DAGM GCPR | 2023

DAGM German Conference on Pattern Recognition, Heidelberg

DAGM German Conference on Pattern Recognition, Heidelberg, September 19 - September 22, 2023

Heidelberg, Germany

The German Conference on Pattern Recognition (GCPR) is the annual symposium of the German Association for Pattern Recognition (DAGM). It is the national venue for recent advances in image processing, pattern recognition, and computer vision and it follows the long tradition of the DAGM conference series, which has been renamed to GCPR in 2013 to reflect its increasing internationalization. In 2023 in Heidelberg, the conference series will celebrate its 45th anniversary.

On Wednesday 20.9, 17-20 o'clock we run an industry fair which is open to the public, without registration. 

This year we will have a workshop on Scene Understanding for Autonomous Drone Delivery, and a tutorial on Normalizing Flows and Invertible Neural Networks in Computer Vision.

Registration is open!

Important dates of GCPR 2023 can be found here.

Submission instructions are published and the submission system is open.

For questions please contact us: gcpr-2023@iwr.uni-heidelberg.de

Keynote Talks

Patrick Perez is Valeo VP of AI and Scientific Director of valeo.ai, working on automotive applications, self-driving cars in particular. Before joining Valeo, Patrick Perez was researcher at Technicolor, Inria, and Microsoft Research Cambridge. His research interests include multimodal scene understanding and computational imaging.

        

                

 Michael Unser is Full Professor with EPFL's School of Engineering and the academic director of EPFL's Center for Imaging in Lausanne/Switzerland. His primary research areas are biomedical imaging and applied functional analysis. He is internationally recognized for his research contributions to sampling theory, wavelets, the use of splines for image processing, stochastic processes, and computational bioimaging. He received several international prizes including five IEEE-SPS Best Paper Awards, the Technical Achievement Award from EURASIP (2018), and a recent Career Achievement Award (IEEE EMBS 2020). He was awarded three ERC AdG grants: FUNSP (2011-2016), GlobalBioIm (2016-2021), and FunLearn (2021-2026). 
Lena Maier-Hein is Professor at Heidelberg University and head of the division Intelligent Medical Systems at the German Cancer Research Center (DKFZ). Her research focuses on machine learning-based biomedical image analysis with an emphasis on surgical data science, computational biophotonics and validation of machine learning algorithms. During her academic career, Lena Maier-Hein has been distinguished with several science awards including the Heinz Maier Leibnitz Award of the German Research Foundation (DFG) and the Berlin-Brandenburg Academy Prize. Further international recognitions include a European Research Council (ERC) starting grant (2015-2020) and consolidator grant (2021-2026).
Barbara Plank is Professor for AI and Computational Linguistics at LMU Munich where she leads the MainNLP lab, and co-director of the Center for Information and Language Processing (CIS). Additionally, she is professor at IT University of Copenhagen, and co-lead of NLPnorth. Her research interest are, among others, cross-domain and cross-language processing, multimodal learning, such as language and vision, and learning from human data. She received many awards, including an Oustanding Paper Award 2021 at the European Association for Computational Linguistics and an ERC Consolidator Grant.

 

Invited PI Talks (PITA)

Daniel Cremers is professor at TU Munich (TUM) and director of the Munich Center for Machine Learning (MCML). His research focuses on computer vision, machine learning, robotics and mathematical image analysis. He received five ERC grants and was awarded the Gottfried Wilhelm Leibniz Award 2016. He is co-founder of several companies, most recently the high-tech startup Antisense.

Christoph Lampert is Professor at the Institute of Science and Technology Austria (ISTA). His research interests are in machine learning and computer vision, such as transfer learning, learning with non-i.i.d. data, and trustworthy machine learning. He received a large number of awards, including a best paper prize at CVPR 2008, and an ERC Starting Grant in 2012.

Bernt Schiele is Max Planck Director at MPI for Informatics and Professor at Saarland University. His research focuses on computer vision and machine learning and these days he is particularly interested in interpretability. 
Anna Kreshuk is a Group Leader at EMBL. Her research focuses on automatic segmentation and analysis of microscopy images. In particular, she is interested in large-scale, high-throughput or multi-modal applications, weak and sparse supervision as well as representation learning for biological analysis. Besides, Anna is leading the development of the ilastik software and of the BioImage Model Zoo, aiming to make such methods available to life scientists without computational expertise.

                 		 Jens Kleesiek is professor at University Hospital Essen, Institute for AI in Medicine. He is a board certified radiologist and has a specialization in medical informatics. His research focuses on methods for self- and weakly-supervised learning for detecting clinically relevant patterns and on the integration of multimodal information for improving decision-making at the point of care. He has won several awards such as the Annual Lucien Levy Best Research Article Award Winner 2015 (American Journal of Neuroradiology).