OAGM Workshop 2022

Digitalization for Smart Farming and Forestry

September 13–14, 2022, TullnOctober 17/18, 2022 (Online: Zoom)

The Austrian Association for Pattern Recognition (OAGM) invites authors and guests to participate at its 45th annual workshop, held in Tulln, Austria, on September 13–14, 2022 as an online event (via Zoom) on October 17/18, 2022. 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 in particular in the  application domains farming, agriculture, and forestry. The aim would be 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:

  • 3D vision, stereo, and structure from X 
  • Active learning, interactive machine learning, and human-in-the-loop
  • Animal and plant phenotyping
  • Cyber-physical systems for smart farm and forest operations
  • Embedded and mobile computer vision / machine learning
  • Explainability, ethics, and fairness in computer vision / machine learning 
  • Image denoising, restoration & enhancement 
  • Image, video, and multimodal retrieval 
  • (Bio-)Medical image analysis
  • Motion and  tracking 
  • Multi- and hyperspectral image analysis
  • Object/scene detection, recognition, and categorization
  • Pattern analysis (visual and non-visual data) 
  • Precision agriculture and precision forestry
  • Remote sensing and earth observation
  • Robot vision and embedded intelligence
  • Sensors and information fusion
  • Statistical methods and machine learning
  • Video analysis and event recognition 
  • Vision datasets, benchmarking, and performance evaluation

Contact

workshop@aapr.at

Location:

The workshop will be held at the University of Natural Resources and Life Sciences Vienna, Campus Tulln, Ingeborg Dirmhirn House, Konrad Lorenz Straße 24, 3430 Tulln.

The workshop will be organized by University of Natural Resources and Life Sciences Vienna. Due to COVID restrictions the meetings cannot take place on site as planned. Thus, the meeting would be a pure online event held via Zoom (The corresponding links would be provided soon.). In addition, it was necessary to postpone the meeting from September to October!

Conference Chairs:

  • Hermann Bürstmayr (BOKU)
  • Andreas Gronauer (BOKU)
  • Andreas Holzinger (BOKU)
  • Peter M. Roth (Vetmeduni, TUM)
  • Karl Stampfer (BOKU)

Submission:

We solicit full papers (6 pages) of original, unpublished work, application spotlight papers (1–2 pages) focusing on the solution of practical problems, and student papers (2 pages, presented as short presentations). 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). 

The papers need to be submitted via

https://cmt3.research.microsoft.com/OAGM2022

following the format given in the official template (LaTex and Word). For camera ready submission, please also upload the official Publishing Agreement form.

Highlight Papers:

Selected papers will be invited to contribute to the special issue of Machine Learning & Knowledge Extraction:

https://www.mdpi.com/journal/make/special_issues/Human_Centered_AI

In addition, there will be three awards:

  • OCG Best Paper Award for the best full paper
  • Best Student Paper Award for the best student paper
  • IEEE Best Woman  Paper Award for the best full paper of a female first author

Important Dates: 

  • Paper submission deadline: August 14, 2022 October 5, 2022
  • Notification of acceptance: August 30, 2022 rolling review (papers are reviewed on submission)
  • Final papers due: September 6, 2022 October 12, 2022 (firm)
  • Workshop in Tulln: September 13–14, 2022 (online): October 17/18, 2022