Dr.-Ing. Vincent Christlein

Lehrstuhl für Informatik 5 (Mustererkennung)

Research associates

Address

Martensstraße 3
91058 Erlangen
09.135  09

Vincent Christlein

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.

2025

Christlein, Vincent
Der Duft der Bilder: Geruchskultur und KI im Projekt Odeuropa
at Collegium Alexandrinum, Erlangen, Germany (Dec 04)

Christlein, Vincent
Handschrift im Fokus: Erkennung, Imitation und Identifikation
at Lange Nacht der Wissenschaften (Long Night of Sciences), Erlangen, Germany (Oct 26)

Christlein, Vincent
Odeuropa: Mapping the Cultural History of Smell
at Sensory Science Lecture, Erlangen, Germany (Oct 09)

Christlein, Vincent
Writer Identification Across Scales: From Primitives to Pages (Keynote)
at 4th Workshop on Computational Document Forensics, ICDAR 2025, WUHAN China (21.9.)

Christlein, Vincent
Automatische Händescheidung im »Vergilius Turonensis«
at Stenographie und Karolingische Schriftkultur. Lorsch, Germany (12.9.)

Christlein, Vincent
Interdisciplinary Collaborations: Advancing Document Analysis Together (Keynote)
at VisionDocs: 1st Workshop on Computer Vision Systems for Document Analysis and Recognition. WACV 2025, Tucson, USA (4.3.)

Christlein, Vincent
Computer Vision Techniques for Art Analysis
at Philtag 18. Würzburg, Germany (7.2.)

2024

Christlein, Vincent
Unraveling Scribal Authorship: New Frontiers in Writer Retrieval (Keynote)
at International Conference on Document Analysis and Recognition, Greece (3.9.)

Christlein, Vincent
Document Analysis and Recognition Activities of the PRL
at OCR-AG Workshop, online (26.6.)

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)

at Faculty of English, Oxford (Dark Archives: A Conference on the Medieval Unread and Unreadable) in Oxford (11.09)

Christlein, Vincent
Maschinelles Lernen zur bildbasierten Dokumentenanalyse
at Digital Humanities (Digital Humanities Cologne Colloquium) in University of Cologne (09.05)

Tutorial: Deep Learning Fundamentals
at Institut für Medizinische Informatik, Universität zu Lübeck (Workshop Bildverarbeitung für die Medizin) in Lübeck (17.03)
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)

Deep Learning: Fundamentals
at Lehrstuhl für Mustererkennung (Bildverarbeitung für die Medizin) in Erlangen (11.03)
at Exzellenzcluster (GI-Workshop: Im Spannungsfeld zwischen Tool-Building und Forschung auf Augenhöhe – Informatik und die Digital Humanities) in Berlin (25.09)
Handwriting Analysis with Focus on Writer Recognition
at Universität Hamburg (Invited Talk) in Informatikum Stellingen, Hamburg (26.10)
at Ecole polytechnique fédérale de Lausanne (Time Machine Conference 2018) in Lausanne (30.10)
Visuelles Suchen in historischen Dokumenten - Herausforderungen und Möglichkeiten (Visual Retrieval in Historical Documents - Challenges and Possibilities)
at ZIP O.P.S. (Archivrecherchen im 21. Jahrhundert) in Stift Teplá (08.11)
Writer Recognition in Historical Documents
at Stadtarchäologie Wien (Congress Visual Heritage 2018) in Rathaus, Wien (14.11)

 

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)

Christlein, Vincent; Ghesu, Florin Cristian; Maier, Andreas; Würfl, Tobias; Isensee, Fabian; Maier-Hein, Klaus; Neher, Peter; Kohl, Simon
Deep Learning: Advancing the State-of-the-Art in Medical Image Analysis
at Deutsches Krebsforschungszentrum in der Helmholtz-Gemeinschaft (Bildverarbeitung für die Medizin 2007) in Heidelberg (12.03)
Automatic Handwriting Analysis - From Scribe to Script Type Classification
at Ecole Nationale des Chartes (Seminaire e-Philologie) in Paris (27.03)
at IAPR (14th IAPR International Conference on Document Analysis and Recognition (ICDAR)) in Kyoto, Japan (15.11)
2016

Christlein, Vincent
Writer Retrieval and its Application to Music Scores
at Bach-Archiv (DHD 2016 - Komponisten-Datenbanken/-Portale: Austauschformate und Vernetzungspotentiale (Pre-conference Workshop)) in Leipzig (08.03)

Automatic Detection of Illuminated Charters
at Uni Graz (Illuminated Charters – from the Margins of two Disciplines to the Core of Digital Humanities) in Wien (12.09)
From Script to Type Identification
at Berlin-Brandenburgische Akademie der Wissenschaften (Workshop) in Berlin (06.09)

Weichselbaumer, Nikolaus; Christlein, Vincent
Automatische Typenbestimmung in historischen Drucken
at Universität Leipzig (Digital Humanities im deutschsprachigen Raum (DHd 2016)) in Leipzig (09.03)

2015
Computergestützte Verfahren zur Analyse von hochmittelalterlichen Papsturkunden
at FAU (Papstgeschichte des hohen Mittelalters: digitale und hilfswissenschaftliche Zugangsweisen zu einer Kulturgeschichte Europas) in Erlangen (20.02)
at RWTH (German Conference on Pattern Recognition) in Aachen (08.10)
at Universität Leipzig (Doctoral Seminar) in Leipzig (05.11)
Technische Hilfsmittel zur Analyse von Papsturkunden des hohen Mittelalters
at FAU (Interdisziplinäres Zentrum für Editionswissenschaften (IZED)) in Erlangen (26.01)
(13th International Conference on Document Analysis and Recognition (ICDAR)) in Nancy, France (24.08)
2014
at Universität Trier (Tagung - Möglichkeiten der Automatischen Manuskriptanalyse) in Trier (25.02)
at IEEE (2014 IEEE Winter Conference on Applications of Computer Vision (WACV)) in Steamboat Springs, CO (26.03)

 

2013

Christlein, Vincent
(A Letter Driven) Writer Identification in Medieval Papal Charters
at University of Leeds (International Medieval Congress 2013) in Leeds (02.07)

Script and Signs. A Computer-based Analysis of High Medieval Papal Charters. A Key to Europe’s Cultural History
at FAU (Workshop on Automatic Pattern Recognition and Historical Document Analysis) in Erlangen (14.06)
Writer Identification in Medieval Papal Charters

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)

On Rotation Invariance in Copy-Move Forgery Detection

at IEEE (2nd IEEE Workshop on Information Forensics and Security (WIFS)) in Seattle, USA (15.12)

2024

  • Stenographie in historischen Dokumenten. Entwicklung eines Kurzschrifttools auf Grundlage der Dechiffrierung eines Vergilkommentars in tironischen Noten

    (Third Party Funds Single)

    Project leader:
    Term: April 1, 2024 - October 1, 2025
    Funding source: Volkswagen Stiftung

2023

  • Erfassung von Vögeln und Meeressäugetieren in Luftbildsequenzen mittels Verfahren der künstlichenIntelligenz

    (Third Party Funds Single)

    Project leader: ,
    Term: July 1, 2023 - June 30, 2026
    Acronym: EVERLASTING
    Funding source: Bundesministerien
  • Großräumige automatische Segmentierung der Kalbungsfront und Analyse der frontalen Ablation arktischer Gletscher mit Hilfe von Synthetic-Aperture-Radar-Bildsequenze

    (Third Party Funds Single)

    Project leader: ,
    Term: October 1, 2023 - September 30, 2026
    Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)

2022

  • International Doctoral Program: Measuring and Modelling Mountain glaciers and ice caps in a Changing Climate (M³OCCA)

    (Third Party Funds Single)

    Project leader:
    Term: June 1, 2022 - May 31, 2026
    Acronym: MOCCA
    Funding source: Elitenetzwerk Bayern

    Mountain 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)

    Project leader:
    Term: June 1, 2022 - May 31, 2025
    Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)

2021

  • Font Group Recognition for Improved OCR

    (Third Party Funds Single)

    Project leader:
    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

  • Kommunikation und Sprache im Reich. Die Nürnberger Briefbücher im 15. Jahrhundert: Automatische Handschriftenerkennung - historische und sprachwissenschaftliche Analyse.

    (Third Party Funds Single)

    Project leader: , ,
    Term: October 1, 2019 - September 30, 2022
    Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)

2018

  • Critical Catalogue of Luther Portraits (1519-1530)

    (Third Party Funds Group – Overall project)

    Project leader: ,
    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.

  • Similarity learning for art analysis

    (Third Party Funds Group – Sub project)

    Overall project: Critical Catalogue of Luther Portraits (1519-1530)
    Project leader:
    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).

2026

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2025

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2024

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2023

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2022

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2021

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2020

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2019

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Thesis

2018

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2017

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Miscellaneous

2016

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2015

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2014

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2013

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2012

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2010

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2025

2020

2017

  • : Competition Winner (IAPR) – 2017
  • , , , , : Best Paper Award (IEEE Signal Processing Society) – 2017

2016

2015

2014

Current Theses & Projects

Title Type Student Period Status
End-to-End Spatio-Temporal Handwriting Imitation via Unified Stroke Recovery and Modular Trajectory Generation MA thesis Sujit Debnath Apr 2026 – Oct 2026 running
SAM-based uncertainty aware pseudo-labeling in semi-supervised medical X-ray image segmentation MA thesis Nina Teresa Aicher Mar 2026 – Sep 2026 running
Writing-Style-Aware IMU-Based Handwriting Recognition MA thesis Weiwei Zhang Feb 2026 – Aug 2026 running
Alignment-Stable Attention for Writer-Independent IMU Handwriting Recognition via Hybrid CTC—AR Training, Calibrated Decoding, and Pretrained LM Decoder Adaptation MA thesis Muhammad Ajlal Feb 2026 – Aug 2026 running
Seminar Herculaneum Papyri Project Feb 2026 – May 2026 running
Topology-Aware Edge-Map Enhancement of Scanning Electron Microscope Images MA thesis Luca Klem Nov 2025 – May 2026 running
Few Shot Writer Identification and Retrieval using Handwritten Primitives BA thesis Philipp Hofmann Dec 2025 – May 2026 running
LLM-Based Similarity Search for Industrial Software Test Failures BA thesis Jonathan Schmitt Dec 2025 – Apr 2026 running
An LLM Framework for Scalable Software Trace Analysis and Summarization BA thesis Abdullah Alzein Dec 2025 – May 2026 running
Hierarchy-Aware Deep Learning for Tironian Notes Recognition MA thesis Yule Kang Nov 2025 – Apr 2026 running
Artificial Data Generation and OCR Processing for Improved Analysis of Jewish Gravestone Inscriptions MA thesis Kirti Jha Jul 2025 – Jan 2026 running
On-Device Training for Face Identification MA thesis Prachurya Nath Jul 2025 – Jan 2026 running
Evaluating Large Language Models Using Gameplay (ClemBench) MA thesis Mohammed Jawwad May 2025 – Nov 2025 running
Incremental Learning for Classifying Document Types Based on Content and/or Layout MA thesis S M Abdul Ahad Apr 2025 – Oct 2025 running
Sparse Mixture-of-Experts for Handwritten Text Recognition MA thesis Lukas Hüttner Feb 2025 – Aug 2025 running

Completed Theses & Projects

Title Type Student Period Status
Evaluating Urban Change Detection and Captioning in Remote Sensing MA thesis Sushant Shrikrishna Nemade Jul 2025 – Jan 2026 finished
Style-based Handwriting Generation with LCM Diffusion Transformer MA thesis David Bogdahn May 2025 – Nov 2025 finished
Video-based pose and distance estimation of an excavator bucket BA thesis Lucy Britting Oct 2024 – Mar 2025 finished
Diffusion-based Printer-proof Image Steganography for ID Documents MA thesis Mohammad Ashraf Atef Ahmed Sayed Mar 2025 – Sep 2025 finished
Foundation Models for Glacier Segmentation MA thesis Marziyeh Mohammadi Dec 2024 – Jun 2025 finished
Enhancing small-sized video object detection through temporal information and synthetic data MA thesis Philip Wagner Dec 2024 – Jun 2025 finished
Dynamic Cloud Classification through Neural Networks: Integrating Video Analysis and PV Monitoring Data MA thesis Vaibhav Uppal Sep 2024 – Mar 2025 finished
Ensuring Quality of Bots Powered by Generative Artificial Intelligence with Automated AI-Persona-Based Testing MA thesis Muhammad Fazeel Arif Sep 2024 – Mar 2025 finished
xLSTM-HTR-CTC Extended LSTM for Scalable and Efficient Handwritten Text Recognition with CTC MA thesis Mohamad El Hage Ali Oct 2024 – Apr 2025 finished
Predictive Modeling for Pre-Conditioning in Vehicles MA thesis Nikhil Panchal Sep 2024 – Feb 2025 finished
EcoScapes: LLM-powered advice for crafting sustainable cities BA thesis Martin Röhn Sep 2024 – Nov 2024 finished
Wearable Virtuosity: Try-On Any Outfit, Virtually MA thesis Shreyas Chakravarthy Jun 2024 – Dec 2024 finished
Oriented Bounding Box Detection of Metallic Objects in X-Ray Images Project Andreas Horlbeck Mar 2023 – Jun 2023 finished
Time Series Calving Front Snakes Project Suuraj Perpeli Jul 2024 – Mar 2025 finished
RetNetHTR : Leveraging Retentive Networks for Efficient and Accurate Handwritten Text Recognition MA thesis Changhun Kim Jun 2024 – Dec 2024 finished
Unsupervised Learning for Glacier Front Delineation MA thesis Julian Klink Jun 2024 – Dec 2024 finished
Analyzing the influence of writer-dependent features in writer identification using Convolutional Neural Networks BA thesis Luca Klem May 2024 – Oct 2024 finished
Lightweight Early Forest Fire Detection from Unmanned Aerial Vehicles based on Spatial-Temporal Correlation MA thesis Simon Grau Feb 2024 – Aug 2024 finished
Calving Fronts and How to Segment Them Using Diffusion Networks MA thesis Benedikt Mielke May 2024 – Nov 2024 finished
Classification of industrial parts using synthetic data from CAD models MA thesis Parteek Parteek Jan 2024 – Jul 2024 finished
Reinforcement learning to learn mean average precision learning MA thesis Murali Hemanna Dec 2023 – Jun 2024 finished
AI-based generation of 2D vehicle geometries through Natural Language MA thesis Naveed Unjum Oct 2023 – Apr 2024 finished
Photovoltaic Plant Inspection: Identifying Modules and their Defects in Electroluminesence Imagery MA thesis Simon Wolfrum Apr 2023 – Oct 2023 finished
Service-Oriented Preprocessing for Cost-Effective and Efficient Deep Learning Training MA thesis Jianchang Su Mar 2023 – Sep 2023 finished
Contrastive Learning for Glacier Segmentation Project Marziyeh Mohammadi Jun 2023 – Dec 2023 finished
Deep Learning-based Detection of Detector Artifacts MA thesis Vrinda Gupta Jun 2023 – Dec 2023 finished
Uncertainty Estimation for Transformer-based Glacier Segmentation Project Julian Klink Jun 2022 – Nov 2023 finished
Recognition of Optical Chemical Structures MA thesis Henrik Willer Jan 2023 – Jul 2023 finished
Diffusion Models for Generating Offline Handwritten Text Images MA thesis Marcel Dreier Feb 2023 – Aug 2023 finished
Optical Character Recognition on Technical Drawings using Deep Learning MA thesis Vamsi Krishna Annavarapu Sep 2022 – Mar 2023 finished
Offline-to-Online Handwriting Translation using Cyclic Consistency MA thesis Alma Hanif Jan 2023 – Jul 2023 finished
Emotion Recognition in Comic Scenes with Multimodal Classifiers MA thesis Mohamed Albahri Sep 2022 – Mar 2023 finished
Evaluation of a Pixel-wise Regression Model Solving a Segmentation Task and a Deep Learning Model with the Matthew’s Correlation Coefficient as an Early Stopping Criterion BA thesis Anda Dong Mar 2023 – Aug 2023 finished
Similarity Learning for Writer Identification MA thesis Volodymyr Marych Nov 2022 – May 2023 finished
Detecting and Transcribing Annotations in Printed Auction Catalogs using Combined Object Detection and Handwritten Text Recognition MA thesis Sulaiman Shamasna Dec 2022 – Jun 2023 finished
Image Segmentation and Detection of Imperfections for the Evaluation of Welding Seams using Neural Networks MA thesis Janina Krüger Oct 2022 – Apr 2023 finished
Evaluation of a Modified U-Net with Dropout and a Multi-Task Model for Glacier Calving Front Segmentation BA thesis Daniel Kraminskiy Nov 2022 – Apr 2023 finished
Automated Scoring of Rey-Osterrieth Complex Figure Test Using Deep Learning BA thesis Benjamin Schuster Aug 2022 – Jan 2023 finished
Detection and Classification of Photovoltaic Modules in Electroluminescence Videos MA thesis Simon Wolfrum Jun 2022 – Dec 2022 finished
Writer Verification/Identification using SuperPoint and SuperGlue BA thesis Alexander Klingebiel May 2022 – Oct 2022 finished
Human interpretable Writer Retrieval and Verification MA thesis Tim Raven Mar 2022 – Aug 2022 finished
PowerPoint Presentation describer. Machine learning methods to automatically generate business captions from graphics MA thesis Jovial Silatsa Tchatchum May 2022 – Nov 2022 finished
Automated detection and defect recognition of photovoltaic modules in photoluminescence videos MA thesis Susmitha Rachamreddy Mar 2022 – Oct 2022 finished
Fruit Terminator – Annotation of Lung Fluid Cells via Gamification BA thesis Marco Martin Härtl Jan 2022 – Jun 2022 finished
Letter Inpainting and Detection of Mathematical Diagrams in Multi-Lingual Manuscripts using a Deep Neural Network approach BA thesis Sebastian Baum Jan 2022 – Jun 2022 finished
Determining the Influence of Papyrus Characteristics on Fragments Retrieval with Deep Metric Learning MA thesis Timo Bohnstedt Dec 2021 – Jun 2022 finished
Multi-stage Patch based U-Net for Text Line Segmentation of Historical Documents MA thesis Shrihari Muttagi Dec 2021 – Jun 2022 finished
Deep Learning-based Bleed-through Removal in Historical Documents MA thesis Vojtech Pesek Nov 2021 – May 2022 finished
Digitization of Handwritten Rey Osterrieth Complex Figure Test Score Sheets BA thesis Quirin von Rekowski Sep 2021 – Feb 2022 finished
Writer Identification using Transformer-based Deep Neural Networks MA thesis Chen Ling Aug 2021 – Mar 2022 finished
Multi-task Learning for Molecular Odor Prediction With Multiple Datasets MA thesis Thomas Gorges Jul 2021 – Feb 2022 finished
Terahertz Image Reconstruction for Historical Document Analysis MA thesis Balaka Dutta Nov 2021 – May 2022 finished
Network Deconvolution as Sparse Representations for Medical Image Analysis BA thesis Emad Wahid Jun 2021 – Nov 2021 finished
Scene Evolution on Polarimetric Radar Data in Automated Driving Scenarios MA thesis Karim Awad Jun 2021 – Dec 2021 finished
Multi-task Learning for Historical Document Classification with Transformers BA thesis Alexander Mattick May 2021 – Oct 2021 finished
Automation of flow cytometry diagnostics workflow for leukemia diagnostics by leveraging machine learning MA thesis Abinaya Aravindan May 2021 – Nov 2021 finished
Image Segmentation via Transformers MA thesis Saahil Islam May 2021 – Nov 2021 finished
Comparison of different text attention techniques for writer identification MA thesis Wang, Qian Jan 2021 – Jul 2021 finished
Detecting Defects on Transparent Objects using Polarization Cameras BA thesis Christian Endres Nov 2020 – Apr 2021 finished
Implementation and Evaluation of Cluster-based Self-supervised Learning Methods MA thesis Lin Yuan Aug 2020 – Feb 2021 finished
Towards Efficient Incremental Extreme Value Theory Algorithms for Open World Recognition MA thesis Felix Liebezeit Sep 2020 – Mar 2021 finished
Deep Learning-based Matching of Chest X-Ray Scans BA thesis Nicolas Münster Aug 2020 – Jan 2021 finished
Start, follow, read, stop: Incorporating new steps into end-to-end full-page handwriting recognition method BA thesis Arthur Effting Jun 2020 – Nov 2020 finished
Multi-task Learning for Historical Handwritten Document Classification BA thesis Jing Ye May 2020 – Oct 2020 finished
Ranking Loss for Writer Identification on Music Scores MA thesis Lucie Meißner Dec 2019 – Jul 2020 finished
Concentrating on Text for Improved Document Analysis MA thesis Qian Wang Apr 2020 – Oct 2020 finished
End-to-end Deep Learning based Writer Identification MA thesis Zhenghua Wang Oct 2019 – May 2020 finished