Supervisor: Florian Kleber Start: as soon as possible Problem Statement Document Image Analysis (DIA) deals with the analysis and recognition of document images. Tasks range from skew estimation, layout analysis to Handwritten Text Recognition (HTR). Tables in documents contain structured information which can allow a deeper insight into specific data. Table Structure Recognition (TSR) deals … Continue reading Table Structure Recognition
Supervisor: Florian Kleber Start: as soon as possible Problem Statement Document Image Analysis (DIA) deals with the analysis and recognition of document images. Tasks range from skew estimation, layout analysis to Handwritten Text Recognition (HTR). Tables in documents contain structured information which can allow a deeper insight into specific data. During layout analysis, one task … Continue reading Table Detection
Supervisor: Michael Reiter (CVL), Manfred Lehner (CCRI) Praktikum/Bachelorarbeit mit Möglichkeit zur Fortführung im Rahmen einer Diplomarbeit in Zusammenarbeit mit dem Christian Doppler Laborator für CAR-T-Zellen der nächsten Generation Dieses CD Labor an der St. Anna Kinderkrebsforschung arbeitet an molekularen Werkzeugen zur Verbesserung der sogenannten CAR-T-Zell-Therapie, einer Krebstherapie, welche auf der Verabreichung von genetisch veränderten Immunzellen beruht. … Continue reading Verbesserung der CAR-T-Zellen Therapie durch Datenanalyse
Status: available Supervisor: Manuel Keglevic Why? Law enforcement agencies possess an extensive collection of handwritten documents. This includes for example documents belonging to open cases, for example death threats, and reference samples from suspects and prisoners. Yet, these collections of documents can only be utilized to a limited extend, since for an identification of an … Continue reading Deep Learning-based Forensic Writer Retrieval/Document Segmentation
Status: available Supervisor: Daniel Helm, Martin Kampel Start: as soon as possible Problem Statement Automatic scene analysis is a crucial task for historians or film archivists in order to preserve and interpret the memories of human cultural history. Film archives include thousands of hours of digitized analog footage from the last 100 years up to … Continue reading Relation Detection: Image Similarity Measurement in Large Historical Archives
Status: available Supervisor: Daniel Helm, Martin Kampel Start: as soon as possible Problem Statement Automatic video analysis in large historical film collections is a challenging task due to different aspects. One major challenge is related to the quality of historical films, e.g. over-, underexposures and blur. Furthermore, they include scratches, cracks or press cuts and … Continue reading Historical Image Restoration: Deep learning-based versus traditional-based deformation strategies
Status: open Supervisor: Sebastian Zambanini Problem Statement Detecting and classifying objects in remote sensing images is a challenging task, since the objects’ optical signature is less discriminative due to the small resolution. Common object detection methods in this area aim to find object locations by classifying local structures, while neglecting the larger surroundings of the … Continue reading Exploiting Context in Remote Sensing Object Detection
Contact: Simon Brenner With over 3000 known examples, Etruscan mirrors form one of the largest object groups in Etruscan art. The majority are metal (mostly bronze) discs with handles whose polished obverse served as a mirror while the reverse was often embellished with engraved and/or chased figures. The old-fashioned way of documenting these objects is … Continue reading 3D Reconstruction of Ancient Bronze Mirrors
Problem statement Work place ergonomics is the key factor of a healthy work place. Paying attention to ergonomic standards cannot only prevent back pain or postural deformity, but also vision problems and tensions. The existing 3D sensor fearless detects and tracks the position of an employee during the work and offers possibilities for improving the … Continue reading Work place ergonomics: pose estimation by 3D sensing
Problem Statement & Goal We developed a prototype for recording bees when entering the bee hive. The images are used to analyse bee images in various ways: mite detection, pollen quantity estimation, bee counting, … In this practicum we want to record new bee data in bee hives from our partner in Banja Luka. The … Continue reading Bee data recording from a bee hive in Banja Luka