Past Theses

PhD Theses

  • Stephan Brehm. Image Manipulation and Image Synthesis - Applications and Use-Cases Using Deep Neural Networks. Dissertation, University of Augsburg, June 20, 2022. ( Official) [ PDF]

  • Philipp Harzig. Automatic Generation of Natural Language Descriptions of Visual Data: Describing Images and Videos Using Recurrent and Self-Attentive Models. Dissertation, University of Augsburg, March 4, 2022. ( Official) [ PDF]

  • Dan Zecha. Motion Kinematics and Dynamics Prediction Using Human Pose Estimation in Videos: Towards Automated Kinematical Profiling of Swimmers and Ski Jumpers.
    Dissertation, University of Augsburg, July 10, 2019.( Official) [ PDF]

  • Christian Eggert. Reliable Company Logo Detection with Deep Convolutional Neural Networks Addressing the Small Object Detection Problem.
    Dissertation, University of Augsburg, Feb. 8, 2019. ( Official) [ PDF ]

  • Fabian Richter. Virtual Reconstruction of Hand-Torn Documents using Discriminative Models.
    Dissertation, University of Augsburg, Nov. 16, 2015. ( Official) [ PDF ]

  • Christian Ries. Automatic Object Annotations From Weakly Labeled Images.
    Dissertation, University of Augsburg, Aug. 13, 2014. [ PDF ]

  • Stefan Romberg. Aggregating Local Features into Bundles for High-Precision Object Retrieval.
    Dissertation, University of Augsburg, Dec. 13, 2013. [ PDF ]

  • Johannes Schels. Object Class Detection Using Part-Based Models Trained From Synthetically Generated Images.
    Dissertation, University of Augsburg, Mar. 5, 2013. [ PDF ]

  • Eva Hörster. Topic Models for Image Retrieval on Large-Scale Databases.
    Dissertation, University of Augsburg, July 14, 2009. [ PDF ]

Master and Diploma Theses

  • Moritz Lachenmayer. Human Pose Estimation with Vision Transformer Backbones Operating on High Resolution Images. Jan 2024

  • Lennart Eing. Detecting Arbitrary Keypoints with VisionTransformer Backbones. Jan 2024

  • Florian Barthel. Conditional Rendering of 3D Object from 2D Images Using Deep Generative Neural Networks. March 2022

  • Henning Cui. Semi-Supervised Learning for Cross-Domain Semantic Segmentation Applications. November 2021.

  • Andre Schweiger. Visual Question Answering with Transformer Architecture. October 2021.

  • Jonas Rothe. Maschinell gelernte Unsicherheitsschätzungen für Sensordaten zur Absicherung automatisierter Fahrfunktionen. September 2021.

  • Alexander Oesterling. Textklassifizierung in Ticketsystemen: Aufbau eines neuronalen Netzwerks und Klassifikationsalgorithmus für das Open-Source-Programm OTOBO. March 2021.

  • Lena Korndörfer. Examination of Basic Models for Automated Captioning of Video Sequences. January 2021.

  • Robin Schön. Learning Semantic Segmentation from Synthetic Data using Generative Adversarial Networks. January 2021.

  • Christine Hulm. Image Captioning mit hierarchischen rekurrenten Netzen. December 2020.

  • Alessandro Russo. Analysis of Domain Adaptability for 3D Human Pose Estimation with Explicit Body Shape Models. October 2020

  • Konrad Habel. Image Captioning with Deep Neural Networks and Explicit Attention Models. March 2019
  • Simon Trieb. An Advanced View on Techniques in Visual Question Answering - Augmentation, Attention and Regularization. March 2019

  • Julian Manuel Zauner. Merkmalsbasierte Kantenerkennung in unstrukturierten Punktwolken. January 2019.

  • Roman Sraj. Gelernte Ähnlichkeit für die schnelle Rekonstruktion von zerrissenen Dokumenten. September 2018

  • Yulia Khlyaka.Image Captioning with Deep Neural Networks and Explicit Attention Models. August 2018.

  • Moritz Einfalt. An Analysis of Convolutional Pose Machines – Improvements, Extensions and Applications. June 2017. [ PDF]

  • Markus Wirth. Object Detection from Low-Resolution Feature Representations. March 2017

  • Ludwig Meyer. Erkennung korrekter Ausrichtung von Dokumentenfragmenten mittels tiefer neuronaler Netze. September 2016

  • Stephan Brehm. Deep Convolutional Neural Networks for Object Segmentation and Part Labeling. August 2016

  • Anton Winschel. Generierung von Objekthypothesen mittels tiefer Faltungsnetze. May 2016. [ PDF ]

  • Philipp Harzig. Implementation of Frequency Domain Convolution for the Caffe-Framework. February 2016. [ PDF ]

  • Roman Hehl. Visuelle Odometrie - Implementierung eines bildgestützten Verfahrens zur Berechnung der Eigenbewegung eines Einkamerasystems. May 2015.

  • Moritz Laudahn. Umsetzung ausgewählter Aspekte von Deformable Part Models auf FPGAs. July 2014. [ PDF ]

  • Quyen Hoang. Efficient Object Detection with Branch-and-Bound. June 2013.

  • Dan Zecha. An Analysis and Efficient Implementation of Felzenszwalb's Object Detection System. March 2013. [ PDF ]

  • Christian Eggert. Implementation and Evaluation of the gPb Contour Detector. August 2012. [ PDF ]

  • Christoph Lassner. An Analysis of Successful Approaches to Human Pose Estimation. May 2012. [ PDF ]

  • Georg Döhring. Estimating Planes in Images from Cellphones and noisy Sensor Data. January 2012.

  • Christian Loos. Vectorization of Pixel Art. January 2012. [ PDF ]

  • Michael Lugmair. Viewpoint Learning and Pose Estimation in Videos. June 2011.

  • Elnaz Alyari. Automatische Vordergrund/Hintergrundsegmentierung in Videos mit stark verrauschtem Hintergrund. April 2011.

  • Fabian Richter. Tag Relevance for Image Retrieval. November 2009. [ PDF ]

  • Christian Ries. Automatic Pose Initialization of Swimmers in Videos. April 2009. [ PDF ]

  • Thomas Greif. A Probabilistic Motion Model for Swimmers: A Computer Vision Approach. March 2009. [ PDF ]

  • Sebastian Adolf. Pitch Shifting and Time Warping.  December 2008.

  • Stefan Romberg. Image Retrieval on Large Community Databases. November 2008. [ PDF ]

  • Carde-Michaela Hackbarth. Untersuchung von Bildauswertungsalgorithmen zur Abstandsbestimmung mit Stereokamerasystemen. November 2008. [ PDF ]

  • Ingo Reese. Schnitterkennung für komplexe Übergänge in Videos. March 2008. [ PDF ]

  • Sandra Witt. Face Recognition using Bayesian Networks. September 2007.

  • Thomas Meidl. Audio2MIDI: A System for Converting Audio Recordings to MIDI. August 2007. [ PDF ]

  • Cristina Anton. Text Localization and Recognition with Salient Points in Images. May 2007.

  • Rui Dong. Multimedia Search Engine.  March 2007.

  • Viktor Schellenberg. Objektklassenerkennung mittels Boundary Fragment Model. March 2007.

  • Christopulu Konstadina. Automatische Klassifikation auf optischen Datenträgern. Februray 2007 (jointly with company Dr.Schwab)

  • Jochen Wenzel. Untersuchung zur bilddatenorientierten Regelung des Farbregisters in Rollendruckmaschinen. December 2006 (jointly with MAN Roland Druckmaschinen AG)

  • Jochen Lux. Learning People's Appearances from Multiple Views. September 2006. [ PDF ]

  • Eva Hörster. Calibration of Cameras and Displays in a Distributed Computing Platform. December 2004. [ PDF ]

Bachelor Theses

  • Ghazi Jallouli. Test Time Adaptation of Neural Networks with a Minimum of Additional Parameters. January 2024.

  • Ludwig Holl. Semi-supervised neural network learning for visual relationship recognition (in German). October 2023.

  • Eloy da Silva Benze. Rendering and Analyzing the Human Mesh Model. September 2023

  • Jan Claar, Measurement of Droplets in Vaporized Fluids using Machine Learning Techniques. March 2023

  • Johannes Förth. Learning Semantic Segmentation from Bounding Box Annotations. March 2023.

  • Thomas Schmitz. Generating Synthetic Human Pose Datasets with Highly Diverse Poses. February 2023.

  • Marcel Nowocyn. Generierung von synthetischen Dantensätzen mit kontrollierbaren visuellen Beziehungen. January 2023

  • Jonathan Leis. An Evaluation of Real-Time 2D-to-3D Pose Lifting Transformers. October 2022.

  • Jonas Kell. Investigation of transformer architectures for geometrical graph structures and their application to two-dimensional spin systems. October 2022.

  • Tim Lukas Dirr. Decoder Architectures for Retraining Full Resolution in Semantic Segmentation. September 2022. [ PDF ]

  • Marco Riedenauer. Integrating Keypoint Classification in Semi-Supervised Human Pose Estimation. August 2022.

  • Dominik Schwer. Semi-Supervised Learning for Unsupervised Domain Adaptation in Semantic Segmentation. June 2022.

  • Johannes Moll. Analysis of Unsupervised Representation Learning for Image Classification. May 2022.

  • Reinhard Johannes Seidl. Analyzing Different Network Target Variants for Human Pose Estimation. March 2022.

  • Dominik Witoschek. Semi-Supervised 3D Human Pose Estimation via Sequence-based Pseudo Annotations. February 2022.

  • Orelle Nguekeng Djazet. Semi-Supervised Learning for Image Classification. February 2022.

  • Simon Graeber. Generating Synthetic Bounding Box Datasets with Controllable Complexity. February 2022.

  • Thomas Schmitz. Generating Synthetic Human Pose Datasets with Highly Diverse Poses. February 2022.

  • Patrick Hopf. Temporal Dynamics in Quantum Billiards Using Neural Networks (in German). January 2022.

  • Boodo Ba Elouga Frank Pavel. Integrating Keypoint Classification in Semi-Supervised Human Pose Estimation. November 2021.

  • Michael Danzer. Self-Supervised Learning for Unsupervised Domain Adaptation in Image Classification. September 2021.

  • Boris Hristov. Unsupervided Domain Adaptation for Semantic Segmentation using Image-to-Image Translation. September 2021.

  • Stefan Jung. Maximize the Recognition Performance of HRNet-like Backbones with Low Computational Complexity (in German). September 2021.

  • Yannick Steinhage. Robust Learning from Noisy Labels with Deep Neural Networks. May 2021.

  • Lena Korndörfer. Examination of Basic Models for Automated Captioning of Video Sequences. January 2021.

  • Florian Barthel. An Extensive Study of the StyleGAN Architecture for Deep Image Synthesis. September 2020

  • Maximilian Gartner. Stragegien zur Modellierung und Extraktion meschlicher Körperpunkte in Bildern mittels tiefer Faltungsnetze. August 2020.

  • Florian Kimmel. Analyse von Wordvektoren (Word2Vec) unter Betrachtung von verschiedenen Modellen und Datensätzen. August 2020.

  • Simone Pompe. Image Expansion with Deep Generative Adversarial Networks. August 2020

  • Joachim Wichert. Integration of AMASS into 3D Human Pose Estimation with Explicit Body Shape Models. July 2020

  • Georg Staber. Können 3D-Abschätzungen von 2D-Posen durch Betrachtung von Sequenzen von 2D-Posen verbessert werden? October 2019

  • Nikolas Klug. Effects of Pose Normalization on Weakly Supervised 3D Human Pose Estimation. September 2019

  • Henning Cui. Adversarial Reprojektion Networks for 3D Human Pose Estimation. September 2019

  • Joachim Meyer. Comparison of modern GPGPU technologies for use in image processing libraries by the example of processing polarization-camera images. September 2019. 

  • Thomas Glamsch. An Appplication of Dense Pose for 3D Head Pose Estimation. May 2019.

  • Andre Michael Schweiger. Image Super-resolution using Deep Generative Adversarial Networks. May 2019.

  • Jan Hüttemann. SSD with Deep Layer Aggregation for Small Company Logo Detection. March 2019.

  • Leon Jakob Schneider. Manipulation von Objektfarben in Bildern mit Hilfe von tiefen neuronalen Netzen. Januar 2019.

  • Fabio Tempelmann. Posenerhaltende Bildausrichtung für parallele nicht-überlappende Kameraansichten. November 2018.

  • Marcel Schneider. Tiefe neuronale Faltungsnetze zur Erkennung von Lungenkrankheiten auf Thorax-Röntgenaufnahmen. August 2018.

  • Martin Lautenbacher. Visualizing the Effects of Fine-Tuning in Deep Neural Networks. March 2018.

  • Leon Wöhrl. Logoklassifikation mit tiefen neuronalen Netzen – Eine Untersuchung des Zusammenhangs zwischen Objektgröße und Wahrnehmungsbereich. October 2017.

  • Daniel Bermuth. Implementierung und Evaluation von BinaryConnect. August 2017.

  • Leonhard Melzer. Evaluating Training Set Augmentation for Logo Recognition with Deep Convolutional Neural Networks. December 2015.

  • Christian Diller. Implementation and Evaluation of Spatial Pyramid Pooling in Deep Convolutional Neural Networks. October 2015.

  • Philipp Herrle. Sovling Square Jigsaw Puzzles with Genetic Algorithm. August 2015.

  • Daniel Born. Relative Positionsschätzung anderer Flugobjekte mit Hilfe von Stereokameras an Bord eines Multicoptors. July 2015.

  • Benedikt Jenik. Logo Detection with Deep Neural Networks Using the Caffe Framework. May 2015.

  • Ingo Sewing. Training and Selecting Poselets for People Detection. January 2015.

  • Moritz Einfalt. Decision Forests for Regression. September 2014. [ PDF]

  • Martin Osiadly. Effziente Implementierung eines Wavelet-basierten Algorithmus zur Entrauschung mehrkanaliger Videodaten. September 2014.

  • Thomas Ossowski. Unüberwachte Bestimmung von Unterkategorien aus Bildern einer Objektklasse aus unterschiedlichen Blickrichtungen. December 2013.

  • Anton Winschel. Random Forests zur Schätzung menschlicher Posen. November 2013.

  • Macro Schumacher. Suche von 3D-Teilobjekten in einer 3D-Datenbank. January 2013.

  • Moritz August. Partition Min-Hash. September 2012. [ PDF ]

  • Jennifer Seitz. Partition Min-Hash in der Bildsuche. August 2012

  • Jessica Seitz. Schwache geometrische Konsistenzprüfung bei der Bildsuche. August 2012

  • Christoph Weiß. Finding Correspondences Between Local Image Features Using Graph Matching. March 2012.

  • Moritz Laudahn. Ein Modell zur automatischen Bestimmung von Gelenkmittelpunkten anhand von 3D Motion Capture-Daten. August 2011. [ PDF ]

  • Dan Zecha. Detecting Swimmers and Estimating their Pose in a Swimming Channel. June 2011. [ PDF ]

  • To Quyen Hoang. Evaluating the Robustness of Local Image Features. April. 2011. [ PDF ]

  • Markus Neubert. Sound Fontenizer: Automatic Generation of Sample Based Wabetables for Music Synthesis. June. 2009.

  • Tobias Schmidl. Live Stream Audio Analysis. March 2009.

  • Michael Lugmair. Score Following. March. 2009. [ PDF ]

  • Georg Döhring. Music Retrieval with Active Learning and Support Vector Machines. September 2008.

  • Thomas Greif. Implementierung eines formbasierten Regionenmerkmals. September 2007. [ PDF ]

  • Christian X. Ries. FliDo - Ein Werkzeug zum interaktiven Herunterladen von Bildern mit der Flickr API. June 2007. [ PDF ]

  • Lars-Christian Larsen. Entwicklung eines Frameworks für ein Audio-Indizierungs-Plugin in der Google-Desktop-Suche. February 2007. [ PDF ]

  • Florian Lingenfelser. Music Genre Classification. February 2007.

  • Annika Schulz. Implementierung eines aktiven Lernansatzes. October 2006 [ PDF ]

  • Daniel Lercher. Automatische Gesichtserkennung für Filmcharaktere. September 2006 [ PDF ]

  • Frank Jung. Objekterkennung mit SIFT-Features. September 2006 [ PDF ]

  • Sebastian Adolf. Erstellung einer optimierten JAVA-GUI zur Visualisierung und Bearbeitung von Audio. February 2006 [ PDF ]

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