Since 2011, the DAGM has annually granted the German Pattern Recognition Award for outstanding, internationally visible research in the fields of pattern recognition, computer vision, and machine learning. The German Pattern Recognition Award continues the tradition of the Olympus Award for Pattern Recognition (1992-2010).

Its aim is to promote outstanding young scientists in the fields of pattern recognition, computer vision, and machine learning. Internationally visible researchers in these fields who have not yet passed the age of 35 in the year of the awards presentation can be proposed. An association of the candidates with the DAGM is desirable. The German Pattern Recognition Award is currently donated by Daimler AG and consists of a financial award of 5000 euros.

In 2019, the German Pattern Recognition Award was granted to Dr. Gerard Pons-Moll  for his scientific contributions in the area of

capturing and modeling peope from images and 3D scans

In 2018, the German Pattern Recognition Award was granted to Prof. Angela Yao for her outstanding contributions to the areas of

hand pose estimation and action recognition

In 2017, the German Pattern  Recognition Award was granted to Dr. Andreas Geiger for research in

computer vision for understanding traffic scenes

In 2016, the German Pattern Recognition Award was granted to Dr. Sebastian Nowozin for his fundamental work on

Inference in structured probabilistic models with applications to computer vision

Pictured left to right: Dr. Uwe Franke (Daimler AG), Dr. Sebastian Nowozin, Prof. Dr. Reinhard Koch (Chairman of the German Association for Pattern Recognition DAGM)

Sebastian Nowozin's work on structured prediction for computer vision, in particular his work on structured prediction models, has shown that rich expressive models for pattern recognition problems can still be computationally efficient and can advance the state of the art in important statistical imaging applications such as image denoising, deblurring, and demosaicing. His research findings have also had a direct impact on Microsoft products that use computer vision and machine learning.

In 2015, the German Pattern Recognition Award was granted to Prof. Stefanie Jegelka for her fundamental work on

Submodular functions in machine learning and computer vision

In 2014, the German Pattern Recognition Award was granted to Prof. Dr. Jürgen Gall for his fundamental work on

Interacting particle systems and random forests with applications to human pose estimation, object detection, and action recognition

In 2013, the German Pattern Recognition Award was granted to Dr. Thomas Pock for his fundamental work on

Variational and optimization methods for image processing and computer vision

Pictured left to right: Prof. Joachim M. Buhmann (Chairman of the German Association for Pattern Recognition DAGM), Dr. Thomas Pock, Dr. Uwe Franke (Daimler AG)

In 2012, the German Pattern Recognition Award was granted to two outstanding researchers.

Pictured left to right:  Dr. Uwe Franke (Daimler AG), Dr. Christian Theobalt, Prof. Andreas Krause,  Prof. Joachim M. Buhmann (Chairman of the German Association for Pattern Recognition DAGM)

The German Pattern Recognition Award was granted to Prof. Dr. Andreas Krause for his fundamental work on

Submodular optimization in machine learning and artificial intelligence

The German Pattern Recognition Award was granted to Dr. Christian Theobalt for his fundamental work on

3D reconstruction of static and dynamic scenes

In 2011, the German Pattern Recognition Award was granted to Prof. Dr. Matthias Hein for his fundamental work on

Graph-based learning methods, in particular manifold learning and nonlinear eigenproblems