17th International Conference on Document Analysis and Recognition - ICDAR 2023 (San José, CA, USA, August 21, 2023 - August 23, 2023)
In: Fink, G.A., Jain, R., Kise, K., Zanibbi, R. (ed.): Document Analysis and Recognition - ICDAR 2023, Cham: 2023
DOI: 10.1007/978-3-031-41679-8_29
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Multi-stage Fine-Tuning Deep Learning Models Improves Automatic Assessment of the Rey-Osterrieth Complex Figure Test
Document Analysis and Recognition - ICDAR 2023 (San José, CA)
In: Fink, G.A., Jain, R., Kise, K., Zanibbi, R. (ed.): Document Analysis and Recognition - ICDAR 2023, Cham: 2023
DOI: 10.1007/978-3-031-41676-7_1
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WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models
International Conference on Document Analysis and Recognition (San José, CA, August 21, 2023 - August 26, 2023)
In: Lecture Notes in Computer Science, Cham: 2023
DOI: 10.1007/978-3-031-41679-8_22
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Beyond Human Forgeries: An Investigation into Detecting Diffusion-Generated Handwriting
ICDAR 2023: Document Analysis and Recognition (San José, CA, August 24, 2023 - August 26, 2023)
In: Mickael Coustaty, Alicia Fornés (ed.): Document Analysis and Recognition – ICDAR 2023 Workshops, Cham: 2023
DOI: 10.1007/978-3-031-41498-5_1
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Efficient Annotation of Medieval Charters
International Conference on Document Analysis and Recognition (San José, CA, USA, August 21, 2023 - August 26, 2023)
In: Mickael Coustaty, Alicia Fornés (ed.): Document Analysis and Recognition – ICDAR 2023 Workshops. 2023
DOI: 10.1007/978-3-031-41498-5_20
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A Multi-modal Registration and Visualization Software Tool for Artworks using CraquelureNet
Pattern Recognition for Cultural Heritage (PatReCH) 2022 Workshop at the 26th International Conference on Pattern Recognition (ICPR) 2022 (Online (Montreal, QC, Canada), August 21, 2022 - August 21, 2022)
In: Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges 2023
DOI: 10.1007/978-3-031-37731-0_9
URL: https://arxiv.org/pdf/2208.08836.pdf
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A Vesselsegmentation-based CycleGAN for Unpaired Multi-modal Retinal Image Synthesis
Bildverarbeitung für die Medizin 2023 (Braunschweig, July 2, 2023 - July 4, 2023)
In: Bildverarbeitung für die Medizin 2023, Wiesbaden: 2023
DOI: 10.1007/978-3-658-41657-7_11
URL: https://arxiv.org/pdf/2306.02901.pdf
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ArtFacePoints: High-resolution Facial Landmark Detection in Paintings and Prints
Vision for Art (VISART VI) 2022 at European Conference on Computer Vision (ECCV) 2022 (Tel Aviv, October 23, 2022 - October 27, 2022)
In: Computer Vision – ECCV 2022 Workshops. ECCV 2022 2023
DOI: 10.1007/978-3-031-25056-9_20
URL: https://arxiv.org/pdf/2210.09204.pdf
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Abstract: Is Medical Chest X-ray Data Anonymous?
German Workshop on Medical Image Computing (Braunschweig, July 2, 2023 - July 4, 2023)
In: Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (ed.): Informatik aktuell 2023
DOI: 10.1007/978-3-658-41657-7_44
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Comparability of Deep Learning Techniques for Calving Front Segmentation in SAR Imagery
European Geoscience Union General Assembly 2023 (Vienna, April 23, 2023 - April 28, 2023)
DOI: 10.5194/egusphere-egu23-5069
URL: https://meetingorganizer.copernicus.org/EGU23/EGU23-5069.html
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Deepnapsi: Deep Learning for Nail Psoriasis Prediction
20th IEEE International Symposium on Biomedical Imaging, ISBI 2023 (Cartagena, April 18, 2023 - April 21, 2023)
In: Proceedings - International Symposium on Biomedical Imaging 2023
DOI: 10.1109/ISBI53787.2023.10230472
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Multimodal and Multilingual Understanding of Smells using VilBERT and mUNITER
2022 MediaEval Workshop, MediaEval 2022 (Virtual, Online, NOR, January 12, 2023 - January 13, 2023)
In: Steven Hicks, Alba Garcia Seco De Herrera, Johannes Langguth, Johannes Langguth, Andreas Lommatzsch, Stelios Andreadis, Minh-Son Dao, Pierre-Etienne Martin, Ali Hurriyetoglu, Vajira Thambawita, Tor-Arne Nordmo, Romain Vuillemot, Martha Larson (ed.): CEUR Workshop Proceedings 2023
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2022
Journal Articles
Deep learning for terahertz image denoising in nondestructive historical document analysis
In: Scientific Reports 12 (2022), p. 1-11
ISSN: 2045-2322
DOI: 10.1038/s41598-022-26957-7
URL: https://www.nature.com/articles/s41598-022-26957-7
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ICC++: Explainable Feature Learning for Art History using Image Compositions
In: Pattern Recognition (2022), p. 109153
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2022.109153
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Enhancing Human Pose Estimation in Ancient Vase Paintings via Perceptually-grounded Style Transfer Learning
In: Journal of Computing and Cultural Heritage (2022)
ISSN: 1556-4673
DOI: 10.1145/3569089
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Calving fronts and where to find them: a benchmark dataset and methodology for automatic glacier calving front extraction from synthetic aperture radar imagery
In: Earth System Science Data 14 (2022), p. 4287--4313
ISSN: 1866-3508
DOI: 10.5194/essd-14-4287-2022
URL: https://essd.copernicus.org/articles/14/4287/2022/
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Deep learning-based patient re-identification is able to exploit the biometric nature of medical chest X-ray data
In: Scientific Reports 12 (2022), Article No.: 14851
ISSN: 2045-2322
DOI: 10.1038/s41598-022-19045-3
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How to Get the Most Out of U-Net for Glacier Calving Front Segmentation
In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022)
ISSN: 1939-1404
DOI: 10.1109/JSTARS.2022.3148033
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Pixel-wise Distance Regression for Glacier Calving Front Detection and Segmentation
In: IEEE Transactions on Geoscience and Remote Sensing 60 (2022), p. 1-10
ISSN: 0196-2892
DOI: 10.1109/TGRS.2022.3158591
URL: https://arxiv.org/pdf/2103.05715
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Conference Contributions
Writer Retrieval and Writer Identification in Greek Papyri
International Graphonomics Conference (Las Palmas de Gran Canaria, June 7, 2022 - June 9, 2022)
In: Springer (ed.): Intertwining Graphonomics with Human Movements 2022
DOI: 10.1007/978-3-031-19745-1_6
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Multi-modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2022 (Singapore, September 18, 2022 - September 22, 2022)
In: Wang, L., Dou, Q., Fletcher, P.T., Speidel, S., Li, S. (ed.): Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 2022
DOI: 10.1007/978-3-031-16446-0_11
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Transfer Learning for Olfactory Object Detection
Digital Humanities 2022 (Tokyo, Japan, Online, July 25, 2022 - July 29, 2022)
In: Alliance of Digital Humanities Organizations (ed.): Digital Humanities 2022 Conference Abstracts 2022
Open Access: https://arxiv.org/abs/2301.09906
URL: https://dh2022.dhii.asia/dh2022bookofabsts.pdf
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ARIN: Adaptive Resampling and Instance Normalization for Robust Blind Inpainting of Dunhuang Cave Paintings
2022 Eleventh International Conference on Image Processing Theory, Tools and Applications (IPTA) (Salzburg, April 19, 2022 - April 22, 2022)
DOI: 10.1109/IPTA54936.2022.9784144
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One-Shot Object Detection in Heterogeneous Artwork Datasets
2022 Eleventh International Conference on Image Processing Theory, Tools and Applications (IPTA) (Salzburg, Austria, April 19, 2022 - April 22, 2022)
DOI: 10.1109/IPTA54936.2022.9784141
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A Fair Evaluation of Various Deep Learning-Based Document Image Binarization Approaches
15th IAPR International Workshop on Document Analysis Systems, DAS 2022 (La Rochelle, FRA, May 22, 2022 - May 25, 2022)
In: Seiichi Uchida, Elisa Barney, Véronique Eglin (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2022
DOI: 10.1007/978-3-031-06555-2_52
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Combining Visual and Linguistic Models for a Robust Recipient Line Recognition in Historical Documents
15th IAPR International Workshop on Document Analysis Systems, DAS 2022 (La Rochelle, FRA, May 22, 2022 - May 25, 2022)
In: Seiichi Uchida, Elisa Barney, Véronique Eglin (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2022
DOI: 10.1007/978-3-031-06555-2_40
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Is Multitask Learning Always Better?
15th IAPR International Workshop on Document Analysis Systems, DAS 2022 (La Rochelle, May 22, 2022 - May 25, 2022)
In: Seiichi Uchida, Elisa Barney, Véronique Eglin (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2022
DOI: 10.1007/978-3-031-06555-2_45
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A Keypoint Detection and Description Network Based on the Vessel Structure for Multi-modal Retinal Image Registration
Bildverarbeitung für die Medizin 2022 (Heidelberg, June 26, 2022 - June 28, 2022)
In: Maier-Hein, K., Deserno, T.M., Handels, H., Maier, A., Palm, C., Tolxdorff, T. (ed.): Bildverarbeitung für die Medizin 2022, Wiesbaden: 2022
DOI: 10.1007/978-3-658-36932-3_12
URL: https://arxiv.org/pdf/2201.02242.pdf
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First Steps on Gamification of Lung Fluid Cells Annotations in the Flower Domain
German Workshop on Medical Image Computing, 2022 (Heidelberg, DEU, June 26, 2022 - June 28, 2022)
In: Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (ed.): Informatik aktuell 2022
DOI: 10.1007/978-3-658-36932-3_48
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Dissecting Glaciers - Can an Automated Bio-Medical Image Segmentation Tool also Segment Glaciers?
EGU General Assembly 2022 (Vienna, Austria, May 23, 2022 - May 27, 2022)
DOI: 10.5194/egusphere-egu22-2726
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Exploring the Open World Using Incremental Extreme Value Machines
International Conference on Pattern Recognition (ICPR) (Montréal, August 21, 2022 - August 25, 2022)
In: 2022 26th International Conference on Pattern Recognition (ICPR) 2022
DOI: 10.1109/ICPR56361.2022.9956423
URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2022-Koch-ICPR.pdf
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ODOR: The ICPR2022 ODeuropa Challenge on Olfactory Object Recognition
26th International Conference on Pattern Recognition / 8th International Workshop on Image Mining - Theory and Applications (IMTA) (Montreal)
In: 2022 26TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), NEW YORK: 2022
DOI: 10.1109/ICPR56361.2022.9956542
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SliTraNet: Automatic Detection of Slide Transitions in Lecture Videos using Convolutional Neural Networks
OAGM Workshop 2021 (, November 24, 2021 - November 25, 2021)
In: Proceedings of the OAGM Workshop 2021. Computer Vision and Pattern Analysis Across Domains 2022
DOI: 10.3217/978-3-85125-869-1-10
URL: https://openlib.tugraz.at/download.php?id=621f329186973&location=browse
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TorMentor: Deterministic dynamic-path, data augmentations with fractals
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2022 (New Orleans, LA, June 19, 2022 - June 20, 2022)
In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops 2022
DOI: 10.1109/CVPRW56347.2022.00305
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2021
Journal Articles
Wearables-based multi-task gait and activity segmentation using recurrent neural networks
In: Neurocomputing 432 (2021), p. 250-261
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2020.08.079
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On Mathews Correlation Coefficient and Improved Distance Map Loss for Automatic Glacier Calving Front Segmentation in SAR Imagery
In: IEEE Transactions on Geoscience and Remote Sensing (2021), p. 1-12
ISSN: 0196-2892
DOI: 10.1109/TGRS.2021.3115883
URL: https://arxiv.org/abs/2102.08312
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ChainLineNet: Deep-Learning-Based Segmentation and Parameterization of Chain Lines in Historical Prints
In: Journal of Imaging 7 (2021), Article No.: 120
ISSN: 2313-433X
DOI: 10.3390/jimaging7070120
URL: https://www.mdpi.com/2313-433X/7/7/120
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Joint Super-Resolution and Rectification for Solar Cell Inspection
In: IEEE Journal of Photovoltaics 11 (2021), p. 1051-1058
ISSN: 2156-3381
DOI: 10.1109/JPHOTOV.2021.3072229
URL: https://arxiv.org/pdf/2011.05003.pdf
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Deep Learning-based Pipeline for Module Power Prediction from EL Measurements
In: Progress in Photovoltaics: Research and Applications (2021)
ISSN: 1099-159X
DOI: 10.1002/pip.3416
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HDPA: historical document processing and analysis framework
In: Evolving Systems 12 (2021), p. 177–190
ISSN: 1868-6478
DOI: 10.1007/s12530-020-09343-4
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Conference Contributions
Bayesian U-Net for Segmenting Glaciers in Sar Imagery
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (Brussels, July 11, 2021 - July 16, 2021)
DOI: 10.1109/IGARSS47720.2021.9554292
URL: https://arxiv.org/abs/2101.03249
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Glacier Calving Front Segmentation Using Attention U-Net
2021 IEEE International Symposium on Geoscience and Remote Sensing (IGARSS) (Brussels, July 11, 2021 - July 16, 2021)
DOI: 10.1109/IGARSS47720.2021.9555067
URL: https://arxiv.org/abs/2101.03247
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Synthetic Glacier SAR Image Generation from Arbitrary Masks Using Pix2Pix Algorithm
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (Brussels, July 11, 2021 - July 16, 2021)
DOI: 10.1109/IGARSS47720.2021.9553853
URL: https://arxiv.org/abs/2101.03252
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ICDAR 2021 Competition on Historical Document Classification
16th International Conference on Document Analysis and Recognition, ICDAR 2021 (Lausanne, September 5, 2021 - September 10, 2021)
In: Josep Lladós, Daniel Lopresti, Seiichi Uchida (ed.): Document Analysis and Recognition – ICDAR 2021 2021
DOI: 10.1007/978-3-030-86337-1_41
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CraquelureNet: Matching The Crack Structure In Historical Paintings For Multi-Modal Image Registration
2021 IEEE International Conference on Image Processing (ICIP) (Online ( Anchorage, AK, USA ), September 19, 2021 - September 22, 2021)
DOI: 10.1109/ICIP42928.2021.9506071
URL: https://www.researchgate.net/publication/354690882_CraquelureNet_Matching_The_Crack_Structure_In_Historical_Paintings_For_Multi-Modal_Image_Registration
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Module-Power Prediction from PL Measurements using Deep Learning
(2021)
ISSN: 0160-837
DOI: 10.1109/PVSC43889.2021.9519005
URL: https://arxiv.org/pdf/2108.13640.pdf
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Tapping the Potential of Earth Observation - Calving Front Detection in SAR Images using Deep Learning Techniques
EGU General Assembly 2021 (, April 19, 2021 - May 30, 2021)
DOI: 10.5194/egusphere-egu21-11280
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How Will Your Tweet Be Received? Predicting the Sentiment Polarity of Tweet Replies
IEEE 15th International Conference on Semantic Computing (ICSC) (Laguna Hills, CA, January 27, 2021 - January 29, 2021)
In: IEEE (ed.): 2021 IEEE 15th International Conference on Semantic Computing (ICSC) 2021
DOI: 10.1109/ICSC50631.2021.00068
URL: https://ieeexplore.ieee.org/document/9364527
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Recursive Convolutional Neural Networks for Epigenomics
25th International Conference on Pattern Recognition (ICPR) (Milan, January 10, 2021 - January 15, 2021)
DOI: 10.1109/ICPR48806.2021.9412272
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Automatic Chain Line Segmentation in Historical Prints
International Workshop on Fine Art Pattern Extraction and Recognition (FAPER) at International Conference on Pattern Recognition (ICPR) (Online (Milan, Italy), January 11, 2021 - January 11, 2021)
In: Pattern Recognition. ICPR International Workshops and Challenges 2021
DOI: 10.1007/978-3-030-68796-0_47
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Proof of Concept: Automatic Type Recognition
In: Reussner RH, Koziolek A, Heinrich R (ed.): INFORMATIK 2020 2021
DOI: 10.18420/inf2020_122
URL: https://dl.gi.de/handle/20.500.12116/34712
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SmartPatch: Improving Handwritten Word Imitation with Patch Discriminators
16th International Conference on Document Analysis and Recognition, ICDAR 2021 (Lausanne, CHE, September 5, 2021 - September 10, 2021)
In: Josep Lladós, Daniel Lopresti, Seiichi Uchida (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2021
DOI: 10.1007/978-3-030-86549-8_18
URL: https://arxiv.org/abs/2105.10528
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Towards End-to-End Deep Learning-based Writer Identification
In: Reussner RH, Koziolek A, Heinrich R (ed.): INFORMATIK 2020 2021
DOI: 10.18420/inf2020_126
URL: https://dl.gi.de/handle/20.500.12116/34716
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2020
Journal Articles
OCR-D Compact: Results and State of Research in the Funding Initiative
In: Bibliothek Forschung und Praxis 44 (2020), p. 218-230
ISSN: 1865-7648
DOI: 10.1515/bfp-2020-0024
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New Approaches to OCR for Early Printed Books
In: DigItalia 2 (2020)
ISSN: 1972-621X
DOI: 10.36181/digitalia-00015
URL: http://digitalia.sbn.it/article/view/2630
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Book Contributions
Re-Ranking for Writer Identification and Writer Retrieval
In: Document Analysis Systems, 2020, p. 572-586
ISBN: 9783030570576
DOI: 10.1007/978-3-030-57058-3_40
URL: https://arxiv.org/abs/2007.07101
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The Notary in the Haystack – Countering Class Imbalance in Document Processing with CNNs
In: Xiang Bai, Dimosthenis Karatzas, Daniel Lopresti (ed.): Document Analysis Systems, 2020, p. 246-261
ISBN: 9783030570576
DOI: 10.1007/978-3-030-57058-3_18
URL: https://arxiv.org/abs/2007.07943
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Assistive Diagnosis in Opthalmology Using Deep Learning-Based Image Retrieval
In: Thomas Tolxdorff; Thomas M. Deserno; Heinz Handels; Andreas Maier; Klaus H. Maier-Hein; Christoph Palm (ed.): Bildverarbeitung für die Medizin 2020, Wiesbaden: Springer Vieweg, 2020, p. 144-149 (Informatik aktuell)
ISBN: 9783658292669
DOI: 10.1007/978-3-658-29267-6_30
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Bildanalyse
In: Günther Görz, Ute Schmid, Tanya Braun (ed.): Handbuch der Künstichen Intelligenz, De Gruyter, 2020, p. 673--712
DOI: 10.1515/9783110659948-015
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Conference Contributions
ICFHR 2020 Competition on Image Retrieval for Historical Handwritten Fragments
17th International Conference on Frontiers in Handwriting Recognition (ICFHR) (Dortmund, September 8, 2020 - September 10, 2020)
DOI: 10.1109/ICFHR2020.2020.00048
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Art2Contour: Salient Contour Detection in Artworks Using Generative Adversarial Networks
2020 IEEE International Conference on Image Processing (ICIP 2020) (Online (Abu Dhabi, United Arab Emirates), October 25, 2020 - October 28, 2020)
DOI: 10.1109/ICIP40778.2020.9191117
URL: https://www.researchgate.net/publication/346488040_Art2Contour_Salient_Contour_Detection_in_Artworks_Using_Generative_Adversarial_Networks
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The rapid rise of Fraktur
7. Tagung des Verbands Digital Humanities im deutschsprachigen Raum (Paderborn, March 2, 2020 - March 6, 2020)
DOI: 10.5281/zenodo.3666690
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Understanding Compositional Structures in Art Historical Images Using Pose and Gaze Priors
ECCV 2020 (Glasgow, August 23, 2020 - August 28, 2020)
In: Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm (ed.): Computer Vision – ECCV 2020 Workshops. ECCV 2020, Switzerland: 2020
DOI: 10.1007/978-3-030-66096-3_9
URL: https://link.springer.com/chapter/10.1007/978-3-030-66096-3_9
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A Visualization Tool for Image Fusion of Artworks
25th International Conference on Cultural Heritage and New Technologies (Online (Vienna, Austria), November 4, 2020 - November 6, 2020)
URL: https://archiv.chnt.at/wp-content/uploads/A-Visualization-Tool-for-Image-Fusion-of-Artworks.pdf
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Deep Learning based Attribute Representation in Ancient Vase Paintings
Digital Humanities 2020 - Intersections/Carrefours (Ottawa, Canada, July 22, 2020 - July 24, 2020)
In: Digital Humanities 2020 - Intersections/Carrefours 2020
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Spatio-Temporal Handwriting Imitation
European Conference on Computer Vision (Online, August 23, 2020 - August 28, 2020)
DOI: 10.1007/978-3-030-68238-5_38
URL: https://link.springer.com/chapter/10.1007/978-3-030-68238-5_38
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Towards Image Caption Generation for Art Historical Data
URL: https://aidh.kinf.wiai.uni-bamberg.de/02_Gupta_et_al_Towards_Image_Caption_Generation_etc.pdf
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2019
Journal Articles
Bausteine auf dem Weg zu einer virtuellen Zeitmanschiene – ein Editionsprojekt über lange Dauer
In: Magazin für digitale Editionswissenschaften 5 (2019), p. 7-17
ISSN: 2364-0855
Open Access: https://www.mde.fau.de/files/2019/10/MdE_05_19_Maier_Stromer_Christlein_Bell_fertig.pdf
URL: https://www.mde.fau.de/files/2019/10/MdE_05_19_Maier_Stromer_Christlein_Bell_fertig.pdf
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, , , :
Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images
In: Solar Energy 185 (2019), p. 455-468
ISSN: 0038-092X
DOI: 10.1016/j.solener.2019.02.067
URL: https://arxiv.org/pdf/1807.02894.pdf
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(Techreport)
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Virtual cleaning and unwrapping of non-invasively digitized soiled bamboo scrolls
In: Scientific Reports 9 (2019), Article No.: 2311
ISSN: 2045-2322
DOI: 10.1038/s41598-019-39447-0
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Conference Contributions
Recognizing Characters in Art History Using Deep Learning
SUMAC 2019 - The 1st workshop on Structuring and Understanding of Multimedia heritAge Contents (Nice, October 21, 2019 - October 25, 2019)
In: Recognizing Characters in Art History Using Deep Learning 2019
DOI: 10.1145/3347317.3357242
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Dataset of pages from early printed books with multiple font groups
5th International Workshop on Historical Document Imaging and Processing, HIP 2019, held in conjunction with ICDAR 2019 (Sydney, NSW, September 20, 2019 - September 21, 2019)
In: ACM International Conference Proceeding Series 2019
DOI: 10.1145/3352631.3352640
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Weakly Supervised Segmentation of Cracks on Solar Cells using Normalized Lp Norm
2019 IEEE International Conference on Image Processing (Taipei, September 22, 2019 - September 25, 2019)
In: IEEE (ed.): 2019 IEEE International Conference on Image Processing (ICIP) 2019
DOI: 10.1109/ICIP.2019.8803116
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2019/Mayr19-WSS.pdf
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Non-deterministic Behavior of Ranking-Based Metrics When Evaluating Embeddings
2nd International Workshop on Reproducible Research in Pattern Recognition, RRPR 2018 (Beijing, August 20, 2018 - August 20, 2018)
In: Hugues Talbot, Pascal Monasse, Bertrand Kerautret, Miguel Colom, Daniel Lopresti (ed.): RRPR 2018: Reproducible Research in Pattern Recognition 2019
DOI: 10.1007/978-3-030-23987-9_5
URL: https://arxiv.org/pdf/1806.07171.pdf
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Automatic Font Group Recognition in Early Printed Books
DHd 2019 (Mainz und Frankfurt, March 25, 2019 - March 29, 2019)
In: Patrick Sahle (ed.): 6. Tagung des Verbands Digital Humanities im deutschsprachigen Raum e.V. 2019
DOI: 10.5281/zenodo.2596095
URL: https://zenodo.org/record/2596095
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Deep Generalized Max Pooling
2019 International Conference on Document Analysis and Recognition (ICDAR) (Sydney, September 20, 2019 - September 25, 2019)
In: 2019 International Conference on Document Analysis and Recognition (ICDAR) 2019
DOI: 10.1109/ICDAR.2019.00177
URL: https://arxiv.org/abs/1908.05040
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Fast and Robust Detection of Solar Modules in Electroluminescence Images
18th International Conference on Computer Analysis of Images and Patterns (Salerno, September 2, 2019 - September 6, 2019)
In: Springer, Cham (ed.): Computer Analysis of Images and Patterns 2019
DOI: 10.1007/978-3-030-29891-3
URL: https://www.researchgate.net/publication/335361806_Fast_and_Robust_Detection_of_Solar_Modules_in_Electroluminescence_Images
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Hybrid Training Data for Historical Text OCR
2019 International Conference on Document Analysis and Recognition (ICDAR) (Sydney, September 20, 2019 - September 25, 2019)
In: 2019 International Conference on Document Analysis and Recognition (ICDAR) 2019
DOI: 10.1109/ICDAR.2019.00096
URL: https://www.researchgate.net/profile/Vincent_Christlein/publication/339025333_Hybrid_Training_Data_for_Historical_Text_OCR/links/5e41bf48a6fdccd9659a17e2/Hybrid-Training-Data-for-Historical-Text-OCR.pdf
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ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents
2019 International Conference on Document Analysis and Recognition (ICDAR) (Sydney, September 20, 2019 - September 25, 2019)
In: 2019 International Conference on Document Analysis and Recognition (ICDAR) 2019
DOI: 10.1109/ICDAR.2019.00242
URL: https://arxiv.org/abs/1912.03713
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Thesis
Handwriting Analysis with Focus on Writer Identification and Writer Retrieval (Dissertation, 2019)
URL: https://open.fau.de/handle/openfau/10952
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:
2018
Journal Articles
Deep Learning Computed Tomography: Learning Projection-Domain Weights from Image Domain in Limited Angle Problems
In: IEEE Transactions on Medical Imaging 37 (2018), p. 1454-1463
ISSN: 0278-0062
DOI: 10.1109/TMI.2018.2833499
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Wurfl18-DLC.pdf
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Browsing through sealed historical manuscripts by using 3-D computed tomography with low-brilliance X-ray sources
In: Scientific Reports 8 (2018), p. 15335
ISSN: 2045-2322
DOI: 10.1038/s41598-018-33685-4
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Stromer18-BTS.pdf
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Book Contributions
Automatic Detection of Illuminated Charters
In: Gabriele Bartz, Markus Gneiß (ed.): Illuminierte Urkunden. Beiträge aus Diplomatik, Kunstgeschichte und Digital Humanities/Illuminated Charters. Essays from Diplomatic, Art History and Digital Humanities, Koeln: Boehlau Verlag GmbH & Cie, 2018, p. 45-51 (Beihefte zum Archiv für Diplomatik, Schriftgeschichte, Siegel- und Wappenkunde, Vol.16)
ISBN: 978-3-412-51108-1
DOI: 10.1515/hzhz-2019-1475
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:
Technical Tools for the Analysis of High Medieval Papal Charters
In: Papstgeschichte im Digitalen Zeitalter. Neue Zugangsweisen zu einer Kulturgeschichte Europas, Wien: Böhlau Verlag GmbH & Cie, 2018, p. 45-53
ISBN: 978-3-412-50959-0
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Edited Volumes
Medical Imaging Systems
Erlangen: 2018
(Lecture Notes in Computer Science book series (LNCS, Vol. 11111)
URL: https://link.springer.com/content/pdf/10.1007/978-3-319-96520-8_1.pdf
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, , , (ed.):
Conference Contributions
Encoding CNN Activations for Writer Recognition
13th IAPR International Workshop on Document Analysis Systems (DAS) (Vienna, Austria, April 24, 2018 - April 27, 2018)
In: IEEE (ed.): 2018 13th IAPR International Workshop on Document Analysis Systems (DAS) 2018
DOI: 10.1109/DAS.2018.9
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Christlein18-ECA.pdf
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, :
Non-Destructive Digitization of Soiled Historical Chinese Bamboo Scrolls
13th IAPR Workshop on Document Analysis Systems (DAS) (Vienna, Austria, April 24, 2018 - April 27, 2018)
In: 2018 13th IAPR Workshop on Document Analysis Systems (DAS) 2018
DOI: 10.1109/DAS.2018.37
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Stromer18-NDO.pdf
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Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction
21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) (Granada, September 16, 2018 - September 20, 2018)
In: MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2018, PT I, CHAM: 2018
DOI: 10.1007/978-3-030-00928-1_27
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Deep learning fundamentals
Workshop on Bildverarbeitung fur die Medizin, 2018 (Erlangen, March 11, 2018 - March 13, 2018)
In: Heinz Handels, Thomas Tolxdorff, Thomas M. Deserno, Klaus H. Maier-Hein, Andreas Maier, Christoph Palm (ed.): Informatik aktuell 2018
DOI: 10.1007/978-3-662-56537-7_5
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, , , :
Dose Reduction for Historical Books Digitization by 3-D X-Ray CT
8th Conference on Industrial Computed Tomography (iCT) 2018 (Wels, Austria)
In: Proceedings of 8th Conference on Industrial Computed Tomography (iCT 2018) 2018
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Handwritten Text Recognition Error Rate Reduction in Historical Documents using Naive Transcribers
DOI: 10.18420/infdh2018-13
URL: https://dl.gi.de/handle/20.500.12116/16993
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Hyper-Hue and EMAP on Hyperspectral Images for Supervised Layer Decomposition of Old Master Drawings
International Conference on Image Processing (ICIP) (Athens, Greece, October 7, 2018 - October 10, 2018)
In: International Conference on Image Processing (ICIP) 2018
DOI: 10.1109/ICIP.2018.8451768
URL: http://arxiv.org/abs/1801.09472
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(Techreport)
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Towards Arbitrary Noise Augmentation-Deep Learning for Sampling from Arbitrary Probability Distributions
1st Workshop on Machine Learning for Medical Image Reconstruction (MLMIR) held as part of the 21st Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) (Granada, September 16, 2018)
In: MACHINE LEARNING FOR MEDICAL IMAGE RECONSTRUCTION, MLMIR 2018, CHAM: 2018
DOI: 10.1007/978-3-030-00129-2_15
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Writer identification and script classification: two tasks for a common understanding of cultural heritage
OpenX for Interdisciplinary Computational Manuscript Research (Hamburg, Germany)
In: OpenX for Interdisciplinary Computational Manuscript Research 2018
Open Access: https://www.manuscript-cultures.uni-hamburg.de/cal-details/180612_OpenX_Programme.pdf
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, , :
Writer Recognition in Historical Documents
Congress Visual Heritage 2018 (City Hall of Vienna, Austria, November 12, 2018 - November 15, 2018)
In: Congress Visual Heritage 2018 | CHNT 23 2018
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2017
Journal Articles
Artificial Paleography: Computational Approaches to Identifying Script Types in Medieval Manuscripts
In: Speculum - A Journal of Medieval Studies 92 (2017), p. 86-109
ISSN: 0038-7134
DOI: 10.1086/694112
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, , :
Writer Identification Using GMM Supervectors and Exemplar-SVMs
In: Pattern Recognition 63 (2017), p. 258-267
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2016.10.005
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Christlein17-WIU.pdf
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Book Contributions
Automatic Dating of Historical Documents
In: Kodikologie und Paläographie im digitalen Zeitalter, Norderstedt: BoD, 2017, p. 151-164 (Schriften des Instituts für Dokumentologie und Editorik, Vol.11)
ISBN: 978-3-7448-3877-1
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Conference Contributions
GMM Supervectors for Limited Training Data in Hyperspectral Remote Sensing Image Classification
17th International Conference on Computer Analysis of Images and Patterns (Ystad, August 22, 2017 - August 24, 2017)
In: Proceedings of the 17th International Conference on Computer Analysis of Images and Patterns Part II 2017
DOI: 10.1007/978-3-319-64698-5_25
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, , , , :
ICDAR 2017 Competition on Historical Document Writer Identification (Historical-WI)
2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR) (Kyoto, Japan, November 13, 2017 - November 15, 2017)
In: 14th IAPR International Conference on Document Analysis and Recognition (ICDAR) 2017
DOI: 10.1109/ICDAR.2017.225
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Fiel17-I2C.pdf
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Browsing Through Closed Books: Evaluation of Pre-processing Methods for Page Extraction of a 3-D CT Book Volume
2017 2nd International Conference on Advanced Materials Research and Manufacturing Technologies (AMRMT 2017) (Phuket, Thailand)
In: Proceedings of the 2nd International Conference on Advanced Materials Research and Manufacturing Technologies 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Stromer17-BTC.pdf
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Browsing Through Closed Books: Fully Automatic Book Page Extraction from a 3-D X-ray CT Volume
2017 14th IAPR International Conference on Document Analysis and Recognition (Kyoto, Japan)
In: The 14th IAPR International Conference on Document Analysis and Recognition 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Stromer17-BTC.pdf
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Fast, Robust and Efficient Extraction of Book Pages from a 3-D X-ray CT Volume
Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Xi'an, Shaanxi, China)
In: Proceedings of the 14th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Stromer17-FRA.pdf
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Tutorial: Deep Learning - Advancing the State-of-the-Art in Medical Image Analysis
Bildverarbeitung für die Medizin 2017 (Heidelberg, March 12, 2017 - March 14, 2017)
In: Bildverarbeitung für die Medizin 2017 2017
DOI: 10.1007/978-3-662-54345-0
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/bvm17_dltut.pdf
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Unsupervised Feature Learning for Writer Identification and Writer Retrieval
14th IAPR International Conference on Document Analysis and Recognition (ICDAR) (Kyoto, Japan)
In: 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR) 2017
DOI: 10.1109/ICDAR.2017.165
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Christlein17-UFL.pdf
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Miscellaneous
Image Registration for the Alignment of Digitized Historical Documents
abs/1712.04482 (2017)
Open Access: https://arxiv.org/abs/1712.04482
URL: http://arxiv.org/abs/1712.04482
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(Techreport)
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2016
Journal Articles
Automatic Writer Identification in Historical Documents: A Case Study
In: Zeitschrift für digitale Geisteswissenschaften (2016), p. -
ISSN: 2510-1358
DOI: 10.17175/2016_002
URL: http://www.zfdg.de/2016_002
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Conference Contributions
3-D Reconstruction of Historical Documents using an X-Ray C-Arm CT System
Image and Vision Computing New Zealand 2016 (IVCNZ 2016) (Palmerston North)
In: Proceedings of the 31th conference on Image and Vision Computing New Zealand 2016 2016
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Stromer16-3RO.pdf
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Automatische Typenbestimmung in historischen Drucken
DHd 2016, Modellierung - Vernetzung - Visualisierung Die Digital Humanities als fächerübergreifendes Forschungsparadigma (Leipzig, March 7, 2016 - March 12, 2016)
In: DHd 2016, Modellierung - Vernetzung - Visualisierung Die Digital Humanities als fächerübergreifendes Forschungsparadigma 2016
Open Access: http://dhd2016.de/boa.pdf
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Deep Learning Computed Tomography
19th International Conference on Medical Image Computing & Computer-Assisted Intervention (Athen)
In: Medical Image Computing and Computer-Assisted Intervention MICCAI 2016 2016
DOI: 10.1007/978-3-319-46726-9_50
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Wurfl16-DLC.pdf
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Vesselness for Text Detection in Historical Document Images
2016 IEEE International Conference on Image Processing (ICIP) (Phoenix, USA, September 25, 2016 - September 28, 2016)
In: 2016 IEEE International Conference on Image Processing (ICIP) 2016
DOI: 10.1109/ICIP.2016.7532962
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Hofmann16-VFT.pdf
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2015
Conference Contributions
Automatic Writer Identification in Medieval Papal Charters
Research on papal documents between international networking and digitization: New approaches to the history of writing and chanceries (Erlangen)
In: Irmgard Fees, Benedikt Hotz, Benjamin Schönfeld (ed.): Papsturkunden des frühen und hohen Mittelalters, online: 2015
Open Access: https://rep.adw-goe.de/bitstream/handle/11858/00-001S-0000-0023-9A13-A/3_Christlein.pdf?sequence=67
URL: https://rep.adw-goe.de/handle/11858/00-001S-0000-0023-9A13-A
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Binarization Driven Blind Deconvolution for Document Image Restoration
37th German Conference on Pattern Recognition, GCPR 2015 (RWTH Aachen)
In: Pattern Recognition 2015
DOI: 10.1007/978-3-319-24947-6_8
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Köhler15-BDB.pdf
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Offline Writer Identification Using Convolutional Neural Network Activation Features
German Conference on Pattern Recognition (Aachen, October 7, 2015 - October 10, 2015)
In: Pattern Recognition, Berlin: 2015
DOI: 10.1007/978-3-319-24947-6_45
URL: https://www5.cs.fau.de/research/areas/computer-vision/writer-identification/offline-writer-identification-using-convolutional-neural-network-activation-features/
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Writer Identification Using VLAD Encoded Contour-Zernike Moments
13th International Conference on Document Analysis and Recognition (Nancy, France)
In: Document Analysis and Recognition (ICDAR), 2015 13th International Conference on 2015
DOI: 10.1109/ICDAR.2015.7333893
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Christlein15-WIU.pdf
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2014
Conference Contributions
Writer Identification and Verification Using GMM Supervectors
2014 IEEE Winter Conference on Applications of Computer Vision (WACV) (Steamboat Springs, CO, March 24, 2014 - March 26, 2014)
In: Proceedings of the 2014 IEEE Winter Conference on Applications of Computer Vision 2014
DOI: 10.1109/WACV.2014.6835995
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Christlein14-WIA.pdf
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2013
Conference Contributions
Representation Learning for Cloud Classification
35th German Conference on Pattern Recognition (GCPR) (Saarbrücken, September 6, 2013)
In: Weickert Joachim, Hein Matthias, Schiele Bernt (ed.): Pattern Recognition 2013
DOI: 10.1007/978-3-642-40602-7_42
URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Bernecker13-RLF.pdf
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The Impact of Specular Highlights on 3D-2D Face Recognition
Biometric and Surveillance Technology for Human and Activity Identification X (Baltimore, MD, May 2, 2013 - May 2, 2013)
In: SPIE (ed.): Biometric and Surveillance Technology for Human and Activity Identification 2013
DOI: 10.1117/12.2019014
URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Christlein13-TIO.pdf
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2012
Journal Articles
An Evaluation of Popular Copy-Move Forgery Detection Approaches
In: IEEE Transactions on Information Forensics and Security 7 (2012), p. 1841-1854
ISSN: 1556-6013
DOI: 10.1109/TIFS.2012.2218597
URL: https://www5.cs.fau.de/research/groups/computer-vision/image-forensics/evaluation-of-copy-move-forgery-detection/
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2010
Conference Contributions
On rotation invariance in copy-move forgery detection
IEEE International Workshop on Information Forensics and Security (Seattle, December 12, 2010 - December 15, 2010)
In: 2010 IEEE International Workshop on Information Forensics and Security 2010
DOI: 10.1109/WIFS.2010.5711472
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A Study on Features for the Detection of Copy-Move Forgeries
Sicherheit 2010: Sicherheit, Schutz und Zuverlä}ssigkeit (Berlin, October 5, 2010 - October 7, 2010)
In: Sicherheit 2010: Sicherheit, Schutz und Zuverlässigkeit, Beiträge der 5. Jahrestagung des Fachbereichs Sicherheit der Gesellschaft fü}r Informatik e.V. (GI) 2010
URL: http://subs.emis.de/LNI/Proceedings/Proceedings170/article5760.html
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Talks
2024
Unraveling Scribal Authorship: New Frontiers in Writer Retrieval (Keynote)
at International Conference on Document Analysis and Recognition. Greece (3.9.)
Christlein, Vincent
Künstliche Intelligenz im Fokus: Grundlagen verstehen und Perspektiven erkennen
at Jahresempfang des IHK-Gremiums Herzogenaurach, IHK Industrie- und Handelskammer Nürnberg für Mittelfranken, Höchstadt/Aisch (13.6.)
Christlein, Vincent
How to see smells in artworks?
at Pint of Science, Kilians Pub, Nuremberg (14,5.)
2023
Christlein, Vincent
Pose Estimation for Artworks Retrieval
at Fostering Collaborative Breakthroughs in Heritage Science Through Machine Learning and Data Science, SCAI, Sorbonne University, Paris (19.6.)
Christlein, Vincent
Odeuropa und der Duft der Bilder
at Wie riecht Heimat?, Bayerische Akademie der Wissenschaften, München (8.5.)
Christlein, Vincent
Neural Networks & Deep Learning
at MOCCA Seminar, Tennenlohe, Erlangen (25.2.)
2022
Christlein, Vincent
Pose Estimation for Artworks Retrieval
at Training the Archive – Konferenz zu Kunst und Algorithmen, Ludwig Forum Aachen, Aachen (18.11.)
Christlein, Vincent
Document Analysis and Handwriting Generation
at University Rostock (27.10.)
Christlein, Vincent
Maschinelles Lernen zur Analyse von historischen Dokumenten
at Post aus Nürnberg, Die Briefbücher des 15. Jahrhunderts, Interdisziplinäre Tagung, Nürnberg (08.07.)
Christlein, Vincent
Automatische (Textunabhängige) Schreiberidentifizierung
at Tagung der Gesellschaft für forensische Schriftuntersuchung, Königswinter (17.06.)
Christlein, Vincent
Maschinelles Lernen zur Analyse historischer Dokumente
at Lange Nacht der Wissenschaften, Erlangen (21.05.)
Christlein, Vincent
Machine Learning for the Analysis of Artworks and Historical Documents
at Digital Humanities and Artificial Intelligence (DHAI) Seminar (10.05.)
Christlein, Vincent; Mayr, Martin
Handwriting Generation
at Weihnachtskolloquium 2020/21, AG OCR (25.01.)
2021
Christlein, Vincent
Maschinelles Lernen zur Bilddatenanalyse von Historischen Dokumenten
at Ringvorlesung “Materialität in den Historischen Grundwissenschaften – Aktuelle Technologien, die Digital Humanities und neue Wege der Forschung”, Ludwig-Maximilians University Munich (17.11.)
Christlein, Vincent
Handwriting Analysis and Generation
at Lunchtime Lectures, University of Graz (30.06.)
Christlein, Vincent; Mayr, Martin
Handwritten Text Recognition (HTR) – Entwicklung und aktuelle Ansätze der Handschriftenerkennung
at Weihnachtskolloquium 2020/21, AG OCR (21.01.)
2020
Christlein, Vincent
Automatische Schreiberidentifizierung in historischen Dokumenten
at “Digital History”, Digitale Geschichtswissenschaften an der Humboldt-Universität zu Berlin (09.11.)
Christlein, Vincent; Stromer, Daniel
How to Read the Unreadable? Non-Invasive digitization of cultural heritage
at Dark Archives Conference 2020 (09.09.)
Christlein, Vincent; Weichselbaumer, Nikolaus
The rapid rise of Fraktur
at University of Paderborn (DHd2020) in Paderborn (05.03)
Christlein, Vincent
Writer Identification in Historical Document Images
at Universität Basel, Switzerland (Neo-Palaeography: Analysing Ancient Handwritings in the Digital Age) in Basel (21.01)
2019
Christlein, Vincent
Automatische Bilddatenanalyse von Historischen Dokumenten
at Mathematikon, University of Heidelberg (GG3D19: Graphdatenbanken, GIS und 3D-Modelle in der Bauforschung des Mittelalters) in Heidelberg (5.12.)
Christlein, Vincent
Deep Generalized Max-Pooling
at Sydney, Australia (International Conference on Document Analaysis and Recognition) in Sydney (25.09)
Christlein, Vincent
Maschinelles Lernen zur bildbasierten Dokumentenanalyse
at Digital Humanities (Digital Humanities Cologne Colloquium) in University of Cologne (09.05)
2018
Christlein, Vincent
Encoding CNN Activations for Writer Recognition
at TU Wien (13th IAPR International Workshop on Document Analysis Systems (DAS)) in Wien (24.04)
2017
Christlein, Vincent
Classification of Medieval Handwritten Script at Interdisziplinäre Zentrum Editionswissenschaften (IZED), Friedrich-Alexander-Universität Erlangen-Nürnberg (Workshop Digitale Paläographie) in Erlangen (31.01)
2016
2015
2014
2013
Christlein, Vincent
(A Letter Driven) Writer Identification in Medieval Papal Charters
at University of Leeds (International Medieval Congress 2013) in Leeds (02.07)
at King’s College London (DigiPal Symposium III) in London (16.09)
2012
Christlein, Vincent
Handschrift und EDV – Möglichkeiten der Mustererkennung für paläographische Studien
at FAU Erlangen-Nürnberg (Zugangsweisen zur päpstlichen Schriftlichkeit) in Lehrstuhl für Mittelalterliche Geschichte und Historische Hilfswissenschaften (14.07)
2010
Christlein, Vincent
A Study on Features for the Detection of Copy-Move Forgeries
at Gesellschaft für Informatik (Sicherheit 2010 – Sicherheit, Schutz und Zuverlässigkeit) in Berlin (06.10)
at IEEE (2nd IEEE Workshop on Information Forensics and Security (WIFS)) in Seattle, USA (15.12)
Lectures
Student Theses
Open
Please see https://lme.tf.fau.de/teaching/thesis/
Running
Finished
Bachelor’s Theses: 17
Master’s Theses: 42