OAGM Workshop 2021

Computer Vision and Pattern Analysis Across Domains

Due to the development of the pandemic situation we had to cancel the workshop. However, as the review process was already finished it was possible to publish the proceedings.

24.-25. November 2021, St. Pölten, Austria

Proceedings

Markus Seidl, Matthias Zeppelzauer, Peter Roth (eds.), Computer Vision and Pattern Analysis Across Domains – Proceedings of the OAGM Workshop 2021,
http://dx.doi.org/10.3217/978-3-85125-869-1

Call for Papers

The Austrian Association for Pattern Recognition (OAGM) invites authors and guests to participate at its 44th annual workshop, held in St.Pölten, Austria, on November 24-25, 2021. The workshop provides a platform for presentation and discussion of research progress as well as current projects within the OAGM community. This year, we additionally focus on interdisciplinary research of computer vision and pattern analysis across application domains and research disciplines, with the aim to bring together Austrian and nearby located groups, researchers and students working on interdisciplinary topics for discussion and establishing potential collaborations.

General topics of interest include but are not limited to:

  • Pattern analysis (visual & non-visual data)
  • Object/scene detection, recognition & categorization
  • 3D vision, stereo & structure from X
  • Image, video, and multimodal indexing & retrieval
  • Safety & security, biometrics
  • Statistical methods & learning
  • Embedded computer vision
  • Resource efficient computer vision
  • Image denoising, restoration & enhancement
  • Mobile vision
  • Motion & tracking
  • Video analysis & event recognition
  • Face & gesture analysis
  • Vision datasets, benchmarking, and performance evaluation
  • Interactive learning and user interaction for vision-based systems
  • Explainability, bias and fairness in computer vision & pattern analysis
  • Visual content synthesis
  • Affective/emotional visual analysis & interfaces
  • Medical Image Analysis
  • Multi- and Hyperspectral Image Analysis
  • Robot Vision

Beyond these topics, we explicitly invite papers focusing on interdisciplinary approaches and applications of computer vision and pattern analysis in, e.g., Cultural Heritage / GLAM, Healthcare/Medicine, Biology, Chemistry, Economy, Mobility, Industry, Social Sciences, Humanities, Remote Sensing & Earth Observation, Plant Phenotyping, and (Precision) Farming.

Submission

We solicit full papers (4-6 pages) of original, unpublished work, application spotlight papers (1-2 pages) focusing on the solution of practical problems in industry and other domains, and student papers (2 pages, presented as a poster). Paper lengths exclude references. All submitted papers will undergo a double-blind peer review process by the program committee. Accepted papers will be published online with “Verlag der TU Graz” in a fully open access electronic volume (with ISBN, and DOIs for individual papers), compare https://aapr.at/?page_id=398 for links to last year’s proceedings.

An OCG sponsored Best Paper Award will be awarded to the best work selected among the accepted full papers and student posters.

Submission: https://cmt3.research.microsoft.com/AAPRWS2021 

Please use this paper template for the submission: ARW_OAGM_2021_latex_template
For camera ready submission, please include this copyright form: Publishing-Agreement-OAGM-2021

Location

St. Pölten, Austria (St. Pölten University of Applied Sciences, https://research.fhstp.ac.at/en). Situated 60 km to the west of Vienna in Austria’s oldest baroque town, St. Pölten University of Applied Sciences was founded in 1996 and is an expanding institution of higher education.

Conference Chairs

Markus Seidl and Matthias Zeppelzauer, FH St. Pölten UAS

Publication Chair

Peter M. Roth, Technical University of Munich

Invited Speakers

Andreas Maier, FAU Erlangen-Nürnberg: Known Operator Learning: An approach to unite physics, signal processing, and machine learning

Marc Pollefeys, ETH Zürich: TBA

Markus Schedl, JKU Linz: Detecting Patterns in User and Item Data for Music Recommendation

Programme Committee

Helmut Ahammer, Medical University of Graz
Csaba Beleznai, Austrian Institute of Technology
Horst Bischof, TU Graz
Michael Bleyer, Microsoft
Kristian Bredies, University of Graz
Katja Bühler, VRVis
Isabel Dregely, Technikum Wien
Christian Eitzinger, Profactor Research
Cornelia Fermüller, University of Maryland
Friedrich Fraundorfer, TU Graz
Johannes Fürnkranz, JKU Linz
Harald Ganster, Joanneum Research
Margrit Gelautz, TU Wien
Levente Hajder, Eötvös Loránd University
Martin Kampel, TU Wien
Viktor Kaufmann, TU Graz
Florian Kleber, TU Wien
Walter G. Kropatsch, TU Wien
Arjan Kuijper, TU Darmstadt
Christoph Lampert, IST Austria
Vincent Lepetit, TU Graz
Mathias Lux, AAU Klagenfurt
Gwenael Mercier, University of Vienna
Andreas Müller, JKU Linz
Gerhard Paar, Joanneum Research
Roland Perko, Joanneum Research
Andreas Pichler, Profactor Research
Thomas Pock, TU Graz
Peter M. Roth, TU Graz
Robert Sablatnig, TU Graz
Muntaha Sakeena, FH St. Pölten
Josef Scharinger, JKU Linz
Alexander Schindler, Austrian Institute of Technology
Otmar Scherzer, University of Vienna
Djordje Slijepcevic, FH St. Pölten
Gernot Stübl, Profactor Research
Stefan Thumfart, RISC Software GmbH
Andreas Uhl, University of Salzburg
Martin Welk, UMIT Tirol
Christopher Zach, Chalmers University of Technology

Important Dates

Full paper submission deadline: September 10, 2021 Deadline Extension to September 24, 2021

Notification of acceptance: October 22, 2021 Postponed to October 27th, 2021

Final paper due: October 29, 2021 Postponed to November 12th, 2021

Workshop St. Pölten: November 24/25, 2021   CANCELLED

Contact: aaprws21@fhstp.ac.at