The CVL offers bachelor/master theses or student projects in the domain of deep-learning-based document analysis for papyri. Supervisor: Marco Peer Status: taken First Picture: Vesuvius Challenge Second Picture: Peer and Sablatnig, HIP’23 Third picture modified from FAU Erlangen Motivation Greek papyri, ancient documents made from a type of paper, offer valuable insights into the past. … Continue reading Deep Learning for Papyri
Reference description Example TeX Template: Reference description Informative Abstract Example TeX Template: Informative Abstract Extended Abstract Example TeX Template: IEEE Template as zip or via Overleaf (you can login via your student mail, free pro-version provided by TU) IEEE Word Template Complete Paper Example TeX Template: IEEE Template as zip or via Overleaf (you can … Continue reading Templates for Scientific Communication and Presentation (SPCOM)
Status: taken Supervisors: Marco Peer The digitization and preservation of historical documents rely on accurate transcription of handwritten text. However, historical documents often present unique challenges due to variations in writing styles and deteriorated conditions. This thesis should explore the concepts of writer identification and writer-specific style extraction within Handwritten Text Recognition (HTR) systems, focusing … Continue reading Writer Adaption for Handwritten Text Recognition of Historical Documents
Status: taken Supervisors: Marco Peer, Florian Kleber Deep-learning-based methods for writer retrieval make use of sampling local characteristics of handwriting, for example using patches extracted at SIFT keypoint locations(see Figure 1), to learn discriminative features. To compute a global page descriptor of those local embeddings, state-of-the-art methods rely on fixed aggregation functions, e.g. sum/average pooling … Continue reading Learning Aggregation Functions for Writer Retrieval
Projektbeschreibung Das österreichische Sicherheitsförderungsprogramm KIRAS unterstützt nationale Forschungsprojekte, deren Resultate für die allgemeine Sicherheit der Gesellschaft beitragen. Derzeit sind wir Teil mehrerer Projekte, die von KIRAS gefördert werden. Der Fokus dieser Projekte ist die Entwicklung von Technologien basierend auf Machine Learning, um Strafverfolgungsbehörden zu unterstützen. Zu diesem Zweck arbeiten wir mit staatlichen Behörden zusammen, z.B. … Continue reading PhD Position/Projektassistent, Forensic Writer Identification using Machine Learning
For the completion of Seminar aus Computer Vision und Mustererkennung and Wissenschaftliches Arbeiten you are supposed to write different types of scientific resources. Enclosed you can find examples for each writing task as well as tex and Word templates. Reference description Example TeX Template: Reference description Informative Abstract Example TeX Template: Informative Abstract Extended Abstract … Continue reading Templates for SE Wissenschaftliches Arbeiten / CVPR