January 24-27, 2023
Gyula, Hungary

Welcome to KEPAF 2023 Flyer

The conference is organized by the Hungarian Association for Image Analysis and Pattern Recognition (in Hungarian KÉPAF) and involves various topics on image processing, pattern recognition, computer vision and machine learning. It is the main bi-yearly event for the Hungarian image processing and computer vision community. The following conference will take place between 24th and 27th of January, 2023 in Gyula, Hungary.

The conference follows a single track and traditionally is composed of six half-day events. It also includes invited talks as well as the spotlight presentations of the accepted papers followed by discussions in the poster sessions. One of the main goals of the conference to present the recent advances and research results published by the community. The accepted papers are published in the online version of the conference proceedings. Moreover, the bi-annual renewal meeting takes place during the conference, where the steering committee of the association is also elected.

The best young researcher will be awarded with the Kuba Attila Prize, moreover the best PhD dissertation will also be awarded with the PhD prize.

It is not only welcome but is highly encouraged that industrial companies attend on the conference and present their work and results on the relevant application domains. The conference offer an opportunity to show technical demos of industrial applications in a dedicated sessions.

The official language of the conference is both English and Hungarian.

Topics of interest

  • 2D and 3D vision;
  • Biological and medical image processing and computer aided imaging;
  • Face, gesture, human pose and motion recognition and biometry;
  • Feature extractions and analysis;
  • Image processing;
  • Image registration and matching and assignment;
  • Image understanding;
  • Image/video encoding, tracking and authentication;
  • Industrial applications;
  • Miscellaneous applications (microscopy, material science, ...);
  • Motion analysis;
  • Object and scene recognition;
  • Parallel processing on GPUs;
  • Pattern recognition;
  • Remote sensing;
  • Segmentation and grouping;
  • Shape analysis and modeling;
  • Statistical models and visual learning;
  • Video event detection, classification and segmentation;