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 (, and from 2003 to 2010, an associate professor (ao 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. His research interests are 3D Computer Vision, including Range Finder, Stereovision, Shape from X, Registration, Calibration, Robot Vision,
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 Science, Graduation: BS
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Arts and Humanities
Interactive Object Detection for Tiny Objects in Large Remotely Sensed Images Marvin Burges, Sebastian Zambanini, Robert Sablatnig Proceedings 2025 IEEE Winter Conference on Applications of Computer Vision Wacv 2025, 2025 This paper highlights the potential of a Human-In-the-Loop (HIL) in interactive object detection methods. Although automation in computer vision is advancing rapidly, certain critical tasks, such as detecting UneXploded Ordnance (UXO), space/marine debris, or the generation of new datasets, require 100% recall and near-perfect precision. These tasks are often performed manually since automatic methods do not achieve the necessary accuracy. However, interactive object detection frameworks can potentially enhance annotation speed while maintaining the recall and accuracy of manual annotation. We propose IRTDETR, an interactive and real-time object detection method for very large imagery to address this. Using either point or bounding box annotations provided by a HIL, it globally relates the full image with the annotator inputs via a cross-attention-like mechanism, employs an attention loss to maximize the classification score based on similarity, and reuses portions of the network outputs during iterative refinements to conserve resources. We conduct experiments on five different datasets (Tiny-DOTA, CHAI, AITOD, SarDET, and COCO) to verify the efficacy of our approach. Our method surpasses existing interactive annotation approaches, achieving a higher mean Average Precision (mAP) with the same number of clicks. Additionally, we validate the annotation efficiency of our method in a user study, demonstrating it is $2.46\\times$ quicker and asks for only 72% of the task load (NASA-TLX) compared to fully manual annotation. The code is available under https://github.com/mburges-cvl/WACV_IAODF.
Advancing Handwritten Text Detection by Synthetic Text Markus Muth, Marco Peer, Florian Kleber, Robert Sablatnig Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2025
KaiRacters: Character-Level-Based Writer Retrieval for Greek Papyri Marco Peer, Robert Sablatnig, Olga Serbaeva, Isabelle Marthot-Santaniello Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2025
Maximizing Data Efficiency of HTR Models by Synthetic Text Markus Muth, Marco Peer, Florian Kleber, Robert Sablatnig Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2024
Towards Writer Retrieval for Historical Datasets Marco Peer, Florian Kleber, Robert Sablatnig Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2023
Impact of learned domain specific compression on satellite image object classification Ceur Workshop Proceedings, 2023
Acquisition evaluation on outdoor scanning for archaeological artifact digitalization Visigrapp 2020 Proceedings of the 15th International Joint Conference on Computer Vision Imaging and Computer Graphics Theory and Applications, 2020
CBAD: ICDAR2019 competition on baseline detection Markus Diem, Florian Kleber, Robert Sablatnig, Basilis Gatos Proceedings of the International Conference on Document Analysis and Recognition ICDAR, 2019
MultiSpectral image binarization using GMMs Fabian Hollaus, Markus Diem, Robert Sablatnig Proceedings of International Conference on Frontiers in Handwriting Recognition Icfhr, 2018
Binarization of multispectral document images Fabian Hollaus, Markus Diem, Robert Sablatnig Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2015
Can modern technologies defeat Nazi censorship? Simone Pentzien, Ira Rabin, Oliver Hahn, Jörg Krüger, Florian Kleber, et al. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2013
Multispectral image acquisition of ancient manuscripts Fabian Hollaus, Melanie Gau, Robert Sablatnig Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2012
Architectural style classification of domes Gayane Shalunts, Yll Haxhimusa, Robert Sablatnig Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2012
Segmentation of building facade domes Gayane Shalunts, Yll Haxhimusa, Robert Sablatnig Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2012
Classification of gothic and baroque architectural elements 2012 19th International Conference on Systems Signals and Image Processing Iwssip 2012, 2012
Architectural style classification of building facade windows Gayane Shalunts, Yll Haxhimusa, Robert Sablatnig Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2011
Strip Shredded Document Reconstruction using Optical Character Recognition 4th International Conference on Imaging for Crime Detection and Prevention 2011 Icdp 2011, 2011
Local descriptors for document layout analysis Angelika Garz, Markus Diem, Robert Sablatnig Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2010
Are characters objects? Markus Diem, Robert Sablatnig Proceedings 12th International Conference on Frontiers in Handwriting Recognition Icfhr 2010, 2010
Preface: VSMM 2009 Vsmm 2009 Proceedings of the 15th International Conference on Virtual Systems and Multimedia, 2009
Window detection from terrestrial laser scanner data: A statistical approach Visapp 2009 Proceedings of the 4th International Conference on Computer Vision Theory and Applications, 2009
Stereo vision based self-localization of autonomous mobile robots Abdul Bais, Robert Sablatnig, Jason Gu, Yahya M. Khawaja, Muhammad Usman, et al. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2008
Signal Processing, Patern Recognition, and Applications (SPPRA 2007): Foreword Proceedings of the 4th IASTED International Conference on Signal Processing Pattern Recognition and Applications Sppra 2007, 2007
Location tracker for a mobile robot Abdul Bais, Robert Sablatnig, Jason Gu, Yahya M. Khawaja IEEE International Conference on Industrial Informatics Indin, 2007
Propagation of uncertainty in landmark based self-localization of autonomous mobile robots Proceedings of Iapr Conference on Machine Vision Applications Mva 2007, 2007
Ancient coins & ceramics - 3d and 2d documentation for preservation and retrieval of lost heritage International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences ISPRS Archives, 2007
3D data retrieval of archaeological pottery Martin Kampel, Robert Sablatnig Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2006
Profile-based Pottery Reconstruction M. Kampel, R. Sablatnig IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2003
Stroke boundary analysis for identification of drawing tools Paul Kammerer, Georg Langs, Robert Sablatnig, Ernestine Zolda Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2003
Stroke segmentation in infrared reflectograms Paul Kammerer, Georg Langs, Robert Sablatnig, Ernestine Zolda Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2003
Automated segmentation of archaeological profiles for classification Proceedings International Conference on Pattern Recognition, 2002
Combining shape from silhouette and shape from structured light for volume estimation of archaeological vessels Proceedings International Conference on Pattern Recognition, 2002
Machine vision for automatic calibration of analog display instruments Proceedings of SPIE the International Society for Optical Engineering, 1995
Application constraints in the design of an automatic reading device for analog display instruments IEEE Workshop on Applications of Computer Vision Proceedings, 1994
Semantically Stable Image Composition Analysisvia Saliency and Gradient Vector Flow Fusion A Dadras, R Sablatnig, F Proksa, M Seidl arXiv preprint arXiv:2604.16500 , 2026 2026
SeaClips: A Video Dataset for Maritime Object Detection. F Denk, C Rankl, S Almouahed, D Moser, R Sablatnig Proceedings of the IEEE/CVF Winter Conference on Applications of Computer … , 2026 2026
ClapperText: A Benchmark for Text Recognition in Low-Resource Archival T Lin, M Peer, F Kleber, R Sablatnig Document Analysis and Recognition–ICDAR 2025 Workshops: Wuhan, China … , 2026 2026
Near Real Time Explainable Detection of Small Objects in Remote Sensing M Burges, R Sablatnig Asian Conference on Pattern Recognition, 33-47 , 2025 2025
Few-shot connectivity-aware text line segmentation in historical documents R Sterzinger, T Lin, R Sablatnig Asian Conference on Pattern Recognition, 100-114 , 2025 2025 Citations: 2
Rule-of-Thirds Detection with Interpretable Geometric Features A Dadras, T Lin, R Sablatnig, M Seidl Proceedings of the 7th International Workshop on analySis, Understanding and … , 2025 2025 Citations: 1
DGME-T: Directional Grid Motion Encoding for Transformer-Based Historical Camera Movement Classification T Lin, A Dadras, F Kleber, R Sablatnig Proceedings of the 7th International Workshop on analySis, Understanding and … , 2025 2025
A quantitative performance comparison of Google Coral TPU and NVIDIA Jetson Orin Nano in image processing applications P Diem, O Sluciak, E Bodenstorfer, P Meyer-Heye, R Sablatnig EMVA Forum 2025 , 2025 2025
Camera Movement Classification in Historical Footage: A Comparative Study of Deep Video Models T Lin, A Dadras, F Kleber, R Sablatnig arXiv preprint arXiv:2510.14713 , 2025 2025
ClapperText: A Benchmark for Text Recognition in Low-Resource Archival Documents T Lin, M Peer, F Kleber, R Sablatnig International Conference on Document Analysis and Recognition, 329-346 , 2025 2025
Few-Shot Segmentation of Historical Maps via Linear Probing of Vision Foundation Models R Sterzinger, M Peer, R Sablatnig International Conference on Document Analysis and Recognition, 425-442 , 2025 2025 Citations: 2
Towards the Influence of Text Quantity on Writer Retrieval M Peer, R Sablatnig, F Kleber International Conference on Document Analysis and Recognition, 129-145 , 2025 2025
Visual Heritage: Visual Analytics and Computer Vision Meet Cultural Heritage (doc. funds. connect) W Aigner, S Miksch, F Proksa, R Sablatnig, M Seidl, W Manuela, ... Abstractband: 18. Forschungsforum der österreichischen Fachhochschulen, 558-559 , 2025 2025
Interactive object detection for tiny objects in large remotely sensed images M Burges, S Zambanini, R Sablatnig 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV … , 2025 2025 Citations: 4
Advances in Machine Learning for the Automated Analysis of Manuscripts F Kleber, M Peer, R Sablatnig Written Heritage, New Challenges and Perspectives, 355-377 , 2025 2025
Advancing Handwritten Text Detection by Synthetic Text M Muth, M Peer, F Kleber, R Sablatnig International Conference on Pattern Recognition, 122-136 , 2024 2024 Citations: 2
Fusing forces: deep-human-guided refinement of segmentation masks R Sterzinger, C Stippel, R Sablatnig International Conference on Pattern Recognition, 154-169 , 2024 2024 Citations: 2
Kairacters: character-level-based writer retrieval for Greek papyri M Peer, R Sablatnig, O Serbaeva, I Marthot-Santaniello International Conference on Pattern Recognition, 73-88 , 2024 2024 Citations: 5
Making Archives Searchable: Vision-Language Models for Classification of Historical Aerial Imagery M Burges, S Zambanini, R Sablatnig Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Searching … , 2024 2024 Citations: 1
Maximizing Data Efficiency of HTR Models by Synthetic Text M Muth, M Peer, F Kleber, R Sablatnig International Workshop on Document Analysis Systems, 295-311 , 2024 2024 Citations: 1
MOST CITED SCHOLAR PUBLICATIONS
Cvl-database: An off-line database for writer retrieval, writer identification and word spotting F Kleber, S Fiel, M Diem, R Sablatnig 2013 12th international conference on document analysis and recognition, 560-564 , 2013 2013 Citations: 353
Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study G Muehlberger, L Seaward, M Terras, S Ares Oliveira, V Bosch, M Bryan, ... Journal of documentation 75 (5), 954-976 , 2019 2019 Citations: 291
Writer identification and retrieval using a convolutional neural network S Fiel, R Sablatnig International conference on computer analysis of images and patterns, 26-37 , 2015 2015 Citations: 176
A novel image retrieval based on visual words integration of SIFT and SURF N Ali, KB Bajwa, R Sablatnig, SA Chatzichristofis, Z Iqbal, M Rashid, ... PloS one 11 (6), e0157428 , 2016 2016 Citations: 136
Word beam search: A connectionist temporal classification decoding algorithm H Scheidl, S Fiel, R Sablatnig 2018 16th International conference on frontiers in handwriting recognition … , 2018 2018 Citations: 131
Writer identification and writer retrieval using the fisher vector on visual vocabularies S Fiel, R Sablatnig 2013 12th International conference on document analysis and recognition, 545-549 , 2013 2013 Citations: 124
Hierarchical classification of paintings using face-and brush stroke models R Sablatnig, P Kammerer, E Zolda Proceedings. Fourteenth International Conference on Pattern Recognition (Cat … , 1998 1998 Citations: 119
3D MURALE: A multimedia system for archaeology J Cosmas, T Itegaki, D Green, E Grabczewski, F Weimer, L Van Gool, ... Proceedings of the 2001 conference on Virtual reality, archeology, and … , 2001 2001 Citations: 115
Architectural style classification of building facade windows G Shalunts, Y Haxhimusa, R Sablatnig International Symposium on Visual Computing, 280-289 , 2011 2011 Citations: 109
Writer retrieval and writer identification using local features S Fiel, R Sablatnig 2012 10th IAPR International Workshop on Document Analysis Systems, 145-149 , 2012 2012 Citations: 105
Automated identification of tree species from images of the bark, leaves or needles S Fiel, R Sablatnig na , 2010 2010 Citations: 87
Image retrieval by addition of spatial information based on histograms of triangular regions N Ali, KB Bajwa, R Sablatnig, Z Mehmood Computers & Electrical Engineering 54, 539-550 , 2016 2016 Citations: 86
A robust SIFT descriptor for multispectral images S Saleem, R Sablatnig IEEE signal processing letters 21 (4), 400-403 , 2014 2014 Citations: 85
ICDAR 2013 competition on handwritten digit recognition (HDRC 2013) M Diem, S Fiel, A Garz, M Keglevic, F Kleber, R Sablatnig 2013 12th international conference on document analysis and recognition … , 2013 2013 Citations: 76
Binarization-free text line segmentation for historical documents based on interest point clustering A Garz, A Fischer, R Sablatnig, H Bunke 2012 10th IAPR International Workshop on Document Analysis Systems, 95-99 , 2012 2012 Citations: 75
Rule based system for archaeological pottery classification M Kampel, R Sablatnig Pattern Recognition Letters 28 (6), 740-747 , 2007 2007 Citations: 67
Automatic reading of analog display instruments R Sablatnig, WG Kropatsch Proceedings of 12th international conference on pattern recognition 1, 794-797 , 1994 1994 Citations: 67
A survey of techniques for document and archaeology artefact reconstruction F Kleber, R Sablatnig 2009 10th International Conference on Document Analysis and Recognition … , 2009 2009 Citations: 61
ICFHR 2014 competition on handwritten digit string recognition in challenging datasets (HDSRC 2014) M Diem, S Fiel, F Kleber, R Sablatnig, JM Saavedra, D Contreras, ... 2014 14th International Conference on Frontiers in Handwriting Recognition … , 2014 2014 Citations: 59
Model-based registration of front-and backviews of rotationally symmetric objects R Sablatnig, M Kampel Computer Vision and Image Understanding 87 (1-3), 90-103 , 2002 2002 Citations: 58
Industry, Institute, or Organisation Collaboration
2004 - 2010 Founding Chair of IAPR-TC19: TC19: Computer Vision for Cultural Heritage Applica¬tions concerned with design methods for Cultural Heritage documentation systems and components, 3D reconstruction of cultural heritage objects and fragments, Reassembly of artifacts from fragments, 3D architectural site reconstruction or representation from imagery and other data, Shape representation for free-form modeling (statues, bones, etc.), Automated trench recordings from video, Shape matching/indexing in large databases (for a single site and across multiple sites), Automated architectural drawing.
Since 2012 Member of the Governing Board of the International Association for Pattern Recognition (IAPR).
STARTUP
2021 - 2023 Co-founder and partner of RockDoc GmbH
2011 - Co-founder and partner of app-informatics Ziviltechnik GmbH