Florian Kleber
Senior Scientist at Vienna University of Technology
Austria
Summary
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Rockstar🎓
Top SchoolFlorian Kleber is a Senior Scientist at the Computer Vision Lab, TU Wien, with 11+ years of experience at the intersection of document image analysis, cultural heritage preservation, and medical data analysis. He holds a Dr.techn. in Computer Science and combines rigorous academic research—publishing at ICDAR, ICFHR and DAS since 2008—with hands-on project work in multi-spectral acquisition and restoration of ancient manuscripts. At TU Wien and as a Marie Curie fellow, he has led and collaborated on competitions and projects that advanced baseline detection, writer identification, and table recognition for historical documents. Florian couples machine learning expertise with practical software development, contributing full-stack fixes and integrations to the popular nomacs image viewer (OpenCV/Qt5/CMake). He also brings teaching experience in document analysis and a knack for organizing community-facing events, evidencing both technical depth and service to the research community. His profile uniquely blends cultural heritage applications with biomedical data analysis, reflecting a versatile approach to visual computing challenges.
11 years of coding experience
Vienna University of TechnologyMaster's degree, Master's degree at Technical University Vienna
Stackoverflow
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Github Skills (8)
image-viewer10
c-language10
cprogramming-language10
qt10
png10
cmake9
opencv9
jpeg6
Programming languages (4)
Github contributions (5)
nomacs/nomacs
Jul 2014 - Sep 2019
nomacs is a free image viewer for windows, linux, and mac systems.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:23 commits, 15 pushes in 5 years 2 months
Contributions summary:Florian's contributions primarily involve modifications to the nomacs image viewer project. They made changes to both the frontend and backend aspects of the application, including fixing a compression bug when saving PNG images and modifying CMake files related to OpenCV and Qt5 integration. Furthermore, the user addressed code in UI-related files, such as DkBatch, DkNoMacs, and DkControlWidget, including modifications to profile handling. The user also contributed to general code improvements, such as fixes for closing errors.
openexrjpeg-xlimagelinux-windowswindows
flow79/ctdar_measurement_tool
Apr 2019 - May 2019
Evaluation Tool for the ICDAR 2019 Competition on Table Detection and Recognition
Contributions:4 PRs, 2 pushes in 1 month
icdarevaluationcomputer-visionrecognitiontable-detection
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