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Robert Sablatnig

Faculty of Informatics, Institute of Visual Computing & Human Centered Technology, Computer Vision Lab · TU Wien

https://researchid.co/rsablatnig
@tuwien.ac.at
187Scopus Publications
5950Google Scholar Citations
40Google Scholar h-index
140Google Scholar i10-index

Biography

Robert Sablatnig, was born in Klagenfurt, Carinthia, Austria, in 1965. He re¬ceived his B.Sc. de¬gree in Computer Science in 1988, his M.Sc. de¬gree (Diplom Ingenieur) in Computer Science (Computer Graphics, Pat¬tern Recognition & Image Processing) in 1992, his Ph.D. degree in Com¬¬puter Science in 1997, and the “venia docendi” (habilitation) in Applied Computer Science in 2003, all from the TU Wien. From 1992 to 2003, he was an assistant professor (Univ.Ass.), and from 2003 to 2010, an associate professor (ao Univ.Prof.) of computer vision at the Pattern Recognition and Image Processing Group. From 2005 to 2017, he was the head of the Institute for Computer Aided Automation. Since 2010 he has been heading the Computer Vision Lab, part of 2018 founded Institute of Visual Computing & Human-Centered Technology, which he has been leading since 2019.

Education

1997 - 2003 TU Wien: Habilitation Thesis title: Shape-Based Machine Vision 1992 - 1997 TU Wien: Ph.D. (with honors) Thesis Title: A Highly Adaptable Concept for Visual Inspection, Advisor: Prof. Walter Kropatsch. 1988 - 1992 TU Wien: Computer Science (Pattern Recognition & Image Processing), Graduation: Diplom Ingenieur (MS- Computer Science) Thesis Title: “Das Lichtschnittverfahren, ein Verfahren zur Erfassung archäologischer Fundgegenstände” (Shape from structured light, a method for the acquisition of archaeological finds), Advisor: Prof. Axel Pinz. 1984 - 1988 TU Wien: Computer Scien...

Recent Scopus Publications

  1. Near Real Time Explainable Detection of Small Objects in Remote Sensing
    Lecture Notes in Computer Science, 2026
  2. ClapperText: A Benchmark for Text Recognition in Low-Resource Archival Documents
    Lecture Notes in Computer Science, 2026
  3. Few-Shot Segmentation of Historical Maps via Linear Probing of Vision Foundation Models
    Lecture Notes in Computer Science, 2026
  4. Few-Shot Connectivity-Aware Text Line Segmentation in Historical Documents
    Lecture Notes in Computer Science, 2026
  5. Towards the Influence of Text Quantity on Writer Retrieval
    Lecture Notes in Computer Science, 2026

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