German Pattern Recognition Award
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 2020, the German Pattern Recognition Award was granted to Prof. Dr. Matthias Nießner for his pioneering research on
tracking, reconstructing and visualizing photorealistic 3D face models from video with machine learning and AI
Pictured top to bottom: Prof. Dr. Reinhard Koch (Chairman of the German Association for Pattern Recognition DAGM), Dr. Uwe Franke (Daimler AG), Prof. Dr. Matthias Nießner
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
Pictured left to right: Prof. Dr. Reinhard Koch (Chairman of the German Association for Pattern Recognition DAGM), Dr. Gerard Pons-Moll, Dr. Uwe Franke (Daimler AG)
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
Pictured left to right: Dr. Uwe Franke (Daimler AG), Prof. Angela Yao, Prof. Dr. Reinhard Koch (Chairman of the German Association for Pattern Recognition DAGM)
Prof. Yao's work on action recognition was one of the first works on spatio-temporal action localization and has inspired many others in this field. She was also one of the first to demonstrate the benefits of higher-level representations for action recognition. In her recent works, she proposed a solution to the lack of accurate ground truth data, which has become very popular in the hand pose estimation community.
In 2017, the German Pattern Recognition Award was granted to Dr. Andreas Geiger for research in
computer vision for understanding traffic scenes
Pictured left to right: Dr. Uwe Franke (Daimer AG), Dr. Andreas Geiger, Prof. Dr. Reinhard Koch (Chairman of the German Association for Pattern Recognition DAGM)
Dr. Andreas Geiger is known world-wide for his KITTI benchmark suite that is recognized as today’s number one benchmark for optical flow, stereo vision, and visual odometry. After his outstanding PhD on understanding traffic scenes, he joined the MPI-IS where he quickly built up a strong research identity and became an independent Max Planck Group Leader (W2) in 2016. Since 2013 he has made truly exceptional and inspiring contributions to the field of computer vision with many results ranking high in international competitions.
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
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)
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
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
Olympus Preisträger 2010 in Darmstadt
Stefan Roth was awarded the Olympus-Price 2010 for his outstanding work in statistical approaches to image modeling, motion estimation, human tracking, and object recognition.
Hochschule: TU Darmstadt
Ab 2010 wurde der Olympuspreis vom Deutschen Mustererkennungspreis abgelöst.