David Tschirschwitz

David Tschirschwitz is a Lecturer at Bauhaus-Universität Weimar's Faculty of Media (Department of Media Informatics) with additional affiliations at the Faculty of Civil and Environmental Engineering's Geodesy Institute. His research spans computer vision, object detection, and document analysis, with leadership in projects like VarInsightAI.

Research Focus: Specializes in human label variation, image retrieval systems, annotation noise handling, and AI evaluation methods. Key applications include construction industry datasets, historical document processing, and medical object detection.

Teaching & Advising: Regularly teaches advanced courses in computer vision and deep learning. Currently advises 4 students on topics ranging from table recognition to image registration.

Recent Publications: Published 6 peer-reviewed papers between 2022-2025, predominantly at top venues like WACV and GCPR. Work emphasizes practical datasets, annotation reliability, and evaluation frameworks for computer vision systems.