DAGM German Conference on Pattern Recognition, September 28 - October 1, 2021

DAGM German Conference on Pattern Recognition

Welcome to the 43rd DAGM German Conference on Pattern Recognition, the annual symposium of the German Association for Pattern Recognition (DAGM). The conference is an international premier venue for recent advances in pattern recognition including image processing, machine learning, and computer vision and welcomes submissions from all areas of pattern recognition. It features special tracks, nectar tracks, a special session on Unsolved Problems in Pattern Recognition, the German Pattern Recognition Award for outstanding research in the fields of pattern recognition, computer vision, and machine learning, the DAGM MVTec Dissertation Award, and the Young Researchers' Forum with an award for the best Master thesis. The best papers will be invited to contribute to a special issue of the International Journal of Computer Vision (IJCV).

The conference is organized as a virtual conference. The participation is free of charge, but a registration is required: virtual21.dagm-gcpr.de.

The preliminary program is available and includes four keynotes by David Forsyth (University of Illinois at Urbana-Champaign), Kristen Grauman (University of Texas at Austin, Facebook AI Research), Thorsten Joachims (Cornell University), and Jiri Matas (Czech Technical University, Prague).

A tutorial on Geometric Deep Learning will be given by Emanuele Rodolà (Sapienza University of Rome) and a workshop on Scene Understanding in Unstructured Environments will be organized on September 28. The day will be complemented by a Machine Learning Nectar Track and a Pattern Recognition and Computer Vision Nectar Track.